Kaustav Bera

5.8k citations

91 papers · 3.7k indexed · 3 hit papers · h-index 25

Impact in

Health Informatics top 0.2%
- Artificial Intelligence in Healthcare and Education
Radiology, Nuclear Medicine and Imaging top 0.2%
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- MRI in cancer diagnosis

Papers in

Radiology, Nuclear Medicine and Imaging 80
- Radiomics and Machine Learning in Medical Imaging 68
- Medical Imaging Techniques and Applications 7
Health Informatics 4

Co-authors: Anant Madabhushi Vamsidhar Velcheti Kurt A. Schalper David L. Rimm Amit Gupta Nathaniel Braman Prateek Prasanna Niha Beig
Journals: Journal of Clinical Oncology (6 papers)Journal of Thoracic Oncology (4 papers)Frontiers in Oncology (3 papers)Radiology Artificial Intelligence (2 papers)Clinical Cancer Research (2 papers)
Partner nations: United States China India

In The Last Decade

Kaustav Bera

85 papers receiving 3.6k citations

Hit Papers

align trajectories log scale

Predicting cancer outcomes with radiomics and artificial intelligence in radiology 2021 · 482 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2021 Nature Reviews Clinical Oncology
2019 Nature Reviews Clinical Oncology
2019 JAMA Network Open

Peers

Countries citing papers authored by Kaustav Bera

Since Specialization

Citations

This map shows the geographic impact of Kaustav Bera's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kaustav Bera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaustav Bera more than expected).

Fields of papers citing papers by Kaustav Bera

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kaustav Bera. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kaustav Bera. The network helps show where Kaustav Bera may publish in the future.

