Dr Marco Palombo
(e/fe)
- Ar gael fel goruchwyliwr ôl-raddedig
Timau a rolau for Marco Palombo
Uwch Ddarlithydd (Athro Cyswllt), Pennaeth Delweddu Microstructure yn CUBRIC
Trosolwyg
Bywgraffiad
Rwy'n Gymrawd Arweinwyr y Dyfodol UKRI ac yn Athro Cyswllt (Uwch Ddarlithydd) mewn Delweddu Microstrwythur ym Mhrifysgol Caerdydd, gyda phenodiad ar y cyd rhwng Canolfan Delweddu Ymchwil yr Ymennydd Prifysgol Caerdydd (CUBRIC) yn yr Ysgol Seicoleg, lle rwy'n Bennaeth Delweddu Microstrwythur ac yn cyd-arwain y grŵp MicroTeam, a'r Ysgol Cyfrifiadureg a Gwybodeg, lle rwy'n cyd-arwain y grŵp Medical Image Computing.
Rwyf hefyd yn academydd arweiniol yn y Interdisciplinary Precision Oncology Cardiff Hub (IPOCH) ac wedi bod yn aelod o'r Ganolfan Deallusrwydd Artiffisial, Roboteg a Systemau Dynol-Peiriant (IROHMS) ym Mhrifysgol Caerdydd lle roeddwn i'n cyd-gadeirio'r Gweithgor "Human-centric AI for Medical Imaging".
Mae gen i B.Sc., M.Sc. a PhD mewn Ffiseg, gydag arbenigedd mewn modelu bioffisegol, dysgu peiriannau, modelu cyfrifiadurol, delweddu meddygol, a dadansoddi data.
Ymchwil
Rwy'n arwain y rhaglen ymchwil Microstructure Imaging yn CUBRIC. Fy niddordeb ymchwil yw cyfuno Ffiseg, Cyfrifiadureg a Niwrowyddoniaeth i ddatblygu technolegau delweddu anfewnwthiol ar gyfer diagnosis cynnar a prognosis cyflyrau niwrolegol a seiciatrig.
Tuag at y nod hwn, mae fy nhîm (gweler tab Ymchwil) a minnau yn cyfuno modelu cyfrifiadurol, MRI a dysgu peirianyddol modern i arloesi arloesi allweddol mewn delweddu microstrwythur a histoleg anfewnwthiol yr ymennydd (gyda ffocws penodol ar fater llwyd):
Yr arddangosiad cyntaf o feintioli anfewnwthiol o morffoleg celloedd cymhleth yr ymennydd, gan ddefnyddio sbectrosgopeg MR wedi'i bwysoli â diffusion a modelu cyfrifiadurol (Palombo et al., PNAS 2016);
Mapio maint a dwysedd corff celloedd, gan ddefnyddio SANDI (Palombo et al. Neuroimage 2020, Ianus et al. Neuroimage 2022); mapio cyfnewid dŵr, gan ddefnyddio NEXI (Jelescu et al. Niwrodelwedd 2022; Uhl et al. Niwrowyddoniaeth Delweddu 2024);
Cyfieithu delweddu maint a dwysedd y corff celloedd gan ddefnyddio SANDI ar sganwyr 3T clinigol i nodweddu patholeg Sglerosis Ymledol (MS) (Schiavi et al. Human Brain Mapping 2023, Magoni et al. Journal of Neurology 2023, Barakovic et al. Nature Sci Rep 2024);
Delweddu cyfyngu ac effeithiau cyfnewid gan ddefnyddio cymhareb amserol trylediad, TDR (Warner et al. Neuroimage 2023) a dibyniaeth amser trylediad dŵr a metabolit cyfunol (Mougel et al. Imaging Neuroscience 2024);
Modelau cynhyrchiol cyntaf o'i fath o morffolegau celloedd yr ymennydd cymhleth (Palombo et al., Neuroimage 2019), bwndeli axonal gyda ConFiG (Callaghan et al. Neuroimage 2020) a mater llwyd yr ymennydd gyda ConCeG (Aird-Rossiter et al. ISMRM2024) ar gyfer cynhyrchu modelau cyfrifiadurol ultra-realistig o ficrostrwythur yr ymennydd, sy'n hanfodol ar gyfer efelychiadau rhifiadol mwy realistig (ee Monte Carlo)
Mae gwaith diweddar yn canolbwyntio ar gyfuno modelau cyfrifiadurol o'r fath, efelychiadau Monte Carlo a dysgu peirianyddol ar gyfer delweddu microstrwythur y genhedlaeth nesaf, e.e.:
Mapiau o athreiddedd axonal fel marciwr delweddu newydd o demyelination (Hill et al. Neuroimage 2021);
Meintioli in vivo o adweithedd glial a niwrolid (Ligneul et al., Neuroimage 2019, Genovese et al., NMR Biomed 2021);
Delweddu microstrwythur canser-benodol i asesu ymateb tiwmor yr ymennydd i therapi radio / proton (Buizza et al., Ffiseg Feddygol 2020, Morelli et al. Ffiseg Feddygol 2023); canser endometrial (Maiuro et al. Ffiseg Feddygol 2025); ac efelychiadau a fframweithiau delweddu microstrwythur wedi'u teilwra i ganser yr afu (Grussu et al. medRxiv 2024, Grigoriu et al. medRxiv 2024, Voronova et al. Dadansoddiad Delwedd Feddygol 2025)
Amcangyfrif ar y cyd o briodweddau trylediad ac ymlacio canser y prostad gyda rVERDICT (Palombo et al. Nature Sci. Rep. 2023), a nodweddu microstrwythurol uwch o ganser y prostad gan ddefnyddio graddiannau cryf iawn (Molendowska et al. NMR Biomed 2024)
Casgliad Bayesian effeithlon gan ddefnyddio dysgu dwfn ar gyfer meintioli ansicrwydd a dirywiad mewn delweddu microstrwythur gan ddefnyddio μGUIDE (Jallais a Palombo, eLife 2024)
Nodweddu uwch o ficrostrwythur yr ymennydd yn ystod niwrodatblygiad iach (Genc et al. Cyfathrebu Natur 2025, Karat et al. bioRxiv 2024)
Cywasgu data effeithlon o ddata MRI aml-ddimensiwn gyda SirenMRI (Mancini et al, Nodiadau Darlith mewn Cyfrifiadureg 2022)
Cod ffynhonnell agored:
- SANDI: https://github.com/palombom/SANDI-Matlab-Toolbox-Latest-Release
- NEXI: https://github.com/QuentinUhl/nexi
- rDYFARNIAD: https://github.com/palombom/rVERDICT
- CANLLAW: https://github.com/mjallais/uGUIDE
- SirenMRI: https://github.com/palombom/SirenMRI
Cyllid
Mae ein hymchwil yn cael ei gefnogi gan ystod o gyrff cyllido a phartneriaid diwydiannol:
Ymchwil ac Arloesedd y DU
- 2025-2028: Adnewyddu Cymrodoriaeth Arweinwyr y Dyfodol UKRI: MR/T020296/2, (Prif Ymchwilydd Palombo), ~£700k
- 2022-2025: UKRI MRC: MR/W031566/1, (Cyd-Brif Ymchwilydd Palombo), ~£1m
- 2020-2025: Cymrodoriaeth Arweinwyr y Dyfodol UKRI: MR/T020296/1 & 2, (Prif Ymchwilydd Palombo), ~£1.3m
- 2022-2024: UKRI BBSRC: BB/X005089/1, (Prif Ymchwilydd Palombo), ~£22k
- 2022-2027: Ysgoloriaethau UKRI EPSRC DTP (Lewis Kitchingman a Jiří Benáček), ~£130k
Ymchwil Canser Cymru ac Ymddiriedolaeth GIG Prifysgol Felindre:
- Astudiaeth MIMOSA 2024- 2027 (Cyd-ymgeisydd Arweiniol Palombo), ~ £ 350k
Partneriaethau Strategol gyda Diwydiant
- GlaxoSmithKline Plc (GSK) - Ysgoloriaeth PhD (Elise Gwyther)
- F. Hoffmann-La Roche Ltd (Roche) - Prosiect ymchwil DEPICT (2024-2027)
- Siemens Healthineers Cyf
Cyngor Ymchwil Awstralia (ARC)
- Prosiect Darganfod 2025- 2028 "Modelau mathemategol newydd ar gyfer delweddu microstrwythur meinwe'r ymennydd" (Cyd-Brif Ymchwilydd Palombo), ~£300k
Cyhoeddiad
2025
- Voronova, A. K. et al. 2025. SpinFlowSim: A blood flow simulation framework for histology-informed diffusion MRI microvasculature mapping in cancer. Medical Image Analysis 102, article number: 103531. (10.1016/j.media.2025.103531)
- Maiuro, A., Palombo, M., Macaluso, E., Genovese, G., Bozzali, M., Giove, F. and Capuani, S. 2025. New functional MRI experiments based on fractional diffusion representation show independent and complementary contrast to diffusion-weighted and blood-oxygen-level-dependent functional MRI. Applied Sciences 15(9), article number: 4930. (10.3390/app15094930)
- Genc, S. et al. 2025. MRI signatures of cortical microstructure in human development align with oligodendrocyte cell-type expression. Nature Communications 16, article number: 3317. (10.1038/s41467-025-58604-w)
- Maiuro, A. et al. 2025. Endometrial cancer tissue features clusterization by kurtosis MRI.. Medical Physics (10.1002/mp.17718)
- Simsek, K., Gallea, C., Genovese, G., Lehéricy, S., Branzoli, F. and Palombo, M. 2025. Age-trajectories of higher-order diffusion properties of major brain metabolites in cerebral and cerebellar grey matter using in vivo diffusion-weighted MR spectroscopy at 3T. Aging Cell, article number: e14477. (10.1111/acel.14477)
- Preziosa, P. et al. 2025. Soma and neurite density abnormalities of paramagnetic rim lesions and core-sign lesions in multiple sclerosis. Journal of Neurology 272, article number: 145. (10.1007/s00415-025-12887-7)
2024
- Jallais, M. and Palombo, M. 2024. Introducing µGUIDE for quantitative imaging via generalized uncertainty-driven inference using deep learning. eLife 13, article number: RP101069. (10.7554/elife.101069.3)
- Molendowska, M. et al. 2024. Diffusion MRI in prostate cancer with ultra-strong whole body gradients. NMR in Biomedicine (10.1002/nbm.5229)
- Langkammer, C., Vaclavu, L., Kuestner, T., Bauer, M., Salameh, N., Palombo, M. and Lopez, R. P. 2024. ESMRMB 2024 focus topic: MR beyond trends—fact-checking MR. Magnetic Resonance Materials in Physics, Biology and Medicine 37, pp. 321-322. (10.1007/s10334-024-01177-4)
- Ioakeimidis, V. et al. 2024. Protocol for a randomised controlled unblinded feasibility trial of HD-DRUM, a rhythmic movement training application for cognitive and motor symptoms in people with Huntington’s disease. BMJ Open 14(7), article number: e082161. (10.1136/bmjopen-2023-082161)
- Cipiccia, S. et al. 2024. Fast X-ray ptychography: towards nanoscale imaging of large volume of brain. European Physical Journal Plus 139(5), article number: 434. (10.1140/epjp/s13360-024-05224-w)
- Barakovic, M. et al. 2024. A novel imaging marker of cortical “cellularity” in multiple sclerosis patients. Scientific Reports 14(1), article number: 9848. (10.1038/s41598-024-60497-6)
