An Ontology Based Framework for Domain Analysis of Interactive System. - Shrutilipi Bhattacharjee; Imon Banerjee; Animesh Datta (IC3 (1), 2010)

Framework for Domain Analysis of Teleteaching System: A Semiformal Approach. - Animesh Datta; Imon Banerjee; Shrutilipi Bhattacharjee; Ranjan Dasgupta; Swapan Bhattacharya (Software Engineering Research and Practice, 2010)

Accessing and Representing Knowledge in the Medical Field: Visual and Lexical Modalities. - Imon Banerjee; Chiara Eva Catalano; Francesco Robbiano; Michela Spagnuolo (3D Multiscale Physiological Human, 2014)

Knowledge Management in Medicine - A Framework to Organize, Browse and Retrieve Medical Data. - Marios Pitikakis; Imon Banerjee (HEALTHINF, 2014)

Semantic Annotation of Patient-Specific 3D Anatomical Models. - Imon Banerjee; Asan Agibetov; Chiara Eva Catalano; Giuseppe Patanè 001; Michela Spagnuolo (CW, 2015)

SemAnatomy3D: Annotation of Patient-Specific Anatomy. - Imon Banerjee; Giuseppe Patanè 001; Michela Spagnuolo (STAG, 2015)

Generation of 3D Canonical Anatomical Models: An Experience on Carpal Bones. - Imon Banerjee; Hamid Laga; Giuseppe Patanè 001; Sebastian Kurtek; Anuj Srivastava; Michela Spagnuolo (ICIAP Workshops, 2015)

Semantic annotation of 3D anatomical models to support diagnosis and follow-up analysis of musculoskeletal pathologies. - Imon Banerjee; Chiara Eva Catalano; Giuseppe Patanè 001; Michela Spagnuolo (Int. J. Comput. Assist. Radiol. Surg., 2016)

Computerized Multiparametric MR image Analysis for Prostate Cancer Aggressiveness-Assessment. - Imon Banerjee; Lewis Hahn; Geoffrey A. Sonn; Richard E. Fan; Daniel L. Rubin (CoRR, 2016)

An Energy-Efficient VCO-Based Matrix Multiplier Block to Support On-Chip Image Analysis. - Imon Banerjee; Arindam Sanyal (CoRR, 2016)

Semantics-driven annotation of patient-specific 3D data: a step to assist diagnosis and treatment of rheumatoid arthritis. - Imon Banerjee; Asan Agibetov; Chiara Eva Catalano; Giuseppe Patanè 001; Michela Spagnuolo (Vis. Comput., 2016)

Intelligent Word Embeddings of Free-Text Radiology Reports. - Imon Banerjee; Sriraman Madhavan; Roger Eric Goldman; Daniel L. Rubin (AMIA, 2017)

Inferring Generative Model Structure with Static Analysis. - Paroma Varma; Bryan D. He; Payal Bajaj; Nishith Khandwala; Imon Banerjee; Daniel L. Rubin; Christopher Ré (NIPS, 2017)

Combination of visual and symbolic knowledge: A survey in anatomy. - Imon Banerjee; Giuseppe Patanè 001; Michela Spagnuolo (Comput. Biol. Medicine, 2017)

Computerized Prediction of Radiological Observations Based on Quantitative Feature Analysis: Initial Experience in Liver Lesions. - Imon Banerjee; Christopher F. Beaulieu; Daniel L. Rubin (J. Digit. Imaging, 2017)

A Scalable Machine Learning Approach for Inferring Probabilistic US-LI-RADS Categorization. - Imon Banerjee; Hailey H. Choi; Terry S. Desser; Daniel L. Rubin (AMIA, 2018)

Supporting shared hypothesis testing in the biomedical domain. - Asan Agibetov; Ernesto Jiménez-Ruiz; Marta Ondresik; Alessandro Solimando; Imon Banerjee; Giovanna Guerrini; Chiara Eva Catalano; Joaquim Miguel Oliveira; Giuseppe Patanè 001; Rui Luís Reis; Michela Spagnuolo (J. Biomed. Semant., 2018)

