default search action
Imon Banerjee
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j44]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: 104548 (2024) - [j43]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:
Call for papers: Special issue on biomedical multimodal large language models - novel approaches and applications. J. Biomed. Informatics 157: 104703 (2024) - [j42]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): 2264-2275 (2024) - [c36]Amara Tariq, Oana Dumitrascu, Man Luo, Gina Dumkrieger, Todd J. Schwedt, Catherine D. Chong, Imon Banerjee:
Multi-modal Predictive Model for MACE Risk Estimation in Patients with Migraine. ICHI 2024: 684-687 - [c35]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 a Unique Case-Set for Screening Mammograms for Residents Training. MICCAI (12) 2024: 587-598 - [i30]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 abs/2405.16402 (2024) - [i29]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 abs/2405.19675 (2024) - [i28]Zhemin Zhang, Bhavika Patel, Bhavik Patel, Imon Banerjee:
Unsupervised Hybrid framework for ANomaly Detection (HAND) - applied to Screening Mammogram. CoRR abs/2409.11534 (2024) - 2023
- [j41]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: 105212 (2023) - [j40]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): 1056-1067 (2023) - [j39]Imon Banerjee, Melissa A. Davis, Brianna L. Vey, Sina Mazaheri, Fiza Khan, Vaz Zavaletta, Roger Gerard, Judy Wawira Gichoya, Bhavik N. Patel:
Natural Language Processing Model for Identifying Critical Findings - A Multi-Institutional Study. J. Digit. Imaging 36(1): 105-113 (2023) - [j38]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:
Developing an Echocardiography-Based, Automatic Deep Learning Framework for the Differentiation of Increased Left Ventricular Wall Thickness Etiologies. J. Imaging 9(2): 48 (2023) - [j37]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): 50 (2023) - [j36]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): 236 (2023) - [j35]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): 312-322 (2023) - [j34]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): 2071-2082 (2023) - [j33]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): 3936-3947 (2023) - [c34]Sumukh Prashant Bhanushali, Sudarsan Sadasivuni, Jose Sanchez, Imon Banerjee, Arindam Sanyal:
Fully Integrated Mixed-Signal Classifier for Cardiovascular Health Monitoring. BioCAS 2023: 1-5 - [c33]Ramon L. Correa-Medero, Bhavik N. Patel, Imon Banerjee:
Adversarial Debiasing techniques towards 'fair' skin lesion classification. NER 2023: 1-4 - [c32]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: 1-4 - [i27]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 abs/2305.04422 (2023) - [i26]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 abs/2312.12442 (2023) - 2022
- [j32]Amara Tariq, Omar Kallas, Patricia C. Balthazar, Scott Jeffery Lee, Terry Desser, Daniel L. Rubin, Judy Wawira Gichoya, Imon Banerjee:
Transfer language space with similar domain adaptation: a case study with hepatocellular carcinoma. J. Biomed. Semant. 13(1): 8 (2022) - [j31]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: 108654 (2022) - [j30]Amara Tariq, Marly van Assen, Carlo Nicola 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): 7:1-7:20 (2022) - [j29]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): 1593-1606 (2022) - [j28]Josh Sanyal, Daniel L. Rubin, Imon Banerjee:
A weakly supervised model for the automated detection of adverse events using clinical notes. J. Biomed. Informatics 126: 103969 (2022) - [j27]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): 137-152 (2022) - [j26]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): 524-533 (2022) - [j25]Xiaoyuan Guo, Judy Wawira Gichoya, Saptarshi Purkayastha, Imon Banerjee:
CVAD - An unsupervised image anomaly detector. Softw. Impacts 11: 100195 (2022) - [c31]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: 58-61 - [c30]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 - [c29]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 Modeling and Explanation for Disease Trajectory Prediction. AMIA 2022 - [c28]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: 569-572 - [c27]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: 955-960 - [c26]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: 4779-4785 - [c25]Sudarsan Sadasivuni, Monjoy Saha, Sumukh Prashant Bhanushali, Imon Banerjee, Arindam Sanyal:
Real-time sepsis prediction using fusion of on-chip analog classifier and electronic medical record. ISCAS 2022: 1635-1639 - [c24]Xiaoyuan Guo, Judy Wawira Gichoya, Saptarshi Purkayastha, Imon Banerjee:
CVAD: An Anomaly Detector for Medical Images Based on Cascade VAE. MILLanD@MICCAI 2022: 187-196 - [c23]Xiaoyuan Guo, Jiali Duan, Saptarshi Purkayastha, Hari Trivedi, Judy Wawira Gichoya, Imon Banerjee:
