Marco Palombo - RankMe

43 papers Journal 33Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Exploring the contribution of gray matter microstructure to R1 contrast via multi-compartment diffusion modelling in the healthy brain. NeuroImage E. Bliakharskaia, Antonio Maria Chiarelli, Eleonora Patitucci, M. Carriero, Davide Di Censo, Emma Biondetti, C. Del Gratta, Silvia Capuani, Marco Palombo, Valentina Tomassini, Richard G. Wise, Alessandra Caporale
2025	J	`jnl`	Ultra-Strong Gradient Diffusion MRI with Self-Supervised Learning for Prostate Cancer Characterization. CoRR Tanishq Patil, Snigdha Sen, Malwina Molendowska, Kieran G. Foley, Fabrizio Fasano, Mara Cercignani, Marco Palombo, Paddy J. Slator, Eleftheria Panagiotaki
2024	—	`conf`	Image Quality Transfer of Diffusion MRI Guided By High-Resolution Structural MRI. CDMRI@MICCAI 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
2024	J	`jnl`	Predicting Radiologists' Gaze With Computational Saliency Models in Mammogram Reading. IEEE Trans. Multim. Jianxun Lou, Hanhe Lin, Philippa Young, Richard D. White, Zelei Yang, Susan Cheng Shelmerdine, David Marshall, Emiliano Spezi, Marco Palombo, Hantao Liu
2023	J	`jnl`	Higher order diffusion imaging as a putative index of human sleep-related microstructural changes and glymphatic clearance. NeuroImage Balázs Örzsik, Marco Palombo, Iris Asllani, Derk-Jan Dijk, Neil A. Harrison, Mara Cercignani
2023	J	`jnl`	Microglial morphometric analysis: so many options, so little consistency. Frontiers Neuroinformatics Jack Reddaway, Peter Eulalio Richardson, Ryan J. Bevan, Jessica Stoneman, Marco Palombo
2023	J	`jnl`	Temporal Diffusion Ratio (TDR) for imaging restricted diffusion: Optimisation and pre-clinical demonstration. NeuroImage William Warner, Marco Palombo, Renata Cruz, Ross Callaghan, Noam Shemesh, Derek K. Jones, Flavio Dell'Acqua, Andrada Ianus, Ivana Drobnjak
2023	J	`jnl`	μGUIDE: a framework for microstructure imaging via generalized uncertainty-driven inference using deep learning. CoRR Maëliss Jallais, Marco Palombo
2022	J	`jnl`	Fitting a Directional Microstructure Model to Diffusion-Relaxation MRI Data with Self-Supervised Machine Learning. CoRR Jason P. Lim, Stefano B. Blumberg, Neil Narayan, Sean C. Epstein, Daniel C. Alexander, Marco Palombo, Paddy J. Slator
2022	—	`conf`	Fitting a Directional Microstructure Model to Diffusion-Relaxation MRI Data with Self-supervised Machine Learning. CDMRI@MICCAI Jason P. Lim, Stefano B. Blumberg, Neil Narayan, Sean C. Epstein, Daniel C. Alexander, Marco Palombo, Paddy J. Slator
2022	—	`conf`	Lossy Compression of Multidimensional Medical Images Using Sinusoidal Activation Networks: An Evaluation Study. CDMRI@MICCAI Matteo Mancini, Derek K. Jones, Marco Palombo
2022	J	`jnl`	Lossy compression of multidimensional medical images using sinusoidal activation networks: an evaluation study. CoRR Matteo Mancini, Derek K. Jones, Marco Palombo
2022	J	`jnl`	Neurite Exchange Imaging (NEXI): A minimal model of diffusion in gray matter with inter-compartment water exchange. NeuroImage Ileana O. Jelescu, Alexandre de Skowronski, Françoise Geffroy, Marco Palombo, Dmitry S. Novikov
2022	J	`jnl`	Soma and Neurite Density MRI (SANDI) of the NeuroImage Andrada Ianus, Joana Carvalho, Francisca F. Fernandes, Renata Cruz, Cristina Chavarrías, Marco Palombo, Noam Shemesh
2021	—	`conf`	A Microstructure Model from Conventional Diffusion MRI of Meningiomas: Impact of Noise and Error Minimization. CDMRI@MICCAI Letizia Morelli, Giulia Buizza, Chiara Paganelli, Giulia Riva, Giulia Fontana, Sara Imparato, Alberto Iannalfi, Ester Orlandi, Marco Palombo, Guido Baroni
2021	—	`conf`	Analysis of tumour microstructure estimation from conventional diffusion MRI and application to skull-base chordoma EMBC Letizia Morelli, Giulia Buizza, Marco Palombo, Giulia Riva, Giulia Fontana, Sara Imparato, Alberto Iannalfi, Ester Orlandi, Chiara Paganelli, Guido Baroni
2021	J	`jnl`	Comparative analysis of signal models for microscopic fractional anisotropy estimation using q-space trajectory encoding. NeuroImage 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
2021	J	`jnl`	Corrigendum to "SANDI: A compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRI" [Neuroimage 215 (2020), 116835]. NeuroImage Marco Palombo, Andrada Ianus, Michele Guerreri, Daniel Nunes, Daniel C. Alexander, Noam Shemesh, Hui Zhang
2021	J	`jnl`	Data-Driven multi-Contrast spectral microstructure imaging with InSpect: INtegrated SPECTral component estimation and mapping. Medical Image Anal. 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
2021	J	`jnl`	Machine learning based white matter models with permeability: An experimental study in cuprizone treated in-vivo mouse model of axonal demyelination. NeuroImage 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