Transfer learning on fused multiparametric MR images for classifying histopathological subtypes of rhabdomyosarcoma. - Imon Banerjee; Alexis Crawley; Mythili Bhethanabotla; Heike E. Daldrup-Link; Daniel L. Rubin (Comput. Medical Imaging Graph., 2018)

Probabilistic Prognostic Estimates of Survival in Metastatic Cancer Patients (PPES-Met) Utilizing Free-Text Clinical Narratives. - Imon Banerjee; Michael Francis Gensheimer; Douglas J. Wood; Solomon Henry; Daniel T. Chang; Daniel L. Rubin (CoRR, 2018)

Radiology report annotation using intelligent word embeddings: Applied to multi-institutional chest CT cohort. - Imon Banerjee; Matthew C. Chen; Matthew P. Lungren; Daniel L. Rubin (J. Biomed. Informatics, 2018)

Relevance feedback for enhancing content based image retrieval and automatic prediction of semantic image features: Application to bone tumor radiographs. - Imon Banerjee; Camille Kurtz; Alon Edward Devorah; Bao H. Do; Daniel L. Rubin; Christopher F. Beaulieu (J. Biomed. Informatics, 2018)

Automatic information extraction from unstructured mammography reports using distributed semantics. - Anupama Gupta; Imon Banerjee; Daniel L. Rubin (J. Biomed. Informatics, 2018)

Prediction of Imaging Outcomes from Electronic Health Records: Pulmonary Embolism Case-Study. - Imon Banerjee; Miji Sofela; Timothy Amrhein; Daniel L. Rubin; Roham Zamanian; Matthew P. Lungren (AMIA, 2019)

Detecting unanticipated actions downstream from clinical decision support: a data mining approach. - Ron C. Li; Imon Banerjee; Daniel L. Rubin; Jonathan H. Chen (AMIA, 2019)

Feature-based Characterisation of Patient-specific 3D Anatomical Models. - Imon Banerjee; Martina Paccini; Enrico Ferrari; Chiara Eva Catalano; Silvia Biasotti; Michela Spagnuolo (STAG, 2019)

Common-Source Amplifier Based Analog Artificial Neural Network Classifier. - Akshay Jayaraj; Imon Banerjee; Arindam Sanyal (ISCAS, 2019)

Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification. - 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 (Artif. Intell. Medicine, 2019)

A Deep-learning Approach for Prognosis of Age-Related Macular Degeneration Disease using SD-OCT Imaging Biomarkers. - Imon Banerjee; Luis de Sisternes; Joelle A. Hallak; Theodore Leng; Aaron Osborne; Mary Durbin; Daniel L. Rubin (CoRR, 2019)

Automatic inference of BI-RADS final assessment categories from narrative mammography report findings. - Imon Banerjee; Selen Bozkurt; Emel Alkim; Hersh Sagreiya; Allison W. Kurian; Daniel L. Rubin (J. Biomed. Informatics, 2019)

Automated Detection of Measurements and Their Descriptors in Radiology Reports Using a Hybrid Natural Language Processing Algorithm. - Selen Bozkurt; Emel Alkim; Imon Banerjee; Daniel L. Rubin (J. Digit. Imaging, 2019)

Maximum Likelihood Estimation-Based SAR ADC. - Akshay Jayaraj; Sanjeev Tannirkulam Chandrasekaran; Archana Ganesh; Imon Banerjee; Arindam Sanyal (IEEE Trans. Circuits Syst. II Express Briefs, 2019)

On Convergence of the Class Membership Estimator in Fuzzy $k$-Nearest Neighbor Classifier. - Imon Banerjee; Sankha Subhra Mullick; Swagatam Das (IEEE Trans. Fuzzy Syst., 2019)

Cancer Treatment Classification with Electronic Medical Health Records (Student Abstract). - Jiaming Zeng; Imon Banerjee; Michael Francis Gensheimer; Daniel L. Rubin (AAAI, 2020)

Automatic Breast Cancer Cohort Detection from Social Media for Studying Factors Affecting Patient-Centered Outcomes. - Mohammed Ali Al-Garadi; Yuan-Chi Yang; Sahithi Lakamana; Jie Lin; Sabrina Li; Angel Xie; Whitney Hogg-Bremer; Mylin Torres; Imon Banerjee; Abeed Sarker (AIME, 2020)

