Chris Chute
Publications by Year
Research Areas
Venous Thromboembolism Diagnosis and Management, Health, Environment, Cognitive Aging, Lung Cancer Diagnosis and Treatment, Reinforcement Learning in Robotics, Multimodal Machine Learning Applications
Most-Cited Works
- → CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison(2019)391 cited
- → Deep Learning–Assisted Diagnosis of Cerebral Aneurysms Using the HeadXNet Model(2019)257 cited
- → PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging(2020)177 cited
- → AppendiXNet: Deep Learning for Diagnosis of Appendicitis from A Small Dataset of CT Exams Using Video Pretraining(2020)129 cited
- → CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and\n Expert Comparison(2019)28 cited
- → When Participants in Genomic Research Grow Up: Contact and Consent at the Age of Majority(2015)16 cited
- → The National COVID Cohort Collaborative (N3C): Rationale, Design, Infrastructure, and Deployment(2020)16 cited
- → PENet - A Scalable Deep-Learning Model for Automated Diagnosis of Pulmonary Embolism Using Volumetric CT Imaging(2019)15 cited
- → Author Correction: PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging(2020)11 cited
- LexValueSets: an approach for context-driven value sets extraction.(2008)