Imon Banerjee
Orcid: 0000-0002-3327-8004
According to our database1,
Imon Banerjee
authored at least 104 papers
between 2010 and 2024.
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Bibliography
2024
SCGAN: Sparse CounterGAN for Counterfactual Explanations in Breast Cancer Prediction.
IEEE Trans Autom. Sci. Eng., July, 2024
Efficient adversarial debiasing with concept activation vector - Medical image case-studies.
J. Biomed. Informatics, January, 2024
Call for papers: Special issue on biomedical multimodal large language models - novel approaches and applications.
J. Biomed. Informatics, 2024
Unsupervised Hybrid framework for ANomaly Detection (HAND) - applied to Screening Mammogram.
CoRR, 2024
Assessing Empathy in Large Language Models with Real-World Physician-Patient Interactions.
CoRR, 2024
Knowledge-Grounded Adaptation Strategy for Vision-Language Models: Building a Unique Case-Set for Screening Mammograms for Residents Training.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024
2023
Contrastive diagnostic embedding (CDE) model for automated coding - A case study using emergency department encounters.
Int. J. Medical Informatics, November, 2023
IEEE J. Biomed. Health Informatics, August, 2023
Predicting 30-Day All-Cause Hospital Readmission Using Multimodal Spatiotemporal Graph Neural Networks.
IEEE J. Biomed. Health Informatics, April, 2023
In-Sensor Artificial Intelligence and Fusion With Electronic Medical Records for At-Home Monitoring.
IEEE Trans. Biomed. Circuits Syst., April, 2023
Natural Language Processing Model for Identifying Critical Findings - A Multi-Institutional Study.
J. Digit. Imaging, February, 2023
Developing an Echocardiography-Based, Automatic Deep Learning Framework for the Differentiation of Increased Left Ventricular Wall Thickness Etiologies.
J. Imaging, 2023
Artificial Intelligence-Based Prediction of Cardiovascular Diseases from Chest Radiography.
J. Imaging, 2023
Graph convolutional network-based fusion model to predict risk of hospital acquired infections.
J. Am. Medical Informatics Assoc., 2023
Hierarchical Classification System for Breast Cancer Specimen Report (HCSBC) - an end-to-end model for characterizing severity and diagnosis.
CoRR, 2023
Performance Gaps of Artificial Intelligence Models Screening Mammography - Towards Fair and Interpretable Models.
CoRR, 2023
Graph-Based Fusion of Imaging and Non-Imaging Data for Disease Trajectory Prediction.
Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023
Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023
2022
Systematic Review of Generative Adversarial Networks (GANs) for Medical Image Classification and Segmentation.
J. Digit. Imaging, 2022
Automating Scoliosis Measurements in Radiographic Studies with Machine Learning: Comparing Artificial Intelligence and Clinical Reports.
J. Digit. Imaging, 2022
A weakly supervised model for the automated detection of adverse events using clinical notes.
J. Biomed. Informatics, 2022
Assessing perceived effectiveness of career development efforts led by the women in American Medical Informatics Association Initiative.
J. Am. Medical Informatics Assoc., 2022
Bridging the Gap between Structured and Free-form Radiology Reporting: A Case-study on Coronary CT Angiography.
ACM Trans. Comput. Heal., 2022
Generalizable Natural Language Processing Framework for Migraine Reporting from Social Media.
CoRR, 2022
Offline Estimation of Controlled Markov Chains: Minimax Nonparametric Estimators and Sample Efficiency.
CoRR, 2022
Advances in Prediction of Readmission Rates Using Long Term Short Term Memory Networks on Healthcare Insurance Data.
CoRR, 2022
PathologyBERT - Pre-trained Vs. A New Transformer Language Model for Pathology Domain.
CoRR, 2022
Multimodal spatiotemporal graph neural networks for improved prediction of 30-day all-cause hospital readmission.
CoRR, 2022
The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.5M Screening and Diagnostic Mammograms.
CoRR, 2022
Towards an internet-scale overlay network for latency-aware decentralized workflows at the edge.
Comput. Networks, 2022
Transfer language space with similar domain adaptation: a case study with hepatocellular carcinoma.
J. Biomed. Semant., 2022
Proceedings of the Ninth International Conference on Software Defined Systems, 2022
Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2022
Real-time sepsis prediction using fusion of on-chip analog classifier and electronic medical record.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022
Proceedings of the 26th International Conference on Pattern Recognition, 2022
Generating Counterfactual Explanations For Causal Inference in Breast Cancer Treatment Response.
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022
Proceedings of the AMIA 2022, 2022
Proceedings of the AMIA 2022, 2022
Real-time prediction of cardiovascular diseases using reservoir-computing and fusion with electronic medical record.
Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022
2021
Fully Integrated Analog Machine Learning Classifier Using Custom Activation Function for Low Resolution Image Classification.
IEEE Trans. Circuits Syst. I Regul. Pap., 2021
npj Digit. Medicine, 2021
A DICOM Framework for Machine Learning and Processing Pipelines Against Real-time Radiology Images.
J. Digit. Imaging, 2021
J. Biomed. Informatics, 2021
Toward Real-Time, At-Home Patient Health Monitoring Using Reservoir Computing CMOS IC.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2021
RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR.
