Fractional Order Generalization of Anomalous Diffusion as a Multidimensional Extension of the Transmission Line Equation. - Johnson J. GadElkarim; Richard L. Magin; Mark M. Meerschaert; Silvia Capuani; Marco Palombo; Anand R. Kumar; Alex D. Leow (IEEE J. Emerg. Sel. Topics Circuits Syst., 2013)

The γ-parameter of anomalous diffusion quantified in human brain by MRI depends on local magnetic susceptibility differences. - Alessandra Caporale; Marco Palombo; Emiliano Macaluso; Michele Guerreri; Marco Bozzali; Silvia Capuani (NeuroImage, 2017)

Microstructural imaging of the human brain with a 'super-scanner': 10 key advantages of ultra-strong gradients for diffusion MRI. - 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 (NeuroImage, 2018)

Can we detect the effect of spines and leaflets on the diffusion of brain intracellular metabolites? - Marco Palombo; Clemence Ligneul; Edwin Hernandez-Garzon; Julien Valette (NeuroImage, 2018)

Insights into brain microstructure from in vivo DW-MRS. - Marco Palombo; Noam Shemesh; Itamar Ronen; Julien Valette (NeuroImage, 2018)

Contextual Fibre Growth to Generate Realistic Axonal Packing for Diffusion MRI Simulation. - Ross Callaghan; Daniel C. Alexander; Hui Zhang 005; Marco Palombo (IPMI, 2019)

InSpect: INtegrated SPECTral Component Estimation and Mapping for Multi-contrast Microstructural MRI. - 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 (IPMI, 2019)

Multi-stage Prediction Networks for Data Harmonization. - Stefano B. Blumberg; Marco Palombo; Can Son Khoo; Chantal M. W. Tax; Ryutaro Tanno; Daniel C. Alexander (MICCAI (4), 2019)

Age-related microstructural and physiological changes in normal brain measured by MRI γ-metrics derived from anomalous diffusion signal representation. - Michele Guerreri; Marco Palombo; Alessandra Caporale; Fabrizio Fasano; Emiliano Macaluso; Marco Bozzali; Silvia Capuani (NeuroImage, 2019)

Diffusion-weighted magnetic resonance spectroscopy enables cell-specific monitoring of astrocyte reactivity in vivo. - Clemence Ligneul; Marco Palombo; Edwin Hernandez-Garzon; Maria-Angeles Carrillo-de Sauvage; Julien Flament; Philippe Hantraye; Emmanuel Brouillet; Gilles Bonvento; Carole Escartin; Julien Valette (NeuroImage, 2019)

A generative model of realistic brain cells with application to numerical simulation of the diffusion-weighted MR signal. - Marco Palombo; Daniel C. Alexander; Hui Zhang 005 (NeuroImage, 2019)

Data-Driven Multi-contrast Spectral Microstructure Imaging with InSpect. - 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 (MICCAI (6), 2020)

ConFiG: Contextual Fibre Growth to generate realistic axonal packing for diffusion MRI simulation. - Ross Callaghan; Daniel C. Alexander; Marco Palombo; Hui Zhang 005 (NeuroImage, 2020)

Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: Algorithms and results. - 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; et al. (NeuroImage, 2020)

SANDI: A compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRI. - Marco Palombo; Andrada Ianus; Michele Guerreri; Daniel Nunes; Daniel C. Alexander; Noam Shemesh; Hui Zhang 005 (NeuroImage, 2020)

Revisiting double diffusion encoding MRS in the mouse brain at 11.7T: Which microstructural features are we sensitive to? - Mélissa Vincent; Marco Palombo; Julien Valette (NeuroImage, 2020)

Analysis of tumour microstructure estimation from conventional diffusion MRI and application to skull-base chordoma*. - Letizia Morelli; Giulia Buizza; Marco Palombo; Giulia Riva; Giulia Fontana; Sara Imparato; Alberto Iannalfi; Ester Orlandi; Chiara Paganelli; Guido Baroni (EMBC, 2021)

Synthetic Q-Space Learning With Deep Regression Networks For Prostate Cancer Characterisation With Verdict. - Vanya V. Valindria; Marco Palombo; Eleni Chiou; Saurabh Singh; Shonit Punwani; Eleftheria Panagiotaki (ISBI, 2021)

A Microstructure Model from Conventional Diffusion MRI of Meningiomas: Impact of Noise and Error Minimization. - Letizia Morelli; Giulia Buizza; Chiara Paganelli; Giulia Riva; Giulia Fontana; Sara Imparato; Alberto Iannalfi; Ester Orlandi; Marco Palombo; Guido Baroni (CDMRI@MICCAI, 2021)

Data-Driven multi-Contrast spectral microstructure imaging with InSpect: INtegrated SPECTral component estimation and mapping. - 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 (Medical Image Anal., 2021)

