activity
20162026
most citedConvolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation

821 citations · 1.6k across the 34 of their papers we have counts for

collaborators

36 papers

q-bio.QM2026

Representation learning of human cortical folding to reveal long lasting neurodevelopmental signatures

Julien Laval, Robin Guiavarch, Antoine Dufournet +24

The human brain folds in utero, primarily during late gestation. Shortly after birth, cortical folding patterns are established and remain stable thereafter, making them promising…

cs.CV2025★ 2 cited

False Promises in Medical Imaging AI? Assessing Validity of Outperformance Claims

Evangelia Christodoulou, Annika Reinke, Pascaline Andrè +23

Performance comparisons are fundamental in medical imaging Artificial Intelligence (AI) research, often driving claims of superiority based on relative improvements in common perfo…

eess.IV2024★ 5 cited

SMILE-UHURA Challenge -- Small Vessel Segmentation at Mesoscopic Scale from Ultra-High Resolution 7T Magnetic Resonance Angiograms

Soumick Chatterjee, Hendrik Mattern, Marc Dörner +45

The human brain receives nutrients and oxygen through an intricate network of blood vessels. Pathology affecting small vessels, at the mesoscopic scale, represents a critical vulne…

cs.CV2024

Confidence intervals uncovered: Are we ready for real-world medical imaging AI?

Evangelia Christodoulou, Annika Reinke, Rola Houhou +19

Medical imaging is spearheading the AI transformation of healthcare. Performance reporting is key to determine which methods should be translated into clinical practice. Frequently…

eess.IV2024★ 2 cited

Automatic rating of incomplete hippocampal inversions evaluated across multiple cohorts

Lisa Hemforth, Baptiste Couvy-Duchesne, Kevin De Matos +34

Incomplete Hippocampal Inversion (IHI), sometimes called hippocampal malrotation, is an atypical anatomical pattern of the hippocampus found in about 20% of the general population.…

eess.IV2024★ 2 cited

Automated MRI Quality Assessment of Brain T1-weighted MRI in Clinical Data Warehouses: A Transfer Learning Approach Relying on Artefact Simulation

Sophie Loizillon, Simona Bottani, Stéphane Mabille +6

The emergence of clinical data warehouses (CDWs), which contain the medical data of millions of patients, has paved the way for vast data sharing for research. The quality of MRIs…