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2020 – today
- 2024
[j26]Jianxun Lou
, Hanhe Lin, Philippa Young, Richard White, Zelei Yang, Susan Cheng Shelmerdine, David Marshall, Emiliano Spezi, Marco Palombo, Hantao Liu:
Predicting Radiologists' Gaze With Computational Saliency Models in Mammogram Reading. IEEE Trans. Multim. 26: 256-269 (2024)- 2023
- [j25]Jack Reddaway, Peter Eulalio Richardson, Ryan J. Bevan, Jessica Stoneman, Marco Palombo:
Microglial morphometric analysis: so many options, so little consistency. Frontiers Neuroinformatics 17 (2023) - [j24]William Warner, Marco Palombo, Renata Cruz, Ross Callaghan, Noam Shemesh, Derek K. Jones, Flavio Dell'Acqua, Andrada Ianus, Ivana Drobnjak:
Temporal Diffusion Ratio (TDR) for imaging restricted diffusion: Optimisation and pre-clinical demonstration. NeuroImage 269: 119930 (2023) - [j23]Balázs Örzsik, Marco Palombo, Iris Asllani, Derk-Jan Dijk, Neil A. Harrison, Mara Cercignani:
Higher order diffusion imaging as a putative index of human sleep-related microstructural changes and glymphatic clearance. NeuroImage 274: 120124 (2023) - [i5]Maëliss Jallais, Marco Palombo:
μGUIDE: a framework for microstructure imaging via generalized uncertainty-driven inference using deep learning. CoRR abs/2312.17293 (2023) - 2022
- [j22]Andrada Ianus, Joana Carvalho, Francisca F. Fernandes, Renata Cruz, Cristina Chavarrías, Marco Palombo, Noam Shemesh:
Soma and Neurite Density MRI (SANDI) of the in-vivo mouse brain and comparison with the Allen Brain Atlas. NeuroImage 254: 119135 (2022) - [j21]Ileana O. Jelescu, Alexandre de Skowronski, Françoise Geffroy, Marco Palombo, Dmitry S. Novikov:
Neurite Exchange Imaging (NEXI): A minimal model of diffusion in gray matter with inter-compartment water exchange. NeuroImage 256: 119277 (2022) - [c9]Matteo Mancini, Derek K. Jones, Marco Palombo:
Lossy Compression of Multidimensional Medical Images Using Sinusoidal Activation Networks: An Evaluation Study. CDMRI@MICCAI 2022: 26-37 - [c8]Jason P. Lim, Stefano B. Blumberg, Neil Narayan, Sean C. Epstein, Daniel C. Alexander, Marco Palombo, Paddy J. Slator:
Fitting a Directional Microstructure Model to Diffusion-Relaxation MRI Data with Self-supervised Machine Learning. CDMRI@MICCAI 2022: 77-88 - [i4]Matteo Mancini, Derek K. Jones, Marco Palombo:
Lossy compression of multidimensional medical images using sinusoidal activation networks: an evaluation study. CoRR abs/2208.01602 (2022) - [i3]Jason P. Lim, Stefano B. Blumberg, Neil Narayan, Sean C. Epstein, Daniel C. Alexander, Marco Palombo, Paddy J. Slator:
Fitting a Directional Microstructure Model to Diffusion-Relaxation MRI Data with Self-Supervised Machine Learning. CoRR abs/2210.02349 (2022) - 2021
- [j20]Paddy J. Slator, Jana Hutter, Razvan V. Marinescu, Marco Palombo, Laurence H. Jackson, Alison Ho, Lucy C. Chappell, Mary A. Rutherford, Joseph V. Hajnal, Daniel C. Alexander:
Data-Driven multi-Contrast spectral microstructure imaging with InSpect: INtegrated SPECTral component estimation and mapping. Medical Image Anal. 71: 102045 (2021) - [j19]Ioana Hill, Marco Palombo, Mathieu D. Santin, Francesca Branzoli, Anne-Charlotte Philippe, Demian Wassermann, Marie-Stephane Aigrot, Bruno Stankoff, Anne Baron-Van Evercooren, Mehdi Felfli, Dominique Langui, Hui Zhang, Stéphane Lehéricy, Alexandra Petiet, Daniel C. Alexander, Olga Ciccarelli, Ivana Drobnjak:
Machine learning based white matter models with permeability: An experimental study in cuprizone treated in-vivo mouse model of axonal demyelination. NeuroImage 224: 117425 (2021) - [j18]Marco Palombo, Andrada Ianus, Michele Guerreri, Daniel Nunes, Daniel C. Alexander, Noam Shemesh, Hui Zhang:
