3D Printing-Based Integrated Water Quality Sensing System. - Muinul Banna; Kaustav Bera; Ryan D. Sochol; Liwei Lin; Homayoun Najjaran; Rehan Sadiq; Mina Hoorfar (Sensors, 2017)

Feature Driven Local Cell Graph (FeDeG): Predicting Overall Survival in Early Stage Lung Cancer. - Cheng Lu 001; Xiangxue Wang; Prateek Prasanna; Germán Corredor; Geoffrey Sedor; Kaustav Bera; Vamsidhar Velcheti; Anant Madabhushi (MICCAI (2), 2018)

RaPtomics: integrating radiomic and pathomic features for predicting recurrence in early stage lung cancer. - Pranjal Vaidya; Xiangxue Wang; Kaustav Bera; Arjun Khunger; Humberto Choi; Pradnya Patil; Vamsidhar Velcheti; Anant Madabhushi (Digital Pathology, 2018)

Automated segmentation and radiomic characterization of visceral fat on bowel MRIs for Crohn's disease. - Iulia Barbur; Jacob Kurowski; Kaustav Bera; Rajat Thawani; Jean-Paul Achkar; Claudio Fiocchi; Marsha Kay; Rishi Gupta; Satish Viswanath (Image-Guided Procedures, 2018)

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)

Deformation heterogeneity radiomics to predict molecular subtypes of pediatric Medulloblastoma on routine MRI. - Sukanya Iyer; Marwa Ismail; Benita Tamrazi; Ashley Margol; Ruchika Verma; Ramon Correa; Prateek Prasanna; Niha G. Beig; Kaustav Bera; Volodymyr Statsevych; Alexander R. Judkins; Anant Madabhushi; et al. (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)

Opportunities and Advances in Radiomics and Radiogenomics in Neuro-Oncology. - Kaustav Bera; Niha G. Beig; Pallavi Tiwari (RNO-AI@MICCAI, 2019)

Region-specific fully convolutional networks for segmentation of the rectal wall on post-chemoradiation T2w MRI. - Thomas DeSilvio; Jacob Antunes; Prathyush Chirra; Kaustav Bera; Jay Gollamudi; Raj M. Paspulati; Conor P. Delaney; Satish E. Viswanath (Image-Guided Procedures, 2019)

Integrating radiomic features from T2-weighted and contrast-enhanced MRI to evaluate pathologic rectal tumor regression after chemoradiation. - Siddhartha Nanda; Jacob T. Antunes; Amrish Selvam; Kaustav Bera; Justin T. Brady; Jayakrishna Gollamudi; Kenneth Friedman; Joseph E. Willis; Conor P. Delaney; Raj M. Paspulati; Anant Madabhushi; Satish E. Viswanath (Image-Guided Procedures, 2019)

Radiomic characterization of perirectal fat on MRI enables accurate assessment of tumor regression and lymph node metastasis in rectal cancers after chemoradiation. - Michael C. Yim; Zhouping Wei; Jacob Antunes; Neil K. R. Sehgal; Kaustav Bera; Justin T. Brady; Kenneth Friedman; Joseph E. Willis; Andrei S. Purysko; Raj M. Paspulati; Anant Madabhushi; Satish E. Viswanath (Image-Guided Procedures, 2019)

Multi-site evaluation of stable radiomic features for more accurate evaluation of pathologic downstaging on MRI after chemoradiation for rectal cancers. - Amrish Selvam; Jacob Antunes; Kaustav Bera; Asya Ofshteyn; Justin T. Brady; Katherine Bingmer; Kenneth Friedman; Sharon L. Stein; Rajmohan Paspulati; Andrei S. Purysko; Matthew Kalady; Anant Madabhushi; et al. (Computer-Aided Diagnosis, 2020)

Spatial-And-Context Aware (SpACe) "Virtual Biopsy" Radiogenomic Maps to Target Tumor Mutational Status on Structural MRI. - Marwa Ismail; Ramon Correa; Kaustav Bera; Ruchika Verma; Anas Saeed Bamashmos; Niha G. Beig; Jacob Antunes; Prateek Prasanna; Volodymyr Statsevych; Manmeet Ahluwalia; Pallavi Tiwari (MICCAI (2), 2020)

Computationally derived cytological image markers for predicting risk of relapse in acute myeloid leukemia patients following bone marrow transplantation. - Sara ArabYarmohammadi; Zelin Zhang; Patrick Leo; Marjan Firouznia; Andrew Janowczyk; Haojia Li; Nathaniel M. Braman; Kaustav Bera; Behtash G. Nezami; Howard Meyerson; Jun Xu 005; Leland Metheny; et al. (Digital Pathology, 2020)

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)

Texture features distinguish benign cell clusters from adenocarcinomas on bile duct brushing cytology images. - Shayan Monabbati; Patrick Leo; Kaustav Bera; Behtash G. Nezami; Claire W. Michael; Aparna Harbhajanka; Anant Madabhushi (Digital Pathology, 2020)

Texture kinetic features from pre-treatment DCE MRI for predicting pathologic tumor stage regression after neoadjuvant chemoradiation in rectal cancers. - Siddhartha Nanda; Jacob T. Antunes; Kaustav Bera; Justin T. Brady; Kenneth Friedman; Joseph E. Willis; Raj M. Paspulati; Satish E. Viswanath (Image-Guided Procedures, 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)

Can tumor location on pre-treatment MRI predict likelihood of pseudo-progression versus tumor recurrence in Glioblastoma? A feasibility study. - Marwa Ismail; Virginia B. Hill; Volodymyr Statsevych; Evan Mason; Ramon Correa; Prateek Prasanna; Gagandeep Singh; Kaustav Bera; Rajat Thawani; Anant Madabhushi; Manmeet Ahluwalia; Pallavi Tiwari (CoRR, 2020)

Can Tumor Location on Pre-treatment MRI Predict Likelihood of Pseudo-Progression vs. Tumor Recurrence in Glioblastoma? - A Feasibility Study. - Marwa Ismail; Virginia B. Hill; Volodymyr Statsevych; Evan Mason; Ramon Correa; Prateek Prasanna; Gagandeep Singh; Kaustav Bera; Rajat Thawani; Manmeet Ahluwalia; Anant Madabhushi; Pallavi Tiwari (Frontiers Comput. Neurosci., 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)

Feature-driven local cell graph (FLocK): New computational pathology-based descriptors for prognosis of lung cancer and HPV status of oropharyngeal cancers. - Cheng Lu 001; Can Koyuncu 001; Germán Corredor; Prateek Prasanna; Patrick Leo; Xiangxue Wang; Andrew Janowczyk; Kaustav Bera; James S. Lewis Jr.; Vamsidhar Velcheti; Anant Madabhushi (Medical Image Anal., 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)

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)

Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to Characterize Tumor Field Effect: Application to Survival Prediction in Glioblastoma. - Marwa Ismail; Prateek Prasanna; Kaustav Bera; Volodymyr Statsevych; Virginia B. Hill; Gagandeep Singh; Sasan Partovi; Niha G. Beig; Sean D. McGarry; Peter S. LaViolette; Manmeet Ahluwalia; Anant Madabhushi; et al. (IEEE Trans. Medical Imaging, 2022)

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)