OSCARS: An Outlier-Sensitive Content-Based Radiography Retrieval System. ICMR 2022: 11-18 - [c22]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: 1-8 - [i25]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:
The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.5M Screening and Diagnostic Mammograms. CoRR abs/2202.04073 (2022) - [i24]Xiaoyuan Guo, Jiali Duan, Saptarshi Purkayastha, Hari Trivedi, Judy Wawira Gichoya, Imon Banerjee:
OSCARS: An Outlier-Sensitive Content-Based Radiography Retrieval System. CoRR abs/2204.03074 (2022) - [i23]Siyi Tang, Amara Tariq, Jared Dunnmon, Umesh Sharma, Praneetha Elugunti, Daniel L. Rubin, Bhavik N. Patel, Imon Banerjee:
Multimodal spatiotemporal graph neural networks for improved prediction of 30-day all-cause hospital readmission. CoRR abs/2204.06766 (2022) - [i22]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 abs/2205.06885 (2022) - [i21]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 abs/2207.00066 (2022) - [i20]Xiaoyuan Guo, Jiali Duan, C.-C. Jay Kuo, Judy Wawira Gichoya, Imon Banerjee:
Augmenting Vision Language Pretraining by Learning Codebook with Visual Semantics. CoRR abs/2208.00475 (2022) - [i19]Imon Banerjee, Jean Honorio:
Meta Sparse Principal Component Analysis. CoRR abs/2208.08938 (2022) - [i18]Imon Banerjee, Harsha Honnappa, Vinayak A. Rao:
Offline Estimation of Controlled Markov Chains: Minimax Nonparametric Estimators and Sample Efficiency. CoRR abs/2211.07092 (2022) - [i17]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 abs/2212.12454 (2022) - 2021
- [j24]Imon Banerjee, Vinayak A. Rao, Harsha Honnappa:
PAC-Bayes Bounds on Variational Tempered Posteriors for Markov Models. Entropy 23(3): 313 (2021) - [j23]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): 829-839 (2021) - [j22]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: 103918 (2021) - [j21]Pradeeban Kathiravelu, Puneet Sharma, Ashish Sharma, Imon Banerjee, Hari Trivedi, Saptarshi Purkayastha, Priyanshu Sinha, Alexandre Cadrin-Chenevert, Nabile M. Safdar, Judy Wawira Gichoya:
A DICOM Framework for Machine Learning and Processing Pipelines Against Real-time Radiology Images. J. Digit. Imaging 34(4): 1005-1013 (2021) - [j20]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) - [j19]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): 1023-1033 (2021) - [c21]Thiago Santos, Omar Kallas, Janice M. Newsome, Daniel L. 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 - [c20]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: 1-4 - [c19]Sanjeev Tannirkulam Chandrasekaran, Imon Banerjee, Arindam Sanyal:
7.5nJ/inference CMOS Echo State Network for Coronary Heart Disease prediction. ESSCIRC 2021: 103-106 - [c18]Sanjeev Tannirkulam Chandrasekaran, Imon Banerjee, Arindam Sanyal:
7.5nJ/inference CMOS Echo State Network for Coronary Heart Disease prediction. ESSDERC 2021: 103-106 - [c17]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: 1-5 - [i16]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 abs/2107.10356 (2021) - [i15]Xiaoyuan Guo, Judy Wawira Gichoya, Saptarshi Purkayastha, Imon Banerjee:
Margin-Aware Intra-Class Novelty Identification for Medical Images. CoRR abs/2108.00117 (2021) - [i14]Xiaoyuan Guo, Judy Wawira Gichoya, Saptarshi Purkayastha, Imon Banerjee:
CVAD: A generic medical anomaly detector based on Cascade VAE. CoRR abs/2110.15811 (2021) - [i13]Ramon Correa, Jiwoong Jason Jeong, Bhavik N. Patel, Hari Trivedi, Judy W. Gichoya, Imon Banerjee:
Two-step adversarial debiasing with partial learning - medical image case-studies. CoRR abs/2111.08711 (2021) - [i12]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:
RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR. CoRR abs/2111.11665 (2021) - [i11]Xiaoyuan Guo, Judy Wawira Gichoya, Hari Trivedi, Saptarshi Purkayastha, Imon Banerjee:
MedShift: identifying shift data for medical dataset curation. CoRR abs/2112.13885 (2021) - 2020
- [j18]Scott Jeffery 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): 1393-1400 (2020) - [j17]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, 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) - [j16]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, 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) - [j15]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) - [c16]Jiaming Zeng, Imon Banerjee, Michael Francis Gensheimer, Daniel L. Rubin:
Cancer Treatment Classification with Electronic Medical Health Records (Student Abstract). AAAI 2020: 13981-13982 - [c15]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: 100-110 - [c14]Sumukh Prashant Bhanushali, Sudarsan Sadasivuni, Imon Banerjee, Arindam Sanyal:
Digital Machine Learning Circuit for Real-Time Stress Detection from Wearable ECG Sensor. MWSCAS 2020: 978-981 - [i10]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 abs/2004.07965 (2020) - [i9]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 abs/2006.13262 (2020) - [i8]Nazanin Mashhaditafreshi, Amara Tariq, Judy Wawira Gichoya, Imon Banerjee:
Generalization of Deep Convolutional Neural Networks - A Case-study on Open-source Chest Radiographs. CoRR abs/2007.05786 (2020)
2010 – 2019
- 2019
- [j14]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: 79-88 (2019) - [j13]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) - [j12]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): 544-553 (2019) - [j11]Akshay Jayaraj, Sanjeev Tannirkulam Chandrasekaran, Archana Ganesh, Imon Banerjee, Arindam Sanyal:
Maximum Likelihood Estimation-Based SAR ADC. IEEE Trans. Circuits Syst. II Express Briefs 66-II(8): 1311-1315 (2019) - [j10]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): 1226-1236 (2019) - [c13]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 - [c12]Ron C. Li, Imon Banerjee, Daniel L. Rubin, Jonathan H. Chen:
Detecting unanticipated actions downstream from clinical decision support: a data mining approach. AMIA 2019 - [c11]Imon Banerjee, Martina Paccini, Enrico Ferrari, Chiara Eva Catalano, Silvia Biasotti, Michela Spagnuolo:
Feature-based Characterisation of Patient-specific 3D Anatomical Models. STAG 2019: 41-50 - [c10]Akshay Jayaraj, Imon Banerjee, Arindam Sanyal:
Common-Source Amplifier Based Analog Artificial Neural Network Classifier. ISCAS 2019: 1-5 - [i7]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 abs/1902.10700 (2019) - 2018
- [j9]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): 9:1-9:22 (2018) - [j8]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: 167-175 (2018) - [j7]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: 11-20 (2018) - [j6]Anupama Gupta, Imon Banerjee, Daniel L. Rubin:
Automatic information extraction from unstructured mammography reports using distributed semantics. J. Biomed. Informatics 78: 78-86 (2018) - [j5]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: 123-135 (2018) - [c9]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 - [i6]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 abs/1801.03058 (2018) - [i5]Imon Banerjee, Hailey H. Choi, Terry S. Desser, Daniel L. Rubin:
A Scalable Machine Learning Approach for Inferring Probabilistic US-LI-RADS Categorization. CoRR abs/1806.07346 (2018) - 2017
- [j4]Imon Banerjee, Giuseppe Patanè, Michela Spagnuolo:
Combination of visual and symbolic knowledge: A survey in anatomy. Comput. Biol. Medicine 80: 148-157 (2017) - [j3]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): 506-518 (2017) - [c8]Imon Banerjee, Sriraman Madhavan, Roger Eric Goldman, Daniel L. Rubin:
Intelligent Word Embeddings of Free-Text Radiology Reports. AMIA 2017 - [c7]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: 240-250 - [i4]Paroma Varma, Bryan D. He, Payal Bajaj, Imon Banerjee, Nishith Khandwala, Daniel L. Rubin, Christopher Ré:
Inferring Generative Model Structure with Static Analysis. CoRR abs/1709.02477 (2017) - [i3]Imon Banerjee, Sriraman Madhavan, Roger Eric Goldman, Daniel L. Rubin:
Intelligent Word Embeddings of Free-Text Radiology Reports. CoRR abs/1711.06968 (2017) - 2016
- [j2]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): 707-720 (2016) - [j1]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): 1337-1349 (2016) - [i2]Imon Banerjee, Lewis Hahn, Geoffrey A. Sonn, Richard E. Fan, Daniel L. Rubin:
Computerized Multiparametric MR image Analysis for Prostate Cancer Aggressiveness-Assessment. CoRR abs/1612.00408 (2016) - [i1]Imon Banerjee, Arindam Sanyal:
An Energy-Efficient VCO-Based Matrix Multiplier Block to Support On-Chip Image Analysis. CoRR abs/1612.03361 (2016) - 2015
- [c6]Imon Banerjee, Asan Agibetov, Chiara Eva Catalano, Giuseppe Patanè, Michela Spagnuolo:
Semantic Annotation of Patient-Specific 3D Anatomical Models. CW 2015: 22-29 - [c5]Imon Banerjee, Giuseppe Patanè, Michela Spagnuolo:
SemAnatomy3D: Annotation of Patient-Specific Anatomy. STAG 2015: 57-66 - [c4]Imon Banerjee, Hamid Laga, Giuseppe Patanè, Sebastian Kurtek, Anuj Srivastava, Michela Spagnuolo:
Generation of 3D Canonical Anatomical Models: An Experience on Carpal Bones. ICIAP Workshops 2015: 167-174 - 2014
- [c3]Marios Pitikakis, Imon Banerjee:
Knowledge Management in Medicine - A Framework to Organize, Browse and Retrieve Medical Data. HEALTHINF 2014: 374-380 - [p1]Imon Banerjee, Chiara Eva Catalano, Francesco Robbiano, Michela Spagnuolo:
Accessing and Representing Knowledge in the Medical Field: Visual and Lexical Modalities. 3D Multiscale Physiological Human 2014: 297-316 - 2010
- [c2]Shrutilipi Bhattacharjee, Imon Banerjee, Animesh Datta:
An Ontology Based Framework for Domain Analysis of Interactive System. IC3 (1) 2010: 391-402 - [c1]Animesh Datta, Imon Banerjee, Shrutilipi Bhattacharjee, Ranjan Dasgupta, Swapan Bhattacharya:
Framework for Domain Analysis of Teleteaching System: A Semiformal Approach. Software Engineering Research and Practice 2010: 92-98
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-18 20:42 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint