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Online Research @ Cardiff

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Number of items: 86.

Ligneul, Clémence, Najac, Chloé, Döring, André, Beaulieu, Christian, Branzoli, Francesca, Clarke, William T., Cudalbu, Cristina, Genovese, Guglielmo, Jbabdi, Saad, Jelescu, Ileana, Karampinos, Dimitrios, Kreis, Roland, Lundell, Henrik, Marjańska, Małgorzata, Möller, Harald E., Mosso, Jessie, Mougel, Eloïse, Posse, Stefan, Ruschke, Stefan, Simsek, Kadir, Szczepankiewicz, Filip, Tal, Assaf, Tax, Chantal

, Oeltzschner, Georg, Palombo, Marco

, Ronen, Itamar and Valette, Julien 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

Mougel, Eloïse, Valette, Julien and Palombo, Marco

2024. Investigating exchange, structural disorder and restriction in Gray Matter via water and metabolites diffusivity and kurtosis time-dependence. Imaging Neuroscience 10.1162/imag_a_00123

Lou, Jianxun, Lin, Hanhe, Young, Philippa, White, Richard, Yang, Zelei, Shelmerdine, Susan, Marshall, David

, Spezi, Emiliano

, Palombo, Marco

and Liu, Hantao

2024. Predicting radiologists' gaze with computational saliency models in mammogram reading. IEEE Transactions on Multimedia 26 , pp. 256-269. 10.1109/TMM.2023.3263553

Uhl, Quentin, Pavan, Tommaso, Molendowska, Malwina, Jones, Derek K.

, Palombo, Marco

and Jelescu, Ileana 2024. Quantifying human gray matter microstructure using Neurite Exchange Imaging (NEXI) and 300 mT/m gradients. Imaging Neuroscience

Endt, Sebastian, Engel, Maria, Naldi, Emanuele, Assereto, Rodolfo, Molendowska, Malwina, Mueller, Lars, Mayrink Verdun, Claudio, Pirkl, Carolin M., Palombo, Marco

, Jones, Derek K.

and Menzel, Marion I. 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, Vasileios, Busse, Monica

, Schubert, Robin and Metzler-Baddeley, Claudia

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. Available at: https://doi.org/10.1101/2023.11.15.23298581

Schiavi, Simona, Palombo, Marco

, Zacà, Domenico, Tazza, Francesco, Lapucci, Caterina, Castellan, Lucio, Costagli, Mauro and Inglese, Matilde 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, Jack, Richardson, Peter Eulalio, Bevan, Ryan J.

, Stoneman, Jessica and Palombo, Marco

2023. Microglial morphometric analysis: so many options, so little consistency. Frontiers in Neuroinformatics 17 , 1211188. 10.3389/fninf.2023.1211188

Örzsik, Balázs, Palombo, Marco

, Asllani, Iris, Dijk, Derk-Jan, Harrison, Neil A.

and Cercignani, Mara

2023. Higher order diffusion imaging as a putative index of human sleep-related microstructural changes and glymphatic clearance. NeuroImage 274 , 120124. 10.1016/j.neuroimage.2023.120124

Morelli, Letizia, Palombo, Marco

, Buizza, Giulia, Riva, Giulia, Pella, Andrea, Fontana, Giulia, Imparato, Sara, Iannalfi, Alberto, Orlandi, Ester, Paganelli, Chiara and Baroni, Guido 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, Matteo, Castellano, Antonella, Bailo, Michele, Callea, Marcella, Cadioli, Marcello, Bouyagoub, Samira, Palombo, Marco

, Pieri, Valentina, Mortini, Pietro, Falini, Andrea, Alexander, Daniel, Cercignani, Mara

and Panagiotaki, Eleftheria 2023. Comprehensive brain tumour characterization with VERDICT-MRI: evaluation of cellular and vascular measures validated by histology. Cancers 15 (9) , 2490. 10.3390/cancers15092490

Spindler, Melanie, Palombo, Marco

, Zhang, Hui and Thiel, Christiane M. 2023. Dysfunction of the hypothalamic-pituitary adrenal axis and its influence on aging: the role of the hypothalamus. Scientific Reports 13 (1) , 6866. 10.1038/s41598-023-33922-5

Warner, William, Palombo, Marco

, Cruz, Renata, Callaghan, Ross, Shemesh, Noam, Jones, Derek K.

