4 papers
ProtoPointNet: Prototype-Based Interpretable Classification of 3D Dental Point Clouds with Verifiable Spatial Activations
George V. Jose, Thao Liang Chiam, Toby Hughes +4
Prototype-based networks provide inherently interpretable classification by linking predictions to learned exemplars, but their use in 3D point clouds and clinical surface-pair rea…
Neuron Incidence Redistribution for Fairness in Medical Image Classification
Abin Shoby, Lyle John Palmer, Nikhil Cherian Kurian
Deep learning models for medical image classification are susceptible to subgroup performance disparities across demographic attributes such as age, gender, and race. We identify a…
Robust Mitigation of Age-Dependent Confounding Effects via Sample-Difficulty Decorrelation
Nikhil Cherian Kurian, Victor Caquilpan Parra, Abin Shoby +2
Age dependent performance disparities in medical image classification often arise because age acts as a confounder, linking imaging morphology with disease prevalence. In practice,…
Worst-Group Equalized Odds Regularization for Multi-Attribute Fair Medical Image Classification
Nikhil Cherian Kurian, Victor Caquilpan Parra, Abin Shoby +6
Diagnostic performance in medical AI varies systematically across demographic groups, yet subgroup AUC can mask clinically important disparities. At a fixed inference-time operatin…