Digital Machine Learning Circuit for Real-Time Stress Detection from Wearable ECG Sensor. - Sumukh Prashant Bhanushali; Sudarsan Sadasivuni; Imon Banerjee; Arindam Sanyal (MWSCAS, 2020)

Developing and Deploying Machine Learning Pipelines against Real-Time Image Streams from the PACS. - Pradeeban Kathiravelu; Ashish Sharma 001; Saptarshi Purkayastha; Priyanshu Sinha; Alexandre Cadrin-Chenevert; Imon Banerjee; Judy Wawira Gichoya (CoRR, 2020)

Was there COVID-19 back in 2012? Challenge for AI in Diagnosis with Similar Indications. - Imon Banerjee; Priyanshu Sinha; Saptarshi Purkayastha; Nazanin Mashhaditafreshi; Amara Tariq; Jiwoong Jason Jeong; Hari Trivedi; Judy W. Gichoya (CoRR, 2020)

Generalization of Deep Convolutional Neural Networks - A Case-study on Open-source Chest Radiographs. - Nazanin Mashhaditafreshi; Amara Tariq; Judy Wawira Gichoya; Imon Banerjee (CoRR, 2020)

A Scalable Natural Language Processing for Inferring BT-RADS Categorization from Unstructured Brain Magnetic Resonance Reports. - Scott Jeffery Lee; Brent D. Weinberg; Ashwani Gore; Imon Banerjee (J. Digit. Imaging, 2020)

PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging. - Shih-Cheng Huang; Tanay Kothari; Imon Banerjee; Christopher Chute; Robyn L. Ball; Norah Borus; Andrew Huang; Bhavik N. Patel; Pranav Rajpurkar; Jeremy Irvin; Jared Dunnmon; Joseph Bledsoe; et al. (npj Digit. Medicine, 2020)

Author Correction: PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging. - Shih-Cheng Huang; Tanay Kothari; Imon Banerjee; Christopher Chute; Robyn L. Ball; Norah Borus; Andrew Huang; Bhavik N. Patel; Pranav Rajpurkar; Jeremy Irvin; Jared Dunnmon; Joseph Bledsoe; et al. (npj Digit. Medicine, 2020)

Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines. - Shih-Cheng Huang; Anuj Pareek; Saeed Seyyedi; Imon Banerjee; Matthew P. Lungren (npj Digit. Medicine, 2020)

A Fusion NLP Model for the Inference of Standardized Thyroid Nodule Malignancy Scores from Radiology Report Text. - Thiago Santos; Omar Kallas; Janice M. Newsome; Daniel L. Rubin; Judy W. Gichoya; Imon Banerjee (AMIA, 2021)

Multi-Task Learning Mixed-Signal Classifier for In-situ Detection of Atrial Fibrillation and Sepsis. - Sudarsan Sadasivuni; Sumukh Prashant Bhanushali; Sai Srinivasa Singamsetti; Imon Banerjee; Arindam Sanyal (BioCAS, 2021)

7.5nJ/inference CMOS Echo State Network for Coronary Heart Disease prediction. - Sanjeev Tannirkulam Chandrasekaran; Imon Banerjee; Arindam Sanyal (ESSDERC, 2021)

Recurrent Neural Network Circuit for Automated Detection of Atrial Fibrillation from Raw ECG. - Sudarsan Sadasivuni; Rahul Chowdhury; Vinay Elkoori Ghantala Karnam; Imon Banerjee; Arindam Sanyal (ISCAS, 2021)

Reading Race: AI Recognises Patient's Racial Identity In Medical Images. - 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; et al. (CoRR, 2021)

Margin-Aware Intra-Class Novelty Identification for Medical Images. - Xiaoyuan Guo; Judy Wawira Gichoya; Saptarshi Purkayastha; Imon Banerjee (CoRR, 2021)

CVAD: A generic medical anomaly detector based on Cascade VAE. - Xiaoyuan Guo; Judy Wawira Gichoya; Saptarshi Purkayastha; Imon Banerjee (CoRR, 2021)

