Imon Banerjee

发表

Supporting shared hypothesis testing in the biomedical domain

Michela Spagnuolo, Giovanna Guerrini, Asan Agibetov, 2018, Journal of Biomedical Semantics.

Computerized Multiparametric MR image Analysis for Prostate Cancer Aggressiveness-Assessment pdf

Daniel L. Rubin, Richard E. Fan, Imon Banerjee, 2016, ArXiv.

Prediction of Imaging Outcomes from Electronic Health Records: Pulmonary Embolism Case-Study

Daniel L. Rubin, Matthew P. Lungren, Imon Banerjee, 2019, AMIA.

Developing and Deploying Machine Learning Pipelines against Real-Time Image Streams from the PACS pdf

Saptarshi Purkayastha, Ashish Sharma, Pradeeban Kathiravelu, 2020, ArXiv.

Radiology report annotation using intelligent word embeddings: Applied to multi-institutional chest CT cohort

Daniel L. Rubin, Matthew P. Lungren, Imon Banerjee, 2018, J. Biomed. Informatics.

Survey on medical ontologies

Giuseppe Patanè, Michela Spagnuolo, Chiara Eva Catalano, 2012 .

An Energy-Efficient VCO-Based Matrix Multiplier Block to Support On-Chip Image Analysis pdf

Arindam Sanyal, Imon Banerjee, I. Banerjee, 2016, ArXiv.

Maximum Likelihood Estimation-Based SAR ADC

Akshay Jayaraj, Arindam Sanyal, Imon Banerjee, 2019, IEEE Transactions on Circuits and Systems II: Express Briefs.

Abstract: Probabilistic Prognostic Estimates of Survival in Metastatic Cancer Patients.

Daniel T. Chang, Daniel L. Rubin, Imon Banerjee, 2018 .

SemAnatomy3D: Annotation of Patient-Specific Anatomy

Giuseppe Patanè, Michela Spagnuolo, Imon Banerjee, 2015, STAG.

Probabilistic Prognostic Estimates of Survival in Metastatic Cancer Patients (PPES-Met) Utilizing Free-Text Clinical Narratives

Daniel L. Rubin, Imon Banerjee, Daniel Chang, 2018, Scientific Reports.

Cancer Treatment Classification with Electronic Medical Health Records (Student Abstract)

Imon Banerjee, Jiaming Zeng, Daniel Rubin, 2020, AAAI.

Computerized Prediction of Radiological Observations Based on Quantitative Feature Analysis: Initial Experience in Liver Lesions

Daniel L. Rubin, Christopher F. Beaulieu, Imon Banerjee, 2017, Journal of Digital Imaging.

Was there COVID-19 back in 2012? Challenge for AI in Diagnosis with Similar Indications pdf

Saptarshi Purkayastha, Judy W. Gichoya, Jiwoong Jeong, 2020, ArXiv.

Semantic Annotation of Patient-Specific 3D Anatomical Models

Giuseppe Patanè, Michela Spagnuolo, Asan Agibetov, 2015, 2015 International Conference on Cyberworlds (CW).

Common-Source Amplifier Based Analog Artificial Neural Network Classifier

Akshay Jayaraj, Arindam Sanyal, Imon Banerjee, 2019, 2019 IEEE International Symposium on Circuits and Systems (ISCAS).

A DICOM Framework for Machine Learning and Processing Pipelines Against Real-time Radiology Images

Saptarshi Purkayastha, Ashish Sharma, Nabile Safdar, 2020, Journal of Digital Imaging.

Relevance feedback for enhancing content based image retrieval and automatic prediction of semantic image features: Application to bone tumor radiographs

Daniel L. Rubin, Camille Kurtz, Christopher F. Beaulieu, 2018, J. Biomed. Informatics.

A Deep-learning Approach for Prognosis of Age-Related Macular Degeneration Disease using SD-OCT Imaging Biomarkers pdf

Daniel L. Rubin, Joelle Hallak, Imon Banerjee, 2019, ArXiv.

Beyond the Artificial Intelligence Hype: What Lies Behind the Algorithms and What We Can Achieve.

Imon Banerjee, Carlo N De Cecco, Marly van Assen, 2020, Journal of thoracic imaging.

An Automated Two-step Pipeline for Aggressive Prostate Lesion Detection from Multi-parametric MR Sequence.

Imon Banerjee, Lewis Hahn, Daniel Rubin, 2020, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

Transfer learning on fused multiparametric MR images for classifying histopathological subtypes of rhabdomyosarcoma

Daniel L. Rubin, Imon Banerjee, Alexis Crawley, 2017, Comput. Medical Imaging Graph..

Digital Machine Learning Circuit for Real-Time Stress Detection from Wearable ECG Sensor

Arindam Sanyal, Imon Banerjee, Sudarsan Sadasivuni, 2020, 2020 IEEE 63rd International Midwest Symposium on Circuits and Systems (MWSCAS).

A Fully-Integrated Analog Machine Learning Classifier for Breast Cancer Classification

Sanjeev Tannirkulam Chandrasekaran, Arindam Sanyal, Imon Banerjee, 2020, Electronics.

Semantics-driven annotation of patient-specific 3D data: a step to assist diagnosis and treatment of rheumatoid arthritis

Giuseppe Patanè, Michela Spagnuolo, Asan Agibetov, 2016, The Visual Computer.

Accessing and Representing Knowledge in the Medical Field: Visual and Lexical Modalities

Michela Spagnuolo, Chiara Eva Catalano, Francesco Robbiano, 2014, 3D Multiscale Physiological Human.

Generation of 3D Canonical Anatomical Models: An Experience on Carpal Bones

Hamid Laga, Anuj Srivastava, Sebastian Kurtek, 2015, ICIAP Workshops.

Inferring Generative Model Structure with Static Analysis

Daniel L. Rubin, Christopher Ré, Imon Banerjee, 2017, NIPS.

Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification

Oladimeji Farri, Yuan Ling, Sadid A. Hasan, 2019, Artif. Intell. Medicine.

Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines

Matthew P. Lungren, Imon Banerjee, Shih-Cheng Huang, 2020, npj Digital Medicine.

PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging

Matthew P. Lungren, Pranav Rajpurkar, Jared A. Dunnmon, 2020, npj Digital Medicine.

Framework for Domain Analysis of Teleteaching System: A Semiformal Approach

Ranjan Dasgupta, Animesh Datta, Swapan Bhattacharya, 2010, Software Engineering Research and Practice.

Acknowledgments to reviewers 2017

Erik Reinhard, Huamin Wang, Huchuan Lu, 2017, The Visual Computer.

Intelligent Word Embeddings of Free-Text Radiology Reports

Daniel L. Rubin, Imon Banerjee, Roger Eric Goldman, 2017, AMIA.

Automatic Breast Cancer Cohort Detection from Social Media for Studying Factors Affecting Patient-Centered Outcomes

Abeed Sarker, Imon Banerjee, Mohammed Ali Al-Garadi, 2020, AIME.

Combination of visual and symbolic knowledge: A survey in anatomy

Michela Spagnuolo, Imon Banerjee, Giuseppe Patané, 2017, Comput. Biol. Medicine.

Automatic information extraction from unstructured mammography reports using distributed semantics

Daniel L. Rubin, Imon Banerjee, Anupama Gupta, 2018, J. Biomed. Informatics.

Semantic annotation of 3D anatomical models to support diagnosis and follow-up analysis of musculoskeletal pathologies

Giuseppe Patanè, Michela Spagnuolo, Chiara Eva Catalano, 2016, International Journal of Computer Assisted Radiology and Surgery.

A Bio-Inspired Reservoir-Computer for Real-Time Stress Detection From ECG Signal

Sanjeev Tannirkulam Chandrasekaran, Arindam Sanyal, Imon Banerjee, 2020, IEEE Solid-State Circuits Letters.

Weakly supervised natural language processing for assessing patient-centered outcome following prostate cancer treatment

Tina Hernandez-Boussard, Martin Seneviratne, Imon Banerjee, 2019, JAMIA open.

Detecting unanticipated actions downstream from clinical decision support: a data mining approach

Jonathan H. Chen, Ron C. Li, Imon Banerjee, 2019, AMIA.

Formal Design of Teleteaching Interactivity

Animesh Dutta, Shrutilipi Bhattacharjee, Imon Banerjee, 2010, 2010 International Conference on Recent Trends in Information, Telecommunication and Computing.

Knowledge Management in Medicine - A Framework to Organize, Browse and Retrieve Medical Data

Marios Pitikakis, Imon Banerjee, I. Banerjee, 2014, HEALTHINF.

Automatic inference of BI-RADS final assessment categories from narrative mammography report findings

Selen Bozkurt, Daniel L. Rubin, Hersh Sagreiya, 2019, J. Biomed. Informatics.

Author Correction: PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging

Matthew P. Lungren, Pranav Rajpurkar, Imon Banerjee, 2020, npj Digital Medicine.

Current Clinical Applications of Artificial Intelligence in Radiology and Their Best Supporting Evidence.

Saptarshi Purkayastha, Imon Banerjee, Elizabeth Krupinski, 2020, Journal of the American College of Radiology : JACR.

Automated Detection of Measurements and Their Descriptors in Radiology Reports Using a Hybrid Natural Language Processing Algorithm

Selen Bozkurt, Imon Banerjee, Daniel L Rubin, 2019, Journal of Digital Imaging.

