Quantitative vessel tortuosity radiomics on baseline non-contrast lung CT predict response to immunotherapy and are prognostic of overall survival. - Mehdi Alilou; Pranjal Vaidya; Mohammadhadi Khorrami; Alexia Zagouras; Pradnya Patil; Kaustav Bera; Pingfu Fu; Vamsidhar Velcheti; Anant Madabhushi (Computer-Aided Diagnosis, 2019)

A combination of intra- and peritumoral features on baseline CT scans is associated with overall survival in non-small cell lung cancer patients treated with immune checkpoint inhibitors: a multi-agent multi-site study. - Mohammadhadi Khorrami; Mehdi Alilou; Prateek Prasanna; Pradnya Patil; Pirya Velu; Kaustav Bera; Pingfu Fu; Vamsidhar Velcheti; Anant Madabhushi (Computer-Aided Diagnosis, 2019)

Computer extracted features related to the spatial arrangement of tumor-infiltrating lymphocytes predict overall survival in epithelial ovarian cancer receiving adjuvant chemotherapy. - Sepideh Azarianpour; Germán Corredor; Kaustav Bera; Patrick Leo; Nathaniel Braman; Pingfu Fu; Haider Mahdi; Anant Madabhushi (Digital Pathology, 2020)

Deep learning-based prediction of response to HER2-targeted neoadjuvant chemotherapy from pre-treatment dynamic breast MRI: A multi-institutional validation study. - Nathaniel Braman; Mohammed El Adoui; Manasa Vulchi; Paulette Turk; Maryam Etesami; Pingfu Fu; Kaustav Bera; Stylianos Drisis; Vinay Varadan; Donna Plecha; Mohammed Benjelloun; Jame Abraham; et al. (CoRR, 2020)

LuMiRa: An Integrated Lung Deformation Atlas and 3D-CNN Model of Infiltrates for COVID-19 Prognosis. - Amogh Hiremath; Lei Yuan; Rakesh Shiradkar; Kaustav Bera; Vidya Sankar Viswanathan; Pranjal Vaidya; Jennifer Furin; Keith Armitage; Robert Gilkeson; Mengyao Ji; Pingfu Fu; Amit Gupta; et al. (MICCAI (7), 2021)

Integrated Clinical and CT Based Artificial Intelligence Nomogram for Predicting Severity and Need for Ventilator Support in COVID-19 Patients: A Multi-Site Study. - Amogh Hiremath; Kaustav Bera; Lei Yuan; Pranjal Vaidya; Mehdi Alilou; Jennifer Furin; Keith Armitage; Robert Gilkeson; Mengyao Ji; Pingfu Fu; Amit Gupta; Cheng Lu 001; et al. (IEEE J. Biomed. Health Informatics, 2021)

Computer extracted features of tumor-infiltrating lymphocytes (TILs) architecture are prognostic of progression-free survival in stage III colon cancer. - Aya Aqeel; Germán Corredor; Vidya Sankar Viswanathan; Chuheng Chen; Mogjan Mokhtari; Pingfu Fu; Joseph E. Willis; Anant Madabhushi (Digital and Computational Pathology, 2022)

Quantitative histomorphometric features of tumor nuclei are prognostic of disease-free survival in papillary thyroid carcinoma. - Shayan Monabbati; Paula Toro; Kaustav Bera; Pingfu Fu; Sylvia A. Lou; Anant Madabhushi (Digital and Computational Pathology, 2022)

Novel Radiomic Measurements of Tumor- Associated Vasculature Morphology on Clinical Imaging as a Biomarker of Treatment Response in Multiple Cancers. - Nathaniel Braman; Prateek Prasanna; Kaustav Bera; Mehdi Alilou; Mohammadhadi Khorrami; Patrick Leo; Maryam Etesami; Manasa Vulchi; Paulette Turk; Amit Gupta; Prantesh Jain; Pingfu Fu; et al. (CoRR, 2022)

STAR-Echo: A Novel Biomarker for Prognosis of MACE in Chronic Kidney Disease Patients Using Spatiotemporal Analysis and Transformer-Based Radiomics Models. - Rohan Dhamdhere; Gourav Modanwal; Mohamed H. E. Makhlouf; Neda Shafiabadi Hassani; Satvika Bharadwaj; Pingfu Fu; Ioannis Milioglou; Mahboob Rahman; Sadeer Al-Kindi; Anant Madabhushi (MICCAI (6), 2023)

A pathomic study for risk stratification and unraveling molecular associations of different histologic subtypes of papillary thyroid cancer. - Shayan Monabbati; Sirvan Khalighi; Pingfu Fu; Sylvia Asa; Anant Madabhushi (Digital and Computational Pathology, 2023)

Enhancing cardiovascular risk prediction through AI-enabled calcium-omics. - Ammar Hoori; Sadeer Al-Kindi; Tao Hu; Yingnan Song; Hao Wu 068; Juhwan Lee; Nour Tashtish; Pingfu Fu; Robert Gilkeson; Sanjay Rajagopalan; David L. Wilson (CoRR, 2023)

Deep learning reveals lung shape differences on baseline chest CT between mild and severe COVID-19: A multi-site retrospective study. - Amogh Hiremath; Vidya Sankar Viswanathan; Kaustav Bera; Rakesh Shiradkar; Lei Yuan; Keith Armitage; Robert Gilkeson; Mengyao Ji; Pingfu Fu; Amit Gupta; Cheng Lu 001; Anant Madabhushi (Comput. Biol. Medicine, 2024)

Rank acquisition impact on radiomics estimation (AсquIRE) in chest CT imaging: A retrospective multi-site, multi-use-case study. - Dmitry Cherezov; Vidya Sankar Viswanathan; Pingfu Fu; Amit Gupta; Anant Madabhushi (Comput. Methods Programs Biomed., 2024)