Imon Banerjee

5.8k citations

152 papers · 2.6k indexed · 1 hit paper · h-index 24

Impact in

Health Informatics top 0.1%
- Artificial Intelligence in Healthcare and Education
Radiology, Nuclear Medicine and Imaging top 1%
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI

Papers in

Health Informatics 21
- Artificial Intelligence in Healthcare and Education 21
Radiology, Nuclear Medicine and Imaging 64
- Radiomics and Machine Learning in Medical Imaging 38
- COVID-19 diagnosis using AI 12
- Radiology practices and education 11

Co-authors: Matthew P. Lungren Shih-Cheng Huang Anuj Pareek Daniel L. Rubin Saeed Seyyedi Judy Wawira Gichoya Hari Trivedi Arindam Sanyal
Journals: JCO Clinical Cancer Informatics (6 papers)Scientific Reports (6 papers)Journal of Digital Imaging (6 papers)Journal of Biomedical Informatics (5 papers)npj Digital Medicine (4 papers)
Partner nations: United States Canada Italy

In The Last Decade

Imon Banerjee

134 papers receiving 2.5k citations

Hit Papers

align trajectories log scale

Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines 2020 · 448 citations

Peers

Countries citing papers authored by Imon Banerjee

Since Specialization

Citations

This map shows the geographic impact of Imon Banerjee'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 Imon Banerjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Imon Banerjee more than expected).

Fields of papers citing papers by Imon Banerjee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Imon Banerjee. 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 Imon Banerjee. The network helps show where Imon Banerjee may publish in the future.