- Preziosa, P. et al. 2024. In-vivo assessment of Cellular Soma and Neurite Density Abnormalities in Multiple Sclerosis Paramagnetic Rim and Core-sign Lesions (P11-6.006). Neurology 102(17S1), article number: P11-6.006. (10.1212/WNL.0000000000205130)
- Mougel, E., Valette, J. and Palombo, M. 2024. Investigating exchange, structural disorder and restriction in Gray Matter via water and metabolites diffusivity and kurtosis time-dependence. Imaging Neuroscience 2, pp. 1-14. (10.1162/imag_a_00123)
- Ligneul, C. et al. 2024. Diffusion‐weighted MR spectroscopy: Consensus, recommendations, and resources from acquisition to modeling. Magnetic Resonance in Medicine 91(3), pp. 860-885. (10.1002/mrm.29877)
- Uhl, Q., Pavan, T., Molendowska, M., Jones, D. K., Palombo, M. and Jelescu, I. 2024. Quantifying human gray matter microstructure using neurite exchange imaging (NEXI) and 300 mT/m gradients. Imaging Neuroscience 2, pp. 1-19. (10.1162/imag_a_00104)
- Lou, J. et al. 2024. Predicting radiologists' gaze with computational saliency models in mammogram reading. IEEE Transactions on Multimedia 26, pp. 256-269. (10.1109/TMM.2023.3263553)
2023
- Endt, S. et al. 2023. In vivo myelin water quantification using diffusion–relaxation correlation MRI: A comparison of 1D and 2D methods. Applied Magnetic Resonance 54, pp. 1571-1588. (10.1007/s00723-023-01584-1)
- Ioakeimidis, V. et al. 2023. Protocol for a randomised controlled feasibility trial of HD-DRUM, a rhythmic movement training application for cognitive and motor symptoms in people with Huntington's disease. [Online]. medRxiv: medRxiv. (10.1101/2023.11.15.23298581) Available at: https://doi.org/10.1101/2023.11.15.23298581
- Schiavi, S. et al. 2023. Mapping tissue microstructure across the human brain on a clinical scanner with soma and neurite density image metrics. Human Brain Mapping 44(13), pp. 4792-4811. (10.1002/hbm.26416)
- Reddaway, J., Richardson, P. E., Bevan, R. J., Stoneman, J. and Palombo, M. 2023. Microglial morphometric analysis: so many options, so little consistency. Frontiers in Neuroinformatics 17, article number: 1211188. (10.3389/fninf.2023.1211188)
- Örzsik, B., Palombo, M., Asllani, I., Dijk, D., Harrison, N. A. and Cercignani, M. 2023. Higher order diffusion imaging as a putative index of human sleep-related microstructural changes and glymphatic clearance. NeuroImage 274, article number: 120124. (10.1016/j.neuroimage.2023.120124)
- Morelli, L. et al. 2023. Microstructural parameters from DW-MRI for tumour characterization and local recurrence prediction in particle therapy of skull-base chordoma. Medical Physics 50(5), pp. 2900-2913. (10.1002/mp.16202)
- Figini, M. et al. 2023. Comprehensive brain tumour characterization with VERDICT-MRI: evaluation of cellular and vascular measures validated by histology. Cancers 15(9), article number: 2490. (10.3390/cancers15092490)
- Spindler, M., Palombo, M., Zhang, H. and Thiel, C. M. 2023. Dysfunction of the hypothalamic-pituitary adrenal axis and its influence on aging: the role of the hypothalamus. Scientific Reports 13(1), article number: 6866. (10.1038/s41598-023-33922-5)
- Warner, W. et al. 2023. Temporal Diffusion Ratio (TDR) for imaging restricted diffusion: optimisation and pre-clinical demonstration. NeuroImage 269, article number: 119930. (10.1016/j.neuroimage.2023.119930)
- Palombo, M. et al. 2023. Joint estimation of relaxation and diffusion tissue parameters for prostate cancer with relaxation-VERDICT MRI. Scientific Reports 13(1), article number: 2999. (10.1038/s41598-023-30182-1)
- Margoni, M. et al. 2023. In vivo quantification of brain soma and neurite density abnormalities in multiple sclerosis. Journal of Neurology 270(1), pp. 433–445. (10.1007/s00415-022-11386-3)
2022
- Schilling, K. G., Palombo, M., O'Grady, K. P., Combes, A. J., Anderson, A. W., Landman, B. A. and Smith, S. A. 2022. Minimal number of sampling directions for robust measures of the spherical mean diffusion weighted signal: Effects of sampling directions, b-value, signal-to-noise ratio, hardware, and fitting strategy. Magnetic Resonance Imaging 94, pp. 25-35. (10.1016/j.mri.2022.07.015)
- Lim, J. P., Blumberg, S. B., Narayan, N., Epstein, S. C., Alexander, D. C., Palombo, M. and Slator, P. J. 2022. Fitting a directional microstructure model to diffusion-relaxation mri data with self-supervised machine learning. Lecture Notes in Computer Science 13722, pp. 77-88. (10.1007/978-3-031-21206-2_7)
- Jelescu, I. O., Skowronski, A. d., Geffroy, F., Palombo, M. and Novikov, D. S. 2022. Neurite Exchange Imaging (NEXI): A minimal model of diffusion in gray matter with inter-compartment water exchange. NeuroImage 256, article number: 119277.
- Ianus, A., Carvalho, J., Fernandes, F. F., Cruz, R., Chavarrias, C., Palombo, M. and Shemesh, N. 2022. Soma and Neurite Density MRI (SANDI) of the in-vivo mouse brain and comparison with the Allen Brain Atlas. NeuroImage 254, article number: 119135. (10.1016/j.neuroimage.2022.119135)
- Gyori, N., Palombo, M., Clark, C., Zhang, H. and Alexander, D. 2022. Training data distribution significantly impacts the estimation of tissue microstructure with machine learning. Magnetic Resonance in Medicine 87(2), pp. 932-947. (10.1002/mrm.29014)
- Palombo, M., Barbetta, A., Cametti, C., Favero, G. and Capuani, S. 2022. Transient anomalous diffusion MRI measurement discriminates porous polymeric matrices characterized by different sub-microstructures and fractal dimension. Gels 8(2), article number: 95. (10.3390/gels8020095)
2021
- Slator, P. et al. 2021. Combined diffusion-relaxometry microstructure imaging: Current status and future prospects. Magnetic Resonance in Medicine 86(6), pp. 2987-3011. (10.1002/mrm.28963)
- Kerkelaa, L. et al. 2021. Comparative analysis of signal models for microscopic fractional anisotropy estimation using q-space trajectory encoding. NeuroImage 242, article number: 118445. (10.1016/j.neuroimage.2021.118445)
- Ianus, A., Alexander, D., Zhang, H. and Palombo, M. 2021. Mapping complex cell morphology in the grey matter with double diffusion encoding MR: A simulation study. NeuroImage 241, article number: 118424. (10.1016/j.neuroimage.2021.118424)
- De Luca, A. et al. 2021. On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge. NeuroImage 240, article number: 118367. (10.1016/j.neuroimage.2021.118367)
- Grussu, F., Battiston, M., Palombo, M., Schneider, T., Wheeler-Kingshott, C. A. and Alexander, D. C. 2021. Deep learning model fitting for diffusion-relaxometry: a comparative study. In: Gyori, N. et al. eds. Computational Diffusion MRI. Mathematics and Visualization. Mathematics and Visualization Cham: Springer, pp. 159-172., (10.1007/978-3-030-73018-5_13)
- Afzali, M., Nilsson, M., Palombo, M. and Jones, D. K. 2021. SPHERIOUSLY? The challenges of estimating sphere radius non-invasively in the human brain from diffusion MRI. NeuroImage 237, article number: 118183. (10.1016/j.neuroimage.2021.118183)
- Slator, P. et al. 2021. Data-driven multi-contrast spectral microstructure imaging with InSpect: INtegrated SPECTral component estimation and mapping. Medical Image Analysis 71, article number: 102045. (10.1016/j.media.2021.102045)
- Palombo, M. et al. 2021. Joint estimation of relaxation and diffusion tissue parameters for prostate cancer grading with relaxation-VERDICT MRI. [Online]. medRxiv: Cold Spring Harbor Laboratory. (10.1101/2021.06.24.21259440) Available at: https://doi.org/10.1101/2021.06.24.21259440
- Perot, J., Celestine, M., Palombo, M., Dhenain, M., Humbert, S., Brouillet, E. and Flament, J. 2021. Identification of the key role of white matter alteration in the pathogenesis of Huntington’s Disease. [Online]. bioRxiv: Cold Spring Harbor Laboratory. (10.1101/2021.06.21.449242) Available at: https://doi.org/10.1101/2021.06.21.449242
- Valindria, V., Palombo, M., Chiou, E., Singh, S., Punwani, S. and Panagiotaki, E. 2021. Synthetic Q-Space learning with deep regression networks for prostate cancer characterisation with VERDICT. Presented at: 2021 IEEE 18th International Symposium on Biomedical Imaging, 13-16 April 20212021 IEEE 18th International Symposium on Biomedical Imaging (ISBI). IEEE, (10.1109/ISBI48211.2021.9434096)
- Genovese, G. et al. 2021. Inflammation-driven glial alterations in the cuprizone mouse model probed with diffusion-weighted magnetic resonance spectroscopy at 11.7 T. NMR in Biomedicine 34(4), article number: e4480. (10.1002/nbm.4480)
