Ian Pan

According to our database, Ian Pan authored at least 6 papers between 2019 and 2023.

Collaborative distances:

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

2023

Evaluating progress in automatic chest X-ray radiology report generation.

Feiyang Yu, Mark Endo, Rayan Krishnan, Ian Pan, Andy Tsai, Eduardo Pontes Reis, Eduardo Kaiser Ururahy Nunes Fonseca, Henrique Min Ho Lee, Zahra Shakeri Hossein Abad, Andrew Y. Ng, Curtis P. Langlotz, Vasantha Kumar Venugopal, Pranav Rajpurkar

Patterns, September, 2023

2022

Federated Deep Learning to More Reliably Detect Body Part for Hanging Protocols, Relevant Priors, and Workflow Optimization.

Ross W. Filice, Anouk Stein, Ian Pan, George Shih

J. Digit. Imaging, 2022

Best Practices and Scoring System on Reviewing A.I. based Medical Imaging Papers: Part 1 Classification.

Timothy L. Kline, Felipe Kitamura, Ian Pan, Amine M. Korchi, Neil A. Tenenholtz, Linda Moy, Judy Wawira Gichoya, Igor Santos, Steven Blumer, Misha Ysabel Hwang, Kim-Ann Git, Abishek Shroff, Elad Walach, George Shih, Steve Langer

CoRR, 2022

2021

DICOM Image ANalysis and Archive (DIANA): an Open-Source System for Clinical AI Applications.

Thomas Yi, Ian Pan, Scott Collins, Fiona Chen, Robert Cueto, Ben Hsieh, Celina Hsieh, Jessica L. Smith, Li Yang, Wei-hua Liao, Lisa H. Merck, Harrison X. Bai, Derek Merck

J. Digit. Imaging, 2021

2020

A comparative study of 2D image segmentation algorithms for traumatic brain lesions using CT data from the ProTECTIII multicenter clinical trial.

Shruti Jadon, Owen P. Leary, Ian Pan, Tyler J. Harder, David W. Wright, Lisa H. Merck, Derek Merck

CoRR, 2020

2019

Generalizable Inter-Institutional Classification of Abnormal Chest Radiographs Using Efficient Convolutional Neural Networks.

Ian Pan, Saurabh Agarwal, Derek Merck

J. Digit. Imaging, 2019