output
20102025
most citedBrain covariance selection: better individual functional connectivity models using population prior

166 citations

21 papers

q-bio.TO2025★ 1 cited

Segmentation of spinal rootlets across MRI contrasts with RootletSeg

Katerina Krejci, Jiri Chmelik, Sandrine Bedard +5

Purpose: To develop a deep learning method for the automatic segmentation of spinal nerve rootlets on various MRI scans. Material and Methods: This retrospective study included MRI…

cond-mat.dis-nn2023

Multifractality in critical neural field dynamics

Merlin Dumeur, Sheng H. Wang, J. Matias Palva +1

The brain criticality hypothesis has largely only characterized brain dynamics in terms of their self-similarity, although experimental evidence suggests that the brain exhibits si…

physics.ins-det2023★ 5 cited

Deep Learning reconstruction with uncertainty estimation for photon interaction in fast scintillator detectors

Geoffrey Daniel, Mohamed Bahi Yahiaoui, Claude Comtat +7

This article presents a physics-informed deep learning method for the quantitative estimation of the spatial coordinates of gamma interactions within a monolithic scintillator, wit…

eess.IV2023★ 1 cited

Convergent ADMM Plug and Play PET Image Reconstruction

Florent Sureau, Mahdi Latreche, Marion Savanier +1

In this work, we investigate hybrid PET reconstruction algorithms based on coupling a model-based variational reconstruction and the application of a separately learnt Deep Neural…

cs.LG2023★ 11 cited

Fed-BioMed: Open, Transparent and Trusted Federated Learning for Real-world Healthcare Applications

Francesco Cremonesi, Marc Vesin, Sergen Cansiz +16

The real-world implementation of federated learning is complex and requires research and development actions at the crossroad between different domains ranging from data science, t…

physics.ins-det2022★ 1 cited

Electro-purification studies and first measurement of relative permittivity of TMBi

S. Peters, B. Gerke, V. Hannen +6

A new type of detector for positron-emission tomography (PET) has been proposed recently, using a heavy organo-metallic liquid - TriMethyl Bismuth (TMBi) - as target material. TMBi…