- Buizza, G. et al. 2021. Improving the characterization of meningioma microstructure in proton therapy from conventional apparent diffusion coefficient measurements using Monte Carlo simulations of diffusion MRI. Medical Physics 48(3), pp. 1250-1261. (10.1002/mp.14689)
- Callaghan, R., Alexander, D., Palombo, M. and Zhang, H. 2021. Impact of within-voxel heterogeneity in fibre geometry on spherical deconvolution. [Online]. arXiv: Cornell University. (10.48550/arXiv.2103.08237) Available at: https://doi.org/10.48550/arXiv.2103.08237
- Martins, J. P. d. A., Nilsson, M., Lampinen, B., Palombo, M., While, P. T., Westin, C. and Szczepankiewicz, F. 2021. Neural networks for parameter estimation in microstructural MRI: a study with a high-dimensional diffusion-relaxation model of white matter microstructure. [Online]. bioRxiv: Cold Spring Harbor Laboratory. (10.1101/2021.03.12.435163) Available at: https://doi.org/10.1101/2021.03.12.435163
- Palombo, M., Ianus, A., Guerreri, M., Nunes, D., Alexander, D., Shemesh, N. and Zhang, H. 2021. Corrigendum to “SANDI: A compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRI” [Neuroimage 215 (2020), 116835]. NeuroImage 226, article number: 117612. (10.1016/j.neuroimage.2020.117612)
- Henriques, R. N., Palombo, M., Jespersen, S. N., Shemesh, N., Lundell, H. and Ianuş, A. 2021. Double diffusion encoding and applications for biomedical imaging. Journal of Neuroscience Methods 348, article number: 108989. (10.1016/j.jneumeth.2020.108989)
- Hill, I. et al. 2021. Machine learning based white matter models with permeability: An experimental study in cuprizone treated in-vivo mouse model of axonal demyelination.. NeuroImage 224, article number: 117425. (10.1016/j.neuroimage.2020.117425)
2020
- Ning, L. et al. 2020. Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: algorithms and result. NeuroImage 221, article number: 117128. (10.1016/j.neuroimage.2020.117128)
- Pizzolato, M. et al. 2020. Acquiring and predicting multidimensional diffusion (MUDI) data: an open challenge. Presented at: MICCAI Workshop, Shenzhen, China, Oct 2019 Presented at Bonet-Carne, E. et al. eds.Computational Diffusion MRI. Mathematics and Visualization Springer pp. 195-208., (10.1007/978-3-030-52893-5_17)
- Callaghan, R., Alexander, D. C., Palombo, M. and Zhang, H. 2020. ConFiG: Contextual Fibre Growth to generate realistic axonal packing for diffusion MRI simulation. NeuroImage 220, article number: 117107. (10.1016/j.neuroimage.2020.117107)
- Jelescu, I. O., Palombo, M., Bagnato, F. and Schilling, K. G. 2020. Challenges for biophysical modeling of microstructure. Journal of Neuroscience Methods 344, article number: 108861. (10.1016/j.jneumeth.2020.108861)
- Slator, P. J. et al. 2020. Data-driven multi-contrast spectral microstructure imaging with InSpect. Presented at: MICCAI: International Conference on Medical Image Computing and Computer-Assisted Intervention, Lima, Peru, 4–8 October, 2020 Presented at Martel, A. et al. eds.Medical Image Computing and Computer Assisted Intervention – MICCAI 2020., Vol. 12266. Cham: Springer pp. 375-385., (10.1007/978-3-030-59725-2_36)
- Warner, R. W., Palombo, M., Dell'Acqua, F. and Drobnjak, I. 2020. Optimisation of Temporal Diffusion Ratio (TDR) to maximise its potential to map large axons: Insight from simulations. Presented at: ISMRM and SMRT Virtual Conference and Exhibition, 8-14 August 2020.
- Palombo, M., Ianus, A., Guerreri, M., Nunes, D., Alexander, D. C., Shemesh, N. and Zhang, H. 2020. SANDI: a compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRI.. NeuroImage 215, article number: 116835. (10.1016/j.neuroimage.2020.116835)
- Vincent, M., Palombo, M. and Valette, J. 2020. Revisiting double diffusion encoding MRS in the mouse brain at 11.7T: Which microstructural features are we sensitive to?. NeuroImage 207, article number: 116399. (10.1016/j.neuroimage.2019.116399)
- Capuani, S. and Palombo, M. 2020. Mini review on anomalous diffusion by MRI: Potential advantages, pitfalls, limitations, nomenclature, and correct interpretation of literature. Frontiers in Physics 7, article number: 248. (10.3389/fphy.2019.00248)
- Palombo, M. and Singh, S. 2020. Relaxed-VERDICT: decoupling relaxation and diffusion for comprehensive microstructure characterization of prostate cancer.. Presented at: ISMRM & SMRT Virtual Conference & Exhibition 2020, Online, 8-14 August 2020.
- Guerreri, M., Szczepankiewicz, F., Lampinen, B., Palombo, M., Nilsson, M. and Zhang, H. 2020. Tortuosity assumption not the cause of NODDI’s incompatibility with tensor-valued diffusion encoding. Presented at: ISMRM and SMRT Virtual Conference and Exhibition, 8-14 August 2020.
2019
- Slator, P. et al. 2019. Combined diffusion-relaxometry MRI to identify dysfunction in the human placenta. Magnetic Resonance in Medicine 82(1), pp. 95-106. (10.1002/mrm.27733)
- Callaghan, R., Alexander, D. C., Zhang, H. and Palombo, M. 2019. Contextual fibre growth to generate realistic axonal packing for diffusion MRI simulation. Presented at: IPMI: 26th International Conference on Information Processing in Medical Imaging, Hong Kong, China, 2-7-June 2019 Presented at Chung, A. et al. eds.Information Processing in Medical Imaging Proceedings, Vol. 11492. Lecture Notes in Computer Science Springer pp. 429-440., (10.1007/978-3-030-20351-1_33)
- Slator, P. et al. 2019. InSpect: INtegrated SPECTral component estimation and mapping for multi-contrast microstructural MRI. Presented at: IPMI 2019: International Conference on Information Processing in Medical Imaging, 2-7 June 2019 Presented at Chung, A. C. S. et al. eds.Information Processing in Medical Imaging: 26th International Conference, IPMI 2019, Hong Kong, China, June 2–7, 2019, Proceedings. Springer pp. 755-766., (10.1007/978-3-030-20351-1_59)
- Callaghan, R., Shemesh, N., Alexander, D., Zhang, H. and Palombo, M. 2019. Towards a more realistic and flexible white matter numerical phantom generator for diffusion MRI simulation. Presented at: ISMRM 27th Annual Meeting and Exhibition, 11-16 May 2019.
- Ianus, A., Callaghan, R., Alexander, D. and Palombo, M. 2019. Effect of cell complexity and size on diffusion MRI signal: a simulation study. Presented at: ISMRM 27th Annual Meeting and Exhibition, 11-16 May 2019.
- Ning, L. et al. 2019. Muti-shell diffusion MRI harmonisation and enhancement challenge (MUSHAC): Progress and results. Presented at: MICCAI 2018, Granada, Spain, 16-20 September 2018 Presented at Bonet-Carne, E. et al. eds.Computational Diffusion MRI, Vol. 1. Mathematics and Visualization Cham: Springer pp. 217-224., (10.1007/978-3-030-05831-9_18)
- Ligneu, C. et al. 2019. Diffusion-weighted magnetic resonance spectroscopy enables cell-specific monitoring of astrocyte reactivity in vivo. NeuroImage 191, pp. 457-469. (10.1016/j.neuroimage.2019.02.046)
- Slator, P. et al. 2019. Placenta Imaging Workshop 2018 report: Multiscale and multimodal approaches. Placenta 79, pp. 78-82. (10.1016/j.placenta.2018.10.010)
- Palombo, M., Alexander, D. C. and Zhang, H. 2019. A generative model of realistic brain cells with application to numerical simulation of the diffusion-weighted MR signal. NeuroImage 188, pp. 391-402. (10.1016/j.neuroimage.2018.12.025)
- Guerreri, M., Palombo, M., Caporale, A., Fasano, F., Macaluso, E., Bozzali, M. and Capuani, S. 2019. Age-related microstructural and physiological changes in normal brain measured by MRI γ-metrics derived from anomalous diffusion signal representation. NeuroImage 188, pp. 654-667. (10.1016/j.neuroimage.2018.12.044)
- Blumberg, S. B., Palombo, M., Khoo, C. S., Tax, C. M. W., Tanno, R. and Alexander, D. C. 2019. Multi-stage prediction networks for data harmonization. Presented at: Medical Image Computing and Computer Assisted Intervention – MICCAI, Shenzhen, China, 13-17 Oct 2019Medical Image Computing and Computer Assisted Intervention – MICCAI Proceedings, Vol. 11767. Lecture Notes in Computer Science Springer pp. 411-419., (10.1007/978-3-030-32251-9_45)
- Palombo, M., Nunes, D., Alexander, D. C., Zhang, H. and Shemesh, N. 2019. Histological validation of the brain cell body imaging with diffusion MRI at ultrahigh field. Presented at: ISMRM 27th Annual Meeting and Exhibition, 11-16 May 2019 Presented at Port, J. D. and Noll, D. C. eds.Proceedings of the 27th ISMRM Annual Meeting and Exhibition. ISMRM (International Society for Magnetic Resonance in Medicine).
- Palombo, M. et al. 2019. Improving strain diagnosis of prion disease by diffusion MRI and biophysical modelling. Presented at: 27th ISMRM Annual Meeting and Exhibition, 11-16 May 2019.
