b'Edward Choi'

research

∙ 09/01/2023

Publicly Shareable Clinical Large Language Model Built on Synthetic Clinical Notes

The development of large language models tailored for handling patients'...

0 Sunjun Kweon, et al. ∙

research

∙ 08/03/2023

VisAlign: Dataset for Measuring the Degree of Alignment between AI and Humans in Visual Perception

AI alignment refers to models acting towards human-intended goals, prefe...

0 Jiyoung Lee, et al. ∙

research

∙ 05/12/2023

Open-WikiTable: Dataset for Open Domain Question Answering with Complex Reasoning over Table

Despite recent interest in open domain question answering (ODQA) over ta...

0 Sunjun Kweon, et al. ∙

research

∙ 05/11/2023

FactKG: Fact Verification via Reasoning on Knowledge Graphs

In real world applications, knowledge graphs (KG) are widely used in var...

0 Jiho Kim, et al. ∙

research

∙ 05/04/2023

Learning Missing Modal Electronic Health Records with Unified Multi-modal Data Embedding and Modality-Aware Attention

Electronic Health Record (EHR) provides abundant information through var...

0 Kwanhyung Lee, et al. ∙

research

∙ 03/15/2023

Rediscovery of CNN's Versatility for Text-based Encoding of Raw Electronic Health Records

Making the most use of abundant information in electronic health records...

0 Eunbyeol Cho, et al. ∙

research

∙ 03/09/2023

Perspective Projection-Based 3D CT Reconstruction from Biplanar X-rays

X-ray computed tomography (CT) is one of the most common imaging techniq...

0 Daeun Kyung, et al. ∙

research

∙ 03/09/2023

Text-to-ECG: 12-Lead Electrocardiogram Synthesis conditioned on Clinical Text Reports

Electrocardiogram (ECG) synthesis is the area of research focused on gen...

0 Hyunseung Chung, et al. ∙

research

∙ 02/27/2023

Deep Imbalanced Time-series Forecasting via Local Discrepancy Density

Time-series forecasting models often encounter abrupt changes in a given...

0 Junwoo Park, et al. ∙

research

∙ 02/23/2023

Unified Chest X-ray and Radiology Report Generation Model with Multi-view Chest X-rays

Generated synthetic data in medical research can substitute privacy and ...

0 Hyungyung Lee, et al. ∙

research

∙ 12/20/2022

ThreatKG: A Threat Knowledge Graph for Automated Open-Source Cyber Threat Intelligence Gathering and Management

Despite the increased adoption of open-source cyber threat intelligence ...

0 Peng Gao, et al. ∙

research

∙ 12/14/2022

Significantly improving zero-shot X-ray pathology classification via fine-tuning pre-trained image-text encoders

Deep neural networks have been successfully adopted to diverse domains i...

0 Jongseong Jang, et al. ∙

research

∙ 10/29/2022

Self-supervised predictive coding and multimodal fusion advance patient deterioration prediction in fine-grained time resolution

In the Emergency Department (ED), accurate prediction of critical events...

0 Kwanhyung Lee, et al. ∙

research

∙ 10/24/2022

Specializing Multi-domain NMT via Penalizing Low Mutual Information

Multi-domain Neural Machine Translation (NMT) trains a single model with...

0 Jiyoung Lee, et al. ∙

research

∙ 10/23/2022

Do Language Models Understand Measurements?

Recent success of pre-trained language models (PLMs) has stimulated inte...

0 Sungjin Park, et al. ∙

research

∙ 10/17/2022

Correlation between Alignment-Uniformity and Performance of Dense Contrastive Representations

Recently, dense contrastive learning has shown superior performance on d...

0 Jong Hak Moon, et al. ∙

research

∙ 08/29/2022

Reweighting Strategy based on Synthetic Data Identification for Sentence Similarity

Semantically meaningful sentence embeddings are important for numerous t...

2 Taehee Kim, et al. ∙

research

∙ 07/26/2022

Task Agnostic and Post-hoc Unseen Distribution Detection

Despite the recent advances in out-of-distribution(OOD) detection, anoma...

0 Radhika Dua, et al. ∙

research

∙ 07/20/2022

UniHPF : Universal Healthcare Predictive Framework with Zero Domain Knowledge

Despite the abundance of Electronic Healthcare Records (EHR), its hetero...

0 Kyunghoon Hur, et al. ∙

research

∙ 07/07/2022

Towards the Practical Utility of Federated Learning in the Medical Domain

Federated learning (FL) is an active area of research. One of the most s...

24 Seongjun Yang, et al. ∙

research

∙ 05/29/2022

BiasEnsemble: Revisiting the Importance of Amplifying Bias for Debiasing

In image classification, "debiasing" aims to train a classifier to be le...

0 Jungsoo Lee, et al. ∙

research

∙ 04/15/2022

Unconditional Image-Text Pair Generation with Multimodal Cross Quantizer

Though deep generative models have gained a lot of attention, most of th...

0 Hyungyung Lee, et al. ∙

research

∙ 03/18/2022

Graph-Text Multi-Modal Pre-training for Medical Representation Learning

As the volume of Electronic Health Records (EHR) sharply grows, there ha...

0 Sungjin Park, et al. ∙

research

∙ 03/14/2022

Uncertainty-Aware Text-to-Program for Question Answering on Structured Electronic Health Records

Question Answering on Electronic Health Records (EHR-QA) has a significa...