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 (2021) - [j17]Maryam Afzali, Markus Nilsson, Marco Palombo, Derek K. Jones:
SPHERIOUSLY? The challenges of estimating sphere radius non-invasively in the human brain from diffusion MRI. NeuroImage 237: 118183 (2021) - [j16]Alberto De Luca, Andrada Ianus, Alexander Leemans, Marco Palombo, Noam Shemesh, Hui Zhang, Daniel C. Alexander, Markus Nilsson, Martijn Froeling, Geert Jan Biessels, Mauro Zucchelli, Matteo Frigo, Enes Albay, Sara Sedlar, Abib Alimi, Samuel Deslauriers-Gauthier, Rachid Deriche, Rutger Fick, Maryam Afzali, Tomasz Pieciak, Fabian Bogusz, Santiago Aja-Fernández, Evren Özarslan, Derek K. Jones, Haoze Chen, Mingwu Jin, Zhijie Zhang, Fengxiang Wang, Vishwesh Nath, Prasanna Parvathaneni, Jan Morez, Jan Sijbers, Ben Jeurissen, Shreyas Fadnavis, Stefan C. Endres, Ariel Rokem, Eleftherios Garyfallidis, Irina Sánchez, Vesna Prchkovska, Paulo Rodrigues, Bennett A. Landman, Kurt G. Schilling:
On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: Chronicles of the MEMENTO challenge. NeuroImage 240: 118367 (2021) - [j15]Andrada Ianus, Daniel C. Alexander, Hui Zhang, Marco Palombo:
Mapping complex cell morphology in the grey matter with double diffusion encoding MR: A simulation study. NeuroImage 241: 118424 (2021) - [j14]Leevi Kerkelä, Fabio Nery, Ross Callaghan, Fenglei Zhou, Noemi G. Gyori, Filip Szczepankiewicz, Marco Palombo, Geoff J. M. Parker, Hui Zhang, Matt G. Hall, Chris A. Clark:
Comparative analysis of signal models for microscopic fractional anisotropy estimation using q-space trajectory encoding. NeuroImage 242: 118445 (2021) - [j13]João P. de Almeida Martins, Markus Nilsson, Björn Lampinen, Marco Palombo, Peter T. While, Carl-Fredrik Westin, Filip Szczepankiewicz:
Neural networks for parameter estimation in microstructural MRI: Application to a diffusion-relaxation model of white matter. NeuroImage 244: 118601 (2021) - [c7]Letizia Morelli, Giulia Buizza, Marco Palombo, Giulia Riva, Giulia Fontana, Sara Imparato, Alberto Iannalfi, Ester Orlandi, Chiara Paganelli, Guido Baroni:
Analysis of tumour microstructure estimation from conventional diffusion MRI and application to skull-base chordoma*. EMBC 2021: 3761-3764 - [c6]Vanya V. Valindria, Marco Palombo, Eleni Chiou, Saurabh Singh, Shonit Punwani, Eleftheria Panagiotaki:
Synthetic Q-Space Learning With Deep Regression Networks For Prostate Cancer Characterisation With Verdict. ISBI 2021: 50-54 - [c5]Letizia Morelli, Giulia Buizza, Chiara Paganelli, Giulia Riva, Giulia Fontana, Sara Imparato, Alberto Iannalfi, Ester Orlandi, Marco Palombo, Guido Baroni:
A Microstructure Model from Conventional Diffusion MRI of Meningiomas: Impact of Noise and Error Minimization. CDMRI@MICCAI 2021: 25-35 - 2020
- [j12]Mélissa Vincent, Marco Palombo, Julien Valette:
Revisiting double diffusion encoding MRS in the mouse brain at 11.7T: Which microstructural features are we sensitive to? NeuroImage 207 (2020) - [j11]Marco Palombo, Andrada Ianus, Michele Guerreri, Daniel Nunes, Daniel C. Alexander, Noam Shemesh, Hui Zhang:
SANDI: A compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRI. NeuroImage 215: 116835 (2020) - [j10]Ross Callaghan, Daniel C. Alexander, Marco Palombo, Hui Zhang:
ConFiG: Contextual Fibre Growth to generate realistic axonal packing for diffusion MRI simulation. NeuroImage 220: 117107 (2020) - [j9]Lipeng Ning, Elisenda Bonet-Carne, Francesco Grussu, Farshid Sepehrband, Enrico Kaden, Jelle Veraart, Stefano B. Blumberg, Can Son Khoo, Marco Palombo, Iasonas Kokkinos, Daniel C. Alexander, Jaume Coll-Font, Benoit Scherrer, Simon K. Warfield, Suheyla Cetin Karayumak, Yogesh Rathi, Simon Koppers, Leon Weninger, Chantal M. W. Tax:
Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: Algorithms and results. NeuroImage 221: 117128 (2020) - [c4]Paddy J. Slator, Jana Hutter, Razvan V. Marinescu, Marco Palombo, Laurence H. Jackson, Alison Ho, Lucy C. Chappell, Mary A. Rutherford, Joseph V. Hajnal, Daniel C. Alexander:
Data-Driven Multi-contrast Spectral Microstructure Imaging with InSpect. MICCAI (6) 2020: 375-385
2010 – 2019
- 2019
- [j8]Marco Palombo, Daniel C. Alexander, Hui Zhang:
A generative model of realistic brain cells with application to numerical simulation of the diffusion-weighted MR signal. NeuroImage 188: 391-402 (2019) - [j7]Michele Guerreri, Marco Palombo, Alessandra Caporale, Fabrizio Fasano, Emiliano Macaluso, Marco Bozzali, Silvia Capuani:
Age-related microstructural and physiological changes in normal brain measured by MRI γ-metrics derived from anomalous diffusion signal representation. NeuroImage 188: 654-667 (2019) - [j6]Clemence Ligneul, Marco Palombo, Edwin Hernandez-Garzon, Maria-Angeles Carrillo-de Sauvage, Julien Flament, Philippe Hantraye, Emmanuel Brouillet, Gilles Bonvento, Carole Escartin, Julien Valette:
Diffusion-weighted magnetic resonance spectroscopy enables cell-specific monitoring of astrocyte reactivity in vivo. NeuroImage 191: 457-469 (2019) - [c3]Ross Callaghan, Daniel C. Alexander, Hui Zhang, Marco Palombo:
Contextual Fibre Growth to Generate Realistic Axonal Packing for Diffusion MRI Simulation. IPMI 2019: 429-440 - [c2]Paddy J. Slator, Jana Hutter, Razvan V. Marinescu, Marco Palombo, Alexandra L. Young, Laurence H. Jackson, Alison Ho, Lucy C. Chappell, Mary A. Rutherford, Joseph V. Hajnal, Daniel C. Alexander:
InSpect: INtegrated SPECTral Component Estimation and Mapping for Multi-contrast Microstructural MRI. IPMI 2019: 755-766 - [c1]Stefano B. Blumberg, Marco Palombo, Can Son Khoo, Chantal M. W. Tax, Ryutaro Tanno, Daniel C. Alexander:
Multi-stage Prediction Networks for Data Harmonization. MICCAI (4) 2019: 411-419 - [i2]Stefano B. Blumberg, Marco Palombo, Can Son Khoo, Chantal M. W. Tax, Ryutaro Tanno, Daniel C. Alexander:
Multi-Stage Prediction Networks for Data Harmonization. CoRR abs/1907.11629 (2019) - 2018
- [j5]Derek K. Jones, Daniel C. Alexander, Richard Bowtell, Mara Cercignani, Flavio Dell'Acqua, Damien J. McHugh, Karla L. Miller, Marco Palombo, Geoffrey J. M. Parker, S. Umesh Rudrapatna, Chantal M. W. Tax:
Microstructural imaging of the human brain with a 'super-scanner': 10 key advantages of ultra-strong gradients for diffusion MRI. NeuroImage 182: 8-38 (2018) - [j4]Marco Palombo, Noam Shemesh, Itamar Ronen, Julien Valette:
Insights into brain microstructure from in vivo DW-MRS. NeuroImage 182: 97-116 (2018) - [j3]Marco Palombo, Clemence Ligneul, Edwin Hernandez-Garzon, Julien Valette:
Can we detect the effect of spines and leaflets on the diffusion of brain intracellular metabolites? NeuroImage 182: 283-293 (2018) - [i1]Marco Palombo, Daniel C. Alexander, Hui Zhang:
A generative model of realistic brain cells with application to numerical simulation of diffusion-weighted MR signal. CoRR abs/1806.07125 (2018) - 2017
- [j2]Alessandra Caporale, Marco Palombo, Emiliano Macaluso, Michele Guerreri, Marco Bozzali, Silvia Capuani:
The γ-parameter of anomalous diffusion quantified in human brain by MRI depends on local magnetic susceptibility differences. NeuroImage 147: 619-631 (2017) - 2013
- [j1]Johnson J. GadElkarim, Richard L. Magin, Mark M. Meerschaert, Silvia Capuani, Marco Palombo, Anand R. Kumar, Alex D. Leow:
Fractional Order Generalization of Anomalous Diffusion as a Multidimensional Extension of the Transmission Line Equation. IEEE J. Emerg. Sel. Topics Circuits Syst. 3(3): 432-441 (2013)
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last updated on 2024-10-07 21:24 CEST by the dblp team
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