Imon Banerjee

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 100

Top Venues

CoRR

J. Biomed. Informatics

AMIA

J. Digit. Imaging

Publications

Man Luo, Christopher J. Warren, Lu Cheng, Haidar M. Abdul-Muhsin, Imon Banerjee
Assessing Empathy in Large Language Models with Real-World Physician-Patient Interactions. CoRR (2024)
Siqiong Zhou, Upala J. Islam, Nicholaus Pfeiffer, Imon Banerjee, Bhavika K. Patel, Ashif Sikandar Iquebal
SCGAN: Sparse CounterGAN for Counterfactual Explanations in Breast Cancer Prediction. IEEE Trans Autom. Sci. Eng. 21 (3) (2024)
Ramon Correa, Khushbu Pahwa, Bhavik N. Patel, Celine M. Vachon, Judy W. Gichoya, Imon Banerjee
Efficient adversarial debiasing with concept activation vector - Medical image case-studies. J. Biomed. Informatics 149 (2024)
Aisha Urooj Khan, John W. Garrett, Tyler J. Bradshaw, Lonie Salkowski, Jiwoong Jason Jeong, Amara Tariq, Imon Banerjee
Knowledge-grounded Adaptation Strategy for Vision-language Models: Building Unique Case-set for Screening Mammograms for Residents Training. CoRR (2024)
Sudarsan Sadasivuni, Monjoy Saha, Sumukh Prashant Bhanushali, Imon Banerjee, Arindam Sanyal
In-Sensor Artificial Intelligence and Fusion With Electronic Medical Records for At-Home Monitoring. IEEE Trans. Biomed. Circuits Syst. 17 (2) (2023)
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 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
Developing an Echocardiography-Based, Automatic Deep Learning Framework for the Differentiation of Increased Left Ventricular Wall Thickness Etiologies. J. Imaging 9 (2) (2023)
Imon Banerjee, Melissa A. Davis, Brianna L. Vey, Sina Mazaheri, Fiza Khan, Vaz Zavaletta, Roger Gerard, Judy Wawira Gichoya, Bhavik Patel
Natural Language Processing Model for Identifying Critical Findings - A Multi-Institutional Study. J. Digit. Imaging 36 (1) (2023)
Timothy Barry, Juan Maria Farina, Chieh-Ju Chao, Chadi Ayoub, Jiwoong Jason Jeong, Bhavik N. Patel, Imon Banerjee, Reza Arsanjani
The Role of Artificial Intelligence in Echocardiography. J. Imaging 9 (2) (2023)
Linglin Zhang, Beatrice Brown-Mulry, Vineela Nalla, InChan Hwang, Judy Wawira Gichoya, Aimilia Gastounioti, Imon Banerjee, Laleh Seyyed-Kalantari, Minjae Woo, Hari Trivedi
Performance Gaps of Artificial Intelligence Models Screening Mammography - Towards Fair and Interpretable Models. CoRR (2023)
Xiaoyuan Guo, Judy Wawira Gichoya, Hari Trivedi, Saptarshi Purkayastha, Imon Banerjee
MedShift: Automated Identification of Shift Data for Medical Image Dataset Curation. IEEE J. Biomed. Health Informatics 27 (8) (2023)
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
Hierarchical Classification System for Breast Cancer Specimen Report (HCSBC) - an end-to-end model for characterizing severity and diagnosis. CoRR (2023)
Amara Tariq, Kris Goddard, Praneetha Elugunti, Kristina Piorkowski, Jared Staal, Allison Viramontes, Imon Banerjee, Bhavik N. Patel
Contrastive diagnostic embedding (CDE) model for automated coding - A case study using emergency department encounters. Int. J. Medical Informatics 179 (2023)
Amara Tariq, Siyi Tang, Hifza Sakhi, Leo Anthony Celi, Janice M. Newsome, Daniel L. Rubin, Hari Trivedi, Judy Gichoya, Bhavik N. Patel, Imon Banerjee
Graph-Based Fusion of Imaging and Non-Imaging Data for Disease Trajectory Prediction. NER (2023)
Amara Tariq, Lin Lancaster, Praneetha Elugunti, Eric Siebeneck, Katherine Noe, Bijan Borah, James Moriarty, Imon Banerjee, Bhavik N. Patel
