4 papers
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…
Encoding of Demographic and Anatomical Information in Chest X-Ray-based Severe Left Ventricular Hypertrophy Classifiers
Basudha Pal, Rama Chellappa, Muhammad Umair
While echocardiography and MRI are clinical standards for evaluating cardiac structure, their use is limited by cost and accessibility.We introduce a direct classification framewor…
A Quantitative Evaluation of the Expressivity of BMI, Pose and Gender in Body Embeddings for Recognition and Identification
Basudha Pal, Siyuan Huang, Rama Chellappa
Person Re-identification (ReID) systems that match individuals across images or video frames are essential in many real-world applications. However, existing methods are often infl…
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…