Imon Banerjee - RankMe

139 papers A* 1B 4C 4Misc 7Journal 97Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Mitigating Bias in Opportunistic Screening for MACE With Causal Reasoning. IEEE Trans. Artif. Intell. Jialu Pi, Juan Maria Farina, Chieh-Ju Chao, Chadi Ayoub, Reza Arsanjani, Imon Banerjee
2026	J	`jnl`	On the transfer learning behavior of domain-specific vision-language models in screening mammography. J. Biomed. Informatics Aisha Urooj Khan, Gokul Ramasamy, Muhammad Danish Khan, John W. Garrett, Tyler J. Bradshaw, Lonie Salkowski, Imon Banerjee
2025	J	`jnl`	Adaptable graph neural networks design to support generalizability for clinical event prediction. J. Biomed. Informatics Amara Tariq, Gurkiran Kaur, Leon Su, Judy Gichoya, Bhavik N. Patel, Imon Banerjee
2025	J	`jnl`	Benchmark on Peer Review Toxic Detection: A Challenging Task with a New Dataset. CoRR Man Luo, Bradley Peterson, Rafael Gan, Hari Ramalingame, Navya Gangrade, Ariadne Dimarogona, Imon Banerjee, Phillip Howard
2025	J	`jnl`	CLT and Edgeworth Expansion for m-out-of-n Bootstrap Estimators of The Studentized Median. CoRR Imon Banerjee, Sayak Chakrabarty
2025	J	`jnl`	CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray. CoRR Mingquan Lin, Gregory Holste, Song Wang, Yiliang Zhou, Yishu Wei, Imon Banerjee, Pengyi Chen, Tianjie Dai, Yuexi Du, Nicha C. Dvornek, Yuyan Ge, Zuowei Guo, Shouhei Hanaoka, Dongkyun Kim, Pablo Messina, Yang Lu, Denis Parra, Donghyun Son, Álvaro Soto, Aisha Urooj, René Vidal, Yosuke Yamagishi, Zefan Yang, Ruichi Zhang, Yang Zhou, Leo Anthony Celi, Ronald M. Summers, Zhiyong Lu, Hao Chen, Adam E. Flanders, George Shih, Zhangyang Wang, Yifan Peng
2025	J	`jnl`	CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray. Medical Image Anal. Mingquan Lin, Gregory Holste, Song Wang, Yiliang Zhou, Yishu Wei, Imon Banerjee, Pengyi Chen, Tianjie Dai, Yuexi Du, Nicha C. Dvornek, Yuyan Ge, Zuwei Guo, Shouhei Hanaoka, Dongkyun Kim, Pablo Messina, Yang Lu, Denis Parra, Donghyun Son, Álvaro Soto, Aisha Urooj, René Vidal, Yosuke Yamagishi, Pingkun Yan, Zefan Yang, Ruichi Zhang, Yang Zhou, Leo Anthony Celi, Ronald M. Summers, Zhiyong Lu, Hao Chen, Adam E. Flanders, George Shih, Zhangyang Wang, Yifan Peng
2025	J	`jnl`	Deep Gaussian process with uncertainty estimation for microsatellite instability and immunotherapy response prediction from histology. npj Digit. Medicine Sunho Park, Morgan F. Pettigrew, Yoon Jin Cha, In-Ho Kim, Minji Kim, Imon Banerjee, Isabel Barnfather, Jean R. Clemenceau, Inyeop Jang, Hyunki Kim, Younghoon Kim, Rish K. Pai, Jeong Hwan Park, N. Jewel Samadder, Kyo Young Song, Ji-Youn Sung, Jae-Ho Cheong, Jeonghyun Kang, Sung Hak Lee, Sam C. Wang, Taehyun Hwang
2025	J	`jnl`	EchoGraph system for automated quality assessment of echocardiography reports. npj Digit. Medicine Chieh-Ju Chao, Jean-Benoit Delbrouck, Mohammad Asadi, Imon Banerjee, Juan Maria Farina, Francesca Galasso, Ahmed K. Mahmoud, Mohammed Tiseer Abbas, Yu-Chiang Wang, Reza Arsanjani, Garvan C. Kane, Jae K. Oh, Bradley J. Erickson, Li Fei-Fei, Ehsan Adeli, Curtis Langlotz
2025	J	`jnl`	Feature Quality and Adaptability of Medical Foundation Models: A Comparative Evaluation for Radiographic Classification and Segmentation. CoRR Frank Li, Theo Dapamede, Mohammadreza Chavoshi, Young Seok Jeon, Bardia Khosravi, Abdulhameed Dere, Beatrice Brown-Mulry, Rohan Satya Isaac, Aawez Mansuri, Chiratidzo Sanyika, Janice M. Newsome, Saptarshi Purkayastha, Imon Banerjee, Hari Trivedi, Judy Gichoya
2025	J	`jnl`	Foundation versus domain-specific models for left ventricular segmentation on cardiac ultrasound. npj Digit. Medicine Chieh-Ju Chao, Yunqi Richard Gu, Wasan Kumar, Tiange Xiang, Lalith Appari, Justin Wu, Juan Maria Farina, Rachael Wraith, Jiwoong Jason Jeong, Reza Arsanjani, Garvan C. Kane, Jae K. Oh, Curtis P. Langlotz, Imon Banerjee, Li Fei-Fei, Ehsan Adeli
2025	J	`jnl`	Goggin's corrected Kalman Filter: Guarantees and Filtering Regimes. CoRR Imon Banerjee, Itai Gurvich
