David A. Mong

According to our database, David A. Mong authored at least 3 papers between 2017 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2019

Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification.

Imon Banerjee, Yuan Ling, Matthew C. Chen, Sadid A. Hasan, Curtis P. Langlotz, Nathaniel Moradzadeh, Brian E. Chapman, Timothy Amrhein, David A. Mong, Daniel L. Rubin, Oladimeji Farri, Matthew P. Lungren

Artif. Intell. Medicine, 2019

CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison.

Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Christopher Chute, Henrik Marklund, Behzad Haghgoo, Robyn L. Ball, Katie S. Shpanskaya, Jayne Seekins, David A. Mong, Safwan S. Halabi, Jesse K. Sandberg, Ricky Jones, David B. Larson, Curtis P. Langlotz, Bhavik N. Patel, Matthew P. Lungren, Andrew Y. Ng

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2017

Retrospective 4D MR image construction from free-breathing slice Acquisitions: A novel graph-based approach.

Yubing Tong, Jayaram K. Udupa, Krzysztof Chris Ciesielski, Caiyun Wu, Joseph M. McDonough, David A. Mong, Robert M. Campbell Jr.

Medical Image Anal., 2017