Co-authors

The 25 scholars most cited alongside Imon Banerjee, 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 Imon Banerjee Line = papers co-authored together Imon Banerjee links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Effects of patient survey feedback on improving patient experience with outpatient magnetic resonance imaging Current Problems in Diagnostic Radiology ·F. van Zijderveld, Christopher Dodoo, Imon Banerjee, D Paidi Raju, 金飞跃, J. Ram, H. Crompton, Gökhan Göl, Adam Kucharczuk, Junzheng Yang, Nelly Tan	2025	0
2	Automated Extraction of Patient-Centered Outcomes After Breast Cancer Treatment: An Open-Source Large Language Model–Based Toolkit JCO Clinical Cancer Informatics ·Bhagwat Tale Suresh, Kacie K. Woodis, Allison W. Kurian, Kevin C. Ward, Theresa H.M. Keegan, Daniel L. Rubin, Imon Banerjee	2024	6
3	A large language model–based generative natural language processing framework fine‐tuned on clinical notes accurately extracts headache frequency from electronic health records Headache The Journal of Head and Face Pain ·Chia‐Chun Chiang, Bhagwat Tale Suresh, Gina Dumkrieger, Nurlinda Habi, J. K. Lubowe, Chieh‐Ju Chao, Todd J. Schwedt, Abeed Sarker, Imon Banerjee	2024	18
4	Echocardiography-Based Deep Learning Model to Differentiate Constrictive Pericarditis and Restrictive Cardiomyopathy JACC. Cardiovascular imaging ·Chieh‐Ju Chao, Jiwoong Jeong, Reza Arsanjani, Ki Hong Kim, Yi‐Lin Tsai, WEN‐CHUNG YU, Juan Farina, Christine Liefooghe, Chadi Ayoub, Martha Grogan, Garvan C. Kane, Imon Banerjee, Jae K. Oh	2023	18
5	Impact of multi-source data augmentation on performance of convolutional neural networks for abnormality classification in mammography SHILAP Revista de lepidopterología ·Lu Chao, Hari Trivedi, Shuaiqiang Wang, Linglin Zhang, Hiteshri Rajput, Aimilia Gastounioti, Judy Wawira Gichoya, Laleh Seyyed-Kalantari, Imon Banerjee, Marie Sagesse Uwurukundo	2023	1
6	Contrastive diagnostic embedding (CDE) model for automated coding – A case study using emergency department encounters International Journal of Medical Informatics ·Amara Tariq, Tan-Lan Tuan, Yarasca Sauñe, R. A. Moscarella, Suhendri Nasution, Ryan Yousefian, Imon Banerjee, Bhavik N. Patel	2023	1
7	Evolution of Breast Cancer Recurrence Risk Prediction: A Systematic Review of Statistical and Machine Learning–Based Models JCO Clinical Cancer Informatics ·Z.Ya. Kuliev, Amine Souadka, Bhavik N. Patel, Nada Sbihi, Wolf P., Bhavika Patel, Mounir Ghogho, Imon Banerjee	2023	11
8	“Shortcuts” Causing Bias in Radiology Artificial Intelligence: Causes, Evaluation, and Mitigation Journal of the American College of Radiology ·Imon Banerjee, Michela Bartoccetti, John L. Burns, Hari Trivedi, Saptarshi Purkayastha, Laleh Seyyed-Kalantari, Bhavik N. Patel, Rakesh Shiradkar, Judy Wawira Gichoya	2023	37
9	Artificial Intelligence-Based Prediction of Cardiovascular Diseases from Chest Radiography Journal of Imaging ·Juan Farina, Elda Coelho de Azevedo Bussinguer, Christine Liefooghe, Isabel G. Scalia, 菊紀篠原, Chieh‐Ju Chao, Timothy Barry, Chadi Ayoub, Imon Banerjee, Reza Arsanjani	2023	12
10	Opportunistic screening for low bone density using abdominopelvic computed tomography scans Medical Physics ·Amara Tariq, Bhavik N. Patel, William F. Sensakovic, Fin Florack, Imon Banerjee	2023	9
11	Overview of Noninterpretive Artificial Intelligence Models for Safety, Quality, Workflow, and Education Applications in Radiology Practice Radiology Artificial Intelligence ·Н В Терехова, Maghfiroh Ramadhani Rani, W. Wagstaff, Anne M High, Anna Podlasek, Ahmed Tahir Andzie, Marta E. Heilbrun, Elizabeth A. Krupinski, Nabile Safdar, Imon Banerjee, Judy Wawira Gichoya, Hari Trivedi	2022	29
12	Optimizing risk-based breast cancer screening policies with reinforcement learning Nature Medicine ·Adam Yala, Peter G. Mikhael, Constance D. Lehman, Gigin Lin, Fredrik Strand, Yung‐Liang Wan, Kevin S. Hughes, Yasuyuki Kigure, Thomas Kim, Imon Banerjee, Judy Wawira Gichoya, Hari Trivedi, Regina Barzilay	2022	57
13	Automatic Localization and Brand Detection of Cervical Spine Hardware on Radiographs Using Weakly Supervised Machine Learning Radiology Artificial Intelligence ·孟昭美, Anna Pavlova, Faisal Al Sayegh, 娄俊, Marzyeh Ghassemi, Judy Wawira Gichoya, Imon Banerjee, S. Tim Yoon, Hari Trivedi	2022	5
14	CVAD - An unsupervised image anomaly detector Software Impacts ·Russell E Newkirk, Judy Wawira Gichoya, Saptarshi Purkayastha, Imon Banerjee	2021	2
15	Recurrent Neural Network Circuit for Automated Detection of Atrial Fibrillation from Raw ECG 布施晶子, Rahul Roy Chowdhury, G. Dryanovski, Imon Banerjee, Arindam Sanyal	2021	6
16	PAC-Bayes Bounds on Variational Tempered Posteriors for Markov Models MDPI (MDPI AG) ·Imon Banerjee	2021	1
17	PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging npj Digital Medicine ·Shih-Cheng Huang, 育子阿部, Imon Banerjee, Chris Chute, Robyn L. Ball, Namibia Diaz Martinez, Shweta S. Nilamwar, Bhavik N. Patel, Pranav Rajpurkar, Jeremy Irvin, Jared Dunnmon, Joseph Bledsoe, Katie Shpanskaya, Nilamadhab Guru, Roham T. Zamanian, Andrew Y. Ng, Matthew P. Lungren	2020	103
18	Developing and Deploying Machine Learning Pipelines against Real-Time Image Streams from the PACS. arXiv (Cornell University) ·Pradeeban Kathiravelu, Ashish Sharma, Saptarshi Purkayastha, Nishat Fatima, Alexandre Cadrin-Chênevert, Imon Banerjee, Judy Wawira Gichoya	2020	1
19	Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines npj Digital Medicine ·Shih-Cheng Huang, Anuj Pareek, Saeed Seyyedi, Imon Banerjee, Matthew P. Lungren Hit paper breakdown →	2020	448
20	Framework for Domain Analysis of Teleteaching System: A Semiformal Approach. Software Engineering Research and Practice ·Animesh Datta, Imon Banerjee, Shrutilipi Bhattacharjee, Ranjan Dasgupta, Swapan Bhattacharya	2010	1

About Imon Banerjee

Imon Banerjee is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Health Information Management and Internal Medicine, having authored 152 papers that have together received 2.6k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (38 papers), Machine Learning in Healthcare (28 papers), AI in cancer detection (23 papers), Artificial Intelligence in Healthcare and Education (21 papers), Biomedical Text Mining and Ontologies (19 papers), Topic Modeling (15 papers), COVID-19 diagnosis using AI (12 papers) and Radiology practices and education (11 papers). The work is most often cited by research in Health Informatics (577 citations), Radiology, Nuclear Medicine and Imaging (1.1k citations), Health Information Management (197 citations), Internal Medicine (128 citations) and Artificial Intelligence (1.0k citations). Imon Banerjee has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Matthew P. Lungren, Shih-Cheng Huang, Anuj Pareek, Daniel L. Rubin, Saeed Seyyedi, Judy Wawira Gichoya, Hari Trivedi, Arindam Sanyal, Roham T. Zamanian and Bhavik N. Patel. Their work appears in journals such as JCO Clinical Cancer Informatics, Scientific Reports, Journal of Digital Imaging, Journal of Biomedical Informatics and npj Digital Medicine.

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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