1 citations · 2 across the 5 of their papers we have counts for
5 papers
Disentangled Shared Representations Improve Morpho-Transcriptomic Integration
Julian Ostermaier, Swann Ruyter, Reuben Dorent +1
Spatial transcriptomics (ST) enables the simultaneous profiling of gene expression and tissue morphology, creating an opportunity to learn multimodal representations capturing shar…
ADNP-15: An Open-Source Histopathological Dataset for Neuritic Plaque Segmentation in Human Brain Whole Slide Images with Frequency Domain Image Enhancement for Stain Normalization
Chenxi Zhao, Jianqiang Li, Qing Zhao +7
Alzheimer's Disease (AD) is a neurodegenerative disorder characterized by amyloid-beta plaques and tau neurofibrillary tangles, which serve as key histopathological features. The i…
Performance Estimation for Supervised Medical Image Segmentation Models on Unlabeled Data Using UniverSeg
Jingchen Zou, Jianqiang Li, Gabriel Jimenez +5
The performance of medical image segmentation models is usually evaluated using metrics like the Dice score and Hausdorff distance, which compare predicted masks to ground truth an…
Scalable, Trustworthy Generative Model for Virtual Multi-Staining from H&E Whole Slide Images
Mehdi Ounissi, Ilias Sarbout, Jean-Pierre Hugot +3
Chemical staining methods are dependable but require extensive time, expensive chemicals, and raise environmental concerns. These challenges highlight the need for alternative solu…
Graph Theory and GNNs to Unravel the Topographical Organization of Brain Lesions in Variants of Alzheimer's Disease Progression
Gabriel Jimenez, Leopold Hebert-Stevens, Benoit Delatour +2
In this study, we proposed and evaluated a graph-based framework to assess variations in Alzheimer's disease (AD) neuropathologies, focusing on classic (cAD) and rapid (rpAD) progr…