2018
- Palombo, M., Shemesh, N., Ronen, I. and Valette, J. 2018. Insights into brain microstructure from in vivo DW-MRS. NeuroImage 182, pp. 97-116. (10.1016/j.neuroimage.2017.11.028)
- Palombo, M., Ligneul, C., Hernandez-Garzon, E. and Valette, J. 2018. Can we detect the effect of spines and leaflets on the diffusion of brain intracellular metabolites?. NeuroImage 182, pp. 283-293. (10.1016/j.neuroimage.2017.05.003)
- Jones, D. K. et al. 2018. Microstructural imaging of the human brain with a ‘super-scanner’: 10 key advantages of ultra-strong gradients for diffusion MRI. NeuroImage 182, pp. 8-38. (10.1016/j.neuroimage.2018.05.047)
- Guerreri, M., Szczepankiewicz, F., Lampinen, B., Nilsson, M., Palombo, M., Capuani, S. and Zhang, G. H. 2018. Revised NODDI model for diffusion MRI data with multiple b-tensor encodings. Presented at: Joint Annual Meeting ISMRM-ESMRMB 2018, 16-21 June 2018.
- Palombo, M. et al. 2018. Machine learning based estimation of axonal permeability: validation on cuprizone treated in-vivo mouse model of axonal demyelination. Presented at: Joint Annual Meeting ISMRM-ESMRMB 2018, 16-21 June 2018 Presented at Miller, K. L. and Port, J. D. eds.
- Hill, I. et al. 2018. Deep neural network based framework for in-vivo axonal permeability estimation. Presented at: Joint Annual Meeting ISMRM-ESMRMB 2018, 16-21 June 2018Proceedings of the Joint Annual Meeting ISMRM-ESMRMB 2018. ISMRM (International Society for Magnetic Resonance in Medicine).
- Palombo, M., Shemesh, N., Ianus, A., Alexander, D. and Zhang, H. 2018. Abundance of cell bodies can explain the stick model’s failure in grey matter at high bvalue. Presented at: Joint Annual Meeting ISMRM-ESMRMB 2018, 16-21 June 2018.
- Sinibaldi, R. et al. 2018. Multimodal-3D imaging based on MRI and CT techniques bridges the gap with histology in visualization of the bone regeneration process. Journal of Tissue Engineering and Regenerative Medicine 12(3), pp. 750-761. (10.1002/term.2494)
- Valette, J., Ligneul, C., Marchadour, C., Najac, C. and Palombo, M. 2018. Brain metabolite diffusion from ultra-short to ultra-long time scales: What do we learn, where should we go?. Frontiers in Neuroscience 12, article number: 2. (10.3389/fnins.2018.00002)
2017
- Conti, A., Palombo, M., Parmentier, A., Poggi, G., Baglioni, P. and De Luca, F. 2017. Two-phase water model in the cellulose network of paper. Cellulose 24(8), pp. 3479-3487. (10.1007/s10570-017-1338-2)
- Ligneul, C., Palombo, M. and Valette, J. 2017. Metabolite diffusion up to very high b in the mouse brain In Vivo: Revisiting the potential correlation between relaxation and diffusion properties. Magnetic Resonance in Medicine 77(4), pp. 1390-1398. (10.1002/mrm.26217)
- Caporale, A., Palombo, M., Macaluso, E., Guerreri, M., Bozzali, M. and Capuani, S. 2017. The gamma-parameter of anomalous diffusion quantified in human brain by MRI depends on local magnetic susceptibility differences. NeuroImage 147, pp. 619-631. (10.1016/j.neuroimage.2016.12.051)
- Zhang, D., Zhu, X., Bifone, A., Gozzi, A., Capuani, S. and Palombo, M. 2017. Efficient parametric imaging with GPU computing. Biophysical Journal 112(3), pp. 583A-584A. (10.1016/j.bpj.2016.11.3141)
- Palombo, M., Ligneul, C. and Valette, J. 2017. Modeling diffusion of intracellular metabolites in the mouse brain up to very high diffusion-weighting: Diffusion in long fibers (almost) accounts for non-monoexponential attenuation. Magnetic Resonance in Medicine 77(1), pp. 343-350. (10.1002/mrm.26548)
2016
- Santi, G. D., La Greca, C., Bruno, A., Palombo, M., Bronco, I. and Palombo, P. 2016. The use of dermal regeneration template (Matriderm (R) 1 mm) for reconstruction of a large full-thickness scalp and calvaria exposure. Journal of Burn Care and Research 37(5), pp. E497-E498. (10.1097/BCR.0000000000000395)
- Palombo, M. et al. 2016. New paradigm to assess brain cell morphology by diffusion-weighted MR spectroscopy in vivo. Proceedings of the National Academy of Sciences 113(24), pp. 6671-6676. (10.1073/pnas.1504327113)
2015
- Palombo, M., Gentili, S., Bozzali, M., Macaluso, E. and Capuani, S. 2015. New insight into the contrast in diffusional kurtosis images: does it depend on magnetic susceptibility?. Magnetic Resonance in Medicine 73(5), pp. 2015-2024. (10.1002/mrm.25308)
2014
- Di Pietro, G., Palombo, M. and Capuani, S. 2014. Internal magnetic field gradients in heterogeneous porous systems: comparison between spin-echo and diffusion decay internal field (DDIF) method. Applied Magnetic Resonance 45(8), pp. 771-784. (10.1007/s00723-014-0556-0)
2013
- Palombo, M., Gabrielli, A., Servedio, V. D. P., Ruocco, G. and Capuani, S. 2013. Structural disorder and anomalous diffusion in random packing of spheres. Scientific Reports 3, article number: 2631. (10.1038/srep02631)
- GadElkarim, J. J., Magin, R. L., Meerschaert, M. M., Capuani, S., Palombo, M., Kumar, A. and Leow, A. D. 2013. Fractional order generalization of anomalous diffusion as a multidimensional extension of the transmission line equation. IEEE Journal on Emerging and Selected Topics in Circuits and Systems 3(3), pp. 432-441. (10.1109/JETCAS.2013.2265795)
- Di Pietro, G. et al. 2013. Assessment of muscle microstructures in osteoporotic and osteoarthritic subjects by using magnetic resonance diffusion tensor imaging. Presented at: European Congress on Osteoporosis and Osteoarthritis (ESCEO13-IOF), 2013, Vol. 24. Vol. Supp 1. Springer pp. S293-S293., (10.1007/s00198-013-2312-y)
- Capuani, S., Palombo, M., Gabrielli, A., Orlandi, A., Maraviglia, B. and Pastore, F. S. 2013. Spatio-temporal anomalous diffusion imaging: results in controlled phantoms and in excised human meningiomas. Magnetic Resonance Imaging 31(3), pp. 359-365. (10.1016/j.mri.2012.08.012)
2012
- Palombo, M., Gabrielli, A., De Santis, S. and Capuani, S. 2012. The γ parameter of the stretched-exponential model is influenced by internal gradients: Validation in phantoms. Journal of Magnetic Resonance 216, pp. 28-36. (10.1016/j.jmr.2011.12.023)
2011
- De Santis, S., Gabrielli, A., Palombo, M., Maraviglia, B. and Capuani, S. 2011. Non-Gaussian diffusion imaging: a brief practical review. Magnetic Resonance Imaging 29(10), pp. 1410-1416. (10.1016/j.mri.2011.04.006)
Adrannau llyfrau
- Grussu, F., Battiston, M., Palombo, M., Schneider, T., Wheeler-Kingshott, C. A. and Alexander, D. C. 2021. Deep learning model fitting for diffusion-relaxometry: a comparative study. In: Gyori, N. et al. eds. Computational Diffusion MRI. Mathematics and Visualization. Mathematics and Visualization Cham: Springer, pp. 159-172., (10.1007/978-3-030-73018-5_13)
Cynadleddau
- Valindria, V., Palombo, M., Chiou, E., Singh, S., Punwani, S. and Panagiotaki, E. 2021. Synthetic Q-Space learning with deep regression networks for prostate cancer characterisation with VERDICT. Presented at: 2021 IEEE 18th International Symposium on Biomedical Imaging, 13-16 April 20212021 IEEE 18th International Symposium on Biomedical Imaging (ISBI). IEEE, (10.1109/ISBI48211.2021.9434096)
- Pizzolato, M. et al. 2020. Acquiring and predicting multidimensional diffusion (MUDI) data: an open challenge. Presented at: MICCAI Workshop, Shenzhen, China, Oct 2019 Presented at Bonet-Carne, E. et al. eds.Computational Diffusion MRI. Mathematics and Visualization Springer pp. 195-208., (10.1007/978-3-030-52893-5_17)
- Slator, P. J. et al. 2020. Data-driven multi-contrast spectral microstructure imaging with InSpect. Presented at: MICCAI: International Conference on Medical Image Computing and Computer-Assisted Intervention, Lima, Peru, 4–8 October, 2020 Presented at Martel, A. et al. eds.Medical Image Computing and Computer Assisted Intervention – MICCAI 2020., Vol. 12266. Cham: Springer pp. 375-385., (10.1007/978-3-030-59725-2_36)
- Warner, R. W., Palombo, M., Dell'Acqua, F. and Drobnjak, I. 2020. Optimisation of Temporal Diffusion Ratio (TDR) to maximise its potential to map large axons: Insight from simulations. Presented at: ISMRM and SMRT Virtual Conference and Exhibition, 8-14 August 2020.
- Palombo, M. and Singh, S. 2020. Relaxed-VERDICT: decoupling relaxation and diffusion for comprehensive microstructure characterization of prostate cancer.. Presented at: ISMRM & SMRT Virtual Conference & Exhibition 2020, Online, 8-14 August 2020.
- Guerreri, M., Szczepankiewicz, F., Lampinen, B., Palombo, M., Nilsson, M. and Zhang, H. 2020. Tortuosity assumption not the cause of NODDI’s incompatibility with tensor-valued diffusion encoding. Presented at: ISMRM and SMRT Virtual Conference and Exhibition, 8-14 August 2020.
