David Eng

Publication Activity (10 Years)

Years Active: 2002-2023
Publications (10 Years): 6

Top Topics

Rendered Images

Top Venues

npj Digit. Medicine

Publications

Rohan Shad, Cyril Zakka, Dhamanpreet Kaur, Robyn Fong, Ross Warren Filice, John Mongan, Kimberly Kallianos, Nishith Khandwala, David Eng, Matthew Leipzig, Walter Witschey, Alejandro de Feria, Victor Ferrari, Euan A. Ashley, Michael A. Acker, Curtis P. Langlotz, William Hiesinger
A Generalizable Deep Learning System for Cardiac MRI. CoRR (2023)
David Eng, Chris Chute, Nishith Khandwala, Pranav Rajpurkar, Jin Long, Sam Shleifer, Mohamed H. Khalaf, Alexander T. Sandhu, Fátima Rodriguez, David J. Maron, Saeed Seyyedi, Daniele Marin, Ilana Golub, Matthew J. Budoff, Felipe Kitamura, Marcelo Straus Takahashi, Ross W. Filice, Rajesh Shah, John Mongan, Kimberly Kallianos, Curtis P. Langlotz, Matthew P. Lungren, Andrew Y. Ng, Bhavik N. Patel
Automated coronary calcium scoring using deep learning with multicenter external validation. npj Digit. Medicine 4 (2021)
Jake Sganga, David Eng, Chauncey Graetzel, David B. Camarillo
Deep Learning for Localization in the Lung. CoRR (2019)
Jake Sganga, David Eng, Chauncey Graetzel, David B. Camarillo
Autonomous Driving in the Lung using Deep Learning for Localization. CoRR (2019)
Jake Sganga, David Eng, Chauncey Graetzel, David B. Camarillo
OffsetNet: Deep Learning for Localization in the Lung using Rendered Images. ICRA (2019)
Jake Sganga, David Eng, Chauncey Graetzel, David B. Camarillo
OffsetNet: Deep Learning for Localization in the Lung using Rendered Images. CoRR (2018)
David Eng
Combining static and dynamic data in code visualization. PASTE (2002)
Rhodes Brown, Karel Driesen, David Eng, Laurie J. Hendren, John Jorgensen, Clark Verbrugge, Qin Wang
STEP: a framework for the efficient encoding of general trace data. PASTE (2002)