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Jonathan K. Su

Massachusetts Institute of Technology · US
🔎 Find collaborators in Computer Vision and Pattern Recognition · Epidemiology →
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Area of research
Computer Vision and Pattern Recognition · Epidemiology
Research interest
Research interests include Interpretability, Artificial intelligence, Computer science, Image (mathematics), Deep learning, and Cardiac resynchronization therapy.
h-index
—
citations
251
works
2
NIH funding
—
primary concept
—
email
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Recent publications

Conduction System Pacing Versus Conventional Cardiac Resynchronization Therapy in Congenital Heart Disease
JACC. Clinical electrophysiology 2022cited by 47position: middledoi
This Looks Like That: Deep Learning for Interpretable Image Recognition
Neural Information Processing Systems 2019cited by 204position: last

Grants

No grants ingested yet.

Frequent collaborators

Óscar Cano · Hospital Universitari i Politècnic La Fe1 papers (2022–2022)— · 1 papers (2019–2019)Daniel Cortez · University of Colorado Denver1 papers (2022–2022)Jens Cosedis Nielsen · Aarhus University1 papers (2022–2022)Tom Wong · Guy's and St Thomas' NHS Foundation Trust1 papers (2022–2022)Kevin Shannon · City College of San Francisco1 papers (2022–2022)Malini Madhavan · Texas Children's Hospital1 papers (2022–2022)Austin Burrows · University of California, San Francisco1 papers (2022–2022)Anne M. Dubin · Palo Alto University1 papers (2022–2022)Cynthia Rudin · Duke University1 papers (2019–2019)Natasja M.S. de Groot · Radboud University Nijmegen1 papers (2022–2022)— · 1 papers (2022–2022)Paul Khairy · Health Innovations (United States)1 papers (2022–2022)Jeremy P. Moore · University of California, Los Angeles1 papers (2022–2022)Maully J. Shah · California University of Pennsylvania1 papers (2022–2022)Richard J. Czosek · Cleveland Clinic1 papers (2022–2022)Reinder Evertz · University of Sheffield1 papers (2022–2022)Xiaohui Tao · University of Queensland1 papers (2019–2019)Oscar Li · Princeton University1 papers (2019–2019)Philip M. Chang · University of Florida Health1 papers (2022–2022)
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