CoRR, 2021
CoRR, 2021
Recurrent Neural Network Circuit for Automated Detection of Atrial Fibrillation from Raw ECG.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021
Proceedings of the 51st IEEE European Solid-State Device Research Conference, 2021
Multi-Task Learning Mixed-Signal Classifier for In-situ Detection of Atrial Fibrillation and Sepsis.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, BioCAS 2021, 2021
A Fusion NLP Model for the Inference of Standardized Thyroid Nodule Malignancy Scores from Radiology Report Text.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2020
Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines.
npj Digit. Medicine, 2020
Author Correction: PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging.
npj Digit. Medicine, 2020
PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging.
npj Digit. Medicine, 2020
A Scalable Natural Language Processing for Inferring BT-RADS Categorization from Unstructured Brain Magnetic Resonance Reports.
J. Digit. Imaging, 2020
Generalization of Deep Convolutional Neural Networks - A Case-study on Open-source Chest Radiographs.
CoRR, 2020
Was there COVID-19 back in 2012? Challenge for AI in Diagnosis with Similar Indications.
CoRR, 2020
Developing and Deploying Machine Learning Pipelines against Real-Time Image Streams from the PACS.
CoRR, 2020
Digital Machine Learning Circuit for Real-Time Stress Detection from Wearable ECG Sensor.
Proceedings of the 63rd IEEE International Midwest Symposium on Circuits and Systems, 2020
Automatic Breast Cancer Cohort Detection from Social Media for Studying Factors Affecting Patient-Centered Outcomes.
Proceedings of the Artificial Intelligence in Medicine, 2020
Cancer Treatment Classification with Electronic Medical Health Records (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
On Convergence of the Class Membership Estimator in Fuzzy $k$-Nearest Neighbor Classifier.
IEEE Trans. Fuzzy Syst., 2019
IEEE Trans. Circuits Syst. II Express Briefs, 2019
Automated Detection of Measurements and Their Descriptors in Radiology Reports Using a Hybrid Natural Language Processing Algorithm.
J. Digit. Imaging, 2019
Automatic inference of BI-RADS final assessment categories from narrative mammography report findings.
J. Biomed. Informatics, 2019
A Deep-learning Approach for Prognosis of Age-Related Macular Degeneration Disease using SD-OCT Imaging Biomarkers.
CoRR, 2019
Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification.
Artif. Intell. Medicine, 2019
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019
Proceedings of the Italian Chapter Conference 2019, 2019
Detecting unanticipated actions downstream from clinical decision support: a data mining approach.
Proceedings of the AMIA 2019, 2019
Prediction of Imaging Outcomes from Electronic Health Records: Pulmonary Embolism Case-Study.
Proceedings of the AMIA 2019, 2019
2018
Automatic information extraction from unstructured mammography reports using distributed semantics.
J. Biomed. Informatics, 2018
Relevance feedback for enhancing content based image retrieval and automatic prediction of semantic image features: Application to bone tumor radiographs.
J. Biomed. Informatics, 2018
Radiology report annotation using intelligent word embeddings: Applied to multi-institutional chest CT cohort.
J. Biomed. Informatics, 2018
Probabilistic Prognostic Estimates of Survival in Metastatic Cancer Patients (PPES-Met) Utilizing Free-Text Clinical Narratives.
CoRR, 2018
Transfer learning on fused multiparametric MR images for classifying histopathological subtypes of rhabdomyosarcoma.
Comput. Medical Imaging Graph., 2018
J. Biomed. Semant., 2018
A Scalable Machine Learning Approach for Inferring Probabilistic US-LI-RADS Categorization.
Proceedings of the AMIA 2018, 2018
2017
Computerized Prediction of Radiological Observations Based on Quantitative Feature Analysis: Initial Experience in Liver Lesions.
J. Digit. Imaging, 2017
Comput. Biol. Medicine, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the AMIA 2017, 2017
2016
Semantics-driven annotation of patient-specific 3D data: a step to assist diagnosis and treatment of rheumatoid arthritis.
Vis. Comput., 2016
An Energy-Efficient VCO-Based Matrix Multiplier Block to Support On-Chip Image Analysis.
CoRR, 2016
Computerized Multiparametric MR image Analysis for Prostate Cancer Aggressiveness-Assessment.
CoRR, 2016
Semantic annotation of 3D anatomical models to support diagnosis and follow-up analysis of musculoskeletal pathologies.
Int. J. Comput. Assist. Radiol. Surg., 2016
2015
Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2015 Workshops, 2015
Proceedings of the Italian Chapter Conference 2015, 2015
Proceedings of the International Conference on Cyberworlds, 2015
2014
Knowledge Management in Medicine - A Framework to Organize, Browse and Retrieve Medical Data.
Proceedings of the HEALTHINF 2014, 2014
Accessing and Representing Knowledge in the Medical Field: Visual and Lexical Modalities.
Proceedings of the 3D Multiscale Physiological Human, 2014
2010
Framework for Domain Analysis of Teleteaching System: A Semiformal Approach.
Proceedings of the 2010 International Conference on Software Engineering Research & Practice, 2010
Proceedings of the Contemporary Computing - Third International Conference, 2010