Imon Banerjee | DeepAI

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Featured Co-authors

C. -C. Jay Kuo
151 publications
Christopher Ré
125 publications
Jean Honorio
70 publications
Marzyeh Ghassemi
54 publications
Haoran Zhang
48 publications
Yuyin Zhou
41 publications
Lei Xing
34 publications
Matthew P. Lungren
29 publications
Leo Anthony Celi
24 publications
Daniel Rubin
23 publications
Daniel L. Rubin
21 publications

∙ 12/23/2022

Generalizable Natural Language Processing Framework for Migraine Reporting from Social Media

Migraine is a high-prevalence and disabling neurological disorder. Howev...

14 Yuting Guo, et al. ∙

∙ 11/14/2022

Offline Estimation of Controlled Markov Chains: Minimax Nonparametric Estimators and Sample Efficiency

Controlled Markov chains (CMCs) form the bedrock for model-based reinfor...

0 Imon Banerjee, et al. ∙

∙ 08/18/2022

Meta Sparse Principal Component Analysis

We study the meta-learning for support (i.e. the set of non-zero entries...

0 Imon Banerjee, et al. ∙

∙ 07/31/2022

Augmenting Vision Language Pretraining by Learning Codebook with Visual Semantics

Language modality within the vision language pretraining framework is in...

0 Xiaoyuan Guo, et al. ∙

∙ 06/30/2022

Advances in Prediction of Readmission Rates Using Long Term Short Term Memory Networks on Healthcare Insurance Data

30-day hospital readmission is a long standing medical problem that affe...

17 Shuja Khalid, et al. ∙

∙ 05/13/2022

PathologyBERT – Pre-trained Vs. A New Transformer Language Model for Pathology Domain

Pathology text mining is a challenging task given the reporting variabil...

0 Thiago Santos, et al. ∙

∙ 04/14/2022

Multimodal spatiotemporal graph neural networks for improved prediction of 30-day all-cause hospital readmission

Measures to predict 30-day readmission are considered an important quali...

0 Siyi Tang, et al. ∙

∙ 04/06/2022

OSCARS: An Outlier-Sensitive Content-Based Radiography Retrieval System

Improving the retrieval relevance on noisy datasets is an emerging need ...

0 Xiaoyuan Guo, et al. ∙

∙ 02/08/2022

The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.5M Screening and Diagnostic Mammograms

Developing and validating artificial intelligence models in medical imag...

20 Jiwoong J. Jeong, et al. ∙

∙ 12/27/2021

MedShift: identifying shift data for medical dataset curation

To curate a high-quality dataset, identifying data variance between the ...

26 Xiaoyuan Guo, et al. ∙

∙ 11/23/2021

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

Despite the routine use of electronic health record (EHR) data by radiol...

31 Yuyin Zhou, et al. ∙

∙ 11/16/2021

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

The use of artificial intelligence (AI) in healthcare has become a very ...

0 Ramon Correa, et al. ∙

∙ 10/29/2021

CVAD: A generic medical anomaly detector based on Cascade VAE

Detecting out-of-distribution (OOD) samples in medical imaging plays an ...

0 Xiaoyuan Guo, et al. ∙

∙ 07/31/2021

Margin-Aware Intra-Class Novelty Identification for Medical Images

Traditional anomaly detection methods focus on detecting inter-class var...

25 Xiaoyuan Guo, et al. ∙

∙ 07/21/2021

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

Background: In medical imaging, prior studies have demonstrated disparat...

17 Imon Banerjee, et al. ∙

∙ 01/13/2021

PAC-Bayes Bounds on Variational Tempered Posteriors for Markov Models

Datasets displaying temporal dependencies abound in science and engineer...

0 Imon Banerjee, et al. ∙

∙ 07/11/2020

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

Deep Convolutional Neural Networks (DCNNs) have attracted extensive atte...

0 Nazanin Mashhaditafreshi, et al. ∙

∙ 06/23/2020

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

Purpose: Since the recent COVID-19 outbreak, there has been an avalanche...

0 Imon Banerjee, et al. ∙

∙ 04/16/2020

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

Executing machine learning (ML) pipelines on radiology images is hard du...

4 Pradeeban Kathiravelu, et al. ∙

∙ 02/27/2019

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

We propose a hybrid sequential deep learning model to predict the risk o...

0 Imon Banerjee, et al. ∙

∙ 06/15/2018

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

We propose a scalable computerized approach for large-scale inference of...

0 Imon Banerjee, et al. ∙

∙ 01/09/2018

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

We propose a deep learning model - Probabilistic Prognostic Estimates of...

0 Imon Banerjee, et al. ∙

∙ 11/19/2017

Intelligent Word Embeddings of Free-Text Radiology Reports

Radiology reports are a rich resource for advancing deep learning applic...

0 Imon Banerjee, et al. ∙

∙ 09/07/2017

Inferring Generative Model Structure with Static Analysis

Obtaining enough labeled data to robustly train complex discriminative m...

0 Paroma Varma, et al. ∙

∙ 12/01/2016

Computerized Multiparametric MR image Analysis for Prostate Cancer Aggressiveness-Assessment

We propose an automated method for detecting aggressive prostate cancer(...

0 Imon Banerjee, et al. ∙

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