3 papers
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…
eess.IV2025
SwinVFTR: A Novel Volumetric Feature-learning Transformer for 3D OCT Fluid Segmentation
Khondker Fariha Hossain, Sharif Amit Kamran, Alireza Tavakkoli +2
Accurately segmenting fluid in 3D optical coherence tomography (OCT) images is critical for detecting eye diseases but remains challenging. Traditional autoencoder-based methods st…