- Callaghan, R., Alexander, D. C., Zhang, H. and Palombo, M. 2019. Contextual fibre growth to generate realistic axonal packing for diffusion MRI simulation. Presented at: IPMI: 26th International Conference on Information Processing in Medical Imaging, Hong Kong, China, 2-7-June 2019 Presented at Chung, A. et al. eds.Information Processing in Medical Imaging Proceedings, Vol. 11492. Lecture Notes in Computer Science Springer pp. 429-440., (10.1007/978-3-030-20351-1_33)
- Slator, P. et al. 2019. InSpect: INtegrated SPECTral component estimation and mapping for multi-contrast microstructural MRI. Presented at: IPMI 2019: International Conference on Information Processing in Medical Imaging, 2-7 June 2019 Presented at Chung, A. C. S. et al. eds.Information Processing in Medical Imaging: 26th International Conference, IPMI 2019, Hong Kong, China, June 2–7, 2019, Proceedings. Springer pp. 755-766., (10.1007/978-3-030-20351-1_59)
- Callaghan, R., Shemesh, N., Alexander, D., Zhang, H. and Palombo, M. 2019. Towards a more realistic and flexible white matter numerical phantom generator for diffusion MRI simulation. Presented at: ISMRM 27th Annual Meeting and Exhibition, 11-16 May 2019.
- Ianus, A., Callaghan, R., Alexander, D. and Palombo, M. 2019. Effect of cell complexity and size on diffusion MRI signal: a simulation study. Presented at: ISMRM 27th Annual Meeting and Exhibition, 11-16 May 2019.
- Ning, L. et al. 2019. Muti-shell diffusion MRI harmonisation and enhancement challenge (MUSHAC): Progress and results. Presented at: MICCAI 2018, Granada, Spain, 16-20 September 2018 Presented at Bonet-Carne, E. et al. eds.Computational Diffusion MRI, Vol. 1. Mathematics and Visualization Cham: Springer pp. 217-224., (10.1007/978-3-030-05831-9_18)
- Blumberg, S. B., Palombo, M., Khoo, C. S., Tax, C. M. W., Tanno, R. and Alexander, D. C. 2019. Multi-stage prediction networks for data harmonization. Presented at: Medical Image Computing and Computer Assisted Intervention – MICCAI, Shenzhen, China, 13-17 Oct 2019Medical Image Computing and Computer Assisted Intervention – MICCAI Proceedings, Vol. 11767. Lecture Notes in Computer Science Springer pp. 411-419., (10.1007/978-3-030-32251-9_45)
- Palombo, M., Nunes, D., Alexander, D. C., Zhang, H. and Shemesh, N. 2019. Histological validation of the brain cell body imaging with diffusion MRI at ultrahigh field. Presented at: ISMRM 27th Annual Meeting and Exhibition, 11-16 May 2019 Presented at Port, J. D. and Noll, D. C. eds.Proceedings of the 27th ISMRM Annual Meeting and Exhibition. ISMRM (International Society for Magnetic Resonance in Medicine).
- Palombo, M. et al. 2019. Improving strain diagnosis of prion disease by diffusion MRI and biophysical modelling. Presented at: 27th ISMRM Annual Meeting and Exhibition, 11-16 May 2019.
- Guerreri, M., Szczepankiewicz, F., Lampinen, B., Nilsson, M., Palombo, M., Capuani, S. and Zhang, G. H. 2018. Revised NODDI model for diffusion MRI data with multiple b-tensor encodings. Presented at: Joint Annual Meeting ISMRM-ESMRMB 2018, 16-21 June 2018.
- Palombo, M. et al. 2018. Machine learning based estimation of axonal permeability: validation on cuprizone treated in-vivo mouse model of axonal demyelination. Presented at: Joint Annual Meeting ISMRM-ESMRMB 2018, 16-21 June 2018 Presented at Miller, K. L. and Port, J. D. eds.
- Hill, I. et al. 2018. Deep neural network based framework for in-vivo axonal permeability estimation. Presented at: Joint Annual Meeting ISMRM-ESMRMB 2018, 16-21 June 2018Proceedings of the Joint Annual Meeting ISMRM-ESMRMB 2018. ISMRM (International Society for Magnetic Resonance in Medicine).
- Palombo, M., Shemesh, N., Ianus, A., Alexander, D. and Zhang, H. 2018. Abundance of cell bodies can explain the stick model’s failure in grey matter at high bvalue. Presented at: Joint Annual Meeting ISMRM-ESMRMB 2018, 16-21 June 2018.
- Di Pietro, G. et al. 2013. Assessment of muscle microstructures in osteoporotic and osteoarthritic subjects by using magnetic resonance diffusion tensor imaging. Presented at: European Congress on Osteoporosis and Osteoarthritis (ESCEO13-IOF), 2013, Vol. 24. Vol. Supp 1. Springer pp. S293-S293., (10.1007/s00198-013-2312-y)
Erthyglau
- Voronova, A. K. et al. 2025. SpinFlowSim: A blood flow simulation framework for histology-informed diffusion MRI microvasculature mapping in cancer. Medical Image Analysis 102, article number: 103531. (10.1016/j.media.2025.103531)
- Maiuro, A., Palombo, M., Macaluso, E., Genovese, G., Bozzali, M., Giove, F. and Capuani, S. 2025. New functional MRI experiments based on fractional diffusion representation show independent and complementary contrast to diffusion-weighted and blood-oxygen-level-dependent functional MRI. Applied Sciences 15(9), article number: 4930. (10.3390/app15094930)
- Genc, S. et al. 2025. MRI signatures of cortical microstructure in human development align with oligodendrocyte cell-type expression. Nature Communications 16, article number: 3317. (10.1038/s41467-025-58604-w)
- Maiuro, A. et al. 2025. Endometrial cancer tissue features clusterization by kurtosis MRI.. Medical Physics (10.1002/mp.17718)
- Simsek, K., Gallea, C., Genovese, G., Lehéricy, S., Branzoli, F. and Palombo, M. 2025. Age-trajectories of higher-order diffusion properties of major brain metabolites in cerebral and cerebellar grey matter using in vivo diffusion-weighted MR spectroscopy at 3T. Aging Cell, article number: e14477. (10.1111/acel.14477)
- Preziosa, P. et al. 2025. Soma and neurite density abnormalities of paramagnetic rim lesions and core-sign lesions in multiple sclerosis. Journal of Neurology 272, article number: 145. (10.1007/s00415-025-12887-7)
- Jallais, M. and Palombo, M. 2024. Introducing µGUIDE for quantitative imaging via generalized uncertainty-driven inference using deep learning. eLife 13, article number: RP101069. (10.7554/elife.101069.3)
- Molendowska, M. et al. 2024. Diffusion MRI in prostate cancer with ultra-strong whole body gradients. NMR in Biomedicine (10.1002/nbm.5229)
- Langkammer, C., Vaclavu, L., Kuestner, T., Bauer, M., Salameh, N., Palombo, M. and Lopez, R. P. 2024. ESMRMB 2024 focus topic: MR beyond trends—fact-checking MR. Magnetic Resonance Materials in Physics, Biology and Medicine 37, pp. 321-322. (10.1007/s10334-024-01177-4)
- Ioakeimidis, V. et al. 2024. Protocol for a randomised controlled unblinded feasibility trial of HD-DRUM, a rhythmic movement training application for cognitive and motor symptoms in people with Huntington’s disease. BMJ Open 14(7), article number: e082161. (10.1136/bmjopen-2023-082161)
- Cipiccia, S. et al. 2024. Fast X-ray ptychography: towards nanoscale imaging of large volume of brain. European Physical Journal Plus 139(5), article number: 434. (10.1140/epjp/s13360-024-05224-w)
- Barakovic, M. et al. 2024. A novel imaging marker of cortical “cellularity” in multiple sclerosis patients. Scientific Reports 14(1), article number: 9848. (10.1038/s41598-024-60497-6)
- Preziosa, P. et al. 2024. In-vivo assessment of Cellular Soma and Neurite Density Abnormalities in Multiple Sclerosis Paramagnetic Rim and Core-sign Lesions (P11-6.006). Neurology 102(17S1), article number: P11-6.006. (10.1212/WNL.0000000000205130)
- Mougel, E., Valette, J. and Palombo, M. 2024. Investigating exchange, structural disorder and restriction in Gray Matter via water and metabolites diffusivity and kurtosis time-dependence. Imaging Neuroscience 2, pp. 1-14. (10.1162/imag_a_00123)
- Ligneul, C. et al. 2024. Diffusion‐weighted MR spectroscopy: Consensus, recommendations, and resources from acquisition to modeling. Magnetic Resonance in Medicine 91(3), pp. 860-885. (10.1002/mrm.29877)
- Uhl, Q., Pavan, T., Molendowska, M., Jones, D. K., Palombo, M. and Jelescu, I. 2024. Quantifying human gray matter microstructure using neurite exchange imaging (NEXI) and 300 mT/m gradients. Imaging Neuroscience 2, pp. 1-19. (10.1162/imag_a_00104)
- Lou, J. et al. 2024. Predicting radiologists' gaze with computational saliency models in mammogram reading. IEEE Transactions on Multimedia 26, pp. 256-269. (10.1109/TMM.2023.3263553)
- Endt, S. et al. 2023. In vivo myelin water quantification using diffusion–relaxation correlation MRI: A comparison of 1D and 2D methods. Applied Magnetic Resonance 54, pp. 1571-1588. (10.1007/s00723-023-01584-1)
- Schiavi, S. et al. 2023. Mapping tissue microstructure across the human brain on a clinical scanner with soma and neurite density image metrics. Human Brain Mapping 44(13), pp. 4792-4811. (10.1002/hbm.26416)
- Reddaway, J., Richardson, P. E., Bevan, R. J., Stoneman, J. and Palombo, M. 2023. Microglial morphometric analysis: so many options, so little consistency. Frontiers in Neuroinformatics 17, article number: 1211188. (10.3389/fninf.2023.1211188)
- Örzsik, B., Palombo, M., Asllani, I., Dijk, D., Harrison, N. A. and Cercignani, M. 2023. Higher order diffusion imaging as a putative index of human sleep-related microstructural changes and glymphatic clearance. NeuroImage 274, article number: 120124. (10.1016/j.neuroimage.2023.120124)
- Morelli, L. et al. 2023. Microstructural parameters from DW-MRI for tumour characterization and local recurrence prediction in particle therapy of skull-base chordoma. Medical Physics 50(5), pp. 2900-2913. (10.1002/mp.16202)
- Figini, M. et al. 2023. Comprehensive brain tumour characterization with VERDICT-MRI: evaluation of cellular and vascular measures validated by histology. Cancers 15(9), article number: 2490. (10.3390/cancers15092490)
- Spindler, M., Palombo, M., Zhang, H. and Thiel, C. M. 2023. Dysfunction of the hypothalamic-pituitary adrenal axis and its influence on aging: the role of the hypothalamus. Scientific Reports 13(1), article number: 6866. (10.1038/s41598-023-33922-5)
- Warner, W. et al. 2023. Temporal Diffusion Ratio (TDR) for imaging restricted diffusion: optimisation and pre-clinical demonstration. NeuroImage 269, article number: 119930. (10.1016/j.neuroimage.2023.119930)
- Palombo, M. et al. 2023. Joint estimation of relaxation and diffusion tissue parameters for prostate cancer with relaxation-VERDICT MRI. Scientific Reports 13(1), article number: 2999. (10.1038/s41598-023-30182-1)
- Margoni, M. et al. 2023. In vivo quantification of brain soma and neurite density abnormalities in multiple sclerosis. Journal of Neurology 270(1), pp. 433–445. (10.1007/s00415-022-11386-3)
- Schilling, K. G., Palombo, M., O'Grady, K. P., Combes, A. J., Anderson, A. W., Landman, B. A. and Smith, S. A. 2022. Minimal number of sampling directions for robust measures of the spherical mean diffusion weighted signal: Effects of sampling directions, b-value, signal-to-noise ratio, hardware, and fitting strategy. Magnetic Resonance Imaging 94, pp. 25-35. (10.1016/j.mri.2022.07.015)
- Lim, J. P., Blumberg, S. B., Narayan, N., Epstein, S. C., Alexander, D. C., Palombo, M. and Slator, P. J. 2022. Fitting a directional microstructure model to diffusion-relaxation mri data with self-supervised machine learning. Lecture Notes in Computer Science 13722, pp. 77-88. (10.1007/978-3-031-21206-2_7)
- Jelescu, I. O., Skowronski, A. d., Geffroy, F., Palombo, M. and Novikov, D. S. 2022. Neurite Exchange Imaging (NEXI): A minimal model of diffusion in gray matter with inter-compartment water exchange. NeuroImage 256, article number: 119277.
