IEEE JBHI

ChemFixer: Correcting Invalid Molecules to Unlock Previously Unseen Chemical Space

J.-H. Park, H.-J. Song, S.-W. Lee

Data Adaptive Stochastic Ensemble Net: Optimizing Infection Predictions for COVID-19 Cluster Analysis

Sungjun Lim, Yongtaek Lim, Hojun Park, Junggu Lee, Jaehun Jung, Kyungwoo Song

EEG-based Cross-subject Prediction for Consciousness State Transitions under Sedation using a Deep Learning Framework

J.-H. Jeong, M. Lee, C. Lee, S.-H. Yu, H.-Y. Park, S.-N. Jang, R. D. Sanders, S.-W. Lee

MD-ViSCo: A Unified Model for Multi-Directional Vital Sign Waveform Conversion

Franck Meyer, Kyunghoon Hur, Edward Choi

SSF-SET: A Discrete EEG Token-based Framework for Sleep Stage Forecasting

Y.-S. Kweon, G.-H. Shin, D.-H. Lee, S.-W. Lee

Dynamic Multi-biosignal Fusion for Detecting the Mental States of Drivers and Passengers in Vehicles

S.-H. Park, D.-K. Han, G.-D. Jang, S.-W. Lee

Forecasting epidemic spread with recurrent graph gate fusion transformers

Minkyoung Kim, Jae Heon Kim, Beakcheol Jang

A Unified Multi-Modality Fusion Framework for Deep Spatio-Temporal-Spectral Feature Learning in Resting-State fMRI Denoising

Minjoo Lim, Keun-Soo Heo, Jun-mo Kim, Bogyeong Kang, W. Lin, H. Zhang, D. Shen, Tae-Eui Kam

DeepHealthNet: Adolescent Obesity Prediction System Based on a Deep Learning Framework

J.-H. Jeong, I.-G. Lee, S.-K. Kim, Tae-Eui Kam, S.-W. Lee, E. Lee

DeepHealthNet: Adolescent Obesity Prediction System Based on a Deep Learning Framework

J.-H. Jeong, I.-G. Lee, S.-K. Kim, T.-E. Kam, S.-W. Lee, and E. Lee

Dual Representation Learning for Predicting Drug-side Effect Frequency using Protein Target Information

Park S, Lee S, Pak M, Kim S

FTMMR: Fusion Transformer for Integrating Multiple Molecular Representations

Young-Han Son, Dong-Hee Shin, Tae-Eui Kam

Fundus image enhancement through direct diffusion bridges

Sehui Kim, Hyungjin Chung, Se Hie Park, Eui-Sang Chung, Kayoung Yi, Jong Chul Ye

GenHPF : General Healthcare Predictive Framework for Multi-task Multi-source Learning

Kyunghoon Hur, Jungwoo Oh, Junu Kim, Min Jae Lee, Eunbyeol Cho, Jiyoun Kim, Seong-Eun Moon, Young-Hak Kim, Louis Atallah, Edward Choi

Graph-based Conditional Generative Adversarial Networks for Major Depressive Disorder Diagnosis with Synthetic functional Brain Network Generation

Ji-Hye Oh, Deok-Joong Lee, Chang-Hoon Ji, Dong-Hee Shin, Ji-Wung Han, Young-Han Son, Tae-Eui Kam

Improving Medical Speech-to-Text Accuracy using Vision-Language Pre-training Models

J. Huh, S. Park, J. E. Lee, Jong Chul Ye

MEDi-SOL: Multi Ensemble Distribution Model for Estimating Sleep Onset Latency

S.-W. Oh, Y.-S. Kweon, G.-H. Shin, S.-W. Lee

MS-DINO: Masked Self-Supervised Distributed Learning Using Vision Transformer

S. Park, I. J. Lee, J. W. Kim, Jong Chul Ye

Multiband Convolutional Riemannian Network with Band-wise Riemannian Triplet Loss for Motor Imagery Classification

Jinhyo Shin, Wonzoo Chung

Sparse Graph Representation Learning based on Reinforcement Learning for Personalized Mild Cognitive Impairment (MCI) Diagnosis

Chang-Hoon Ji, Dong-Hee Shin, Young-Han Son, Tae-Eui Kam

Spectral Graph Neural Network-based Multi-atlas Brain Network Fusion for Major Depressive Disorder Diagnosis

Deok-Joong Lee, Dong-Hee Shin, Young-Han Son, Ji-Wung Han, Ji-Hye Oh, Da-Hyun Kim, J.-H. Jeong, Tae-Eui Kam

Multi-band CNN with Band-dependent Kernels and Amalgamated Cross Entropy Loss for Motor Imagery Classification

Jinhyo Shin, Wonzoo Chung

Multi-scale Hybrid Vision Transformer for Learning Gastric Histology: AI-based Decision Support System for Gastric Cancer Treatment

Multi-Scale Hybrid Vision Transformer for Learning Gastric Histology: AI-Based Decision Support System for Gastric Cancer Treatment

Yujin Oh, Go Eun Bae, Kyung-Hee Kim, Min-Kyung Yeo, Jong Chul Ye

Practical Training Approaches for Discordant Atopic Dermatitis Severity Datasets: Merging Methods with Soft-label and Train-set Pruning

Soo Ick Cho*, Dongheon Lee*, Byeol Han, Ji Su Lee, Ji Yeon Hong, Jin Ho Chung, Dong Hun Lee†, Jung-Im Na†