A GPU-based symmetric non-rigid image registration method in human lung. - Babak Haghighi; Nathan D. Ellingwood; Youbing Yin; Eric A. Hoffman; Ching-Long Lin (Medical Biol. Eng. Comput., 2018)

Assessment of CT image reconstruction parameters on radiomic features in a lung cancer screening cohort: the PROSPR study. - Babak Haghighi; Peter B. Noël; Eric A. Cohen; Lauren Pantalone; Anil Vachani; Katharine A. Rendle; Jocelyn Wainwright; Chelsea Saia; Eduardo Jose Mortani Barbosa Jr.; Despina Kontos (Computer-Aided Diagnosis, 2020)

Radiomic features predict local failure-free survival in stage III NSCLC adenocarcinoma treated with chemoradiation. - José Marcio Luna; Andrew R. Barsky; Russell T. Shinohara; Alexandra D. Dreyfuss; Leonid Roshkovan; Michelle Hershman; Babak Haghighi; Bardia Yousefi; Peter B. Noël; Keith A. Cengel; Sharyn Katz; Eric S. Diffenderfer; et al. (Computer-Aided Diagnosis, 2021)

GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical Imaging. - Sarthak Pati; Siddhesh P. Thakur; Megh Bhalerao; Ujjwal Baid; Caleb M. Grenko; Brandon Edwards; Micah J. Sheller; Jose Agraz; Bhakti Baheti; Vishnu Bashyam; Parth Sharma; Babak Haghighi; et al. (CoRR, 2021)

Iterative ComBat methods for harmonization of radiomic features. - Hannah Horng; Apurva Singh; Bardia Yousefi; Eric A. Cohen; Babak Haghighi; Sharyn Katz; Peter B. Noël; Russell T. Shinohara; Despina Kontos (Computer-Aided Diagnosis, 2022)

Quantitative CT texture-based method to predict diagnosis and prognosis of fibrosing interstitial lung disease patterns. - Babak Haghighi; Warren B. Gefter; Lauren Pantalone; Despina Kontos; Eduardo Jose Mortani Barbosa Jr. (CoRR, 2022)