2025	J	`jnl`	Joint fusion of EHR and ECG data using attention-based CNN and ViT for predicting adverse clinical endpoints in percutaneous coronary intervention patients. Comput. Biol. Medicine Arjun Thakur, Pradyumna Agasthi, Chieh-Ju Chao, Juan Maria Farina, David R. Holmes, David F. Fortuin, Chadi Ayoub, Reza Arsanjani, Imon Banerjee
2025	J	`jnl`	MOSCARD - Causal Reasoning and De-confounding for Multimodal Opportunistic Screening of Cardiovascular Adverse Events. CoRR Jialu Pi, Juan Maria Farina, Rimita Lahiri, Jiwoong Jason Jeong, Archana Gurudu, Hyung-Bok Park, Chieh-Ju Chao, Chadi Ayoub, Reza Arsanjani, Imon Banerjee
2025	—	`conf`	MOSCARD - Multimodal Opportunistic Screening for Cardiovascular Adverse Events with Causal Reasoning and De-confounding. MICCAI (8) Jialu Pi, Juan Maria Farina, Rimita Lahiri, Jiwoong Jason Jeong, Archana Gurudu, Hyung-Bok Park, Chieh-Ju Chao, Chadi Ayoub, Reza Arsanjani, Imon Banerjee
2025	J	`jnl`	Mammo-FM: Breast-specific foundational model for Integrated Mammographic Diagnosis, Prognosis, and Reporting. CoRR Shantanu Ghosh, Vedant Parthesh Joshi, Rayan Syed, Aya Kassem, Abhishek Varshney, Payel Basak, Weicheng Dai, Judy Wawira Gichoya, Hari M. Trivedi, Imon Banerjee, Shyam Visweswaran, Clare B. Poynton, Kayhan Batmanghelich
2025	J	`jnl`	Multi-Analyte, Swab-based Automated Wound Monitor with AI. CoRR Madhu Babu Sikha, Lalith Appari, Gurudatt Nanjanagudu Ganesh, Amay Bandodkar, Imon Banerjee
2025	J	`jnl`	Novel AI-Based Quantification of Breast Arterial Calcification to Predict Cardiovascular Risk. CoRR Theodorus Dapamede, Aisha Urooj, Vedant Joshi, Gabrielle Gershon, Frank Li, Mohammadreza Chavoshi, Beatrice Brown-Mulry, Rohan Satya Isaac, Aawez Mansuri, Chad Robichaux, Chadi Ayoub, Reza Arsanjani, Laurence Sperling, Judy Gichoya, Marly van Assen, Charles W. ONeill, Imon Banerjee, Hari Trivedi
2025	J	`jnl`	Off-line Estimation of Controlled Markov Chains: Minimaxity and Sample Complexity. Oper. Res. Imon Banerjee, Harsha Honnappa, Vinayak Rao
2025	J	`jnl`	Opportunistic Screening for Pancreatic Cancer using Computed Tomography Imaging and Radiology Reports. CoRR David Le, Ramon L. Correa-Medero, Amara Tariq, Bhavik N. Patel, Motoyo Yano, Imon Banerjee
2025	J	`jnl`	Patient-centric Summarization of Radiology Findings Using Two-step Training of Large Language Models. ACM Trans. Comput. Heal. Amara Tariq, Shubham Trivedi, Aisha Urooj, Gokul Ramasamy, Sam Fathizadeh, Matthew Stib, Nelly Tan, Bhavik N. Patel, Imon Banerjee
2025	J	`jnl`	Position: Restructuring of Categories and Implementation of Guidelines Essential for VLM Adoption in Healthcare. CoRR Amara Tariq, Rimita Lahiri, Charles Kahn, Imon Banerjee
2025	J	`jnl`	Systematic Review of Hybrid Vision Transformer Architectures for Radiological Image Analysis. J. Imaging Inform. Medicine Ji Woong Kim, Aisha Urooj Khan, Imon Banerjee
2025	—	`conf`	Unsupervised Generative Approach for Anomaly Detection to Enhance the Quality of Unseen Medical Datasets. WACV (Workshops) Zhemin Zhang, Bhavika Patel, Bhavik Patel, Imon Banerjee
2025	J	`jnl`	Weakly supervised language models for automated extraction of critical findings from radiology reports. npj Digit. Medicine Avisha Das, Ish A. Talati, Juan Manuel Zambrano Chaves, Daniel L. Rubin, Imon Banerjee
2024	—	`conf`	AI-Enabled Fusion of Electrocardiograph and Demographics for Prediction of Acute Kidney Injury Onset. BioCAS Vasundhara Damodaran, Jose Sanchez, Tushar Gupta, Phaneendra Bikkina, Esko Mikkola, Haidar M. Abdul-Muhsin, Imon Banerjee, Arindam Sanyal
2024	B	`conf`	Assessing Empathy in Large Language Models with Real-World Physician-Patient Interactions. IEEE Big Data Man Luo, Christopher J. Warren, Lu Cheng, Haidar M. Abdul-Muhsin, Imon Banerjee
2024	J	`jnl`	Assessing Empathy in Large Language Models with Real-World Physician-Patient Interactions. CoRR Man Luo, Christopher J. Warren, Lu Cheng, Haidar M. Abdul-Muhsin, Imon Banerjee
2024	J	`jnl`	Call for papers: Special issue on biomedical multimodal large language models - novel approaches and applications. J. Biomed. Informatics Jiang Bian, Yifan Peng, Eneida A. Mendonça, Imon Banerjee, Hua Xu, Hong Sun, Ye Ye, Casey Overby Taylor, Anália Maria Garcia Lourenço, Alejandro Rodríguez González, Elena Tutubalina