SPHERIOUSLY? The challenges of estimating sphere radius non-invasively in the human brain from diffusion MRI. - Maryam Afzali; Markus Nilsson; Marco Palombo; Derek K. Jones (NeuroImage, 2021)

Machine learning based white matter models with permeability: An experimental study in cuprizone treated in-vivo mouse model of axonal demyelination. - 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 005; et al. (NeuroImage, 2021)

Mapping complex cell morphology in the grey matter with double diffusion encoding MR: A simulation study. - Andrada Ianus; Daniel C. Alexander; Hui Zhang 005; Marco Palombo (NeuroImage, 2021)

Comparative analysis of signal models for microscopic fractional anisotropy estimation using q-space trajectory encoding. - Leevi Kerkelä; Fabio Nery; Ross Callaghan; Fenglei Zhou; Noemi G. Gyori; Filip Szczepankiewicz; Marco Palombo; Geoff J. M. Parker; Hui Zhang 005; Matt G. Hall; Chris A. Clark (NeuroImage, 2021)

On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: Chronicles of the MEMENTO challenge. - Alberto De Luca; Andrada Ianus; Alexander Leemans; Marco Palombo; Noam Shemesh; Hui Zhang 005; Daniel C. Alexander; Markus Nilsson; Martijn Froeling; Geert Jan Biessels; Mauro Zucchelli; Matteo Frigo; et al. (NeuroImage, 2021)

Neural networks for parameter estimation in microstructural MRI: Application to a diffusion-relaxation model of white matter. - João P. de Almeida Martins; Markus Nilsson; Björn Lampinen; Marco Palombo; Peter T. While; Carl-Fredrik Westin; Filip Szczepankiewicz (NeuroImage, 2021)

Corrigendum to "SANDI: A compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRI" [Neuroimage 215 (2020), 116835]. - Marco Palombo; Andrada Ianus; Michele Guerreri; Daniel Nunes; Daniel C. Alexander; Noam Shemesh; Hui Zhang 005 (NeuroImage, 2021)

Fitting a Directional Microstructure Model to Diffusion-Relaxation MRI Data with Self-supervised Machine Learning. - Jason P. Lim; Stefano B. Blumberg; Neil Narayan; Sean C. Epstein; Daniel C. Alexander; Marco Palombo; Paddy J. Slator (CDMRI@MICCAI, 2022)

Lossy Compression of Multidimensional Medical Images Using Sinusoidal Activation Networks: An Evaluation Study. - Matteo Mancini; Derek K. Jones; Marco Palombo (CDMRI@MICCAI, 2022)

Soma and Neurite Density MRI (SANDI) of the in-vivo mouse brain and comparison with the Allen Brain Atlas. - Andrada Ianus; Joana Carvalho; Francisca F. Fernandes; Renata Cruz; Cristina Chavarrías; Marco Palombo; Noam Shemesh (NeuroImage, 2022)

Neurite Exchange Imaging (NEXI): A minimal model of diffusion in gray matter with inter-compartment water exchange. - Ileana O. Jelescu; Alexandre de Skowronski; Françoise Geffroy; Marco Palombo; Dmitry S. Novikov (NeuroImage, 2022)

μGUIDE: a framework for microstructure imaging via generalized uncertainty-driven inference using deep learning. - Maëliss Jallais; Marco Palombo (CoRR, 2023)

Microglial morphometric analysis: so many options, so little consistency. - Jack Reddaway; Peter Eulalio Richardson; Ryan J. Bevan; Jessica Stoneman; Marco Palombo (Frontiers Neuroinformatics, 2023)

Temporal Diffusion Ratio (TDR) for imaging restricted diffusion: Optimisation and pre-clinical demonstration. - William Warner; Marco Palombo; Renata Cruz; Ross Callaghan; Noam Shemesh; Derek K. Jones; Flavio Dell'Acqua; Andrada Ianus; Ivana Drobnjak (NeuroImage, 2023)

Higher order diffusion imaging as a putative index of human sleep-related microstructural changes and glymphatic clearance. - Balázs Örzsik; Marco Palombo; Iris Asllani; Derk-Jan Dijk; Neil A. Harrison; Mara Cercignani (NeuroImage, 2023)

Image Quality Transfer of Diffusion MRI Guided By High-Resolution Structural MRI. - Alp G. Cicimen; Henry F. J. Tregidgo; Matteo Figini; Eirini Messaritaki; Carolyn B. McNabb; Marco Palombo; C. John Evans; Mara Cercignani; Derek K. Jones; Daniel C. Alexander (CDMRI@MICCAI, 2024)

Predicting Radiologists' Gaze With Computational Saliency Models in Mammogram Reading. - Jianxun Lou; Hanhe Lin; Philippa Young; Richard White; Zelei Yang; Susan Cheng Shelmerdine; David Marshall 001; Emiliano Spezi; Marco Palombo; Hantao Liu (IEEE Trans. Multim., 2024)