Two-step adversarial debiasing with partial learning - medical image case-studies. - Ramon Correa; Jiwoong Jason Jeong; Bhavik N. Patel; Hari Trivedi; Judy W. Gichoya; Imon Banerjee (CoRR, 2021)

RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR. - Yuyin Zhou; Shih-Cheng Huang; Jason Alan Fries; Alaa Youssef; Timothy J. Amrhein; Marcello Chang; Imon Banerjee; Daniel L. Rubin; Lei Xing 001; Nigam Shah; Matthew P. Lungren (CoRR, 2021)

MedShift: identifying shift data for medical dataset curation. - Xiaoyuan Guo; Judy Wawira Gichoya; Hari Trivedi; Saptarshi Purkayastha; Imon Banerjee (CoRR, 2021)

PAC-Bayes Bounds on Variational Tempered Posteriors for Markov Models. - Imon Banerjee; Vinayak A. Rao; Harsha Honnappa (Entropy, 2021)

Toward Real-Time, At-Home Patient Health Monitoring Using Reservoir Computing CMOS IC. - Sanjeev Tannirkulam Chandrasekaran; Sumukh Prashant Bhanushali; Imon Banerjee; Arindam Sanyal (IEEE J. Emerg. Sel. Topics Circuits Syst., 2021)

Query bot for retrieving patients' clinical history: A COVID-19 use-case. - Yibo Wang 001; Amara Tariq; Fiza Khan; Judy Wawira Gichoya; Hari Trivedi; Imon Banerjee (J. Biomed. Informatics, 2021)

A DICOM Framework for Machine Learning and Processing Pipelines Against Real-time Radiology Images. - Pradeeban Kathiravelu; Puneet Sharma; Ashish Sharma 001; Imon Banerjee; Hari Trivedi; Saptarshi Purkayastha; Priyanshu Sinha; Alexandre Cadrin-Chenevert; Nabile M. Safdar; Judy Wawira Gichoya (J. Digit. Imaging, 2021)

Patient-specific COVID-19 resource utilization prediction using fusion AI model. - Amara Tariq; Leo Anthony Celi; Janice M. Newsome; Saptarshi Purkayastha; Neal Kumar Bhatia; Hari Trivedi; Judy Wawira Gichoya; Imon Banerjee (npj Digit. Medicine, 2021)

Fully Integrated Analog Machine Learning Classifier Using Custom Activation Function for Low Resolution Image Classification. - Sanjeev Tannirkulam Chandrasekaran; Akshay Jayaraj; Vinay Elkoori Ghantala Karnam; Imon Banerjee; Arindam Sanyal (IEEE Trans. Circuits Syst. I Regul. Pap., 2021)

Real-time prediction of cardiovascular diseases using reservoir-computing and fusion with electronic medical record. - Sudarsan Sadasivuni; Vasundhara Damodaran; Imon Banerjee; Arindam Sanyal (AICAS, 2022)

Impact of COVID-19 on Career and Family Life for Women in AMIA. - Joanna Abraham; Margarita Sordo; Duo Helen Wei; Polina V. Kukhareva; Deepti Pandita; Prerna Dua; Imon Banerjee; Donghua Tao (AMIA, 2022)

Graph-based Fusion Modeling and Explanation for Disease Trajectory Prediction. - Amara Tariq; Siyi Tang; Hifza Sakhi; Leo Anthony Celi; Janice M. Newsome; Daniel L. Rubin; Hari Trivedi; Judy Gichoya; Bhavik N. Patel; Imon Banerjee (AMIA, 2022)

A 43.6 TOPS/W AI Classifier with Sensor Fusion for Sepsis Onset Prediction. - Sudarsan Sadasivuni; Sumukh Prashant Bhanushali; Imon Banerjee; Arindam Sanyal (BioCAS, 2022)

Generating Counterfactual Explanations For Causal Inference in Breast Cancer Treatment Response. - Siqiong Zhou; Nicholaus Pfeiffer; Upala J. Islam; Imon Banerjee; Bhavika K. Patel; Ashif Sikandar Iquebal (CASE, 2022)

Augmenting Vision Language Pretraining by Learning Codebook with Visual Semantics. - Xiaoyuan Guo; Jiali Duan; C.-C. Jay Kuo; Judy Wawira Gichoya; Imon Banerjee (ICPR, 2022)

