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Kaustav Bera
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2020 – today
- 2024
- [j6]Amogh Hiremath
, Vidya Sankar Viswanathan
, Kaustav Bera, Rakesh Shiradkar
, Lei Yuan, Keith Armitage, Robert Gilkeson, Mengyao Ji, Pingfu Fu
, Amit Gupta
, Cheng Lu, Anant Madabhushi
:
Deep learning reveals lung shape differences on baseline chest CT between mild and severe COVID-19: A multi-site retrospective study. Comput. Biol. Medicine 177: 108643 (2024) - 2022
- [j5]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
, Pallavi Tiwari
:
Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to Characterize Tumor Field Effect: Application to Survival Prediction in Glioblastoma. IEEE Trans. Medical Imaging 41(7): 1764-1777 (2022) - [i5]Nathaniel Braman, Prateek Prasanna, Kaustav Bera, Mehdi Alilou, Mohammadhadi Khorrami, Patrick Leo, Maryam Etesami, Manasa Vulchi, Paulette Turk, Amit Gupta
, Prantesh Jain, Pingfu Fu, Nathan Pennell, Vamsidhar Velcheti, Jame Abraham, Donna Plecha, Anant Madabhushi:
Novel Radiomic Measurements of Tumor- Associated Vasculature Morphology on Clinical Imaging as a Biomarker of Treatment Response in Multiple Cancers. CoRR abs/2210.02273 (2022) - 2021
- [j4]Cheng Lu
, Can Fahrettin Koyuncu
, Germán Corredor
, Prateek Prasanna
, Patrick Leo, Xiangxue Wang
, Andrew Janowczyk, Kaustav Bera, James Lewis, Vamsidhar Velcheti, Anant Madabhushi:
Feature-driven local cell graph (FLocK): New computational pathology-based descriptors for prognosis of lung cancer and HPV status of oropharyngeal cancers. Medical Image Anal. 68: 101903 (2021) - [j3]Amogh Hiremath
, Kaustav Bera, Lei Yuan, Pranjal Vaidya
, Mehdi Alilou, Jennifer Furin, Keith Armitage, Robert Gilkeson, Mengyao Ji
, Pingfu Fu
, Amit Gupta
, Cheng Lu
, Anant Madabhushi
:
Integrated Clinical and CT Based Artificial Intelligence Nomogram for Predicting Severity and Need for Ventilator Support in COVID-19 Patients: A Multi-Site Study. IEEE J. Biomed. Health Informatics 25(11): 4110-4118 (2021) - [c17]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
, Cheng Lu
, Anant Madabhushi:
LuMiRa: An Integrated Lung Deformation Atlas and 3D-CNN Model of Infiltrates for COVID-19 Prognosis. MICCAI (7) 2021: 367-377 - [i4]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, Pallavi Tiwari:
Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to characterize Tumor Field Effect: Application to Survival Prediction in Glioblastoma. CoRR abs/2103.07423 (2021) - 2020
- [j2]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:
Can Tumor Location on Pre-treatment MRI Predict Likelihood of Pseudo-Progression vs. Tumor Recurrence in Glioblastoma? - A Feasibility Study. Frontiers Comput. Neurosci. 14: 563439 (2020) - [c16]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, Satish E. Viswanath
:
Multi-site evaluation of stable radiomic features for more accurate evaluation of pathologic downstaging on MRI after chemoradiation for rectal cancers. Medical Imaging: Computer-Aided Diagnosis 2020 - [c15]Marwa Ismail, Ramon Correa, Kaustav Bera, Ruchika Verma
, Anas Saeed Bamashmos, Niha G. Beig, Jacob Antunes, Prateek Prasanna
, Volodymyr Statsevych, Manmeet Ahluwalia
, Pallavi Tiwari:
Spatial-And-Context Aware (SpACe) "Virtual Biopsy" Radiogenomic Maps to Target Tumor Mutational Status on Structural MRI. MICCAI (2) 2020: 305-314 - [c14]Sepideh Azarianpour
, Germán Corredor, Kaustav Bera, Patrick Leo, Nathaniel Braman, Pingfu Fu, Haider Mahdi, Anant Madabhushi:
Computer extracted features related to the spatial arrangement of tumor-infiltrating lymphocytes predict overall survival in epithelial ovarian cancer receiving adjuvant chemotherapy. Medical Imaging: Digital Pathology 2020: 113200Q - [c13]Shayan Monabbati, Patrick Leo, Kaustav Bera, Behtash G. Nezami, Claire W. Michael, Aparna Harbhajanka, Anant Madabhushi:
Texture features distinguish benign cell clusters from adenocarcinomas on bile duct brushing cytology images. Medical Imaging: Digital Pathology 2020: 113200I - [c12]Sara ArabYarmohammadi, Zelin Zhang, Patrick Leo, Marjan Firouznia, Andrew Janowczyk, Haojia Li, Nathaniel M. Braman, Kaustav Bera, Behtash G. Nezami, Howard Meyerson, Jun Xu, Leland Metheny, Anant Madabhushi:
Computationally derived cytological image markers for predicting risk of relapse in acute myeloid leukemia patients following bone marrow transplantation. Medical Imaging: Digital Pathology 2020: 1132004 - [c11]Siddhartha Nanda, Jacob T. Antunes, Kaustav Bera, Justin T. Brady, Kenneth Friedman, Joseph E. Willis, Raj M. Paspulati, Satish E. Viswanath
:
Texture kinetic features from pre-treatment DCE MRI for predicting pathologic tumor stage regression after neoadjuvant chemoradiation in rectal cancers. Medical Imaging: Image-Guided Procedures 2020: 1131530 - [i3]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, Anant Madabhushi:
Deep learning-based prediction of response to HER2-targeted neoadjuvant chemotherapy from pre-treatment dynamic breast MRI: A multi-institutional validation study. CoRR abs/2001.08570 (2020) - [i2]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:
Can tumor location on pre-treatment MRI predict likelihood of pseudo-progression versus tumor recurrence in Glioblastoma? A feasibility study. CoRR abs/2006.09483 (2020) - [i1]Marwa Ismail, Ramon Correa, Kaustav Bera, Ruchika Verma, Anas Saeed Bamashmos, Niha G. Beig, Jacob Antunes, Prateek Prasanna, Volodymyr Statsevych, Manmeet Ahluwalia, Pallavi Tiwari:
Spatial-And-Context aware (SpACe) "virtual biopsy" radiogenomic maps to target tumor mutational status on structural MRI. CoRR abs/2006.09878 (2020)
2010 – 2019
- 2019
- [c10]Mohammadhadi Khorrami
, Mehdi Alilou, Prateek Prasanna
, Pradnya Patil, Pirya Velu, Kaustav Bera, Pingfu Fu, Vamsidhar Velcheti, Anant Madabhushi:
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. Medical Imaging: Computer-Aided Diagnosis 2019: 109500R - [c9]Mehdi Alilou, Pranjal Vaidya
, Mohammadhadi Khorrami
, Alexia Zagouras, Pradnya Patil, Kaustav Bera, Pingfu Fu, Vamsidhar Velcheti, Anant Madabhushi:
Quantitative vessel tortuosity radiomics on baseline non-contrast lung CT predict response to immunotherapy and are prognostic of overall survival. Medical Imaging: Computer-Aided Diagnosis 2019: 109501F - [c8]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, Pallavi Tiwari:
Deformation heterogeneity radiomics to predict molecular subtypes of pediatric Medulloblastoma on routine MRI. Medical Imaging: Computer-Aided Diagnosis 2019: 109501E - [c7]Kaustav Bera, Niha G. Beig, Pallavi Tiwari:
Opportunities and Advances in Radiomics and Radiogenomics in Neuro-Oncology. RNO-AI@MICCAI 2019: 12-23 - [c6]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
:
Integrating radiomic features from T2-weighted and contrast-enhanced MRI to evaluate pathologic rectal tumor regression after chemoradiation. Medical Imaging: Image-Guided Procedures 2019: 109512R - [c5]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
:
Radiomic characterization of perirectal fat on MRI enables accurate assessment of tumor regression and lymph node metastasis in rectal cancers after chemoradiation. Medical Imaging: Image-Guided Procedures 2019: 109512A - [c4]Thomas DeSilvio, Jacob Antunes, Prathyush Chirra, Kaustav Bera, Jay Gollamudi, Raj M. Paspulati, Conor P. Delaney, Satish E. Viswanath
:
Region-specific fully convolutional networks for segmentation of the rectal wall on post-chemoradiation T2w MRI. Medical Imaging: Image-Guided Procedures 2019: 1095134 - 2018
- [c3]Cheng Lu
, Xiangxue Wang, Prateek Prasanna
, Germán Corredor
, Geoffrey Sedor, Kaustav Bera, Vamsidhar Velcheti, Anant Madabhushi:
Feature Driven Local Cell Graph (FeDeG): Predicting Overall Survival in Early Stage Lung Cancer. MICCAI (2) 2018: 407-416 - [c2]Pranjal Vaidya
, Xiangxue Wang, Kaustav Bera, Arjun Khunger, Humberto Choi, Pradnya Patil, Vamsidhar Velcheti, Anant Madabhushi:
RaPtomics: integrating radiomic and pathomic features for predicting recurrence in early stage lung cancer. Medical Imaging: Digital Pathology 2018: 105810M - [c1]Iulia Barbur, Jacob Kurowski
, Kaustav Bera, Rajat Thawani, Jean-Paul Achkar, Claudio Fiocchi, Marsha Kay, Rishi Gupta, Satish Viswanath
:
Automated segmentation and radiomic characterization of visceral fat on bowel MRIs for Crohn's disease. Medical Imaging: Image-Guided Procedures 2018: 1057615 - 2017
- [j1]Muinul Banna, Kaustav Bera
, Ryan D. Sochol, Liwei Lin
, Homayoun Najjaran
, Rehan Sadiq, Mina Hoorfar:
3D Printing-Based Integrated Water Quality Sensing System. Sensors 17(6): 1336 (2017)
Coauthor Index
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last updated on 2024-07-20 20:25 CEST by the dblp team
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