activity
20152023
most citedGenerating Multi-label Discrete Patient Records using Generative Adversarial Networks

360 citations · 2k across the 47 of their papers we have counts for

collaborators

48 papers

cs.CL2023★ 5 cited

Publicly Shareable Clinical Large Language Model Built on Synthetic Clinical Notes

Sunjun Kweon, Junu Kim, Jiyoun Kim +12

The development of large language models tailored for handling patients' clinical notes is often hindered by the limited accessibility and usability of these notes due to strict pr…

cs.CV2023

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

Jiyoung Lee, Seungho Kim, Seunghyun Won +6

AI alignment refers to models acting towards human-intended goals, preferences, or ethical principles. Given that most large-scale deep learning models act as black boxes and canno…

cs.CL2023

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

Hyunseung Chung, Jiho Kim, Joon-myoung Kwon +3

Electrocardiogram (ECG) synthesis is the area of research focused on generating realistic synthetic ECG signals for medical use without concerns over annotation costs or clinical d…

eess.IV2023★ 29 cited

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

Daeun Kyung, Kyungmin Jo, Jaegul Choo +2

X-ray computed tomography (CT) is one of the most common imaging techniques used to diagnose various diseases in the medical field. Its high contrast sensitivity and spatial resolu…

cs.LG2023

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

Eunbyeol Cho, Min Jae Lee, Kyunghoon Hur +3

Making the most use of abundant information in electronic health records (EHR) is rapidly becoming an important topic in the medical domain. Recent work presented a promising frame…

cs.LG2023

Deep Imbalanced Time-series Forecasting via Local Discrepancy Density

Junwoo Park, Jungsoo Lee, Youngin Cho +4

Time-series forecasting models often encounter abrupt changes in a given period of time which generally occur due to unexpected or unknown events. Despite their scarce occurrences…