0 Daeyoung Kim, et al. ∙

research

∙ 03/14/2022

Lead-agnostic Self-supervised Learning for Local and Global Representations of Electrocardiogram

In recent years, self-supervised learning methods have shown significant...

0 JungWoo Oh, et al. ∙

research

∙ 01/21/2022

Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting

Electroencephalogram (EEG) is an important diagnostic test that physicia...

0 Kwanhyung Lee, et al. ∙

research

∙ 12/21/2021

Continuous-Time Video Generation via Learning Motion Dynamics with Neural ODE

In order to perform unconditional video generation, we must learn the di...

8 Kangyeol Kim, et al. ∙

research

∙ 12/01/2021

Translation-equivariant Image Quantizer for Bi-directional Image-Text Generation

Recently, vector-quantized image modeling has demonstrated impressive pe...

2 Woncheol Shin, et al. ∙

research

∙ 11/14/2021

Question Answering for Complex Electronic Health Records Database using Unified Encoder-Decoder Architecture

An intelligent machine that can answer human questions based on electron...

0 Seongsu Bae, et al. ∙

research

∙ 10/24/2021

Conditional Generation of Periodic Signals with Fourier-Based Decoder

Periodic signals play an important role in daily lives. Although convent...

0 Jiyoung Lee, et al. ∙

research

∙ 10/18/2021

Natural Attribute-based Shift Detection

Despite the impressive performance of deep networks in vision, language,...

2 Jeonghoon Park, et al. ∙

research

∙ 08/08/2021

Unifying Heterogenous Electronic Health Records Systems via Text-Based Code Embedding

Substantial increase in the use of Electronic Health Records (EHRs) has ...

0 Kyunghoon Hur, et al. ∙

research

∙ 05/24/2021

Multi-modal Understanding and Generation for Medical Images and Text via Vision-Language Pre-Training

Recently a number of studies demonstrated impressive performance on dive...

0 Jong Hak Moon, et al. ∙

research

∙ 05/12/2021

Improving Lexically Constrained Neural Machine Translation with Source-Conditioned Masked Span Prediction

Generating accurate terminology is a crucial component for the practical...

0 Gyubok Lee, et al. ∙

research

∙ 01/19/2021

A System for Automated Open-Source Threat Intelligence Gathering and Management

To remain aware of the fast-evolving cyber threat landscape, open-source...

0 Peng Gao, et al. ∙

research

∙ 11/26/2020

Evaluation of Out-of-Distribution Detection Performance of Self-Supervised Learning in a Controllable Environment

We evaluate the out-of-distribution (OOD) detection performance of self-...

0 Jeonghoon Park, et al. ∙

research

∙ 10/19/2020

Knowledge Graph-based Question Answering with Electronic Health Records

Question Answering (QA) on Electronic Health Records (EHR), namely EHR Q...

0 Junwoo Park, et al. ∙

research

∙ 10/16/2020

Neural Ordinary Differential Equations for Intervention Modeling

By interpreting the forward dynamics of the latent representation of neu...

0 Daehoon Gwak, et al. ∙

research

∙ 10/16/2020

Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation

Video generation models often operate under the assumption of fixed fram...

0 Sunghyun Park, et al. ∙

research

∙ 06/11/2019

Graph Convolutional Transformer: Learning the Graphical Structure of Electronic Health Records

Effective modeling of electronic health records (EHR) is rapidly becomin...

6 Edward Choi, et al. ∙

research

∙ 06/10/2019

Analyzing the Role of Model Uncertainty for Electronic Health Records

In medicine, both ethical and monetary costs of incorrect predictions ca...

3 Michael W. Dusenberry, et al. ∙

research

∙ 06/08/2019

Clinical Concept Extraction for Document-Level Coding

The text of clinical notes can be a valuable source of patient informati...

0 Sarah Wiegreffe, et al. ∙

research

∙ 10/22/2018

MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare

Deep learning models exhibit state-of-the-art performance for many predi...

0 Edward Choi, et al. ∙

research

∙ 05/28/2018

RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records

In the past decade, we have seen many successful applications of recurre...

0 Bum Chul Kwon, et al. ∙

research

∙ 04/06/2018

Compositional Obverter Communication Learning From Raw Visual Input

One of the distinguishing aspects of human language is its compositional...

0 Edward Choi, et al. ∙

research

∙ 11/18/2017

MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks

We present MorphNet, an approach to automate the design of neural networ...

0 Ariel Gordon, et al. ∙

research

∙ 03/19/2017

Generating Multi-label Discrete Patient Records using Generative Adversarial Networks

Access to electronic health record (EHR) data has motivated computationa...

0 Edward Choi, et al. ∙

research

∙ 02/08/2017

Causal Regularization

In application domains such as healthcare, we want accurate predictive m...

0 Mohammad Taha Bahadori, et al. ∙

research

∙ 08/19/2016

RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism

Accuracy and interpretability are two dominant features of successful pr...

0 Edward Choi, et al. ∙

research

∙ 02/11/2016

Medical Concept Representation Learning from Electronic Health Records and its Application on Heart Failure Prediction

Objective: To transform heterogeneous clinical data from electronic heal...

0 Edward Choi, et al. ∙

Edward Choi

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