, Dell'Acqua, Flavio, Ianus, Andrada and Drobnjak, Ivana 2023. Temporal Diffusion Ratio (TDR) for imaging restricted diffusion: optimisation and pre-clinical demonstration. NeuroImage 269 , 119930. 10.1016/j.neuroimage.2023.119930

Palombo, Marco

, Valindria, Vanya, Singh, Saurabh, Chiou, Eleni, Giganti, Francesco, Pye, Hayley, Whitaker, Hayley C., Atkinson, David, Punwani, Shonit, Alexander, Daniel C. and Panagiotaki, Eleftheria 2023. Joint estimation of relaxation and diffusion tissue parameters for prostate cancer with relaxation-VERDICT MRI. Scientific Reports 13 (1) , 2999. 10.1038/s41598-023-30182-1

Margoni, Monica, Pagani, Elisabetta, Preziosa, Paolo, Palombo, Marco

, Gueye, Mor, Azzimonti, Matteo, Filippi, Massimo and Rocca, Maria Assunta 2023. In vivo quantification of brain soma and neurite density abnormalities in multiple sclerosis. Journal of Neurology 270 (1) , 433–445. 10.1007/s00415-022-11386-3

Schilling, Kurt G., Palombo, Marco

, O'Grady, Kristin P., Combes, Anna J.E., Anderson, Adam W., Landman, Bennett A. and Smith, Seth 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, Jason P., Blumberg, Stefano B., Narayan, Neil, Epstein, Sean C., Alexander, Daniel C., Palombo, Marco

and Slator, Paddy 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, Illeana O., Skowronski, Alexandre de, Geffroy, Francoise, Palombo, Marco

and Novikov, Dmitry S. 2022. Neurite Exchange Imaging (NEXI): A minimal model of diffusion in gray matter with inter-compartment water exchange. NeuroImage 256 , 119277.

Ianus, Andrada, Carvalho, Joana, Fernandes, Francisca F., Cruz, Renata, Chavarrias, Cristina, Palombo, Marco

and Shemesh, Noam 2022. Soma and Neurite Density MRI (SANDI) of the in-vivo mouse brain and comparison with the Allen Brain Atlas. NeuroImage 254 , 119135. 10.1016/j.neuroimage.2022.119135

Palombo, Marco

, Barbetta, Andrea, Cametti, Cesare, Favero, Gabriele and Capuani, Silvia 2022. Transient anomalous diffusion MRI measurement discriminates porous polymeric matrices characterized by different sub-microstructures and fractal dimension. Gels 8 (2) , 95. 10.3390/gels8020095

Gyori, N.G., Palombo, M.

, Clark, C.A., Zhang, H. and Alexander, D.C. 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

Slator, P.

, Palombo, M.

, Miller, K.L., Westin, C-F., Laun, F., Kim, D., Haldar, J.P., Benjamini, D., Lemberskiy, G., de Almeida Martins, J.P. and Hutter, J. 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., Nery, F., Callaghan, R., Zhou, F., Gyori, N.G., Szczepankiewicz, F., Palombo, M.

, Parker, G.J.M., Zhang, H., Hall, M.G. and Clark, C.A. 2021. Comparative analysis of signal models for microscopic fractional anisotropy estimation using q-space trajectory encoding. NeuroImage 242 , 118445. 10.1016/j.neuroimage.2021.118445

Ianus, A., Alexander, D.C., Zhang, H. and Palombo, M.

2021. Mapping complex cell morphology in the grey matter with double diffusion encoding MR: A simulation study. NeuroImage 241 , 118424. 10.1016/j.neuroimage.2021.118424

De Luca, Alberto, Ianus, Andrada, Leemans, Alexander, Palombo, Marco

, Shemesh, Noam, Zhang, Hui, Alexander, Daniel C., Nilsson, Markus, Froeling, Martijn, Biessels, Geert-Jan, Zucchelli, Mauro, Frigo, Matteo, Albay, Enes, Sedlar, Sara, Alimi, Abib, Deslauriers- Gauthier, Samuel, Deriche, Rachid, Fick, Rutger, Afzali, Maryam, Pieciak, Tomasz, Bogusz, Fabian, Aja-Fernández, Santiago, Özarslan, Evren, Jones, Derek K.