2024	J	`jnl`	Efficient adversarial debiasing with concept activation vector - Medical image case-studies. J. Biomed. Informatics Ramon Correa, Khushbu Pahwa, Bhavik N. Patel, Celine M. Vachon, Judy W. Gichoya, Imon Banerjee
2024	—	`conf`	Knowledge-Grounded Adaptation Strategy for Vision-Language Models: Building a Unique Case-Set for Screening Mammograms for Residents Training. MICCAI (12) Aisha Urooj Khan, John W. Garrett, Tyler J. Bradshaw, Lonie Salkowski, Jiwoong Jason Jeong, Amara Tariq, Imon Banerjee
2024	J	`jnl`	Knowledge-grounded Adaptation Strategy for Vision-language Models: Building Unique Case-set for Screening Mammograms for Residents Training. CoRR Aisha Urooj Khan, John W. Garrett, Tyler J. Bradshaw, Lonie Salkowski, Jiwoong Jason Jeong, Amara Tariq, Imon Banerjee
2024	—	`conf`	Mixed-Signal Classifier Chip on Flexible Substrate for Cardiovascular Health Monitoring. BioCAS Jose Sanchez, Sumukh Prashant Bhanushali, Sudarsan Sadasivuni, Imon Banerjee, Arindam Sanyal
2024	—	`conf`	Multi-modal Predictive Model for MACE Risk Estimation in Patients with Migraine. ICHI Amara Tariq, Oana M. Dumitrascu, Man Luo, Gina Dumkrieger, Todd J. Schwedt, Catherine D. Chong, Imon Banerjee
2024	J	`jnl`	SCGAN: Sparse CounterGAN for Counterfactual Explanations in Breast Cancer Prediction. IEEE Trans Autom. Sci. Eng. Siqiong Zhou, Upala J. Islam, Nicholaus Pfeiffer, Imon Banerjee, Bhavika K. Patel, Ashif Sikandar Iquebal
2024	J	`jnl`	Unsupervised Hybrid framework for ANomaly Detection (HAND) - applied to Screening Mammogram. CoRR Zhemin Zhang, Bhavika Patel, Bhavik N. Patel, Imon Banerjee
2023	—	`conf`	Adversarial Debiasing techniques towards 'fair' skin lesion classification. NER Ramon L. Correa-Medero, Bhavik N. Patel, Imon Banerjee
2023	J	`jnl`	Artificial Intelligence-Based Prediction of Cardiovascular Diseases from Chest Radiography. J. Imaging Juan Maria Farina, Milagros Pereyra, Ahmed K. Mahmoud, Isabel G. Scalia, Mohammed Tiseer Abbas, Chieh-Ju Chao, Timothy Barry, Chadi Ayoub, Imon Banerjee, Reza Arsanjani
2023	J	`jnl`	Contrastive diagnostic embedding (CDE) model for automated coding - A case study using emergency department encounters. Int. J. Medical Informatics Amara Tariq, Kris Goddard, Praneetha Elugunti, Kristina Piorkowski, Jared Staal, Allison Viramontes, Imon Banerjee, Bhavik N. Patel
2023	J	`jnl`	Developing an Echocardiography-Based, Automatic Deep Learning Framework for the Differentiation of Increased Left Ventricular Wall Thickness Etiologies. J. Imaging James Li, Chieh-Ju Chao, Jiwoong Jason Jeong, Juan Maria Farina, Amith R. Seri, Timothy Barry, Hana Newman, Megan Campany, Merna Abdou, Michael O'Shea, Sean Smith, Bishoy Abraham, Seyedeh Maryam Hosseini, Yuxiang Wang, Steven J. Lester, Said Alsidawi, Susan Wilansky, Eric Steidley, Julie Rosenthal, Chadi Ayoub, Christopher P. Appleton, Win-Kuang Shen, Martha Grogan, Garvan C. Kane, Jae K. Oh, Bhavik N. Patel, Reza Arsanjani, Imon Banerjee
2023	—	`conf`	Fully Integrated Mixed-Signal Classifier for Cardiovascular Health Monitoring. BioCAS Sumukh Prashant Bhanushali, Sudarsan Sadasivuni, Jose Sanchez, Imon Banerjee, Arindam Sanyal
2023	J	`jnl`	Graph convolutional network-based fusion model to predict risk of hospital acquired infections. J. Am. Medical Informatics Assoc. Amara Tariq, Lin Lancaster, Praneetha Elugunti, Eric Siebeneck, Katherine Noe, Bijan Borah, James Moriarty, Imon Banerjee, Bhavik N. Patel
2023	—	`conf`	Graph-Based Fusion of Imaging and Non-Imaging Data for Disease Trajectory Prediction. NER Amara Tariq, Siyi Tang, Hifza Sakhi, Leo Anthony Celi, Janice M. Newsome, Daniel L. Rubin, Hari Trivedi, Judy Gichoya, Bhavik N. Patel, Imon Banerjee
2023	J	`jnl`	Hierarchical Classification System for Breast Cancer Specimen Report (HCSBC) - an end-to-end model for characterizing severity and diagnosis. CoRR Thiago Santos, Harish Kamath, Christopher R. McAdams, Mary S. Newell, Marina Mosunjac, Gabriela Oprea-Ilies, Geoffrey H. Smith, Constance Lehman, Judy Gichoya, Imon Banerjee, Hari Trivedi
2023	J	`jnl`	In-Sensor Artificial Intelligence and Fusion With Electronic Medical Records for At-Home Monitoring. IEEE Trans. Biomed. Circuits Syst. Sudarsan Sadasivuni, Monjoy Saha, Sumukh Prashant Bhanushali, Imon Banerjee, Arindam Sanyal
