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07/14/2023
ConTrack: Contextual Transformer for Device Tracking in X-ray
Device tracking is an important prerequisite for guidance during endovas...
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01/04/2022
Self-supervised Learning from 100 Million Medical Images
Building accurate and robust artificial intelligence systems for medical...
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08/13/2020
Automated detection and quantification of COVID-19 airspace disease on chest radiographs: A novel approach achieving radiologist-level performance using a CNN trained on digita
Purpose: To leverage volumetric quantification of airspace disease (AD) ...
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07/08/2020
Quantifying and Leveraging Predictive Uncertainty for Medical Image Assessment
The interpretation of medical images is a challenging task, often compli...
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03/08/2020
No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting with Adversarial Attacks
Detecting malignant pulmonary nodules at an early stage can allow medica...
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06/18/2019
Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment
The interpretation of chest radiographs is an essential task for the det...
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05/15/2019