, Chen, Haoze, Jin, Mingwu, Zhang, Zhijie, Wang, Fengxiang, Nath, Vishwesh, Parvathaneni, Prasanna, Morez, Jan, Sijbers, Jan, Jeurissen, Ben, Fadnavis, Shreyas, Endres, Stefan, Rokem, Ariel, Garyfallidis, Eleftherios, Sanchez, Irina, Prchkovska, Vesna, Rodrigues, Paulo, Landman, Bennet A. and Schilling, Kurt G. 2021. On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge. NeuroImage 240 , 118367. 10.1016/j.neuroimage.2021.118367

Grussu, Francesco, Battiston, Marco, Palombo, Marco

, Schneider, Torben, Wheeler-Kingshott, Claudia A.M.G. and Alexander, Daniel C. 2021. Deep learning model fitting for diffusion-relaxometry: a comparative study. Gyori, N., Hutter, J., Nath, V., Palombo, M., Pizzolato, M. and Zhang, F., eds. Computational Diffusion MRI. Mathematics and Visualization, Mathematics and Visualization, Cham: Springer, pp. 159-172. (10.1007/978-3-030-73018-5_13)

Afzali, Maryam, Nilsson, Markus, Palombo, Marco

and Jones, Derek K

2021. SPHERIOUSLY? The challenges of estimating sphere radius non-invasively in the human brain from diffusion MRI. NeuroImage 237 , 118183. 10.1016/j.neuroimage.2021.118183

Slator, P.J.

, Hutter, J., Marinescu, R.V., Palombo, M.

, Jackson, L., Ho, A., Chappell, L.C., Rutherford, M., Hajnal, J.V. and Alexander, D.C. 2021. Data-driven multi-contrast spectral microstructure imaging with InSpect: INtegrated SPECTral component estimation and mapping. Medical Image Analysis 71 , 102045. 10.1016/j.media.2021.102045

Palombo, Marco

, Valindria, Vanya, Singh, Saurabh, Chiou, Eleni, Giganti, Francesco, Pye, Hayley, Whitaker, Hayley C., Atkinson, David, Punwani, Shonit, Alexander, Daniel C. and Panagiotaki, Eleftheria 2021. Joint estimation of relaxation and diffusion tissue parameters for prostate cancer grading with relaxation-VERDICT MRI. [Online]. medRxiv: Cold Spring Harbor Laboratory. Available at: https://doi.org/10.1101/2021.06.24.21259440

Perot, Jean-Baptiste, Celestine, Marina, Palombo, Marco

, Dhenain, Marc, Humbert, Sandrine, Brouillet, Emmanuel and Flament, Julien 2021. Identification of the key role of white matter alteration in the pathogenesis of Huntington’s Disease. [Online]. bioRxiv: Cold Spring Harbor Laboratory. 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 2021. 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI). 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI). IEEE, 10.1109/ISBI48211.2021.9434096

Genovese, G., Palombo, M.

, Santin, M.D., Valette, J., Ligneul, C., Aigrot, M-S., Abdoulkader, N., Langui, D., Millecamps, A., Baron-Van Evercooren, A., Stankoff, B., Lehericy, S., Petiet, A. and Branzoli, F. 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) , e4480. 10.1002/nbm.4480

Buizza, G., Paganelli, C., Ballati, F., Sacco, S., Preda, L., Iannalfi, A., Alexander, D.C., Baroni, G. and Palombo, M.

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. Available at: https://doi.org/10.48550/arXiv.2103.08237

Martins, Joao Pedro de Almeida, Nilsson, Markus, Lampinen, Bjorn, Palombo, Marco

, While, Peter T., Westin, Carl-Fredrik and Szczepankiewicz, Filip 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. Available at: https://doi.org/10.1101/2021.03.12.435163

Palombo, M.

, Ianus, A., Guerreri, M., Nunes, D., Alexander, D.C., 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 , 117612. 10.1016/j.neuroimage.2020.117612

Henriques, Rafael N., Palombo, Marco

, Jespersen, Sune N., Shemesh, Noam, Lundell, Henrik and Ianuş, Andrada 2021. Double diffusion encoding and applications for biomedical imaging. Journal of Neuroscience Methods 348 , 108989. 10.1016/j.jneumeth.2020.108989

Hill, I., Palombo, M.