Graph convolutional network-based fusion model to predict risk of hospital acquired infections. J. Am. Medical Informatics Assoc. 30 (6) (2023)
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
Artificial Intelligence-Based Prediction of Cardiovascular Diseases from Chest Radiography. J. Imaging 9 (11) (2023)
Sumukh Prashant Bhanushali, Sudarsan Sadasivuni, Jose Sanchez, Imon Banerjee, Arindam Sanyal
Fully Integrated Mixed-Signal Classifier for Cardiovascular Health Monitoring. BioCAS (2023)
Ramon L. Correa-Medero, Bhavik N. Patel, Imon Banerjee
Adversarial Debiasing techniques towards 'fair' skin lesion classification. NER (2023)
Siyi Tang, Amara Tariq, Jared A. Dunnmon, Umesh Sharma, Praneetha Elugunti, Daniel L. Rubin, Bhavik N. Patel, Imon Banerjee
Predicting 30-Day All-Cause Hospital Readmission Using Multimodal Spatiotemporal Graph Neural Networks. IEEE J. Biomed. Health Informatics 27 (4) (2023)
Amara Tariq, Marly Van Assen, Carlo N. De Cecco, Imon Banerjee
Bridging the Gap between Structured and Free-form Radiology Reporting: A Case-study on Coronary CT Angiography. ACM Trans. Comput. Heal. 3 (1) (2022)
Xiaoyuan Guo, Judy Wawira Gichoya, Saptarshi Purkayastha, Imon Banerjee
CVAD - An unsupervised image anomaly detector. Softw. Impacts 11 (2022)
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
Generalizable Natural Language Processing Framework for Migraine Reporting from Social Media. CoRR (2022)
Xiaoyuan Guo, Jiali Duan, Saptarshi Purkayastha, Hari Trivedi, Judy Wawira Gichoya, Imon Banerjee
OSCARS: An Outlier-Sensitive Content-Based Radiography Retrieval System. ICMR (2022)
Siqiong Zhou, Nicholaus Pfeiffer, Upala J. Islam, Imon Banerjee, Bhavika K. Patel, Ashif Sikandar Iquebal
Generating Counterfactual Explanations For Causal Inference in Breast Cancer Treatment Response. CASE (2022)
Sudarsan Sadasivuni, Sumukh Prashant Bhanushali, Imon Banerjee, Arindam Sanyal
A 43.6 TOPS/W AI Classifier with Sensor Fusion for Sepsis Onset Prediction. BioCAS (2022)
Thiago Santos, Amara Tariq, Susmita Das, Kavyasree Vayalpati, Geoffrey H. Smith, Hari Trivedi, Imon Banerjee
PathologyBERT - Pre-trained Vs. A New Transformer Language Model for Pathology Domain. CoRR (2022)
Xiaoyuan Guo, Judy Wawira Gichoya, Saptarshi Purkayastha, Imon Banerjee
CVAD: An Anomaly Detector for Medical Images Based on Cascade VAE. MILLanD@MICCAI (2022)
Sudarsan Sadasivuni, Monjoy Sahay, Sumukh Prashant Bhanushali, Imon Banerjee, Arindam Sanyal
Real-time sepsis prediction using fusion of on-chip analog classifier and electronic medical record. ISCAS (2022)
Pradeeban Kathiravelu, Elhadj Benkhelifa, Zachary Zaiman, Matthew Wang, Ramon Correa, Luís Veiga, Imon Banerjee, Hari Trivedi, Saptarshi Purkayastha, Judy Gichoya, Babak Mahmoudi
Networking Research Innovations for Telesurgery: A Systematic Review. SDS (2022)
Xiaoyuan Guo, Jiali Duan, C.-C. Jay Kuo, Judy Wawira Gichoya, Imon Banerjee
Augmenting Vision Language Pretraining by Learning Codebook with Visual Semantics. ICPR (2022)
Joanna Abraham, Margarita Sordo, Duo Helen Wei, Polina V. Kukhareva, Deepti Pandita, Prerna Dua, Imon Banerjee, Donghua Tao
Impact of COVID-19 on Career and Family Life for Women in AMIA. AMIA (2022)
Amara Tariq, Omar Kallas, Patricia Balthazar, Scott Jeffery Lee, Terry Desser, Daniel Rubin, Judy Wawira Gichoya, Imon Banerjee
Transfer language space with similar domain adaptation: a case study with hepatocellular carcinoma. J. Biomed. Semant. 13 (1) (2022)
Shuja Khalid, Francisco Matos, Ayman Abunimer, Joel Bartlett, Richard Duszak, Michal Horny, Judy Gichoya, Imon Banerjee, Hari Trivedi
