Imon Banerjee

Orcid: 0000-0002-3327-8004

According to our database1, Imon Banerjee authored at least 98 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Efficient adversarial debiasing with concept activation vector - Medical image case-studies.
J. Biomed. Informatics, January, 2024

2023
Contrastive diagnostic embedding (CDE) model for automated coding - A case study using emergency department encounters.
Int. J. Medical Informatics, November, 2023

MedShift: Automated Identification of Shift Data for Medical Image Dataset Curation.
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

The Role of Artificial Intelligence in Echocardiography.
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

Adversarial Debiasing techniques towards 'fair' skin lesion classification.
Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023

Fully Integrated Mixed-Signal Classifier for Cardiovascular Health Monitoring.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

2022
CVAD - An unsupervised image anomaly detector.
Softw. Impacts, 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

Meta Sparse Principal Component Analysis.
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

Networking Research Innovations for Telesurgery: A Systematic Review.
Proceedings of the Ninth International Conference on Software Defined Systems, 2022

OSCARS: An Outlier-Sensitive Content-Based Radiography Retrieval System.
Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022

CVAD: An Anomaly Detector for Medical Images Based on Cascade VAE.
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

Augmenting Vision Language Pretraining by Learning Codebook with Visual Semantics.
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

A 43.6 TOPS/W AI Classifier with Sensor Fusion for Sepsis Onset Prediction.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022

Graph-based Fusion Modeling and Explanation for Disease Trajectory Prediction.
Proceedings of the AMIA 2022, 2022

Impact of COVID-19 on Career and Family Life for Women in AMIA.
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

Patient-specific COVID-19 resource utilization prediction using fusion AI model.
npj Digit. Medicine, 2021

A DICOM Framework for Machine Learning and Processing Pipelines Against Real-time Radiology Images.
J. Digit. Imaging, 2021

Query bot for retrieving patients' clinical history: A COVID-19 use-case.
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

PAC-Bayes Bounds on Variational Tempered Posteriors for Markov Models.
Entropy, 2021

MedShift: identifying shift data for medical dataset curation.
CoRR, 2021

RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR.
CoRR, 2021

Two-step adversarial debiasing with partial learning - medical image case-studies.
CoRR, 2021

CVAD: A generic medical anomaly detector based on Cascade VAE.
CoRR, 2021

Margin-Aware Intra-Class Novelty Identification for Medical Images.
CoRR, 2021

Reading Race: AI Recognises Patient's Racial Identity In Medical Images.
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

7.5nJ/inference CMOS Echo State Network for Coronary Heart Disease prediction.
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

Maximum Likelihood Estimation-Based SAR ADC.
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

Common-Source Amplifier Based Analog Artificial Neural Network Classifier.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

Feature-based Characterisation of Patient-specific 3D Anatomical Models.
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

Supporting shared hypothesis testing in the biomedical domain.
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

Combination of visual and symbolic knowledge: A survey in anatomy.
Comput. Biol. Medicine, 2017

Inferring Generative Model Structure with Static Analysis.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Intelligent Word Embeddings of Free-Text Radiology Reports.
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
Generation of 3D Canonical Anatomical Models: An Experience on Carpal Bones.
Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2015 Workshops, 2015

SemAnatomy3D: Annotation of Patient-Specific Anatomy.
Proceedings of the Italian Chapter Conference 2015, 2015

Semantic Annotation of Patient-Specific 3D Anatomical Models.
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

An Ontology Based Framework for Domain Analysis of Interactive System.
Proceedings of the Contemporary Computing - Third International Conference, 2010


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