2023	J	`jnl`	MedShift: Automated Identification of Shift Data for Medical Image Dataset Curation. IEEE J. Biomed. Health Informatics Xiaoyuan Guo, Judy Wawira Gichoya, Hari Trivedi, Saptarshi Purkayastha, Imon Banerjee
2023	J	`jnl`	Natural Language Processing Model for Identifying Critical Findings - A Multi-Institutional Study. J. Digit. Imaging Imon Banerjee, Melissa A. Davis, Brianna L. Vey, Sina Mazaheri, Fiza Khan, Vaz Zavaletta, Roger Gerard, Judy Wawira Gichoya, Bhavik N. Patel
2023	J	`jnl`	Performance Gaps of Artificial Intelligence Models Screening Mammography - Towards Fair and Interpretable Models. CoRR Linglin Zhang, Beatrice Brown-Mulry, Vineela Nalla, InChan Hwang, Judy Wawira Gichoya, Aimilia Gastounioti, Imon Banerjee, Laleh Seyyed-Kalantari, Minjae Woo, Hari Trivedi
2023	J	`jnl`	Predicting 30-Day All-Cause Hospital Readmission Using Multimodal Spatiotemporal Graph Neural Networks. IEEE J. Biomed. Health Informatics Siyi Tang, Amara Tariq, Jared A. Dunnmon, Umesh Sharma, Praneetha Elugunti, Daniel L. Rubin, Bhavik N. Patel, Imon Banerjee
2023	J	`jnl`	The Role of Artificial Intelligence in Echocardiography. J. Imaging Timothy Barry, Juan Maria Farina, Chieh-Ju Chao, Chadi Ayoub, Jiwoong Jason Jeong, Bhavik N. Patel, Imon Banerjee, Reza Arsanjani
2022	—	`conf`	A 43.6 TOPS/W AI Classifier with Sensor Fusion for Sepsis Onset Prediction. BioCAS Sudarsan Sadasivuni, Sumukh Prashant Bhanushali, Imon Banerjee, Arindam Sanyal
2022	J	`jnl`	A weakly supervised model for the automated detection of adverse events using clinical notes. J. Biomed. Informatics Josh Sanyal, Daniel L. Rubin, Imon Banerjee
2022	J	`jnl`	Advances in Prediction of Readmission Rates Using Long Term Short Term Memory Networks on Healthcare Insurance Data. CoRR Shuja Khalid, Francisco Matos, Ayman Abunimer, Joel Bartlett, Richard Duszak, Michal Horny, Judy Gichoya, Imon Banerjee, Hari Trivedi
2022	J	`jnl`	Assessing perceived effectiveness of career development efforts led by the women in American Medical Informatics Association Initiative. J. Am. Medical Informatics Assoc. Duo (Helen) Wei, Polina V. Kukhareva, Donghua Tao, Margarita Sordo, Deepti Pandita, Prerna Dua, Imon Banerjee, Joanna Abraham
2022	B	`conf`	Augmenting Vision Language Pretraining by Learning Codebook with Visual Semantics. ICPR Xiaoyuan Guo, Jiali Duan, C.-C. Jay Kuo, Judy Wawira Gichoya, Imon Banerjee
2022	J	`jnl`	Augmenting Vision Language Pretraining by Learning Codebook with Visual Semantics. CoRR Xiaoyuan Guo, Jiali Duan, C.-C. Jay Kuo, Judy Wawira Gichoya, Imon Banerjee
2022	J	`jnl`	Automating Scoliosis Measurements in Radiographic Studies with Machine Learning: Comparing Artificial Intelligence and Clinical Reports. J. Digit. Imaging Audrey Ha, Bao H. Do, Adam L. Bartret, Charles X. Fang, Albert Hsiao, Amelie M. Lutz, Imon Banerjee, Geoffrey M. Riley, Daniel L. Rubin, Kathryn J. Stevens, Erin Wang, Shannon Wang, Christopher F. Beaulieu, Brian Hurt
2022	J	`jnl`	Bridging the Gap between Structured and Free-form Radiology Reporting: A Case-study on Coronary CT Angiography. ACM Trans. Comput. Heal. Amara Tariq, Marly van Assen, Carlo Nicola De Cecco, Imon Banerjee
2022	J	`jnl`	CVAD - An unsupervised image anomaly detector. Softw. Impacts Xiaoyuan Guo, Judy Wawira Gichoya, Saptarshi Purkayastha, Imon Banerjee
2022	—	`conf`	CVAD: An Anomaly Detector for Medical Images Based on Cascade VAE. MILLanD@MICCAI Xiaoyuan Guo, Judy Wawira Gichoya, Saptarshi Purkayastha, Imon Banerjee
2022	J	`jnl`	Generalizable Natural Language Processing Framework for Migraine Reporting from Social Media. CoRR Yuting Guo, Swati Rajwal, Sahithi Lakamana, Chia-Chun Chiang, Paul C. Menell, Adnan H. Shahid, Yi-Chieh Chen, Nikita Chhabra, Wan-Ju Chao, Chieh-Ju Chao, Todd J. Schwedt, Imon Banerjee, Abeed Sarker
2022	—	`conf`	Generating Counterfactual Explanations For Causal Inference in Breast Cancer Treatment Response. CASE Siqiong Zhou, Nicholaus Pfeiffer, Upala J. Islam, Imon Banerjee, Bhavika K. Patel, Ashif Sikandar Iquebal
