5 papers
Fast, Unsupervised Framework for Registration Quality Assessment of Multi-stain Histological Whole Slide Pairs
Shikha Dubey, Patricia Raciti, Kristopher Standish +2
High-fidelity registration of histopathological whole slide images (WSIs), such as hematoxylin & eosin (H&E) and immunohistochemistry (IHC), is vital for integrated molecular analy…
MEGAN: Mixture of Experts for Robust Uncertainty Estimation in Endoscopy Videos
Damola Agbelese, Krishna Chaitanya, Pushpak Pati +11
Reliable uncertainty quantification (UQ) is essential in medical AI. Evidential Deep Learning (EDL) offers a computationally efficient way to quantify model uncertainty alongside p…
GRASP-PsONet: Gradient-based Removal of Spurious Patterns for PsOriasis Severity Classification
Basudha Pal, Sharif Amit Kamran, Brendon Lutnick +8
Psoriasis (PsO) severity scoring is important for clinical trials but is hindered by inter-rater variability and the burden of in person clinical evaluation. Remote imaging using p…
PSO-Net: Development of an automated psoriasis assessment system using attention-based interpretable deep neural networks
Sharif A. Kamran, Molly V. Lucas, Brendon Lutnick +9
Psoriasis is a chronic skin condition that requires long-term treatment and monitoring. Although, the Psoriasis Area and Severity Index (PASI) is utilized as a standard measurement…
Arges: Spatio-Temporal Transformer for Ulcerative Colitis Severity Assessment in Endoscopy Videos
Krishna Chaitanya, Pablo F. Damasceno, Shreyas Fadnavis +9
Accurate assessment of disease severity from endoscopy videos in ulcerative colitis (UC) is crucial for evaluating drug efficacy in clinical trials. Severity is often measured by t…