3 papers
eess.IV2025
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…
cs.CV2025
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…
eess.IV2025
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…