2022	Misc	`conf`	Graph-based Fusion Modeling and Explanation for Disease Trajectory Prediction. AMIA Amara Tariq, Siyi Tang, Hifza Sakhi, Leo Anthony Celi, Janice M. Newsome, Daniel L. Rubin, Hari Trivedi, Judy Gichoya, Bhavik N. Patel, Imon Banerjee
2022	Misc	`conf`	Impact of COVID-19 on Career and Family Life for Women in AMIA. AMIA Joanna Abraham, Margarita Sordo, Duo Helen Wei, Polina V. Kukhareva, Deepti Pandita, Prerna Dua, Imon Banerjee, Donghua Tao
2022	J	`jnl`	Meta Sparse Principal Component Analysis. CoRR Imon Banerjee, Jean Honorio
2022	J	`jnl`	Multimodal spatiotemporal graph neural networks for improved prediction of 30-day all-cause hospital readmission. CoRR Siyi Tang, Amara Tariq, Jared Dunnmon, Umesh Sharma, Praneetha Elugunti, Daniel L. Rubin, Bhavik N. Patel, Imon Banerjee
2022	—	`conf`	Networking Research Innovations for Telesurgery: A Systematic Review. SDS Pradeeban Kathiravelu, Elhadj Benkhelifa, Zachary Zaiman, Matthew Wang, Ramon Correa, Luís Veiga, Imon Banerjee, Hari Trivedi, Saptarshi Purkayastha, Judy Gichoya, Babak Mahmoudi
2022	B	`conf`	OSCARS: An Outlier-Sensitive Content-Based Radiography Retrieval System. ICMR Xiaoyuan Guo, Jiali Duan, Saptarshi Purkayastha, Hari Trivedi, Judy Wawira Gichoya, Imon Banerjee
2022	J	`jnl`	OSCARS: An Outlier-Sensitive Content-Based Radiography Retrieval System. CoRR Xiaoyuan Guo, Jiali Duan, Saptarshi Purkayastha, Hari Trivedi, Judy Wawira Gichoya, Imon Banerjee
2022	J	`jnl`	Offline Estimation of Controlled Markov Chains: Minimax Nonparametric Estimators and Sample Efficiency. CoRR Imon Banerjee, Harsha Honnappa, Vinayak A. Rao
2022	J	`jnl`	PathologyBERT - Pre-trained Vs. A New Transformer Language Model for Pathology Domain. CoRR Thiago Santos, Amara Tariq, Susmita Das, Kavyasree Vayalpati, Geoffrey H. Smith, Hari Trivedi, Imon Banerjee
2022	—	`conf`	Real-time prediction of cardiovascular diseases using reservoir-computing and fusion with electronic medical record. AICAS Sudarsan Sadasivuni, Vasundhara Damodaran, Imon Banerjee, Arindam Sanyal
2022	C	`conf`	Real-time sepsis prediction using fusion of on-chip analog classifier and electronic medical record. ISCAS Sudarsan Sadasivuni, Monjoy Saha, Sumukh Prashant Bhanushali, Imon Banerjee, Arindam Sanyal
2022	J	`jnl`	Systematic Review of Generative Adversarial Networks (GANs) for Medical Image Classification and Segmentation. J. Digit. Imaging Jiwoong Jason Jeong, Amara Tariq, Tobiloba Adejumo, Hari Trivedi, Judy W. Gichoya, Imon Banerjee
2022	J	`jnl`	The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.5M Screening and Diagnostic Mammograms. CoRR Jiwoong Jason Jeong, Brianna L. Vey, Ananth Reddy Bhimireddy, Thomas Kim, Thiago Santos, Ramon Correa, Raman Dutt, Marina Mosunjac, Gabriela Oprea-Ilies, Geoffrey H. Smith, Minjae Woo, Christopher R. McAdams, Mary S. Newell, Imon Banerjee, Judy Gichoya, Hari Trivedi
2022	J	`jnl`	Towards an internet-scale overlay network for latency-aware decentralized workflows at the edge. Comput. Networks Pradeeban Kathiravelu, Zachary Zaiman, Judy Gichoya, Luís Veiga, Imon Banerjee
2022	J	`jnl`	Transfer language space with similar domain adaptation: a case study with hepatocellular carcinoma. J. Biomed. Semant. Amara Tariq, Omar Kallas, Patricia C. Balthazar, Scott Jeffery Lee, Terry Desser, Daniel L. Rubin, Judy Wawira Gichoya, Imon Banerjee
2021	—	`conf`	7.5nJ/inference CMOS Echo State Network for Coronary Heart Disease prediction. ESSCIRC Sanjeev Tannirkulam Chandrasekaran, Imon Banerjee, Arindam Sanyal
2021	—	`conf`	7.5nJ/inference CMOS Echo State Network for Coronary Heart Disease prediction. ESSDERC Sanjeev Tannirkulam Chandrasekaran, Imon Banerjee, Arindam Sanyal
2021	J	`jnl`	A DICOM Framework for Machine Learning and Processing Pipelines Against Real-time Radiology Images. J. Digit. Imaging Pradeeban Kathiravelu, Puneet Sharma, Ashish Sharma, Imon Banerjee, Hari Trivedi, Saptarshi Purkayastha, Priyanshu Sinha, Alexandre Cadrin-Chenevert, Nabile M. Safdar, Judy Wawira Gichoya
2021	Misc	`conf`	A Fusion NLP Model for the Inference of Standardized Thyroid Nodule Malignancy Scores from Radiology Report Text. AMIA Thiago Santos, Omar Kallas, Janice M. Newsome, Daniel L. Rubin, Judy W. Gichoya, Imon Banerjee
2021	J	`jnl`	CVAD: A generic medical anomaly detector based on Cascade VAE. CoRR Xiaoyuan Guo, Judy Wawira Gichoya, Saptarshi Purkayastha, Imon Banerjee
2021	J	`jnl`	Fully Integrated Analog Machine Learning Classifier Using Custom Activation Function for Low Resolution Image Classification. IEEE Trans. Circuits Syst. I Regul. Pap. Sanjeev Tannirkulam Chandrasekaran, Akshay Jayaraj, Vinay Elkoori Ghantala Karnam, Imon Banerjee, Arindam Sanyal
2021	J	`jnl`	Margin-Aware Intra-Class Novelty Identification for Medical Images. CoRR Xiaoyuan Guo, Judy Wawira Gichoya, Saptarshi Purkayastha, Imon Banerjee
2021	J	`jnl`	MedShift: identifying shift data for medical dataset curation. CoRR Xiaoyuan Guo, Judy Wawira Gichoya, Hari Trivedi, Saptarshi Purkayastha, Imon Banerjee
2021	—	`conf`	Multi-Task Learning Mixed-Signal Classifier for In-situ Detection of Atrial Fibrillation and Sepsis. BioCAS Sudarsan Sadasivuni, Sumukh Prashant Bhanushali, Sai Srinivasa Singamsetti, Imon Banerjee, Arindam Sanyal
2021	J	`jnl`	PAC-Bayes Bounds on Variational Tempered Posteriors for Markov Models. Entropy Imon Banerjee, Vinayak A. Rao, Harsha Honnappa
2021	J	`jnl`	Patient-specific COVID-19 resource utilization prediction using fusion AI model. npj Digit. Medicine Amara Tariq, Leo Anthony Celi, Janice M. Newsome, Saptarshi Purkayastha, Neal Kumar Bhatia, Hari Trivedi, Judy Wawira Gichoya, Imon Banerjee
2021	J	`jnl`	Query bot for retrieving patients' clinical history: A COVID-19 use-case. J. Biomed. Informatics Yibo Wang, Amara Tariq, Fiza Khan, Judy Wawira Gichoya, Hari Trivedi, Imon Banerjee
2021	J	`jnl`	RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR. CoRR Yuyin Zhou, Shih-Cheng Huang, Jason Alan Fries, Alaa Youssef, Timothy J. Amrhein, Marcello Chang, Imon Banerjee, Daniel L. Rubin, Lei Xing, Nigam Shah, Matthew P. Lungren
2021	J	`jnl`	Reading Race: AI Recognises Patient's Racial Identity In Medical Images. CoRR Imon Banerjee, Ananth Reddy Bhimireddy, John L. Burns, Leo Anthony Celi, Li-Ching Chen, Ramon Correa, Natalie Dullerud, Marzyeh Ghassemi, Shih-Cheng Huang, Po-Chih Kuo, Matthew P. Lungren, Lyle J. Palmer, Brandon J. Price, Saptarshi Purkayastha, Ayis Pyrros, Luke Oakden-Rayner, Chima Okechukwu, Laleh Seyyed-Kalantari, Hari Trivedi, Ryan Wang, Zachary Zaiman, Haoran Zhang, Judy W. Gichoya
2021	C	`conf`	Recurrent Neural Network Circuit for Automated Detection of Atrial Fibrillation from Raw ECG. ISCAS Sudarsan Sadasivuni, Rahul Chowdhury, Vinay Elkoori Ghantala Karnam, Imon Banerjee, Arindam Sanyal
2021	J	`jnl`	Toward Real-Time, At-Home Patient Health Monitoring Using Reservoir Computing CMOS IC. IEEE J. Emerg. Sel. Topics Circuits Syst. Sanjeev Tannirkulam Chandrasekaran, Sumukh Prashant Bhanushali, Imon Banerjee, Arindam Sanyal
2021	J	`jnl`	Two-step adversarial debiasing with partial learning - medical image case-studies. CoRR Ramon Correa, Jiwoong Jason Jeong, Bhavik N. Patel, Hari Trivedi, Judy W. Gichoya, Imon Banerjee
2020	J	`jnl`	A Scalable Natural Language Processing for Inferring BT-RADS Categorization from Unstructured Brain Magnetic Resonance Reports. J. Digit. Imaging Scott Jeffery Lee, Brent D. Weinberg, Ashwani Gore, Imon Banerjee
2020	J	`jnl`	Author Correction: PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging. npj Digit. Medicine Shih-Cheng Huang, Tanay Kothari, Imon Banerjee, Christopher Chute, Robyn L. Ball, Norah Borus, Andrew C. Huang, Bhavik N. Patel, Pranav Rajpurkar, Jeremy Irvin, Jared Dunnmon, Joseph Bledsoe, Katie S. Shpanskaya, Abhay Dhaliwal, Roham Zamanian, Andrew Y. Ng, Matthew P. Lungren
2020	B	`conf`	Automatic Breast Cancer Cohort Detection from Social Media for Studying Factors Affecting Patient-Centered Outcomes. AIME Mohammed Ali Al-Garadi, Yuan-Chi Yang, Sahithi Lakamana, Jie Lin, Sabrina Li, Angel Xie, Whitney Hogg-Bremer, Mylin Torres, Imon Banerjee, Abeed Sarker
2020	A*	`conf`	Cancer Treatment Classification with Electronic Medical Health Records (Student Abstract). AAAI Jiaming Zeng, Imon Banerjee, Michael Francis Gensheimer, Daniel L. Rubin