- Ianus, A., Carvalho, J., Fernandes, F. F., Cruz, R., Chavarrias, C., Palombo, M. and Shemesh, N. 2022. Soma and Neurite Density MRI (SANDI) of the in-vivo mouse brain and comparison with the Allen Brain Atlas. NeuroImage 254, article number: 119135. (10.1016/j.neuroimage.2022.119135)
- Gyori, N., Palombo, M., Clark, C., Zhang, H. and Alexander, D. 2022. Training data distribution significantly impacts the estimation of tissue microstructure with machine learning. Magnetic Resonance in Medicine 87(2), pp. 932-947. (10.1002/mrm.29014)
- Palombo, M., Barbetta, A., Cametti, C., Favero, G. and Capuani, S. 2022. Transient anomalous diffusion MRI measurement discriminates porous polymeric matrices characterized by different sub-microstructures and fractal dimension. Gels 8(2), article number: 95. (10.3390/gels8020095)
- Slator, P. et al. 2021. Combined diffusion-relaxometry microstructure imaging: Current status and future prospects. Magnetic Resonance in Medicine 86(6), pp. 2987-3011. (10.1002/mrm.28963)
- Kerkelaa, L. et al. 2021. Comparative analysis of signal models for microscopic fractional anisotropy estimation using q-space trajectory encoding. NeuroImage 242, article number: 118445. (10.1016/j.neuroimage.2021.118445)
- Ianus, A., Alexander, D., Zhang, H. and Palombo, M. 2021. Mapping complex cell morphology in the grey matter with double diffusion encoding MR: A simulation study. NeuroImage 241, article number: 118424. (10.1016/j.neuroimage.2021.118424)
- De Luca, A. et al. 2021. On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge. NeuroImage 240, article number: 118367. (10.1016/j.neuroimage.2021.118367)
- Afzali, M., Nilsson, M., Palombo, M. and Jones, D. K. 2021. SPHERIOUSLY? The challenges of estimating sphere radius non-invasively in the human brain from diffusion MRI. NeuroImage 237, article number: 118183. (10.1016/j.neuroimage.2021.118183)
- Slator, P. et al. 2021. Data-driven multi-contrast spectral microstructure imaging with InSpect: INtegrated SPECTral component estimation and mapping. Medical Image Analysis 71, article number: 102045. (10.1016/j.media.2021.102045)
- Genovese, G. et al. 2021. Inflammation-driven glial alterations in the cuprizone mouse model probed with diffusion-weighted magnetic resonance spectroscopy at 11.7 T. NMR in Biomedicine 34(4), article number: e4480. (10.1002/nbm.4480)
- Buizza, G. et al. 2021. Improving the characterization of meningioma microstructure in proton therapy from conventional apparent diffusion coefficient measurements using Monte Carlo simulations of diffusion MRI. Medical Physics 48(3), pp. 1250-1261. (10.1002/mp.14689)
- Palombo, M., Ianus, A., Guerreri, M., Nunes, D., Alexander, D., Shemesh, N. and Zhang, H. 2021. Corrigendum to “SANDI: A compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRI” [Neuroimage 215 (2020), 116835]. NeuroImage 226, article number: 117612. (10.1016/j.neuroimage.2020.117612)
- Henriques, R. N., Palombo, M., Jespersen, S. N., Shemesh, N., Lundell, H. and Ianuş, A. 2021. Double diffusion encoding and applications for biomedical imaging. Journal of Neuroscience Methods 348, article number: 108989. (10.1016/j.jneumeth.2020.108989)
- Hill, I. et al. 2021. Machine learning based white matter models with permeability: An experimental study in cuprizone treated in-vivo mouse model of axonal demyelination.. NeuroImage 224, article number: 117425. (10.1016/j.neuroimage.2020.117425)
- Ning, L. et al. 2020. Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: algorithms and result. NeuroImage 221, article number: 117128. (10.1016/j.neuroimage.2020.117128)
- Callaghan, R., Alexander, D. C., Palombo, M. and Zhang, H. 2020. ConFiG: Contextual Fibre Growth to generate realistic axonal packing for diffusion MRI simulation. NeuroImage 220, article number: 117107. (10.1016/j.neuroimage.2020.117107)
- Jelescu, I. O., Palombo, M., Bagnato, F. and Schilling, K. G. 2020. Challenges for biophysical modeling of microstructure. Journal of Neuroscience Methods 344, article number: 108861. (10.1016/j.jneumeth.2020.108861)
- Palombo, M., Ianus, A., Guerreri, M., Nunes, D., Alexander, D. C., Shemesh, N. and Zhang, H. 2020. SANDI: a compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRI.. NeuroImage 215, article number: 116835. (10.1016/j.neuroimage.2020.116835)
- Vincent, M., Palombo, M. and Valette, J. 2020. Revisiting double diffusion encoding MRS in the mouse brain at 11.7T: Which microstructural features are we sensitive to?. NeuroImage 207, article number: 116399. (10.1016/j.neuroimage.2019.116399)
- Capuani, S. and Palombo, M. 2020. Mini review on anomalous diffusion by MRI: Potential advantages, pitfalls, limitations, nomenclature, and correct interpretation of literature. Frontiers in Physics 7, article number: 248. (10.3389/fphy.2019.00248)
- Slator, P. et al. 2019. Combined diffusion-relaxometry MRI to identify dysfunction in the human placenta. Magnetic Resonance in Medicine 82(1), pp. 95-106. (10.1002/mrm.27733)
- Ligneu, C. et al. 2019. Diffusion-weighted magnetic resonance spectroscopy enables cell-specific monitoring of astrocyte reactivity in vivo. NeuroImage 191, pp. 457-469. (10.1016/j.neuroimage.2019.02.046)
- Slator, P. et al. 2019. Placenta Imaging Workshop 2018 report: Multiscale and multimodal approaches. Placenta 79, pp. 78-82. (10.1016/j.placenta.2018.10.010)
- Palombo, M., Alexander, D. C. and Zhang, H. 2019. A generative model of realistic brain cells with application to numerical simulation of the diffusion-weighted MR signal. NeuroImage 188, pp. 391-402. (10.1016/j.neuroimage.2018.12.025)
- Guerreri, M., Palombo, M., Caporale, A., Fasano, F., Macaluso, E., Bozzali, M. and Capuani, S. 2019. Age-related microstructural and physiological changes in normal brain measured by MRI γ-metrics derived from anomalous diffusion signal representation. NeuroImage 188, pp. 654-667. (10.1016/j.neuroimage.2018.12.044)
- Palombo, M., Shemesh, N., Ronen, I. and Valette, J. 2018. Insights into brain microstructure from in vivo DW-MRS. NeuroImage 182, pp. 97-116. (10.1016/j.neuroimage.2017.11.028)
- Palombo, M., Ligneul, C., Hernandez-Garzon, E. and Valette, J. 2018. Can we detect the effect of spines and leaflets on the diffusion of brain intracellular metabolites?. NeuroImage 182, pp. 283-293. (10.1016/j.neuroimage.2017.05.003)
- Jones, D. K. et al. 2018. Microstructural imaging of the human brain with a ‘super-scanner’: 10 key advantages of ultra-strong gradients for diffusion MRI. NeuroImage 182, pp. 8-38. (10.1016/j.neuroimage.2018.05.047)
- Sinibaldi, R. et al. 2018. Multimodal-3D imaging based on MRI and CT techniques bridges the gap with histology in visualization of the bone regeneration process. Journal of Tissue Engineering and Regenerative Medicine 12(3), pp. 750-761. (10.1002/term.2494)
- Valette, J., Ligneul, C., Marchadour, C., Najac, C. and Palombo, M. 2018. Brain metabolite diffusion from ultra-short to ultra-long time scales: What do we learn, where should we go?. Frontiers in Neuroscience 12, article number: 2. (10.3389/fnins.2018.00002)
- Conti, A., Palombo, M., Parmentier, A., Poggi, G., Baglioni, P. and De Luca, F. 2017. Two-phase water model in the cellulose network of paper. Cellulose 24(8), pp. 3479-3487. (10.1007/s10570-017-1338-2)
- Ligneul, C., Palombo, M. and Valette, J. 2017. Metabolite diffusion up to very high b in the mouse brain In Vivo: Revisiting the potential correlation between relaxation and diffusion properties. Magnetic Resonance in Medicine 77(4), pp. 1390-1398. (10.1002/mrm.26217)
- Caporale, A., Palombo, M., Macaluso, E., Guerreri, M., Bozzali, M. and Capuani, S. 2017. The gamma-parameter of anomalous diffusion quantified in human brain by MRI depends on local magnetic susceptibility differences. NeuroImage 147, pp. 619-631. (10.1016/j.neuroimage.2016.12.051)
- Zhang, D., Zhu, X., Bifone, A., Gozzi, A., Capuani, S. and Palombo, M. 2017. Efficient parametric imaging with GPU computing. Biophysical Journal 112(3), pp. 583A-584A. (10.1016/j.bpj.2016.11.3141)
