Publications

Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling

npj Digital Medicine
Automated eye disease prognosis by survival analysis from longitudinal medical imaging.
PDF Code Source Document
Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling

Efficient deep learning-based automated diagnosis from echocardiography with contrastive self-supervised learning

Communications Medicine
EchoCLR, a label-efficient self-supervised learning method for echocardiography.
PDF Code Poster Source Document
Efficient deep learning-based automated diagnosis from echocardiography with contrastive self-supervised learning

Artificial intelligence-guided detection of under-recognized cardiomyopathies on point-of-care cardiac ultrasound: a multi-center study

medRxiv preprint
Automated cardiomyopathy detection in point-of-care ultrasonography (POCUS).
PDF Source Document
Artificial intelligence-guided detection of under-recognized cardiomyopathies on point-of-care cardiac ultrasound: a multi-center study

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

Medical Image Analysis
Overview of the CXR-LT challenge on long-tailed, multi-label disease classification from chest X-ray.
PDF Dataset Project Source Document
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge

High sensitivity methods for automated rib fracture detection in pediatric radiographs

Scientific Reports
Ensemble methods for automated pediatric rib fracture detection on chest X-ray.
PDF Source Document
High sensitivity methods for automated rib fracture detection in pediatric radiographs

A Multimodal Video-Based AI Biomarker for Aortic Stenosis Development and Progression

JAMA Cardiology
An AI biomarker for aortic stenosis (AS) progression based on echocardiography.
PDF Source Document
A Multimodal Video-Based AI Biomarker for Aortic Stenosis Development and Progression

Deep Rib Fracture Instance Segmentation and Classification from CT on the RibFrac Challenge

arXiv preprint
Overview of the MICCAI 2020 RibFrac Challenge.
PDF Project Source Document
Deep Rib Fracture Instance Segmentation and Classification from CT on the RibFrac Challenge

Improving Fairness of Automated Chest X-ray Diagnosis by Contrastive Learning

arXiv preprint
Contrastive learning method for improved fairness in automated chest X-ray classification.
PDF Source Document
Improving Fairness of Automated Chest X-ray Diagnosis by Contrastive Learning

Biometric contrastive learning for data-efficient deep learning from electrocardiographic images

Journal of the American Medical Informatics Association
Label-efficient electrocardiogram (ECG) image classification with contrastive learning.
PDF Source Document
Biometric contrastive learning for data-efficient deep learning from electrocardiographic images

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.
PDF Code
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

Avalanche decision schemes to improve pediatric rib fracture detection

SPIE Medical Imaging 2022
Domain knowledge-guided method for improved rib fracture localization.
PDF

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