30 citations · 30 across the 4 of their papers we have counts for
4 papers
Optimization in Sparse 2D to Dense 3D Weakly Supervised Learning: Application to Multi-Label Segmentation of Large ex vivo MRI Data
Paul Hoareau, Kuan Yi Wang, Brandon Bujak +6
INTRODUCTION | Fully supervised 3D segmentation of high-resolution ex vivo MRI is limited by the prohibitive cost of volumetric annotation, forcing reliance on sparse 2D slices. We…
Monitoring morphometric drift in lifelong learning segmentation of the spinal cord
Enamundram Naga Karthik, Sandrine Bédard, Jan Valošek +53
Morphometric measures derived from spinal cord segmentations can serve as diagnostic and prognostic biomarkers in neurological diseases and injuries affecting the spinal cord. Whil…
Towards contrast-agnostic soft segmentation of the spinal cord
Sandrine Bédard, Enamundram Naga Karthik, Charidimos Tsagkas +5
Spinal cord segmentation is clinically relevant and is notably used to compute spinal cord cross-sectional area (CSA) for the diagnosis and monitoring of cord compression or neurod…
Spinal Cord Gray Matter-White Matter Segmentation on Magnetic Resonance AMIRA Images with MD-GRU
Antal Horvath, Charidimos Tsagkas, Simon Andermatt +3
The small butterfly shaped structure of spinal cord (SC) gray matter (GM) is challenging to image and to delinate from its surrounding white matter (WM). Segmenting GM is up to a p…