Assessing treatment response in triple-negative breast cancer from quantitative image analysis in perfusion magnetic resonance imaging

Adrien Depeursinge, Imon Banerjee, Daniel L Rubin, 2017, Journal of medical imaging.

An Ontology Based Framework for Domain Analysis of Interactive System

Animesh Datta, Shrutilipi Bhattacharjee, Imon Banerjee, 2010, IC3.

Multimodal fusion with deep neural networks for leveraging CT imaging and electronic health record: a case-study in pulmonary embolism detection

Matthew P. Lungren, Imon Banerjee, Shih-Cheng Huang, 2020, Scientific Reports.

A Scalable Machine Learning Approach for Inferring Probabilistic US-LI-RADS Categorization

Daniel L. Rubin, Imon Banerjee, Terry S. Desser, 2018, AMIA.

A Scalable Natural Language Processing for Inferring BT-RADS Categorization from Unstructured Brain Magnetic Resonance Reports

Brent D. Weinberg, Imon Banerjee, Scott J. Lee, 2020, Journal of Digital Imaging.

On Convergence of the Class Membership Estimator in Fuzzy $k$-Nearest Neighbor Classifier

Sankha Subhra Mullick, Swagatam Das, Imon Banerjee, 2019, IEEE Transactions on Fuzzy Systems.

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

Silvia Biasotti, Chiara Eva Catalano, Imon Banerjee, 2019, STAG.

Generalization of Deep Convolutional Neural Networks - A Case-study on Open-source Chest Radiographs pdf

Imon Banerjee, Amara Tariq, Judy Wawira Gichoya, 2020, ArXiv.

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

Sanjeev Tannirkulam Chandrasekaran, Arindam Sanyal, Imon Banerjee, 2021, ESSCIRC 2021 - IEEE 47th European Solid State Circuits Conference (ESSCIRC).

Fusion of Fully Integrated Analog Machine Learning Classifier with Electronic Medical Records for Real-Time Prediction of Sepsis Onset

Arindam Sanyal, Imon Banerjee, Sudarsan Sadasivuni, 2021 .

Fully Integrated Analog Machine Learning Classifier Using Custom Activation Function for Low Resolution Image Classification

Akshay Jayaraj, Arindam Sanyal, Imon Banerjee, 2021, IEEE Transactions on Circuits and Systems I: Regular Papers.

AI recognition of patient race in medical imaging: a modelling study pdf

Saptarshi Purkayastha, Marzyeh Ghassemi, Leo Anthony Celi, 2021, The Lancet. Digital health.

RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR pdf

Matthew P. Lungren, Imon Banerjee, Lei Xing, 2021, ArXiv.

Multi-Task Learning Mixed-Signal Classifier for In-situ Detection of Atrial Fibrillation and Sepsis

Arindam Sanyal, Imon Banerjee, Sudarsan Sadasivuni, 2021, 2021 IEEE Biomedical Circuits and Systems Conference (BioCAS).

PAC-Bayes Bounds on Variational Tempered Posteriors for Markov Models

Vinayak A. Rao, Harsha Honnappa, Imon Banerjee, 2021, Entropy.

MedShift: identifying shift data for medical dataset curation pdf

Saptarshi Purkayastha, Imon Banerjee, Judy Wawira Gichoya, 2021, ArXiv.

CVAD: A generic medical anomaly detector based on Cascade VAE pdf

Saptarshi Purkayastha, Imon Banerjee, Judy Wawira Gichoya, 2021, ArXiv.

Recurrent Neural Network Circuit for Automated Detection of Atrial Fibrillation from Raw ECG

Arindam Sanyal, Imon Banerjee, Sudarsan Sadasivuni, 2021, 2021 IEEE International Symposium on Circuits and Systems (ISCAS).

Two-step adversarial debiasing with partial learning - medical image case-studies pdf

Judy W. Gichoya, Imon Banerjee, Jiwoong Jason Jeong, 2021, ArXiv.

Margin-aware intraclass novelty identification for medical images pdf

Saptarshi Purkayastha, Imon Banerjee, Judy Wawira Gichoya, 2021, Journal of medical imaging.

A DICOM Framework for Machine Learning and Processing Pipelines Against Real-time Radiology Images

Saptarshi Purkayastha, Pradeeban Kathiravelu, Imon Banerjee, 2020, Journal of Digital Imaging.

Natural Language Processing Approaches to Detect the Timeline of Metastatic Recurrence of Breast Cancer.

Selen Bozkurt, Imon Banerjee, Daniel L Rubin, 2019, JCO clinical cancer informatics.

Statistical estimator for simultaneous noise and mismatch suppression in SAR ADC

Arindam Sanyal, Imon Banerjee, 2017 .

Phenotyping severity of patient‐centered outcomes using clinical notes: A prostate cancer use case

Selen Bozkurt, Ran Sun, Tina Hernandez-Boussard, 2020, Learning health systems.