, Santin, M., Branzoli, F., Philippe, A-C., Wassermann, D., Aigrot, M-S., Stankoff, B., Baron-Van Evercooren, A., Felfi, M., Langui, D., Zhang, H., Lehericy, S., Petiet, A., Alexander, D.C., Ciccarelli, O. and Drobnjak, I. 2021. Machine learning based white matter models with permeability: An experimental study in cuprizone treated in-vivo mouse model of axonal demyelination. NeuroImage 224 , 117425. 10.1016/j.neuroimage.2020.117425

Ning, Lipeng, Bonet-Carne, Elisenda, Grussu, Francesco, Sepehrband, Farshid, Kaden, Enrico, Veraart, Jelle, Blumberg, Stefano B., Khoo, Can Son, Palombo, Marco

, Kokkinos, Iasonas, Alexander, Daniel C., Coll-Font, Jaume, Scherrer, Benoit, Warfield, Simon K., Karayumak, Suheyla Cetin, Rathi, Yogesh, Koppers, Simon, Weninger, Leon, Ebert, Julia, Merhof, Dorit, Moyer, Daniel, Pietsch, Maximilian, Christiaens, Daan, Gomes Teixeira, Rui Azeredo, Tournier, Jacques-Donald, Schilling, Kurt G., Huo, Yuankai, Nath, Vishwesh, Hansen, Colin, Blaber, Justin, Landman, Bennett A., Zhylka, Andrey, Pluim, Josien P.W., Parker, Greg, Rudrapatna, Umesh, Evans, John, Charron, Cyril, Jones, Derek K.

and Tax, Chantal M. W.

2020. Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: algorithms and result. NeuroImage 221 , 117128. 10.1016/j.neuroimage.2020.117128

Pizzolato, Marco, Palombo, Marco

, Bonet-Carne, Elisenda, Tax, Chantal M. W.

, Grussu, Francesco, Ianus, Andrada, Bogusz, Fabian, Pieciak, Tomasz, Ning, Lipeng, Larochelle, Hugo, Descoteaux, Maxime, Chamberland, Maxime

, Blumberg, Stefano B., Mertzanidou, Thomy, Alexander, Daniel C., Afzali, Maryam, Aja-Fernández, Santiago, Jones, Derek K.

, Westin, Carl-Fredrik, Rathi, Yogesh, Baete, Steven H., Cordero-Grande, Lucilio, Ladner, Thilo, Slator, Paddy J.

, Hajnal, Joseph V, Thiran, Jean-Philippe, Price, Anthony N., Sepehrband, Farshid, Zhang, Fan and Hutter, Jana 2020. Acquiring and predicting multidimensional diffusion (MUDI) data: an open challenge. Presented at: MICCAI Workshop, Shenzhen, China, Oct 2019. Published in: Bonet-Carne, Elisenda, Hutter, Jana, Palombo, Marco, Pizzolato, Marco, Sepehrband, Farshid and Zhang, Fan eds. Computational Diffusion MRI. Mathematics and Visualization. Mathematics and Visualization Springer, pp. 195-208. 10.1007/978-3-030-52893-5_17

Callaghan, Ross, Alexander, Daniel C., Palombo, Marco

and Zhang, Hui 2020. ConFiG: Contextual Fibre Growth to generate realistic axonal packing for diffusion MRI simulation. NeuroImage 220 , 117107. 10.1016/j.neuroimage.2020.117107

Jelescu, Ileana O., Palombo, Marco

, Bagnato, Francesca and Schilling, Kurt G. 2020. Challenges for biophysical modeling of microstructure. Journal of Neuroscience Methods 344 , 108861. 10.1016/j.jneumeth.2020.108861

Slator, Paddy J.

, Hutter, Jana, Marinescu, Razvan V., Palombo, Marco

, Jackson, Laurence H., Ho, Alison, Chappell, Lucy C., Rutherford, Mary, Hajnal, Joseph V. and Alexander, Daniel C. 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. Published in: Martel, A.L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M.A., Zhou, S.K., Racoceanu, D. and Joskowicz, L. eds. Medical Image Computing and Computer Assisted Intervention – MICCAI 2020. Lecture Notes in Computer Science. , vol.12266 Cham: Springer, pp. 375-385. 10.1007/978-3-030-59725-2_36

Warner, Richard William, Palombo, Marco

, Dell'Acqua, Flavio and Drobnjak, Ivana 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, Marco

, Ianus, Andrada, Guerreri, Michele, Nunes, Daniel, Alexander, Daniel C., Shemesh, Noam and Zhang, Hui 2020. SANDI: a compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRI. NeuroImage 215 , 116835. 10.1016/j.neuroimage.2020.116835

Vincent, Melissa, Palombo, Marco

and Valette, Julien 2020. Revisiting double diffusion encoding MRS in the mouse brain at 11.7T: Which microstructural features are we sensitive to? NeuroImage 207 , 116399. 10.1016/j.neuroimage.2019.116399

Capuani, Silvia and Palombo, Marco

2020. Mini review on anomalous diffusion by MRI: Potential advantages, pitfalls, limitations, nomenclature, and correct interpretation of literature. Frontiers in Physics 7 , 248. 10.3389/fphy.2019.00248

Guerreri, Michele, Szczepankiewicz, Filip, Lampinen, Bjorn, Palombo, Marco

, Nilsson, Markus and Zhang, Hui 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.