Co-authors

The 25 scholars most cited alongside Kaustav Bera, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kaustav Bera Line = papers co-authored together Kaustav Bera links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Computationally integrating radiology and pathology image features for predicting treatment benefit and outcome in lung cancer npj Precision Oncology ·Pranjal Vaidya, Mohammadhadi Khorrami, Kaustav Bera, Pingfu Fu, Lukas Delasos, Amit Gupta, Cristian Barrera, Nathan A. Pennell, Vamsidhar Velcheti, Anant Madabhushi	2025	2
2	3.0-T MR-guided transgluteal in-bore-targeted prostate biopsy under local anesthesia in patients without rectal access: a single-institute experience and review of literature Abdominal Radiology ·Kaustav Bera, Rudi Pueschel, Raj Mohan Paspulati, Dean Nakamoto, Sree Harsha Tirumani	2024	1
3	Real-World Performance of Pneumothorax-Detecting Artificial Intelligence Algorithm and its Impact on Radiologist Reporting Times Academic Radiology ·Joshua G. Hunter, Kaustav Bera, Gabriela Massiel, Livia Devina, Bill Pettus, M Baldock, Apostolos Stavelas, Amit Gupta	2024	5
4	Deep learning reveals lung shape differences on baseline chest CT between mild and severe COVID-19: A multi-site retrospective study Computers in Biology and Medicine ·Hilal Akalın, Vidya Sankar Viswanathan, Kaustav Bera, Rakesh Shiradkar, Lei Yuan, B. Satyaranayana, Robert Gilkeson, Mengyao Ji, Pingfu Fu, Amit Gupta, 미옥 류, Anant Madabhushi	2024	4
5	Clinical and imaging aspects of pulmonary embolism: a primer for radiologists Clinical Imaging ·Livia Devina, Joshua G. Hunter, Kaustav Bera, 野口崇史, 小四郎松本, C. Vescovi J. -L. Bouly, Shrijeet Chakraborti, Noumboue Kouamou Bijou-Lafortune, Amit Gupta	2024	2
6	Analysis of ChatGPT publications in radiology: Literature so far Current Problems in Diagnostic Radiology ·Kaustav Bera, E Poetter, Sirui Jiang, Sree Harsha Tirumani, Nikhil H. Ramaiya	2023	16
7	Novel Radiomic Measurements of Tumor-Associated Vasculature Morphology on Clinical Imaging as a Biomarker of Treatment Response in Multiple Cancers Clinical Cancer Research ·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 A. Pennell, Vamsidhar Velcheti, Jame Abraham, Donna Plecha, Anant Madabhushi	2022	19
8	Stable and Discriminatory Radiomic Features from the Tumor and Its Habitat Associated with Progression-Free Survival in Glioblastoma: A Multi-Institutional Study American Journal of Neuroradiology ·Ruchika Verma, Virginia Hill, Volodymyr Statsevych, Kaustav Bera, Ramón Correa, Patrick Leo, Manmeet S. Ahluwalia, Anant Madabhushi, Pallavi Tiwari	2022	15
9	Harnessing non-destructive 3D pathology Nature Biomedical Engineering ·Jonathan Liu, Adam K. Glaser, Kaustav Bera, Lawrence D. True, Nicholas P. Reder, Kevin W. Eliceiri, Anant Madabhushi	2021	87
10	Distinguishing granulomas from adenocarcinomas by integrating stable and discriminating radiomic features on non-contrast computed tomography scans European Journal of Cancer ·Mohammadhadi Khorrami, Kaustav Bera, Rajat Thawani, Prabhakar Rajiah, Amit Gupta, Pingfu Fu, Philip A. Linden, Nathan A. Pennell, Frank J. Jacono, Robert Gilkeson, Vamsidhar Velcheti, Anant Madabhushi	2021	24
11	Collagen fiber orientation disorder from H&E images is prognostic for early stage breast cancer: clinical trial validation npj Breast Cancer ·Unsal Yunus Emre, Kaustav Bera, Paula Toro, Pingfu Fu, Zelin Zhang, Cheng Lu, Michael D. Feldman, Shridar Ganesan, Lori J. Goldstein, Nancy E. Davidson, Akisha Glasgow, Aparna Harbhajanka, Hannah Gilmore, Anant Madabhushi	2021	44
12	Tumor Habitat–derived Radiomic Features at Pretreatment MRI That Are Prognostic for Progression-free Survival in Glioblastoma Are Associated with Key Morphologic Attributes at Histopathologic Examination: A Feasibility Study Radiology Artificial Intelligence ·Ruchika Verma, Ramón Correa, Virginia Hill, Volodymyr Statsevych, Kaustav Bera, Niha Beig, Abdelkader Mahammedi, Anant Madabhushi, Manmeet S. Ahluwalia, Pallavi Tiwari	2020	49
13	Radiogenomic-Based Survival Risk Stratification of Tumor Habitat on Gd-T1w MRI Is Associated with Biological Processes in Glioblastoma Clinical Cancer Research ·Niha Beig, Kaustav Bera, Prateek Prasanna, Perera, Benito S.I, 1535-1610, Ramón Correa, Salendra Singh, Abhijeet Padhy, Marwa Ismail, Nathaniel Braman, Ruchika Verma, Virginia Hill, Volodymyr Statsevych, Manmeet S. Ahluwalia, Vinay Varadan, Anant Madabhushi, Pallavi Tiwari	2020	92
14	Changes in CT Radiomic Features Associated with Lymphocyte Distribution Predict Overall Survival and Response to Immunotherapy in Non–Small Cell Lung Cancer Cancer Immunology Research ·Mohammadhadi Khorrami, Prateek Prasanna, Amit Gupta, Pradnya D. Patil, Priya Velu, Rajat Thawani, Germán Corredor, Mehdi Alilou, Kaustav Bera, Pingfu Fu, Michael D. Feldman, Vamsidhar Velcheti, Anant Madabhushi	2019	200
15	Combination of Peri- and Intratumoral Radiomic Features on Baseline CT Scans Predicts Response to Chemotherapy in Lung Adenocarcinoma Radiology Artificial Intelligence ·Mohammadhadi Khorrami, Monica Khunger, M. Adil Rao, Pradnya D. Patil, Rajat Thawani, Kaustav Bera, Prabhakar Rajiah, Pingfu Fu, Vamsidhar Velcheti, Anant Madabhushi	2019	86
16	Association of Peritumoral Radiomics With Tumor Biology and Pathologic Response to Preoperative Targeted Therapy forHER2 (ERBB2)–Positive Breast Cancer JAMA Network Open ·Nathaniel Braman, Prateek Prasanna, Jon Whitney, Salendra Singh, Niha Beig, Maryam Etesami, ‬David D. B. Bates, Katherine Gallagher, B Bloch, Manasa Vulchi, Paulette Turk, Kaustav Bera, Jame Abraham, William M. Sikov, George Somlo, Lyndsay N. Harris, Hannah Gilmore, Donna Plecha, Vinay Varadan, Anant Madabhushi Hit paper breakdown →	2019	235
17	MA25.02 Arrangement and Architecture of Tumor-Infiltrating Lymphocyte on H&E Slides Predict OS in Nivolumab Treated Non-Small Cell Lung Cancer Journal of Thoracic Oncology ·Xinglong Wang, Cristian Barrera, Kaustav Bera, Cheng Lu, M Feldman, Kurt A. Schalper, David L. Rimm, Vamsidhar Velcheti, Anant Madabhushi	2019	1
18	Perinodular and Intranodular Radiomic Features on Lung CT Images Distinguish Adenocarcinomas from Granulomas Radiology ·Niha Beig, Mohammadhadi Khorrami, Mehdi Alilou, Prateek Prasanna, Nathaniel Braman, Mahdi Orooji, Sagar Rakshit, Kaustav Bera, Prabhakar Rajiah, J Ginsberg, Christopher Donatelli, Rajat Thawani, Michael Yang, Frank J. Jacono, Pallavi Tiwari, Vamsidhar Velcheti, Robert Gilkeson, Philip A. Linden, Anant Madabhushi	2018	238
19	Shape Features of the Lesion Habitat to Differentiate Brain Tumor Progression from Pseudoprogression on Routine Multiparametric MRI: A Multisite Study American Journal of Neuroradiology ·Marwa Ismail, Virginia Hill, Volodymyr Statsevych, Raymond Y. Huang, Prateek Prasanna, Ramón Correa, Gagandeep Singh, Kaustav Bera, Niha Beig, Rajat Thawani, Anant Madabhushi, J.B. Huizink, Pallavi Tiwari	2018	74
20	P2.04-17 Pre-Therapy Radiomic Features Can Distinguish Hyperprogression from Other Response Patterns to PD1/PD-L1 Inhibitors in NSCLC Journal of Thoracic Oncology ·Pradnya D. Patil, Kaustav Bera, Pranjal Vaidya, Mohammadhadi Khorrami, Prantesh Jain, Anant Madabhushi, Vamsidhar Velcheti	2018	2