2020	J	`jnl`	Developing and Deploying Machine Learning Pipelines against Real-Time Image Streams from the PACS. CoRR Pradeeban Kathiravelu, Ashish Sharma, Saptarshi Purkayastha, Priyanshu Sinha, Alexandre Cadrin-Chenevert, Imon Banerjee, Judy Wawira Gichoya
2020	—	`conf`	Digital Machine Learning Circuit for Real-Time Stress Detection from Wearable ECG Sensor. MWSCAS Sumukh Prashant Bhanushali, Sudarsan Sadasivuni, Imon Banerjee, Arindam Sanyal
2020	J	`jnl`	Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines. npj Digit. Medicine Shih-Cheng Huang, Anuj Pareek, Saeed Seyyedi, Imon Banerjee, Matthew P. Lungren
2020	J	`jnl`	Generalization of Deep Convolutional Neural Networks - A Case-study on Open-source Chest Radiographs. CoRR Nazanin Mashhaditafreshi, Amara Tariq, Judy Wawira Gichoya, Imon Banerjee
2020	J	`jnl`	PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging. npj Digit. Medicine Shih-Cheng Huang, Tanay Kothari, Imon Banerjee, Christopher Chute, Robyn L. Ball, Norah Borus, Andrew C. Huang, Bhavik N. Patel, Pranav Rajpurkar, Jeremy Irvin, Jared Dunnmon, Joseph Bledsoe, Katie S. Shpanskaya, Abhay Dhaliwal, Roham Zamanian, Andrew Y. Ng, Matthew P. Lungren
2020	J	`jnl`	Was there COVID-19 back in 2012? Challenge for AI in Diagnosis with Similar Indications. CoRR Imon Banerjee, Priyanshu Sinha, Saptarshi Purkayastha, Nazanin Mashhaditafreshi, Amara Tariq, Jiwoong Jason Jeong, Hari Trivedi, Judy W. Gichoya
2019	J	`jnl`	A Deep-learning Approach for Prognosis of Age-Related Macular Degeneration Disease using SD-OCT Imaging Biomarkers. CoRR Imon Banerjee, Luis de Sisternes, Joelle A. Hallak, Theodore Leng, Aaron Osborne, Mary Durbin, Daniel L. Rubin
2019	J	`jnl`	Automated Detection of Measurements and Their Descriptors in Radiology Reports Using a Hybrid Natural Language Processing Algorithm. J. Digit. Imaging Selen Bozkurt, Emel Alkim, Imon Banerjee, Daniel L. Rubin
2019	J	`jnl`	Automatic inference of BI-RADS final assessment categories from narrative mammography report findings. J. Biomed. Informatics Imon Banerjee, Selen Bozkurt, Emel Alkim, Hersh Sagreiya, Allison W. Kurian, Daniel L. Rubin
2019	C	`conf`	Common-Source Amplifier Based Analog Artificial Neural Network Classifier. ISCAS Akshay Jayaraj, Imon Banerjee, Arindam Sanyal
2019	J	`jnl`	Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification. Artif. Intell. Medicine Imon Banerjee, Yuan Ling, Matthew C. Chen, Sadid A. Hasan, Curtis P. Langlotz, Nathaniel Moradzadeh, Brian E. Chapman, Timothy Amrhein, David A. Mong, Daniel L. Rubin, Oladimeji Farri, Matthew P. Lungren
2019	Misc	`conf`	Detecting unanticipated actions downstream from clinical decision support: a data mining approach. AMIA Ron C. Li, Imon Banerjee, Daniel L. Rubin, Jonathan H. Chen
2019	—	`conf`	Feature-based Characterisation of Patient-specific 3D Anatomical Models. STAG Imon Banerjee, Martina Paccini, Enrico Ferrari, Chiara Eva Catalano, Silvia Biasotti, Michela Spagnuolo
2019	J	`jnl`	Maximum Likelihood Estimation-Based SAR ADC. IEEE Trans. Circuits Syst. II Express Briefs Akshay Jayaraj, Sanjeev Tannirkulam Chandrasekaran, Archana Ganesh, Imon Banerjee, Arindam Sanyal
2019	J	`jnl`	On Convergence of the Class Membership Estimator in Fuzzy $k$-Nearest Neighbor Classifier. IEEE Trans. Fuzzy Syst. Imon Banerjee, Sankha Subhra Mullick, Swagatam Das
2019	Misc	`conf`	Prediction of Imaging Outcomes from Electronic Health Records: Pulmonary Embolism Case-Study. AMIA Imon Banerjee, Miji Sofela, Timothy Amrhein, Daniel L. Rubin, Roham Zamanian, Matthew P. Lungren
2018	Misc	`conf`	A Scalable Machine Learning Approach for Inferring Probabilistic US-LI-RADS Categorization. AMIA Imon Banerjee, Hailey H. Choi, Terry S. Desser, Daniel L. Rubin
2018	J	`jnl`	A Scalable Machine Learning Approach for Inferring Probabilistic US-LI-RADS Categorization. CoRR Imon Banerjee, Hailey H. Choi, Terry S. Desser, Daniel L. Rubin
2018	J	`jnl`	Automatic information extraction from unstructured mammography reports using distributed semantics. J. Biomed. Informatics Anupama Gupta, Imon Banerjee, Daniel L. Rubin