Advances in Prediction of Readmission Rates Using Long Term Short Term Memory Networks on Healthcare Insurance Data. CoRR (2022)
Pradeeban Kathiravelu, Zachary Zaiman, Judy Gichoya, Luís Veiga, Imon Banerjee
Towards an internet-scale overlay network for latency-aware decentralized workflows at the edge. Comput. Networks 203 (2022)
Imon Banerjee, Jean Honorio
Meta Sparse Principal Component Analysis. CoRR (2022)
Imon Banerjee, Harsha Honnappa, Vinayak A. Rao
Offline Estimation of Controlled Markov Chains: Minimax Nonparametric Estimators and Sample Efficiency. CoRR (2022)
Xiaoyuan Guo, Jiali Duan, Saptarshi Purkayastha, Hari Trivedi, Judy Wawira Gichoya, Imon Banerjee
OSCARS: An Outlier-Sensitive Content-Based Radiography Retrieval System. CoRR (2022)
Sudarsan Sadasivuni, Vasundhara Damodaran, Imon Banerjee, Arindam Sanyal
Real-time prediction of cardiovascular diseases using reservoir-computing and fusion with electronic medical record. AICAS (2022)
Amara Tariq, Siyi Tang, Hifza Sakhi, Leo Anthony Celi, Janice Newsome, Daniel Rubin, Hari Trivedi, Judy Gichoya, Bhavik Patel, Imon Banerjee
Graph-based Fusion Modeling and Explanation for Disease Trajectory Prediction. AMIA (2022)
Xiaoyuan Guo, Jiali Duan, C.-C. Jay Kuo, Judy Wawira Gichoya, Imon Banerjee
Augmenting Vision Language Pretraining by Learning Codebook with Visual Semantics. CoRR (2022)
Duo (Helen) Wei, Polina V. Kukhareva, Donghua Tao, Margarita Sordo, Deepti Pandita, Prerna Dua, Imon Banerjee, Joanna Abraham
Assessing perceived effectiveness of career development efforts led by the women in American Medical Informatics Association Initiative. J. Am. Medical Informatics Assoc. 29 (9) (2022)
Siyi Tang, Amara Tariq, Jared Dunnmon, Umesh Sharma, Praneetha Elugunti, Daniel Rubin, Bhavik N. Patel, Imon Banerjee
Multimodal spatiotemporal graph neural networks for improved prediction of 30-day all-cause hospital readmission. CoRR (2022)
Josh Sanyal, Daniel Rubin, Imon Banerjee
A weakly supervised model for the automated detection of adverse events using clinical notes. J. Biomed. Informatics 126 (2022)
Jiwoong Jason Jeong, Brianna L. Vey, Ananth Reddy Bhimireddy, Thomas Kim, Thiago Santos, Ramon Correa, Raman Dutt, Marina Mosunjac, Gabriela Oprea-Ilies, Geoffrey Smith, Minjae Woo, Christopher R. McAdams, Mary S. Newell, Imon Banerjee, Judy Gichoya, Hari Trivedi
The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.5M Screening and Diagnostic Mammograms. CoRR (2022)
Jiwoong Jason Jeong, Amara Tariq, Tobiloba Adejumo, Hari Trivedi, Judy W. Gichoya, Imon Banerjee
Systematic Review of Generative Adversarial Networks (GANs) for Medical Image Classification and Segmentation. J. Digit. Imaging 35 (2) (2022)
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
Automating Scoliosis Measurements in Radiographic Studies with Machine Learning: Comparing Artificial Intelligence and Clinical Reports. J. Digit. Imaging 35 (3) (2022)
Sanjeev Tannirkulam Chandrasekaran, Akshay Jayaraj, Vinay Elkoori Ghantala Karnam, Imon Banerjee, Arindam Sanyal
Fully Integrated Analog Machine Learning Classifier Using Custom Activation Function for Low Resolution Image Classification. IEEE Trans. Circuits Syst. I Regul. Pap. 68 (3) (2021)
Sudarsan Sadasivuni, Sumukh Prashant Bhanushali, Sai Srinivasa Singamsetti, Imon Banerjee, Arindam Sanyal
Multi-Task Learning Mixed-Signal Classifier for In-situ Detection of Atrial Fibrillation and Sepsis. BioCAS (2021)
Sudarsan Sadasivuni, Rahul Chowdhury, Vinay Elkoori Ghantala Karnam, Imon Banerjee, Arindam Sanyal
