output
20082026
most citedA review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises

1.1k citations

Showing 2022Show all

5 papers · 1 filter

eess.IV2022★ 103 cited

ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans

Audrey Duran, Gaspard Dussert, Olivier Rouvière +3

Multiparametric magnetic resonance imaging (mp-MRI) has shown excellent results in the detection of prostate cancer (PCa). However, characterizing prostate lesions aggressiveness i…

q-bio.NC2022★ 7 cited

Time-frequency analysis of event-related brain recordings: Connecting power of evoked potential and inter-trial coherence

Jonas Benhamou, Michel Le Van Quyen, Guillaume Marrelec

Objective. In neuroscience, time-frequency analysis has been used to get insight into brain rhythms from brain recordings. In event-related protocols, one applies it to investigate…

eess.IV2022★ 1 cited

Learning to segment prostate cancer by aggressiveness from scribbles in bi-parametric MRI

Audrey Duran, Gaspard Dussert, Carole Lartizien

In this work, we propose a deep U-Net based model to tackle the challenging task of prostate cancer segmentation by aggressiveness in MRI based on weak scribble annotations. This m…

cs.SD2022★ 1 cited

Semi-Supervised Convolutive NMF for Automatic Piano Transcription

Haoran Wu, Axel Marmoret, Jérémy E. Cohen

Automatic Music Transcription, which consists in transforming an audio recording of a musical performance into symbolic format, remains a difficult Music Information Retrieval task…

q-bio.NC2022★ 22 cited

Isolated parkinsonism is an atypical presentation of GRN and C9orf72 gene mutations

Fábio Carneiro, Dario Saracino, Vincent Huin +17

Introduction: A phenotype of isolated parkinsonism mimicking Idiopathic Parkinson's Disease (IPD) is a rare clinical presentation of GRN and C9orf72 mutations, the major genetic ca…