Publications

Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge

arXiv preprint
Overview of the CXR-LT challenge on long-tailed, multi-label disease classification from chest X-ray.
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Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge

Improving model fairness in image-based computer-aided diagnosis

Nature Communications
A novel loss function for improved group fairness in chest X-ray classification.
Poster Source Document
Improving model fairness in image-based computer-aided diagnosis

Severe aortic stenosis detection by deep learning applied to echocardiography

European Heart Journal
Accurate and generalizable detection of severe aortic stenosis based on single-view echocardiography.
Code Source Document
Severe aortic stenosis detection by deep learning applied to echocardiography

How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers?

MICCAI 2023
An investigation of pruning’s impact on long-tailed, multi-label medical image classifiers.
PDF Code Poster Source Document
How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers?

Improved Multimodal Fusion for Small Datasets with Auxiliary Supervision

IEEE ISBI 2023
Parameter-efficient multimodal learning of histopathology imaging and clinical risk factors for improved prostate cancer classification.
PDF Poster Source Document
Improved Multimodal Fusion for Small Datasets with Auxiliary Supervision

Radiomics-Guided Global-Local Transformer for Weakly Supervised Pathology Localization in Chest X-Rays

IEEE Transactions on Medical Imaging
A Transformer for weakly supervised disease localization that uses a novel feedback loop between (local) radiomics features and (global) chest X-ray features.
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Radiomics-Guided Global-Local Transformer for Weakly Supervised Pathology Localization in Chest X-Rays

Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study

MICCAI Workshop on Data Augmentation, Labelling, and Imperfections 2022 [Oral]
A large-scale benchmark for long-tailed learning of chest X-rays.
PDF Code Video Source Document

Self-Supervised Learning of Echocardiogram Videos Enables Data-Efficient Clinical Diagnosis

arXiv Preprint
Self-supervised learning method for echocardiogram videos drives label-efficient fine-tuning on aortic stenosis classification. Presented at IMLH 2022, an ICML workshop.
PDF Code Poster
Self-Supervised Learning of Echocardiogram Videos Enables Data-Efficient Clinical Diagnosis

Avalanche decision schemes to improve pediatric rib fracture detection

SPIE Medical Imaging 2022
Domain knowledge-guided method for improved rib fracture localization.
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End-to-End Learning of Fused Image and Non-Image Features for Improved Breast Cancer Classification from MRI

CVAMD 2021 (ICCV Workshop)
Methods for jointly learning from breast imaging and tabular non-image data to predict breast cancer.
PDF Code Poster
End-to-End Learning of Fused Image and Non-Image Features for Improved Breast Cancer Classification from MRI

Deep learning methods for segmentation of lines in pediatric chest radiographs

SPIE Medical Imaging 2020
Segmentation methods for localizing “lines” (catheters, tubes, etc.) in pediatric chest radiographs.
PDF
Deep learning methods for segmentation of lines in pediatric chest radiographs

Multi-class semantic segmentation of pediatric chest radiographs

SPIE Medical Imaging 2020 [Oral]
Automatic anatomic segmentation of pediatric chest radiographs under severe class imbalance.
PDF
Multi-class semantic segmentation of pediatric chest radiographs