Real-time sepsis prediction using fusion of on-chip analog classifier and electronic medical record. - Sudarsan Sadasivuni; Monjoy Saha; Sumukh Prashant Bhanushali; Imon Banerjee; Arindam Sanyal (ISCAS, 2022)

CVAD: An Anomaly Detector for Medical Images Based on Cascade VAE. - Xiaoyuan Guo; Judy Wawira Gichoya; Saptarshi Purkayastha; Imon Banerjee (MILLanD@MICCAI, 2022)

OSCARS: An Outlier-Sensitive Content-Based Radiography Retrieval System. - Xiaoyuan Guo; Jiali Duan; Saptarshi Purkayastha; Hari Trivedi; Judy Wawira Gichoya; Imon Banerjee (ICMR, 2022)

Networking Research Innovations for Telesurgery: A Systematic Review. - Pradeeban Kathiravelu; Elhadj Benkhelifa; Zachary Zaiman; Matthew Wang; Ramon Correa; Luís Veiga; Imon Banerjee; Hari Trivedi; Saptarshi Purkayastha; Judy Gichoya; Babak Mahmoudi (SDS, 2022)

Transfer language space with similar domain adaptation: a case study with hepatocellular carcinoma. - Amara Tariq; Omar Kallas; Patricia C. Balthazar; Scott Jeffery Lee; Terry Desser; Daniel L. Rubin; Judy Wawira Gichoya; Imon Banerjee (J. Biomed. Semant., 2022)

Towards an internet-scale overlay network for latency-aware decentralized workflows at the edge. - Pradeeban Kathiravelu; Zachary Zaiman; Judy Gichoya; Luís Veiga; Imon Banerjee (Comput. Networks, 2022)

The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.5M Screening and Diagnostic Mammograms. - 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; et al. (CoRR, 2022)

Multimodal spatiotemporal graph neural networks for improved prediction of 30-day all-cause hospital readmission. - Siyi Tang; Amara Tariq; Jared Dunnmon; Umesh Sharma; Praneetha Elugunti; Daniel L. Rubin; Bhavik N. Patel; Imon Banerjee (CoRR, 2022)

PathologyBERT - Pre-trained Vs. A New Transformer Language Model for Pathology Domain. - Thiago Santos; Amara Tariq; Susmita Das; Kavyasree Vayalpati; Geoffrey H. Smith; Hari Trivedi; Imon Banerjee (CoRR, 2022)

Advances in Prediction of Readmission Rates Using Long Term Short Term Memory Networks on Healthcare Insurance Data. - Shuja Khalid; Francisco Matos; Ayman Abunimer; Joel Bartlett; Richard Duszak; Michal Horny; Judy Gichoya; Imon Banerjee; Hari Trivedi (CoRR, 2022)

Meta Sparse Principal Component Analysis. - Imon Banerjee; Jean Honorio (CoRR, 2022)

Offline Estimation of Controlled Markov Chains: Minimax Nonparametric Estimators and Sample Efficiency. - Imon Banerjee; Harsha Honnappa; Vinayak A. Rao (CoRR, 2022)

Generalizable Natural Language Processing Framework for Migraine Reporting from Social Media. - 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; et al. (CoRR, 2022)

Bridging the Gap between Structured and Free-form Radiology Reporting: A Case-study on Coronary CT Angiography. - Amara Tariq; Marly van Assen; Carlo Nicola De Cecco; Imon Banerjee (ACM Trans. Comput. Heal., 2022)

Assessing perceived effectiveness of career development efforts led by the women in American Medical Informatics Association Initiative. - Duo (Helen) Wei; Polina V. Kukhareva; Donghua Tao; Margarita Sordo; Deepti Pandita; Prerna Dua; Imon Banerjee; Joanna Abraham (J. Am. Medical Informatics Assoc., 2022)

A weakly supervised model for the automated detection of adverse events using clinical notes. - Josh Sanyal; Daniel L. Rubin; Imon Banerjee (J. Biomed. Informatics, 2022)

