3 citations · 3 across the 8 of their papers we have counts for
9 papers
Slide-Level Active Learning Reduces Annotation Burden in H&E images
Mahsa Vali, Zhilong Weng, Noémie Moreaua +2
Deep learning-based segmentation of histopathology whole-slide images (WSIs) requires large amounts of pixel-level annotations, which are costly and time-consuming to obtain. Activ…
Characterization of DLBCL cell of origin-phenotypes based on tumor microenvironment features
Stefano Ugliano, Martim Dias Gomes, Noémie Moreau +7
Diffuse large B-cell lymphoma (DLBCL) is an aggressive form of non-Hodgkin lymphoma with a high recurrence rate. The molecular profiling of DLBCL tumors culminated in several immun…
Understanding Cell Fate Decisions with Temporal Attention
Florian Bürger, Martim Dias Gomes, Adrián E. Granada +2
Understanding non-genetic determinants of cell fate is critical for developing and improving cancer therapies, as genetically identical cells can exhibit divergent outcomes under t…
Self-Supervised ImageNet Representations for In Vivo Confocal Microscopy: Tortuosity Grading without Segmentation Maps
Kim Ouan, Noémie Moreau, Katarzyna Bozek
The tortuosity of corneal nerve fibers are used as indication for different diseases. Current state-of-the-art methods for grading the tortuosity heavily rely on expensive segmenta…
Context-aware Skin Cancer Epithelial Cell Classification with Scalable Graph Transformers
Lucas Sancéré, Noémie Moreau, Katarzyna Bozek
Whole-slide images (WSIs) from cancer patients contain rich information that can be used for medical diagnosis or to follow treatment progress. To automate their analysis, numerous…
AMAP-APP: Efficient Segmentation and Morphometry Quantification of Fluorescent Microscopy Images of Podocytes
Arash Fatehi, David Unnersjö-Jess, Linus Butt +3
Background: Automated podocyte foot process quantification is vital for kidney research, but the established "Automatic Morphological Analysis of Podocytes" (AMAP) method is hinder…
TransientTrack: Advanced Multi-Object Tracking and Classification of Cancer Cells with Transient Fluorescent Signals
Florian Bürger, Martim Dias Gomes, Nica Gutu +3
Tracking cells in time-lapse videos is an essential technique for monitoring cell population dynamics at a single-cell level. Current methods for cell tracking are developed on vid…
ActiTect: A Generalizable Machine Learning Pipeline for REM Sleep Behavior Disorder Screening through Standardized Actigraphy
David Bertram, Anja Ophey, Sinah Röttgen +18
Isolated rapid eye movement sleep behavior disorder (iRBD) is a major prodromal marker of -synucleinopathies, often preceding the clinical onset of Parkinson's disease, dementia…
KPIs 2024 Challenge: Advancing Glomerular Segmentation from Patch- to Slide-Level
Ruining Deng, Tianyuan Yao, Yucheng Tang +44
Chronic kidney disease (CKD) is a major global health issue, affecting over 10% of the population and causing significant mortality. While kidney biopsy remains the gold standard f…