Generalizable Inter-Institutional Classification of Abnormal Chest Radiographs Using Efficient Convolutional Neural Networks. - Ian Pan; Saurabh Agarwal; Derek Merck (J. Digit. Imaging, 2019)

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 002; Lisa H. Merck; Derek Merck (CoRR, 2020)

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; et al. (J. Digit. Imaging, 2021)

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; et al. (CoRR, 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)

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; et al. (Patterns, 2023)