2021	J	`jnl`	Mapping complex cell morphology in the grey matter with double diffusion encoding MR: A simulation study. NeuroImage Andrada Ianus, Daniel C. Alexander, Hui Zhang, Marco Palombo
2021	J	`jnl`	Neural networks for parameter estimation in microstructural MRI: Application to a diffusion-relaxation model of white matter. NeuroImage João P. de Almeida Martins, Markus Nilsson, Björn Lampinen, Marco Palombo, Peter T. While, Carl-Fredrik Westin, Filip Szczepankiewicz
2021	J	`jnl`	On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: Chronicles of the MEMENTO challenge. NeuroImage 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
2021	J	`jnl`	SPHERIOUSLY? The challenges of estimating sphere radius non-invasively in the human brain from diffusion MRI. NeuroImage Maryam Afzali, Markus Nilsson, Marco Palombo, Derek K. Jones
2021	—	`conf`	Synthetic Q-Space Learning With Deep Regression Networks For Prostate Cancer Characterisation With Verdict. ISBI Vanya V. Valindria, Marco Palombo, Eleni Chiou, Saurabh Singh, Shonit Punwani, Eleftheria Panagiotaki
2020	J	`jnl`	ConFiG: Contextual Fibre Growth to generate realistic axonal packing for diffusion MRI simulation. NeuroImage Ross Callaghan, Daniel C. Alexander, Marco Palombo, Hui Zhang
2020	J	`jnl`	Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: Algorithms and results. NeuroImage 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
2020	—	`conf`	Data-Driven Multi-contrast Spectral Microstructure Imaging with InSpect. MICCAI (6) 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
2020	J	`jnl`	Revisiting double diffusion encoding MRS in the mouse brain at 11.7T: Which microstructural features are we sensitive to? NeuroImage Mélissa Vincent, Marco Palombo, Julien Valette
2020	J	`jnl`	SANDI: A compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRI. NeuroImage Marco Palombo, Andrada Ianus, Michele Guerreri, Daniel Nunes, Daniel C. Alexander, Noam Shemesh, Hui Zhang
2019	J	`jnl`	A generative model of realistic brain cells with application to numerical simulation of the diffusion-weighted MR signal. NeuroImage Marco Palombo, Daniel C. Alexander, Hui Zhang
2019	J	`jnl`	Age-related microstructural and physiological changes in normal brain measured by MRI NeuroImage Michele Guerreri, Marco Palombo, Alessandra Caporale, Fabrizio Fasano, Emiliano Macaluso, Marco Bozzali, Silvia Capuani
2019	—	`conf`	Contextual Fibre Growth to Generate Realistic Axonal Packing for Diffusion MRI Simulation. IPMI Ross Callaghan, Daniel C. Alexander, Hui Zhang, Marco Palombo
2019	J	`jnl`	Diffusion-weighted magnetic resonance spectroscopy enables cell-specific monitoring of astrocyte reactivity NeuroImage Clemence Ligneul, Marco Palombo, Edwin Hernandez-Garzon, Maria-Angeles Carrillo-de Sauvage, Julien Flament, Philippe Hantraye, Emmanuel Brouillet, Gilles Bonvento, Carole Escartin, Julien Valette
2019	—	`conf`	InSpect: INtegrated SPECTral Component Estimation and Mapping for Multi-contrast Microstructural MRI. IPMI 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
2019	J	`jnl`	Multi-Stage Prediction Networks for Data Harmonization. CoRR Stefano B. Blumberg, Marco Palombo, Can Son Khoo, Chantal M. W. Tax, Ryutaro Tanno, Daniel C. Alexander
2019	—	`conf`	Multi-stage Prediction Networks for Data Harmonization. MICCAI (4) Stefano B. Blumberg, Marco Palombo, Can Son Khoo, Chantal M. W. Tax, Ryutaro Tanno, Daniel C. Alexander
2018	J	`jnl`	A generative model of realistic brain cells with application to numerical simulation of diffusion-weighted MR signal. CoRR Marco Palombo, Daniel C. Alexander, Hui Zhang
2018	J	`jnl`	Can we detect the effect of spines and leaflets on the diffusion of brain intracellular metabolites? NeuroImage Marco Palombo, Clemence Ligneul, Edwin Hernandez-Garzon, Julien Valette
2018	J	`jnl`	Insights into brain microstructure from NeuroImage Marco Palombo, Noam Shemesh, Itamar Ronen, Julien Valette
2018	J	`jnl`	Microstructural imaging of the human brain with a 'super-scanner': 10 key advantages of ultra-strong gradients for diffusion MRI. NeuroImage 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
2017	J	`jnl`	The γ-parameter of anomalous diffusion quantified in human brain by MRI depends on local magnetic susceptibility differences. NeuroImage Alessandra Caporale, Marco Palombo, Emiliano Macaluso, Michele Guerreri, Marco Bozzali, Silvia Capuani
2013	J	`jnl`	Fractional Order Generalization of Anomalous Diffusion as a Multidimensional Extension of the Transmission Line Equation. IEEE J. Emerg. Sel. Topics Circuits Syst. Johnson J. GadElkarim, Richard L. Magin, Mark M. Meerschaert, Silvia Capuani, Marco Palombo, Anand R. Kumar, Alex D. Leow