Automating Scoliosis Measurements in Radiographic Studies with Machine Learning: Comparing Artificial Intelligence and Clinical Reports. - 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; et al. (J. Digit. Imaging, 2022)

Systematic Review of Generative Adversarial Networks (GANs) for Medical Image Classification and Segmentation. - Jiwoong Jason Jeong; Amara Tariq; Tobiloba Adejumo; Hari Trivedi; Judy W. Gichoya; Imon Banerjee (J. Digit. Imaging, 2022)

CVAD - An unsupervised image anomaly detector. - Xiaoyuan Guo; Judy Wawira Gichoya; Saptarshi Purkayastha; Imon Banerjee (Softw. Impacts, 2022)

Fully Integrated Mixed-Signal Classifier for Cardiovascular Health Monitoring. - Sumukh Prashant Bhanushali; Sudarsan Sadasivuni; Jose Sanchez; Imon Banerjee; Arindam Sanyal (BioCAS, 2023)

Adversarial Debiasing techniques towards 'fair' skin lesion classification. - Ramon L. Correa-Medero; Bhavik N. Patel; Imon Banerjee (NER, 2023)

Graph-Based Fusion of Imaging and Non-Imaging Data for Disease Trajectory Prediction. - Amara Tariq; Siyi Tang; Hifza Sakhi; Leo Anthony Celi; Janice M. Newsome; Daniel L. Rubin; Hari Trivedi; Judy Gichoya; Bhavik N. Patel; Imon Banerjee (NER, 2023)

Performance Gaps of Artificial Intelligence Models Screening Mammography - Towards Fair and Interpretable Models. - Linglin Zhang; Beatrice Brown-Mulry; Vineela Nalla; InChan Hwang; Judy Wawira Gichoya; Aimilia Gastounioti; Imon Banerjee; Laleh Seyyed-Kalantari; Minjae Woo; Hari Trivedi (CoRR, 2023)

Hierarchical Classification System for Breast Cancer Specimen Report (HCSBC) - an end-to-end model for characterizing severity and diagnosis. - 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 (CoRR, 2023)

Graph convolutional network-based fusion model to predict risk of hospital acquired infections. - Amara Tariq; Lin Lancaster; Praneetha Elugunti; Eric Siebeneck; Katherine Noe; Bijan Borah; James Moriarty; Imon Banerjee; Bhavik N. Patel (J. Am. Medical Informatics Assoc., 2023)

The Role of Artificial Intelligence in Echocardiography. - Timothy Barry; Juan Maria Farina; Chieh-Ju Chao; Chadi Ayoub; Jiwoong Jason Jeong; Bhavik N. Patel; Imon Banerjee; Reza Arsanjani (J. Imaging, 2023)

Artificial Intelligence-Based Prediction of Cardiovascular Diseases from Chest Radiography. - 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 (J. Imaging, 2023)

Developing an Echocardiography-Based, Automatic Deep Learning Framework for the Differentiation of Increased Left Ventricular Wall Thickness Etiologies. - 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; et al. (J. Imaging, 2023)

Natural Language Processing Model for Identifying Critical Findings - A Multi-Institutional Study. - Imon Banerjee; Melissa A. Davis; Brianna L. Vey; Sina Mazaheri; Fiza Khan; Vaz Zavaletta; Roger Gerard; Judy Wawira Gichoya; Bhavik N. Patel (J. Digit. Imaging, 2023)

In-Sensor Artificial Intelligence and Fusion With Electronic Medical Records for At-Home Monitoring. - Sudarsan Sadasivuni; Monjoy Saha; Sumukh Prashant Bhanushali; Imon Banerjee; Arindam Sanyal (IEEE Trans. Biomed. Circuits Syst., 2023)

Predicting 30-Day All-Cause Hospital Readmission Using Multimodal Spatiotemporal Graph Neural Networks. - Siyi Tang; Amara Tariq; Jared A. Dunnmon; Umesh Sharma; Praneetha Elugunti; Daniel L. Rubin; Bhavik N. Patel; Imon Banerjee (IEEE J. Biomed. Health Informatics, 2023)

MedShift: Automated Identification of Shift Data for Medical Image Dataset Curation. - Xiaoyuan Guo; Judy Wawira Gichoya; Hari Trivedi; Saptarshi Purkayastha; Imon Banerjee (IEEE J. Biomed. Health Informatics, 2023)

