An investigation of pruning's impact on long-tailed, multi-label medical image classifiers.
IEEE ISBI 2023
Parameter-efficient multimodal learning of histopathology imaging and clinical risk factors for improved prostate cancer classification.
MICCAI Workshop on Data Augmentation, Labelling, and Imperfections 2022 [Oral]
A large-scale benchmark for long-tailed learning of chest X-rays.
SPIE Medical Imaging 2022
Domain knowledge-guided method for improved rib fracture localization.
CVAMD 2021 (ICCV Workshop)
Methods for jointly learning from breast imaging and tabular non-image data to predict breast cancer.
SPIE Medical Imaging 2020
Segmentation methods for localizing "lines" (catheters, tubes, etc.) in pediatric chest radiographs.
SPIE Medical Imaging 2020 [Oral]
Automatic anatomic segmentation of pediatric chest radiographs under severe class imbalance.