Marco Palombo

发表

Can we detect the effect of spines and leaflets on the diffusion of brain intracellular metabolites?

Marco Palombo, Clemence Ligneul, Edwin Hernandez-Garzon, 2017, NeuroImage.

The γ-parameter of anomalous diffusion quantified in human brain by MRI depends on local magnetic susceptibility differences

Emiliano Macaluso, Marco Bozzali, Marco Palombo, 2017, NeuroImage.

Microstructural imaging of the human brain with a ‘super-scanner’: 10 key advantages of ultra-strong gradients for diffusion MRI

Richard Bowtell, Derek K. Jones, Chantal M. W. Tax, 2018, NeuroImage.

Cross-scanner and cross-protocol harmonisation of multi-shell diffusion MRI data: open challenge and evaluation results

Josien P. W. Pluim, Simon K. Warfield, Jelle Veraart, 2019 .

Challenges for biophysical modeling of microstructure

Francesca Bagnato, Kurt G. Schilling, Marco Palombo, 2020, Journal of Neuroscience Methods.

Revisiting double diffusion encoding MRS in the mouse brain at 11.7T: Which microstructural features are we sensitive to?

Marco Palombo, Julien Valette, Melissa Vincent, 2019, NeuroImage.

Corrigendum to “SANDI: A compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRI” [Neuroimage 215 (2020), 116835]

Daniel C. Alexander, Noam Shemesh, Hui Zhang, 2021, NeuroImage.

ConFiG: Contextual Fibre Growth to generate realistic axonal packing for diffusion MRI simulation

Daniel C. Alexander, Hui Zhang, Marco Palombo, 2020, NeuroImage.

Diffusion-weighted magnetic resonance spectroscopy enables cell-specific monitoring of astrocyte reactivity in vivo

Philippe Hantraye, Marco Palombo, Clemence Ligneul, 2018, NeuroImage.

Acquiring and Predicting Multidimensional Diffusion (MUDI) Data: An Open Challenge

Jean-Philippe Thiran, Maxime Descoteaux, Carl-Fredrik Westin, 2020, Computational Diffusion MRI.

SANDI: A compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRI

Daniel C. Alexander, Noam Shemesh, Hui Zhang, 2019, NeuroImage.

Deep learning model fitting for diffusion-relaxometry: a comparative study

Daniel C. Alexander, Marco Palombo, Marco Battiston, 2020, bioRxiv.

Machine learning based white matter models with permeability: An experimental study in cuprizone treated in-vivo mouse model of axonal demyelination

Demian Wassermann, Daniel C. Alexander, Hui Zhang, 2019, NeuroImage.

Insights into brain microstructure from in vivo DW-MRS

Noam Shemesh, Marco Palombo, Julien Valette, 2017, NeuroImage.

Muti-shell Diffusion MRI Harmonisation and Enhancement Challenge (MUSHAC): Progress and Results

Josien P. W. Pluim, Simon K. Warfield, Jelle Veraart, 2019, Computational Diffusion MRI.

Double diffusion encoding and applications for biomedical imaging

Marco Palombo, Andrada Ianuş, Rafael N. Henriques, 2020, Journal of Neuroscience Methods.

Data-Driven Multi-contrast Spectral Microstructure Imaging with InSpect

Mary A. Rutherford, Joseph V. Hajnal, Daniel C. Alexander, 2020, MICCAI.

Multi-Stage Prediction Networks for Data Harmonization pdf

Chantal M. W. Tax, Daniel C. Alexander, Stefano B. Blumberg, 2019, MICCAI.

The GAP Project - GPU for Realtime Applications in High Level Trigger and Medical Imaging

Andrea Messina, Massimiliano Fiorini, Marco Palombo, 2014 .

A Microstructure Model from Conventional Diffusion MRI of Meningiomas: Impact of Noise and Error Minimization

Guido Baroni, Chiara Paganelli, Marco Palombo, 2021, CDMRI@MICCAI.

Mapping complex cell morphology in the grey matter with double diffusion encoding MR: A simulation study

Daniel C. Alexander, Marco Palombo, Andrada Ianus, 2020, NeuroImage.

SPHERIOUSLY? The challenges of estimating sphere radius non-invasively in the human brain from diffusion MRI

Derek K. Jones, Derek K Jones, Markus Nilsson, 2021, NeuroImage.

Neural networks for parameter estimation in microstructural MRI: Application to a diffusion-relaxation model of white matter

Carl-Fredrik Westin, Peter T. While, Markus Nilsson, 2021, NeuroImage.

Data-Driven multi-Contrast spectral microstructure imaging with InSpect: INtegrated SPECTral component estimation and mapping

Joseph V. Hajnal, Daniel C. Alexander, Marco Palombo, 2021, Medical Image Anal..

Comparative analysis of signal models for microscopic fractional anisotropy estimation using q-space trajectory encoding

Filip Szczepankiewicz, Marco Palombo, Fabio Nery, 2021, NeuroImage.

Deep learning model fitting for diffusion-relaxometry: a comparative study

Daniel C. Alexander, Torben Schneider, Marco Palombo, 2020, bioRxiv.

Synthetic Q-Space Learning With Deep Regression Networks For Prostate Cancer Characterisation With Verdict

Eleftheria Panagiotaki, Shonit Punwani, Marco Palombo, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Analysis of tumour microstructure estimation from conventional diffusion MRI and application to skull-base chordoma*

Guido Baroni, Chiara Paganelli, Marco Palombo, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Computational Diffusion MRI

Vishwesh Nath, Marco Palombo, Marco Pizzolato, 2019, Mathematics and Visualization.

Brain Metabolite Diffusion from Ultra-Short to Ultra-Long Time Scales: What Do We Learn, Where Should We Go?

Marco Palombo, Julien Valette, Charlotte Marchadour, 2018, Front. Neurosci..

Histological validation of the brain cell body imaging with diffusion MRI at ultrahigh field

Daniel C. Alexander, Marco Palombo, Hui Zhang, 2018 .

Spatio-temporal anomalous diffusion imaging: results in controlled phantoms and in excised human meningiomas.

Marco Palombo, Bruno Maraviglia, Silvia Capuani, 2013, Magnetic resonance imaging.

New paradigm to assess brain cell morphology by diffusion-weighted MR spectroscopy in vivo

Philippe Hantraye, Marco Palombo, Julien Valette, 2016, Proceedings of the National Academy of Sciences.

Metabolite diffusion up to very high b in the mouse brain in vivo: Revisiting the potential correlation between relaxation and diffusion properties

Marco Palombo, Julien Valette, Clémence Ligneul, 2016, Magnetic resonance in medicine.

Internal Magnetic Field Gradients in Heterogeneous Porous Systems: Comparison Between Spin-Echo and Diffusion Decay Internal Field (DDIF) Method

Giulia Di Pietro, Marco Palombo, Silvia Capuani, 2014 .

Abundance of cell bodies can explain the stick model ’ s failure in grey matter at high b-value

Daniel C. Alexander, Marco Palombo, Hui Zhang, 2017 .

A compartment based model for non-invasive cell body imaging by diffusion MRI

Daniel C. Alexander, Marco Palombo, Hui Zhang, 2018 .

The γ parameter of the stretched-exponential model is influenced by internal gradients: validation in phantoms.

Marco Palombo, Silvia Capuani, Andrea Gabrielli, 2012, Journal of magnetic resonance.