Contrastive diagnostic embedding (CDE) model for automated coding - A case study using emergency department encounters. - Amara Tariq; Kris Goddard; Praneetha Elugunti; Kristina Piorkowski; Jared Staal; Allison Viramontes; Imon Banerjee; Bhavik N. Patel (Int. J. Medical Informatics, 2023)

Assessing Empathy in Large Language Models with Real-World Physician-Patient Interactions. - Man Luo; Christopher J. Warren; Lu Cheng 001; Haidar M. Abdul-Muhsin; Imon Banerjee (IEEE Big Data, 2024)

AI-Enabled Fusion of Electrocardiograph and Demographics for Prediction of Acute Kidney Injury Onset. - Vasundhara Damodaran; Jose Sanchez; Tushar Gupta; Phaneendra Bikkina; Esko Mikkola; Haidar M. Abdul-Muhsin; Imon Banerjee; Arindam Sanyal (BioCAS, 2024)

Mixed-Signal Classifier Chip on Flexible Substrate for Cardiovascular Health Monitoring. - Jose Sanchez; Sumukh Prashant Bhanushali; Sudarsan Sadasivuni; Imon Banerjee; Arindam Sanyal (BioCAS, 2024)

Multi-modal Predictive Model for MACE Risk Estimation in Patients with Migraine. - Amara Tariq; Oana M. Dumitrascu; Man Luo; Gina Dumkrieger; Todd J. Schwedt; Catherine D. Chong; Imon Banerjee (ICHI, 2024)

Knowledge-Grounded Adaptation Strategy for Vision-Language Models: Building a Unique Case-Set for Screening Mammograms for Residents Training. - Aisha Urooj Khan; John W. Garrett; Tyler J. Bradshaw; Lonie Salkowski; Jiwoong Jason Jeong; Amara Tariq; Imon Banerjee (MICCAI (12), 2024)

Assessing Empathy in Large Language Models with Real-World Physician-Patient Interactions. - Man Luo; Christopher J. Warren; Lu Cheng; Haidar M. Abdul-Muhsin; Imon Banerjee (CoRR, 2024)

Unsupervised Hybrid framework for ANomaly Detection (HAND) - applied to Screening Mammogram. - Zhemin Zhang; Bhavika Patel; Bhavik N. Patel; Imon Banerjee (CoRR, 2024)

Call for papers: Special issue on biomedical multimodal large language models - novel approaches and applications. - Jiang Bian 001; Yifan Peng 002; Eneida A. Mendonça; Imon Banerjee; Hua Xu 001; Hong Sun; Ye Ye; Casey Overby Taylor; Anália Maria Garcia Lourenço; Alejandro Rodríguez González; Elena Tutubalina (J. Biomed. Informatics, 2024)

Efficient adversarial debiasing with concept activation vector - Medical image case-studies. - Ramon Correa; Khushbu Pahwa; Bhavik N. Patel; Celine M. Vachon; Judy W. Gichoya; Imon Banerjee (J. Biomed. Informatics, 2024)

SCGAN: Sparse CounterGAN for Counterfactual Explanations in Breast Cancer Prediction. - Siqiong Zhou; Upala J. Islam; Nicholaus Pfeiffer; Imon Banerjee; Bhavika K. Patel; Ashif Sikandar Iquebal (IEEE Trans Autom. Sci. Eng., 2024)

Unsupervised Generative Approach for Anomaly Detection to Enhance the Quality of Unseen Medical Datasets. - Zhemin Zhang; Bhavika Patel; Bhavik Patel; Imon Banerjee (WACV (Workshops), 2025)

Joint fusion of EHR and ECG data using attention-based CNN and ViT for predicting adverse clinical endpoints in percutaneous coronary intervention patients. - Arjun Thakur; Pradyumna Agasthi; Chieh-Ju Chao; Juan Maria Farina; David R. Holmes 001; David F. Fortuin; Chadi Ayoub; Reza Arsanjani; Imon Banerjee (Comput. Biol. Medicine, 2025)