- Palombo, M., Ligneul, C. and Valette, J. 2017. Modeling diffusion of intracellular metabolites in the mouse brain up to very high diffusion-weighting: Diffusion in long fibers (almost) accounts for non-monoexponential attenuation. Magnetic Resonance in Medicine 77(1), pp. 343-350. (10.1002/mrm.26548)
- Santi, G. D., La Greca, C., Bruno, A., Palombo, M., Bronco, I. and Palombo, P. 2016. The use of dermal regeneration template (Matriderm (R) 1 mm) for reconstruction of a large full-thickness scalp and calvaria exposure. Journal of Burn Care and Research 37(5), pp. E497-E498. (10.1097/BCR.0000000000000395)
- Palombo, M. et al. 2016. New paradigm to assess brain cell morphology by diffusion-weighted MR spectroscopy in vivo. Proceedings of the National Academy of Sciences 113(24), pp. 6671-6676. (10.1073/pnas.1504327113)
- Palombo, M., Gentili, S., Bozzali, M., Macaluso, E. and Capuani, S. 2015. New insight into the contrast in diffusional kurtosis images: does it depend on magnetic susceptibility?. Magnetic Resonance in Medicine 73(5), pp. 2015-2024. (10.1002/mrm.25308)
- Di Pietro, G., Palombo, M. and Capuani, S. 2014. Internal magnetic field gradients in heterogeneous porous systems: comparison between spin-echo and diffusion decay internal field (DDIF) method. Applied Magnetic Resonance 45(8), pp. 771-784. (10.1007/s00723-014-0556-0)
- Palombo, M., Gabrielli, A., Servedio, V. D. P., Ruocco, G. and Capuani, S. 2013. Structural disorder and anomalous diffusion in random packing of spheres. Scientific Reports 3, article number: 2631. (10.1038/srep02631)
- GadElkarim, J. J., Magin, R. L., Meerschaert, M. M., Capuani, S., Palombo, M., Kumar, A. and Leow, A. D. 2013. Fractional order generalization of anomalous diffusion as a multidimensional extension of the transmission line equation. IEEE Journal on Emerging and Selected Topics in Circuits and Systems 3(3), pp. 432-441. (10.1109/JETCAS.2013.2265795)
- Capuani, S., Palombo, M., Gabrielli, A., Orlandi, A., Maraviglia, B. and Pastore, F. S. 2013. Spatio-temporal anomalous diffusion imaging: results in controlled phantoms and in excised human meningiomas. Magnetic Resonance Imaging 31(3), pp. 359-365. (10.1016/j.mri.2012.08.012)
- Palombo, M., Gabrielli, A., De Santis, S. and Capuani, S. 2012. The γ parameter of the stretched-exponential model is influenced by internal gradients: Validation in phantoms. Journal of Magnetic Resonance 216, pp. 28-36. (10.1016/j.jmr.2011.12.023)
- De Santis, S., Gabrielli, A., Palombo, M., Maraviglia, B. and Capuani, S. 2011. Non-Gaussian diffusion imaging: a brief practical review. Magnetic Resonance Imaging 29(10), pp. 1410-1416. (10.1016/j.mri.2011.04.006)
Gwefannau
- Ioakeimidis, V. et al. 2023. Protocol for a randomised controlled feasibility trial of HD-DRUM, a rhythmic movement training application for cognitive and motor symptoms in people with Huntington's disease. [Online]. medRxiv: medRxiv. (10.1101/2023.11.15.23298581) Available at: https://doi.org/10.1101/2023.11.15.23298581
- Palombo, M. et al. 2021. Joint estimation of relaxation and diffusion tissue parameters for prostate cancer grading with relaxation-VERDICT MRI. [Online]. medRxiv: Cold Spring Harbor Laboratory. (10.1101/2021.06.24.21259440) Available at: https://doi.org/10.1101/2021.06.24.21259440
- Perot, J., Celestine, M., Palombo, M., Dhenain, M., Humbert, S., Brouillet, E. and Flament, J. 2021. Identification of the key role of white matter alteration in the pathogenesis of Huntington’s Disease. [Online]. bioRxiv: Cold Spring Harbor Laboratory. (10.1101/2021.06.21.449242) Available at: https://doi.org/10.1101/2021.06.21.449242
- Callaghan, R., Alexander, D., Palombo, M. and Zhang, H. 2021. Impact of within-voxel heterogeneity in fibre geometry on spherical deconvolution. [Online]. arXiv: Cornell University. (10.48550/arXiv.2103.08237) Available at: https://doi.org/10.48550/arXiv.2103.08237
- Martins, J. P. d. A., Nilsson, M., Lampinen, B., Palombo, M., While, P. T., Westin, C. and Szczepankiewicz, F. 2021. Neural networks for parameter estimation in microstructural MRI: a study with a high-dimensional diffusion-relaxation model of white matter microstructure. [Online]. bioRxiv: Cold Spring Harbor Laboratory. (10.1101/2021.03.12.435163) Available at: https://doi.org/10.1101/2021.03.12.435163
Ymchwil
Fi yw Pennaeth Microstructure Imaging ac rwy'n arwain y rhaglen ymchwil Microstructure Imaging yn CUBRIC. Mae fy nhîm amlddisgyblaethol yn rhan o'r MicroTeam ehangach yn CUBRIC a'r grŵp Cyfrifiadura Delwedd Feddygol yn yr Ysgol Cyfrifiadureg a Gwybodeg ac mae'n cynnwys myfyrwyr ac ymchwilwyr arbenigol mewn Ffiseg, Cyfrifiadureg, Niwrowyddoniaeth a Seicoleg.
Mae ein hymchwil yn canolbwyntio ar fapio microstrwythur datblygedig gan ddefnyddio technegau delweddu cyseiniant magnetig anfewnwthiol (gweler y tab Trosolwg am ragor o fanylion).
Aelodau'r Tîm:
Athrawon Cynorthwyol:
- Paddy Slator, PhD - Darlithydd mewn Cyfrifiadureg - slatorp@cardiff.ac.uk
- Stefano Zappala, PhD - Darlithydd mewn Cyfrifiadureg - zappalas@cardiff.ac.uk
Cysylltiadau Ymchwil Ôl-ddoethurol:
- Maëliss Jallais, PhD - Cyswllt Ymchwil - jallaism@cardiff.ac.uk
- Kadir Simsek, PhD - Cyswllt Ymchwil - simsekk@cardiff.ac.uk
Cymrodyr Clinigol:
- Jennifer Golten, MD - Cymrawd Clinigol er Anrhydedd - jenny.golten@wales.nhs.uk
Myfyrwyr PhD:
- Charlie Aird-Rossiter - myfyriwr PhD - aird-rossiterc@cardiff.ac.uk
- Jiří Benáček - myfyriwr PhD - benacek@cardiff.ac.uk
- Elise Gwyther- myfyriwr PhD - gwythere@cardiff.ac.uk
- Lewis Kitchingman - myfyriwr PhD - kitchingmanl@cardiff.ac.uk
- Solanki Mitra - myfyriwr PhD - mitras1@cardiff.ac.uk
- Adam Threlfall - myfyriwr PhD - threlfallas@cardiff.ac.uk
- Michael Law - myfyriwr PhD - lawml@cardiff.ac.uk
Interniaid a myfyrwyr Meistr:
- Ioanna Deroukaki - Intern - deroukakii@cardiff.ac.uk
- Medha Raketla - Intern - raketlam@cardiff.ac.uk
- Rutu Shah - Intern - shahr48@cardiff.ac.uk
Ymweld â myfyrwyr a gwyddonwyr
- (2024 - 3 mis) Manon Desenne - tra'n fyfyriwr meistr yn Aix-Marseille Université (Ffrainc)
- (2024 - 3 mis) Ana Aquino Servin - tra bod myfyriwr PhD yn FIDMAG yn Barcelona (Sbaen)
- (2024 - 6 mis) Eleonora Lupi - tra bod myfyriwr PhD ym Mhrifysgol Pavia (yr Eidal)
- (2023 - 3 mis) Qianqian Yang - tra'n Athro Cynorthwyol ym Mhrifysgol Technoleg Queensland, QUT (Awstralia)
- (2023 - 6 mis) Alessandra Maiuro - tra bod myfyriwr PhD ym Mhrifysgol Sapienza (yr Eidal)
- (2022 - 1 mis) Erick Canales Rodrigues - tra'n Uwch Gymrawd Ymchwil yn yr Ecole Polythecnique Federale de Lausanne, EPFL (Y Swistir)
- (2022 - 1.5 mis) Bradley Karat, tra myfyriwr PhD ym Mhrifysgol Gorllewin Ontario, (Canada)
- (2022 - 1.5 mis) Lydia Chougar - tra bod myfyriwr PhD yn Sefydliad yr Ymennydd ac Asgwrn Cefn, ICM (Ffrainc)
Aelodau blaenorol
- (2022 - 2024) Eirini Messaritaki, PhD - Uwch Bartner Ymchwil - messaritakie2@cardiff.ac.uk
Cyllid
Cefnogir ein hymchwil gan amrywiaeth o gyrff cyllido a phartneriaid diwydiannol:
UK Research and Innovation
- 2025-2028: Cymrodoriaeth Arweinwyr y Dyfodol UKRI Adnewyddu: MR/T020296/2, (Prif Ymchwilydd Palombo), ~ £700k
- 2022-2025: MR/W031566/1, (Cyd-Brif Ymchwilydd Palombo), ~ £1m
- 2020-2025: Cymrodoriaeth Arweinwyr y Dyfodol UKRI: MR/T020296/1 a 2, (Prif Ymchwilydd Palombo), ~ £1.3m
- 2022-2024: UKRI BBSRC: BB/X005089/1, (Prif Ymchwilydd Palombo), ~ £22k
- 2022-2027: YSGOLORIAETHAU DTP UKRI EPSRC (Lewis Kitchingman a Jiří Benáček), ~ £130k
Ymchwil Canser Cymru ac Ymddiriedolaeth GIG Prifysgol Felindre:
- Astudiaeth MIMOSA 2024-2027 (Cyd-Ymgeisydd Arweiniol Palombo), ~ £ 350k
Partneriaethau Strategol gyda Diwydiant
- GlaxoSmithKline Plc (GSK) - Ysgoloriaeth PhD (Elise Gwyther)
- F. Hoffmann-La Roche Ltd (Roche) - prosiect ymchwil DEPICT (2024-2027)
Cyngor Ymchwil Awstralia (ARC)
- Prosiect Darganfod 2025-2028 "Modelau mathemategol newydd ar gyfer delweddu microstrwythur meinwe yr ymennydd" (Cyd-Brif Ymchwilydd Palombo), ~ £300k
Bywgraffiad
Addysg
- 2014: PhD mewn Bioffiseg. Prifysgol Rhufain Sapienza, Rhufain, yr Eidal. Trylediad anomalaidd i archwilio microstrwythur yr ymennydd trwy baramedrau NMR newydd: o fodelu damcaniaethol i NMR mewn arbrofion vivo.