Recurrent Neural Network Circuit for Automated Detection of Atrial Fibrillation from Raw ECG. ISCAS (2021)
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
Reading Race: AI Recognises Patient's Racial Identity In Medical Images. CoRR (2021)
Sanjeev Tannirkulam Chandrasekaran, Imon Banerjee, Arindam Sanyal
7.5nJ/inference CMOS Echo State Network for Coronary Heart Disease prediction. ESSCIRC (2021)
Yuyin Zhou, Shih-Cheng Huang, Jason Alan Fries, Alaa Youssef, Timothy J. Amrhein, Marcello Chang, Imon Banerjee, Daniel Rubin, Lei Xing, Nigam Shah, Matthew P. Lungren
RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR. CoRR (2021)
Pradeeban Kathiravelu, Puneet Sharma, Ashish Sharma, Imon Banerjee, Hari Trivedi, Saptarshi Purkayastha, Priyanshu Sinha, Alexandre Cadrin-Chenevert, Nabile Safdar, Judy Wawira Gichoya
A DICOM Framework for Machine Learning and Processing Pipelines Against Real-time Radiology Images. J. Digit. Imaging 34 (4) (2021)
Yibo Wang, Amara Tariq, Fiza Khan, Judy Wawira Gichoya, Hari Trivedi, Imon Banerjee
Query bot for retrieving patients' clinical history: A COVID-19 use-case. J. Biomed. Informatics 123 (2021)
Xiaoyuan Guo, Judy Wawira Gichoya, Saptarshi Purkayastha, Imon Banerjee
CVAD: A generic medical anomaly detector based on Cascade VAE. CoRR (2021)
Thiago Santos, Omar Kallas, Janice Newsome, Daniel Rubin, Judy W. Gichoya, Imon Banerjee
A Fusion NLP Model for the Inference of Standardized Thyroid Nodule Malignancy Scores from Radiology Report Text. AMIA (2021)
Xiaoyuan Guo, Judy Wawira Gichoya, Hari Trivedi, Saptarshi Purkayastha, Imon Banerjee
MedShift: identifying shift data for medical dataset curation. CoRR (2021)
Sanjeev Tannirkulam Chandrasekaran, Sumukh Prashant Bhanushali, Imon Banerjee, Arindam Sanyal
Toward Real-Time, At-Home Patient Health Monitoring Using Reservoir Computing CMOS IC. IEEE J. Emerg. Sel. Topics Circuits Syst. 11 (4) (2021)
Ramon Correa, Jiwoong Jason Jeong, Bhavik Patel, Hari Trivedi, Judy W. Gichoya, Imon Banerjee
Two-step adversarial debiasing with partial learning - medical image case-studies. CoRR (2021)
Xiaoyuan Guo, Judy Wawira Gichoya, Saptarshi Purkayastha, Imon Banerjee
Margin-Aware Intra-Class Novelty Identification for Medical Images. CoRR (2021)
Imon Banerjee, Vinayak A. Rao, Harsha Honnappa
PAC-Bayes Bounds on Variational Tempered Posteriors for Markov Models. Entropy 23 (3) (2021)
Sanjeev Tannirkulam Chandrasekaran, Imon Banerjee, Arindam Sanyal
7.5nJ/inference CMOS Echo State Network for Coronary Heart Disease prediction. ESSDERC (2021)
Amara Tariq, Leo Anthony Celi, Janice M. Newsome, Saptarshi Purkayastha, Neal Kumar Bhatia, Hari Trivedi, Judy Wawira Gichoya, Imon Banerjee
Patient-specific COVID-19 resource utilization prediction using fusion AI model. npj Digit. Medicine 4 (2021)
Sumukh Prashant Bhanushali, Sudarsan Sadasivuni, Imon Banerjee, Arindam Sanyal
Digital Machine Learning Circuit for Real-Time Stress Detection from Wearable ECG Sensor. MWSCAS (2020)
Scott J. Lee, Brent D. Weinberg, Ashwani Gore, Imon Banerjee
A Scalable Natural Language Processing for Inferring BT-RADS Categorization from Unstructured Brain Magnetic Resonance Reports. J. Digit. Imaging 33 (6) (2020)
Mohammed Ali Al-Garadi, Yuan-Chi Yang, Sahithi Lakamana, Jie Lin, Sabrina Li, Angel Xie, Whitney Hogg-Bremer, Mylin Torres, Imon Banerjee, Abeed Sarker
Automatic Breast Cancer Cohort Detection from Social Media for Studying Factors Affecting Patient-Centered Outcomes. AIME (2020)