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.

Slator, Paddy

, Hutter, J., Palombo, M.

, Jackson, L. H., Ho, A., Panagiotaki, E., Chappell, L. C., Rutherford, M. A., Hajnal, J. V. and Alexander, D. 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, Ross, Alexander, Daniel C., Zhang, Hui and Palombo, Marco

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. Published in: Chung, A., Gee, J., Yushkevich, P. and Bao, S. eds. Information Processing in Medical Imaging Proceedings. Lecture Notes in Computer Science. Lecture Notes in Computer Science , vol.11492 Springer, pp. 429-440. 10.1007/978-3-030-20351-1_33

Slator, Paddy

, Hutter, Jana, Marinescu, Ravzan V., Palombo, Marco

, Young, Alexandra L., Jackson, Laurence H., Ho, Alison, Chappell, Lucy C., Rutherford, Mary, Hajnal, Joseph V. and Alexander, Daniel C. 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. Published in: Chung, Albert C. S., Gee, James C., Yushkevich, Paul A. and Bao, Siqi eds. Information Processing in Medical Imaging: 26th International Conference, IPMI 2019, Hong Kong, China, June 2–7, 2019, Proceedings. Lecture Notes in Computer Science. Springer, pp. 755-766. 10.1007/978-3-030-20351-1_59

Callaghan, Ross, Shemesh, Noam, Alexander, Daniel, Zhang, Hui and Palombo, Marco

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, Lipeng, Bonet-Carne, Elisenda, Grussu, Francesco, Sepehrband, Farshid, Kaden, Enrico, Veraart, Jelle, Blumberg, Stefano B., Khoo, Can Son, Palombo, Marco

, Coll-Font, Jaume, Scherrer, Benoit, Warfield, Simon K., Karayumak, Suheyla Cetin, Rathi, Yogesh, Koppers, Simon, Weninger, Leon, Ebert, Julia, Merhof, Dorit, Moyer, Daniel, Pietsch, Maximilian, Christiaens, Daan, Teixeira, Rui, Tournier, Jacques-Donald, Zhylka, Andrey, Pluim, Josien, Parker, Greg, Rudrapatna, Umesh, Evans, John, Charron, Cyril, Jones, Derek K.

and Tax, Chantal W. M.

2019. Muti-shell diffusion MRI harmonisation and enhancement challenge (MUSHAC): Progress and results. Presented at: MICCAI 2018, Granada, Spain, 16-20 September 2018. Published in: Bonet-Carne, E, Grussu, F, Ning, L, Sepehrband, F and Tax, C eds. Computational Diffusion MRI. Mathematics and Visualization , vol.1 Cham: Springer, pp. 217-224. 10.1007/978-3-030-05831-9_18

Ligneu, C., Palombo, M.

, Hernandez-Garzon, E., Carrillo-De Sauvage, M.-A., Flament, J., Hantraye, P., Brouillet, E., Bonvento, G., Escartin, C. and Valette, J. 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, Paddy

, Aughwane, R., Cade, G., Taylor, D., David, A.L., Lewis, R., Jauniaux, E., Desjardins, A., Salomon, L., Millischer, A.-E., Tsataris, V., Rutherford, M., Johnstone, E., Melbourne, A. and Palombo, M.

2019. Placenta Imaging Workshop 2018 report: Multiscale and multimodal approaches. Placenta 79 , pp. 78-82. 10.1016/j.placenta.2018.10.010

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, Marco

, Alexander, Daniel C. and Zhang, Hui 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

Blumberg, Stefano B., Palombo, Marco

, Khoo, Can Son, Tax, Chantal M. W.

