Safwan Halabi

According to our database, Safwan Halabi authored at least 7 papers between 2016 and 2023.

Collaborative distances:

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

2023

Federated Learning on Heterogenous Data using Chest CT.

Edward H. Lee, Brendan Kelly, Emre Altinmakas, Hakan Dogan, Errol Colak, Steve Fu, Olivia Choudhury, Ujjwal Ratan, Felipe Kitamura, Hernan Chaves, Mourad Said, Eduardo Pontes Reis, Jaekwang Lim, Patricia Yokoo, Corie Mitchell, Jimmy Zheng, Maryam Mohammadzadeh, Golnaz Houshmand, Wendy Qiu, Joel Hayden, Farnaz Rafiee, Chad Klochko, Nicholas Bevins, S. Simon Wong, Safwan Halabi, Kristen W. Yeom

CoRR, 2023

2020

Automatic Extraction of Skeletal Maturity from Whole Body Pediatric Scoliosis X-rays Using Regional Proposal and Compound Scaling Convolutional Neural Networks.

Audrey Ha, John Vorhies, Andrew Campion, Charles X. Fang, Michael Fadell II, Steve Dou, Safwan Halabi, David B. Larson, Emily Wang, YongJin Lee, Joanna Langner, Japsimran Kaur, Bao Do

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

Author Correction: Human-machine partnership with artificial intelligence for chest radiograph diagnosis.

Bhavik N. Patel, Louis B. Rosenberg, Gregg Willcox, David Baltaxe, Mimi Lyons, Jeremy Irvin, Pranav Rajpurkar, Timothy Amrhein, Rajan Gupta, Safwan Halabi, Curtis P. Langlotz, Edward Lo, Joseph Mammarappallil, A. J. Mariano, Geoffrey Riley, Jayne Seekins, Luyao Shen, Evan Zucker, Matthew P. Lungren

npj Digit. Medicine, 2019

Human-machine partnership with artificial intelligence for chest radiograph diagnosis.

Bhavik N. Patel, Louis B. Rosenberg, Gregg Willcox, David Baltaxe, Mimi Lyons, Jeremy Irvin, Pranav Rajpurkar, Timothy Amrhein, Rajan Gupta, Safwan Halabi, Curtis P. Langlotz, Edward Lo, Joseph Mammarappallil, A. J. Mariano, Geoffrey Riley, Jayne Seekins, Luyao Shen, Evan Zucker, Matthew P. Lungren

npj Digit. 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

2018

Deep Learning with Attention to Predict Gestational Age of the Fetal Brain.

Liyue Shen, Katie S. Shpanskaya, Edward H. Lee, Emily McKenna, Maryam Maleki, Quin Lu, Safwan Halabi, John M. Pauly, Kristen W. Yeom

CoRR, 2018

2016

Datafish Multiphase Data Mining Technique to Match Multiple Mutually Inclusive Independent Variables in Large PACS Databases.

Brendan P. Kelley, Chad Klochko, Safwan Halabi, Daniel Siegal

J. Digit. Imaging, 2016