Off-line Estimation of Controlled Markov Chains: Minimaxity and Sample Complexity. - Imon Banerjee; Harsha Honnappa; Vinayak Rao (Oper. Res., 2025)

Adaptable graph neural networks design to support generalizability for clinical event prediction. - Amara Tariq; Gurkiran Kaur; Leon Su; Judy Gichoya; Bhavik N. Patel; Imon Banerjee (J. Biomed. Informatics, 2025)

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray. - Mingquan Lin; Gregory Holste; Song Wang 026; Yiliang Zhou; Yishu Wei; Imon Banerjee; Pengyi Chen; Tianjie Dai; Yuexi Du; Nicha C. Dvornek; Yuyan Ge; Zuwei Guo; et al. (Medical Image Anal., 2025)

Foundation versus domain-specific models for left ventricular segmentation on cardiac ultrasound. - 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; et al. (npj Digit. Medicine, 2025)

Weakly supervised language models for automated extraction of critical findings from radiology reports. - Avisha Das; Ish A. Talati; Juan Manuel Zambrano Chaves; Daniel L. Rubin; Imon Banerjee (npj Digit. Medicine, 2025)

Deep Gaussian process with uncertainty estimation for microsatellite instability and immunotherapy response prediction from histology. - 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; et al. (npj Digit. Medicine, 2025)

Benchmark on Peer Review Toxic Detection: A Challenging Task with a New Dataset. - Man Luo; Bradley Peterson; Rafael Gan; Hari Ramalingame; Navya Gangrade; Ariadne Dimarogona; Imon Banerjee; Phillip Howard (CoRR, 2025)

Goggin's corrected Kalman Filter: Guarantees and Filtering Regimes. - Imon Banerjee; Itai Gurvich (CoRR, 2025)

Novel AI-Based Quantification of Breast Arterial Calcification to Predict Cardiovascular Risk. - Theodorus Dapamede; Aisha Urooj; Vedant Joshi; Gabrielle Gershon; Frank Li 005; Mohammadreza Chavoshi; Beatrice Brown-Mulry; Rohan Satya Isaac; Aawez Mansuri; Chad Robichaux; Chadi Ayoub; Reza Arsanjani; et al. (CoRR, 2025)

Opportunistic Screening for Pancreatic Cancer using Computed Tomography Imaging and Radiology Reports. - David Le; Ramon L. Correa-Medero; Amara Tariq; Bhavik N. Patel; Motoyo Yano; Imon Banerjee (CoRR, 2025)

Patient-centric Summarization of Radiology Findings Using Two-step Training of Large Language Models. - Amara Tariq; Shubham Trivedi; Aisha Urooj; Gokul Ramasamy; Sam Fathizadeh; Matthew Stib; Nelly Tan; Bhavik N. Patel; Imon Banerjee (ACM Trans. Comput. Heal., 2025)

Position: Restructuring of Categories and Implementation of Guidelines Essential for VLM Adoption in Healthcare. - Amara Tariq; Rimita Lahiri; Charles Kahn; Imon Banerjee (CoRR, 2025)

CLT and Edgeworth Expansion for m-out-of-n Bootstrap Estimators of The Studentized Median. - Imon Banerjee; Sayak Chakrabarty (CoRR, 2025)

Multi-Analyte, Swab-based Automated Wound Monitor with AI. - Madhu Babu Sikha; Lalith Appari; Gurudatt Nanjanagudu Ganesh; Amay Bandodkar; Imon Banerjee (CoRR, 2025)

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray. - Mingquan Lin; Gregory Holste; Song Wang 026; Yiliang Zhou; Yishu Wei; Imon Banerjee; Pengyi Chen; Tianjie Dai; Yuexi Du; Nicha C. Dvornek; Yuyan Ge; Zuowei Guo; et al. (CoRR, 2025)

MOSCARD - Causal Reasoning and De-confounding for Multimodal Opportunistic Screening of Cardiovascular Adverse Events. - Jialu Pi; Juan Maria Farina; Rimita Lahiri; Jiwoong Jason Jeong; Archana Gurudu; Hyung-Bok Park; Chieh-Ju Chao; Chadi Ayoub; Reza Arsanjani; Imon Banerjee (CoRR, 2025)