- 2010: MSc mewn Ffiseg Prifysgol Rhufain Sapienza, Rhufain, yr Eidal
- 2007: BSc mewn Ffiseg Prifysgol Rhufain Sapienza, Rhufain, yr Eidal
Cyflogaeth
- 2021 – presennol: Uwch Ddarlithydd ar y cyd 50:50 Ysgol Seicoleg a'r Ysgol Cyfrifiadureg a Gwybodeg. Prifysgol Caerdydd, Caerdydd, y DU.
- 2018 – 2021: Uwch Gydymaith Ymchwil. Coleg Prifysgol Llundain, Llundain, y DU.
- 2016 – 2018: Cyswllt Ymchwil. Coleg Prifysgol Llundain, Llundain, y DU.
- 2014 – 2016: Cyswllt Ymchwil. Comisiwn Ynni Atomig ac Egni Amgen (CEA), Fontenay-aux-Roses, Ffrainc.
Ymgysylltu Cenedlaethol a Rhyngwladol
- Aelod o Bwyllgor Rhaglen Cyfarfod Blynyddol ISMRM (2023 - 2026);
- Cyfarwyddwr y Cwrs a Threfnydd Darlithoedd ESMRMB ar MR 2023: 'CYFLWYNIAD I DDARLUNIO A SBECTROSGOPEG MR WEDI'I BWYSOLI Â GWASGARIAD';
- Trefnydd Ysgol Haf Cyfrifiadura Delwedd Feddygol UCL (MedICSS) 2021;
- Trefnydd Gweithdy Lorentz ar "Arferion Gorau ac Offer ar gyfer Diffusion MR Spectroscopy", wedi'i drefnu ar gyfer Medi 2021;
- Trefnydd yr hacathhon: "micro2macro BrainHack 2020";
- Trefnydd digwyddiad lloeren MICCAI "Gweithdy MRI Diffusion Cyfrifiadol" yn 2019 a 2020;
- Trefnydd Her MICCAI "MUDI" yn 2019 a "Super-MUDI" yn 2020;
- Trefnydd Symposiwm Cychwynodd Aelod ISMRM yn 2019;
- Darlithoedd addysgol yn ISMRM 2019, 2020 a 2021.
·
Anrhydeddau a dyfarniadau
11/2019 | 2019 ISMRM Outstanding Teacher Award |
05/2019 | 3rd place at the EPSRC’s Science Photography Competition 2019, in the Weird & Wonderful category. |
05/2019 | Magna Cum Laude Merit Award at International Society for Magnetic Resonance in Medicine (ISMRM) annual meeting. |
11/2018 | Best research image at the UCL Institute of Healthcare Engineering Autumn Research Symposium |
06/2018 | Finalist at the public engagement competition during the the International Society for Magnetic Resonance in Medicine (ISMRM) annual meeting |
04/2018 | Certificates of Outstanding Contribution in Reviewing by Neuroimage, Elsevier. |
01/2018 | UCL representative at the Global Young Scientists Summit (GYSS), Singapore |
06/2017 | Magna Cum Laude Merit Award at International Society for Magnetic Resonance in Medicine (ISMRM) annual meeting. |
05/2016 | Best work at the Diffusion Study Group at the International Society for Magnetic Resonance in Medicine (ISMRM) annual meeting |
04/2016 | Certificates of Outstanding Contribution in Reviewing by Journal of Magnetic Resonance Imaging, Wiley. |
2011 – 2014 | Educational Stipend awarded by the International Society for Magnetic Resonance in Medicine (ISMRM) |
Pwyllgorau ac adolygu
Adolygydd cymheiriaid ar gyfer cynlluniau grant yn genedlaethol ac yn rhyngwladol:
- Asiantaeth Weithredol Ymchwil Ewropeaidd (REA)
- Cynllun Cymrodoriaeth Arweinwyr y Dyfodol UKRI
- Iechyd Personol a Thechnolegau Cysylltiedig (PHRT) maes ffocws strategol y Parth ETH
- Sefydliad Ymchwil Canser y Swistir & Cynghrair Canser y Swistir
- Asiantaeth Ymchwil Genedlaethol Ffrainc (ANR)
- Deutsche Forschungsgemeinschaft (Sefydliad Ymchwil Almaeneg)
adolygydd rheolaidd ar gyfer cyfnodolion sy'n canolbwyntio ar ymchwil:
- Natur
- Cell sy'n heneiddio
- NeuroImage
- Cyseiniant Magnetig mewn Meddygaeth
- Journal of Magnetic Resonance
- Journal of Magnetic Resonance Imaging
- Delweddu Cyseiniant Magnetig
- Niwrobioleg heneiddio
- Ffiniau mewn Ffiseg
Meysydd goruchwyliaeth
Aelodau'r Tîm:
Athrawon Cynorthwyol:
- Paddy Slator, PhD - Darlithydd mewn Cyfrifiadureg - slatorp@cardiff.ac.uk
- Stefano Zappala, PhD - Darlithydd mewn Cyfrifiadureg - zappalas@cardiff.ac.uk - (Rheolwr Llinell Palombo)
Cysylltiadau Ymchwil Ôl-ddoethurol:
- Maëliss Jallais, PhD - Cyswllt Ymchwil - jallaism@cardiff.ac.uk - (Rheolwr Llinell Palombo)
- Kadir Simsek, PhD - Cyswllt Ymchwil - simsekk@cardiff.ac.uk - (Rheolwr Llinell Palombo)
Cymrodyr Clinigol:
- Jennifer Golten, MD - Cymrawd Clinigol er Anrhydedd - jenny.golten@wales.nhs.uk - (Rheolwr Llinell Palombo)
Myfyrwyr PhD:
- Charlie Aird-Rossiter - myfyriwr PhD - aird-rossiterc@cardiff.ac.uk - (Prif Oruchwyliwr Palombo)
- Jiří Benáček - myfyriwr PhD - benacek@cardiff.ac.uk - (Goruchwyliwr Cynradd Palombo)
- Elise Gwyther- myfyriwr PhD - gwythere@cardiff.ac.uk - (Prif Oruchwyliwr Palombo)
- Lewis Kitchingman - myfyriwr PhD - kitchingmanl@cardiff.ac.uk - (Goruchwyliwr Cynradd Palombo)
- Solanki Mitra - myfyriwr PhD - mitras1@cardiff.ac.uk - (Goruchwyliwr Uwchradd Palombo)
- Adam Threlfall - myfyriwr PhD - threlfallas@cardiff.ac.uk - (Prif Oruchwyliwr Palombo)
- Michael Law - myfyriwr PhD - lawml@cardiff.ac.uk - (Prif Oruchwyliwr Palombo)
Interniaid a myfyrwyr Meistr:
- Ioanna Deroukaki - Intern - deroukakii@cardiff.ac.uk - (Prif Oruchwyliwr Palombo)
- Medha Raketla - Intern - raketlam@cardiff.ac.uk - (Prif Oruchwyliwr Palombo)
- Rutu Shah - Intern - shahr48@cardiff.ac.uk - (Prif Oruchwyliwr Palombo)
Ymweld â myfyrwyr a gwyddonwyr
- (2024 - 3 mis) Manon Desenne - tra'n fyfyriwr meistr yn Aix-Marseille Université (Ffrainc)
- (2024 - 3 mis) Ana Aquino Servin - tra bod myfyriwr PhD yn FIDMAG yn Barcelona (Sbaen)
- (2024 - 6 mis) Eleonora Lupi - tra bod myfyriwr PhD ym Mhrifysgol Pavia (yr Eidal)
- (2023 - 3 mis) Qianqian Yang - tra'n Athro Cynorthwyol ym Mhrifysgol Technoleg Queensland, QUT (Awstralia)
- (2023 - 6 mis) Alessandra Maiuro - tra bod myfyriwr PhD ym Mhrifysgol Sapienza (yr Eidal)
- (2022 - 1 mis) Erick Canales Rodrigues - tra'n Uwch Gymrawd Ymchwil yn yr Ecole Polythecnique Federale de Lausanne, EPFL (Y Swistir)
- (2022 - 1.5 mis) Bradley Karat, tra myfyriwr PhD ym Mhrifysgol Gorllewin Ontario, (Canada)
- (2022 - 1.5 mis) Lydia Chougar - tra bod myfyriwr PhD yn Sefydliad yr Ymennydd ac Asgwrn Cefn, ICM (Ffrainc)
Aelodau blaenorol
- (2022 - 2024) Eirini Messaritaki, PhD - Uwch Bartner Ymchwil - messaritakie2@cardiff.ac.uk
Goruchwyliaeth gyfredol
Contact Details
+44 29208 70358
Canolfan Ymchwil Delweddu'r Ymennydd Prifysgol Caerdydd, Ystafell 1.003, Heol Maendy, Caerdydd, CF24 4HQ
Themâu ymchwil
Arbenigeddau
- Prosesu delweddau
- Dyfeisiau meddygol
- delweddu meddygol a sbectrosgopeg
- Cyfrifiadura cymhwysol
- .AI