Shih-Cheng Huang, Tanay Kothari, Imon Banerjee, Chris Chute, Robyn L. Ball, Norah Borus, Andrew 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
PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging. npj Digit. Medicine 3 (2020)
Nazanin Mashhaditafreshi, Amara Tariq, Judy Wawira Gichoya, Imon Banerjee
Generalization of Deep Convolutional Neural Networks - A Case-study on Open-source Chest Radiographs. CoRR (2020)
Shih-Cheng Huang, Tanay Kothari, Imon Banerjee, Chris Chute, Robyn L. Ball, Norah Borus, Andrew 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
Author Correction: PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging. npj Digit. Medicine 3 (2020)
Imon Banerjee, Priyanshu Sinha, Saptarshi Purkayastha, Nazanin Mashhaditafreshi, Amara Tariq, Jiwoong Jason Jeong, Hari Trivedi, Judy W. Gichoya
Was there COVID-19 back in 2012? Challenge for AI in Diagnosis with Similar Indications. CoRR (2020)
Shih-Cheng Huang, Anuj Pareek, Saeed Seyyedi, Imon Banerjee, Matthew P. Lungren
Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines. npj Digit. Medicine 3 (2020)
Pradeeban Kathiravelu, Ashish Sharma, Saptarshi Purkayastha, Priyanshu Sinha, Alexandre Cadrin-Chenevert, Imon Banerjee, Judy Wawira Gichoya
Developing and Deploying Machine Learning Pipelines against Real-Time Image Streams from the PACS. CoRR (2020)
Jiaming Zeng, Imon Banerjee, Michael Francis Gensheimer, Daniel Rubin
Cancer Treatment Classification with Electronic Medical Health Records (Student Abstract). AAAI (2020)
Imon Banerjee, Selen Bozkurt, Emel Alkim, Hersh Sagreiya, Allison W. Kurian, Daniel L. Rubin
Automatic inference of BI-RADS final assessment categories from narrative mammography report findings. J. Biomed. Informatics 92 (2019)
Imon Banerjee, Martina Paccini, Enrico Ferrari, Chiara Eva Catalano, Silvia Biasotti, Michela Spagnuolo
Feature-based Characterisation of Patient-specific 3D Anatomical Models. STAG (2019)
Ron C. Li, Imon Banerjee, Daniel Rubin, Jonathan H. Chen
Detecting unanticipated actions downstream from clinical decision support: a data mining approach. AMIA (2019)
Akshay Jayaraj, Imon Banerjee, Arindam Sanyal
Common-Source Amplifier Based Analog Artificial Neural Network Classifier. ISCAS (2019)
Selen Bozkurt, Emel Alkim, Imon Banerjee, Daniel L. Rubin
Automated Detection of Measurements and Their Descriptors in Radiology Reports Using a Hybrid Natural Language Processing Algorithm. J. Digit. Imaging 32 (4) (2019)
Imon Banerjee, Miji Sofela, Timothy Amrhein, Daniel L. Rubin, Roham Zamanian, Matthew P. Lungren
Prediction of Imaging Outcomes from Electronic Health Records: Pulmonary Embolism Case-Study. AMIA (2019)
Imon Banerjee, Sankha Subhra Mullick, Swagatam Das
On Convergence of the Class Membership Estimator in Fuzzy $k$-Nearest Neighbor Classifier. IEEE Trans. Fuzzy Syst. 27 (6) (2019)
Imon Banerjee, Luis de Sisternes, Joelle A. Hallak, Theodore Leng, Aaron Osborne, Mary Durbin, Daniel L. Rubin
A Deep-learning Approach for Prognosis of Age-Related Macular Degeneration Disease using SD-OCT Imaging Biomarkers. CoRR (2019)
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
Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification. Artif. Intell. Medicine 97 (2019)
Akshay Jayaraj, Sanjeev Tannirkulam Chandrasekaran, Archana Ganesh, Imon Banerjee, Arindam Sanyal
Maximum Likelihood Estimation-Based SAR ADC. IEEE Trans. Circuits Syst. II Express Briefs (8) (2019)
Imon Banerjee, Matthew C. Chen, Matthew P. Lungren, Daniel L. Rubin