, Tanno, Ryutaro and Alexander, Daniel C. 2019. Multi-stage prediction networks for data harmonization. Presented at: Medical Image Computing and Computer Assisted Intervention – MICCAI, Shenzhen, China, 13-17 Oct 2019. Medical Image Computing and Computer Assisted Intervention – MICCAI Proceedings. Lecture Notes in Computer Science. Lecture Notes in Computer Science , vol.11767 Springer, pp. 411-419. 10.1007/978-3-030-32251-9_45

Palombo, Marco

, Figin, Matteo, Pascuzzo, Riccardo, Caroppo, Paola, Verri, Mattia, Schneider, Torben, Gandini Wheeler-Kingshott, Claudia A. M., Redaelli, Veronica, Alexander, Daniel, Zhang, Hui, Giaccone, Giorgio and Bizzi, Alberto 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.

Palombo, Marco

, Nunes, Daniel, Alexander, Daniel C., Zhang, Hui and Shemesh, Noam 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. Published in: 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).

Jones, D. K., Alexander, D. C., Bowtell, R., Cercignani, M., Dell'Acqua, F., McHugh, D. J., Miller, K. L., Palombo, M.

, Parker, G. J. M., Rudrapatna, U. S. and Tax, CMW 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

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

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

Guerreri, Michele, Szczepankiewicz, Filip, Lampinen, Bjorn, Nilsson, Markus, Palombo, Marco

, Capuani, Silvia and Zhang, Gary Hui 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.

Hill, I., Palombo, Marco

, Santin, M. D., Branzoli, F., Philippe, A.-C., Wassermann, D., Aigrot, M. S., Stankoff, B., Zhang, H., Lehericy, S., Petiet, A., Alexander, D., Ciccarelli, O. and Drobnjak, I. 2018. Deep neural network based framework for in-vivo axonal permeability estimation. Presented at: Joint Annual Meeting ISMRM-ESMRMB 2018, 16-21 June 2018. Proceedings of the Joint Annual Meeting ISMRM-ESMRMB 2018. ISMRM (International Society for Magnetic Resonance in Medicine).

Palombo, Marco

, Hill, Ioana, Santin, Mathieu, Branzoli, Francesca, Philippe, Anne-Charlotte, Wassermann, Demian, Aigrot, Marie-Stephanie, Stankoff, Bruno, Zhang, Hui, Lehericy, Stephan, Petiet, Alexandra, Alexander, Daniel C. and Drobnjak, Ivana 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. Published in: Miller, K. L. and Port, J. D. eds.

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., Conti, A., Sinjari, B., Spadone, S., Pecci, R., Palombo, M.

, Komlev, V. S., Ortore, M. G., Tromba, G., Capuani, S., Guidotti, R., De Luca, F., Caputi, S., Traini, T. and Della Penna, S. 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 , 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) , 583A-584A. 10.1016/j.bpj.2016.11.3141

Palombo, Marco

, Ligneul, Clemence and Valette, Julien 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) , E497-E498. 10.1097/BCR.0000000000000395

Palombo, M.

, Ligneul, C., Najac, C., Le Douce, J., Flament, J., Escartin, C., Hantraye, P., Brouillet, E., Bonvento, G. and Valette, J. 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, Marco

, Gentili, Silvia, Bozzali, Marco, Macaluso, Emiliano and Capuani, Silvia 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, Giulia, Palombo, Marco

and Capuani, Silvia 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 , 2631. 10.1038/srep02631

GadElkarim, Johnson J., Magin, Richard L., Meerschaert, Mark M., Capuani, Silvia, Palombo, Marco

, Kumar, Anand and Leow, Alex 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, Giulia, Baldi, Jacopo, Piccirilli, Eleonora, Palombo, Marco

, Celi, Monica, Gasbarra, Elena, Tarantino, Umberto and Capuani, Silvia 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. Osteoporosis International. , vol.24 (Supp 1) Springer, S293-S293. 10.1007/s00198-013-2312-y

Capuani, Silvia, Palombo, Marco

, Gabrielli, Andrea, Orlandi, Augusto, Maraviglia, Bruno and Pastore, Francesco 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, Marco

, Gabrielli, Andrea, De Santis, Silvia

and Capuani, Silvia 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, Silvia

, Gabrielli, Andrea, Palombo, Marco

, Maraviglia, Bruno and Capuani, Silvia 2011. Non-Gaussian diffusion imaging: a brief practical review. Magnetic Resonance Imaging 29 (10) , pp. 1410-1416. 10.1016/j.mri.2011.04.006

This list was generated on Thu Apr 18 10:23:30 2024 BST.