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12/23/2022
Generalizable Natural Language Processing Framework for Migraine Reporting from Social Media
Migraine is a high-prevalence and disabling neurological disorder. Howev...
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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...
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08/18/2022
Meta Sparse Principal Component Analysis
We study the meta-learning for support (i.e. the set of non-zero entries...
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07/31/2022
Augmenting Vision Language Pretraining by Learning Codebook with Visual Semantics
Language modality within the vision language pretraining framework is in...
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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...
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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...
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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...
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04/06/2022
OSCARS: An Outlier-Sensitive Content-Based Radiography Retrieval System
Improving the retrieval relevance on noisy datasets is an emerging need ...
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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...
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12/27/2021
MedShift: identifying shift data for medical dataset curation
To curate a high-quality dataset, identifying data variance between the ...
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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...
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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 ...
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10/29/2021
CVAD: A generic medical anomaly detector based on Cascade VAE
Detecting out-of-distribution (OOD) samples in medical imaging plays an ...
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07/31/2021
Margin-Aware Intra-Class Novelty Identification for Medical Images
Traditional anomaly detection methods focus on detecting inter-class var...
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07/21/2021
Reading Race: AI Recognises Patient's Racial Identity In Medical Images
Background: In medical imaging, prior studies have demonstrated disparat...
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01/13/2021
PAC-Bayes Bounds on Variational Tempered Posteriors for Markov Models
Datasets displaying temporal dependencies abound in science and engineer...
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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...
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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...
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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...
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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...
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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...
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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...
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11/19/2017
Intelligent Word Embeddings of Free-Text Radiology Reports
Radiology reports are a rich resource for advancing deep learning applic...
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09/07/2017
Inferring Generative Model Structure with Static Analysis
Obtaining enough labeled data to robustly train complex discriminative m...
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12/01/2016