Radiology report annotation using intelligent word embeddings: Applied to multi-institutional chest CT cohort. J. Biomed. Informatics 77 (2018)
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
Supporting shared hypothesis testing in the biomedical domain. J. Biomed. Semant. 9 (1) (2018)
Imon Banerjee, Hailey H. Choi, Terry S. Desser, Daniel L. Rubin
A Scalable Machine Learning Approach for Inferring Probabilistic US-LI-RADS Categorization. AMIA (2018)
Imon Banerjee, Camille Kurtz, Alon Edward Devorah, Bao H. Do, Daniel L. Rubin, Christopher F. Beaulieu
Relevance feedback for enhancing content based image retrieval and automatic prediction of semantic image features: Application to bone tumor radiographs. J. Biomed. Informatics 84 (2018)
Imon Banerjee, Alexis Crawley, Mythili Bhethanabotla, Heike E. Daldrup-Link, Daniel L. Rubin
Transfer learning on fused multiparametric MR images for classifying histopathological subtypes of rhabdomyosarcoma. Comput. Medical Imaging Graph. 65 (2018)
Anupama Gupta, Imon Banerjee, Daniel L. Rubin
Automatic information extraction from unstructured mammography reports using distributed semantics. J. Biomed. Informatics 78 (2018)
Imon Banerjee, Michael Francis Gensheimer, Douglas J. Wood, Solomon Henry, Daniel T. Chang, Daniel L. Rubin
Probabilistic Prognostic Estimates of Survival in Metastatic Cancer Patients (PPES-Met) Utilizing Free-Text Clinical Narratives. CoRR (2018)
Imon Banerjee, Hailey H. Choi, Terry S. Desser, Daniel L. Rubin
A Scalable Machine Learning Approach for Inferring Probabilistic US-LI-RADS Categorization. CoRR (2018)
Imon Banerjee, Sriraman Madhavan, Roger Eric Goldman, Daniel L. Rubin
Intelligent Word Embeddings of Free-Text Radiology Reports. AMIA (2017)
Imon Banerjee, Sriraman Madhavan, Roger Eric Goldman, Daniel L. Rubin
Intelligent Word Embeddings of Free-Text Radiology Reports. CoRR (2017)
Paroma Varma, Bryan D. He, Payal Bajaj, Nishith Khandwala, Imon Banerjee, Daniel L. Rubin, Christopher Ré
Inferring Generative Model Structure with Static Analysis. NIPS (2017)
Paroma Varma, Bryan D. He, Payal Bajaj, Imon Banerjee, Nishith Khandwala, Daniel L. Rubin, Christopher Ré
Inferring Generative Model Structure with Static Analysis. CoRR (2017)
Imon Banerjee, Christopher F. Beaulieu, Daniel L. Rubin
Computerized Prediction of Radiological Observations Based on Quantitative Feature Analysis: Initial Experience in Liver Lesions. J. Digit. Imaging 30 (4) (2017)
Imon Banerjee, Giuseppe Patanè, Michela Spagnuolo
Combination of visual and symbolic knowledge: A survey in anatomy. Comput. Biol. Medicine 80 (2017)
Imon Banerjee, Arindam Sanyal
An Energy-Efficient VCO-Based Matrix Multiplier Block to Support On-Chip Image Analysis. CoRR (2016)
Imon Banerjee, Chiara Eva Catalano, Giuseppe Patanè, Michela Spagnuolo
Semantic annotation of 3D anatomical models to support diagnosis and follow-up analysis of musculoskeletal pathologies. Int. J. Comput. Assist. Radiol. Surg. 11 (5) (2016)
Imon Banerjee, Asan Agibetov, Chiara Eva Catalano, Giuseppe Patanè, Michela Spagnuolo
Semantics-driven annotation of patient-specific 3D data: a step to assist diagnosis and treatment of rheumatoid arthritis. Vis. Comput. 32 (10) (2016)
Imon Banerjee, Lewis Hahn, Geoffrey A. Sonn, Richard E. Fan, Daniel L. Rubin
Computerized Multiparametric MR image Analysis for Prostate Cancer Aggressiveness-Assessment. CoRR (2016)

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Publication Activity (10 Years)

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Imon Banerjee