About Kaustav Bera

Kaustav Bera is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics, Oncology, Genetics and Pulmonary and Respiratory Medicine, having authored 91 papers that have together received 3.7k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (68 papers), Lung Cancer Diagnosis and Treatment (18 papers), AI in cancer detection (17 papers), Advanced X-ray and CT Imaging (14 papers), Cancer Immunotherapy and Biomarkers (12 papers), Glioma Diagnosis and Treatment (9 papers), Colorectal Cancer Surgical Treatments (8 papers) and Medical Imaging Techniques and Applications (7 papers). The work is most often cited by research in Health Informatics (306 citations), Radiology, Nuclear Medicine and Imaging (2.7k citations), Biophysics (195 citations), Oncology (904 citations) and Pulmonary and Respiratory Medicine (1.1k citations). Kaustav Bera has collaborated with scholars based in United States, China and India. Frequent co-authors include Anant Madabhushi, Vamsidhar Velcheti, Kurt A. Schalper, David L. Rimm, Amit Gupta, Nathaniel Braman, Prateek Prasanna, Niha Beig, Mohammadhadi Khorrami and Pingfu Fu. Their work appears in journals such as Journal of Clinical Oncology, Journal of Thoracic Oncology, Frontiers in Oncology, Radiology Artificial Intelligence and Clinical Cancer Research.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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