2018	J	`jnl`	Probabilistic Prognostic Estimates of Survival in Metastatic Cancer Patients (PPES-Met) Utilizing Free-Text Clinical Narratives. CoRR Imon Banerjee, Michael Francis Gensheimer, Douglas J. Wood, Solomon Henry, Daniel T. Chang, Daniel L. Rubin
2018	J	`jnl`	Radiology report annotation using intelligent word embeddings: Applied to multi-institutional chest CT cohort. J. Biomed. Informatics Imon Banerjee, Matthew C. Chen, Matthew P. Lungren, Daniel L. Rubin
2018	J	`jnl`	Relevance feedback for enhancing content based image retrieval and automatic prediction of semantic image features: Application to bone tumor radiographs. J. Biomed. Informatics Imon Banerjee, Camille Kurtz, Alon Edward Devorah, Bao H. Do, Daniel L. Rubin, Christopher F. Beaulieu
2018	J	`jnl`	Supporting shared hypothesis testing in the biomedical domain. J. Biomed. Semant. Asan Agibetov, Ernesto Jiménez-Ruiz, Marta Ondresik, Alessandro Solimando, Imon Banerjee, Giovanna Guerrini, Chiara Eva Catalano, Joaquim Miguel Oliveira, Giuseppe Patanè, Rui Luís Reis, Michela Spagnuolo
2018	J	`jnl`	Transfer learning on fused multiparametric MR images for classifying histopathological subtypes of rhabdomyosarcoma. Comput. Medical Imaging Graph. Imon Banerjee, Alexis Crawley, Mythili Bhethanabotla, Heike E. Daldrup-Link, Daniel L. Rubin
2017	J	`jnl`	Combination of visual and symbolic knowledge: A survey in anatomy. Comput. Biol. Medicine Imon Banerjee, Giuseppe Patanè, Michela Spagnuolo
2017	J	`jnl`	Computerized Prediction of Radiological Observations Based on Quantitative Feature Analysis: Initial Experience in Liver Lesions. J. Digit. Imaging Imon Banerjee, Christopher F. Beaulieu, Daniel L. Rubin
2017	—	`conf`	Inferring Generative Model Structure with Static Analysis. NIPS Paroma Varma, Bryan D. He, Payal Bajaj, Nishith Khandwala, Imon Banerjee, Daniel L. Rubin, Christopher Ré
2017	J	`jnl`	Inferring Generative Model Structure with Static Analysis. CoRR Paroma Varma, Bryan D. He, Payal Bajaj, Imon Banerjee, Nishith Khandwala, Daniel L. Rubin, Christopher Ré
2017	Misc	`conf`	Intelligent Word Embeddings of Free-Text Radiology Reports. AMIA Imon Banerjee, Sriraman Madhavan, Roger Eric Goldman, Daniel L. Rubin
2017	J	`jnl`	Intelligent Word Embeddings of Free-Text Radiology Reports. CoRR Imon Banerjee, Sriraman Madhavan, Roger Eric Goldman, Daniel L. Rubin
2016	J	`jnl`	An Energy-Efficient VCO-Based Matrix Multiplier Block to Support On-Chip Image Analysis. CoRR Imon Banerjee, Arindam Sanyal
2016	J	`jnl`	Computerized Multiparametric MR image Analysis for Prostate Cancer Aggressiveness-Assessment. CoRR Imon Banerjee, Lewis Hahn, Geoffrey A. Sonn, Richard E. Fan, Daniel L. Rubin
2016	J	`jnl`	Semantic annotation of 3D anatomical models to support diagnosis and follow-up analysis of musculoskeletal pathologies. Int. J. Comput. Assist. Radiol. Surg. Imon Banerjee, Chiara Eva Catalano, Giuseppe Patanè, Michela Spagnuolo
2016	J	`jnl`	Semantics-driven annotation of patient-specific 3D data: a step to assist diagnosis and treatment of rheumatoid arthritis. Vis. Comput. Imon Banerjee, Asan Agibetov, Chiara Eva Catalano, Giuseppe Patanè, Michela Spagnuolo
2015	—	`conf`	Generation of 3D Canonical Anatomical Models: An Experience on Carpal Bones. ICIAP Workshops Imon Banerjee, Hamid Laga, Giuseppe Patanè, Sebastian Kurtek, Anuj Srivastava, Michela Spagnuolo
2015	—	`conf`	SemAnatomy3D: Annotation of Patient-Specific Anatomy. STAG Imon Banerjee, Giuseppe Patanè, Michela Spagnuolo
2015	C	`conf`	Semantic Annotation of Patient-Specific 3D Anatomical Models. CW Imon Banerjee, Asan Agibetov, Chiara Eva Catalano, Giuseppe Patanè, Michela Spagnuolo
2014	—	`ch.`	Accessing and Representing Knowledge in the Medical Field: Visual and Lexical Modalities. 3D Multiscale Physiological Human Imon Banerjee, Chiara Eva Catalano, Francesco Robbiano, Michela Spagnuolo
2014	—	`conf`	Knowledge Management in Medicine - A Framework to Organize, Browse and Retrieve Medical Data. HEALTHINF Marios Pitikakis, Imon Banerjee
2010	—	`conf`	An Ontology Based Framework for Domain Analysis of Interactive System. IC3 (1) Shrutilipi Bhattacharjee, Imon Banerjee, Animesh Datta
2010	—	`conf`	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