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Ilaria Ricchi

Showing results (1-10 of 10) with videos related to

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Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
Lumbosacral spinal cord functional connectivity at rest: From feasibility to reliabilityIlaria Ricchi, Nawal Kinany, Dimitri Van De Ville
Neuroimage|February 27, 2022
Dynamics of functional network organization through graph mixture learningIlaria Ricchi, Anjali Tarun, Hermina Petric Maretic, et al.
Journal of Alzheimer'S Disease : JAD|May 13, 2025
The complementary role of automated brain volumetry to stratify ADNI participants within the ATN frameworkIlaria Ricchi, Alessandra Griffa, Ricardo Corredor-Jerez, et al.
Biorxiv : the Preprint Server for Biology|June 12, 2025
Spine-Prints: Transposing Brain Fingerprints to the Spinal CordIlaria Ricchi, Andrea Santoro, Nawal Kinany, et al.
Imaging Neuroscience (Cambridge, Mass.)|February 12, 2026
Spine-prints: Transposing brain fingerprints to the spinal cordIlaria Ricchi, Andrea Santoro, Nawal Kinany, et al.
Nature|January 11, 2023
Publisher Correction: Structured cerebellar connectivity supports resilient pattern separationTri M Nguyen, Logan A Thomas, Jeff L Rhoades, et al.
Nature|November 23, 2022
Structured cerebellar connectivity supports resilient pattern separationTri M Nguyen, Logan A Thomas, Jeff L Rhoades, et al.
Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
Towards personalized mapping through lumbosacral spinal cord task fMRISergio Daniel Hernandez-Charpak, Nawal Kinany, Ilaria Ricchi, et al.
Arxiv|July 30, 2025
Monitoring morphometric drift in lifelong learning segmentation of the spinal cordEnamundram Naga Karthik, Sandrine Bédard, Jan Valošek, et al.
Imaging Neuroscience (Cambridge, Mass.)|January 26, 2026
Monitoring morphometric drift in lifelong learning segmentation of the spinal cordEnamundram Naga Karthik, Sandrine Bédard, Jan Valošek, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
Lumbosacral spinal cord functional connectivity at rest: From feasibility to reliabilityIlaria Ricchi, Nawal Kinany, Dimitri Van De Ville
Neuroimage|February 27, 2022
Dynamics of functional network organization through graph mixture learningIlaria Ricchi, Anjali Tarun, Hermina Petric Maretic, et al.
Journal of Alzheimer'S Disease : JAD|May 13, 2025
The complementary role of automated brain volumetry to stratify ADNI participants within the ATN frameworkIlaria Ricchi, Alessandra Griffa, Ricardo Corredor-Jerez, et al.
Biorxiv : the Preprint Server for Biology|June 12, 2025
Spine-Prints: Transposing Brain Fingerprints to the Spinal CordIlaria Ricchi, Andrea Santoro, Nawal Kinany, et al.
Imaging Neuroscience (Cambridge, Mass.)|February 12, 2026
Spine-prints: Transposing brain fingerprints to the spinal cordIlaria Ricchi, Andrea Santoro, Nawal Kinany, et al.
Nature|January 11, 2023
Publisher Correction: Structured cerebellar connectivity supports resilient pattern separationTri M Nguyen, Logan A Thomas, Jeff L Rhoades, et al.
Nature|November 23, 2022
Structured cerebellar connectivity supports resilient pattern separationTri M Nguyen, Logan A Thomas, Jeff L Rhoades, et al.
Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
Towards personalized mapping through lumbosacral spinal cord task fMRISergio Daniel Hernandez-Charpak, Nawal Kinany, Ilaria Ricchi, et al.
Arxiv|July 30, 2025
Monitoring morphometric drift in lifelong learning segmentation of the spinal cordEnamundram Naga Karthik, Sandrine Bédard, Jan Valošek, et al.
Imaging Neuroscience (Cambridge, Mass.)|January 26, 2026
Monitoring morphometric drift in lifelong learning segmentation of the spinal cordEnamundram Naga Karthik, Sandrine Bédard, Jan Valošek, et al.
Pageof 1