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Complex Wavelet-Based Transformer for Neurodevelopmental Disorder Diagnosis via Direct Modeling of Real and Imaginary Components

A. Jeong, D.-W. Heo, H.-I. Suk

KU석흥일

DAMEC: Disease-Aware Multi-Expert Consensus Framework for Study-Level Radiology Report Generation

J. Maeng, E. Kang, H.-I. Suk

KU석흥일

FIESTA: Fourier-Based Semantic Augmentation with Uncertainty Guidance for Enhanced Domain Generalizability in Medical Image Segmentation

K. Oh, E. Jeon, D.-W. Heo, Y. Shin, H.-I. Suk

KU석흥일

Adaptive Static-Dynamic Functional Connectivity Feature Fusion for Diagnosis of Mild Cognitive Impairment

Yu-Kyum Kang, Chang-Hoon Ji, Ji-Hye Oh, Su-Yeon Kwak, Ji-Wung Han, Tae-Eui Kam

KU감태의

Retrieval-based Mixture-of-Experts for Patient-Specific Cancer Survival Prediction with Incomplete Multimodal Data

Minjoo Lim, Bogyeong Kang, Hyun Jung Lee, Eunjung Jo, Keun-Soo Heo, Mingxia Liu, Tae-Eui Kam

KU감태의

Deep Language Model-based Early Recognition of Out-of-Hospital Cardiac Arrest from Real-Time Emergency Calls

Hong-Jae Choi, Minyoung Hwang, Sangyeon Cho, Hyunsoo Kim, Junyeong Kim, Woori Bae, Changhee Lee

KU이창희

Trajectory-Aware Clinical Risk Prediction via Severity-Grounded Knowledge Graphs and Retrieval-Augmented Generation

Kyunghoon Jeon, Youmin Ko, Woohwan Jung, Hyunjoon Kim

KU정우환

AI Augmented Confocal Laser Endomicroscopy for Rapid Intraoperative Diagnosis of Brain Tumors

Seo, H., Byun Y.W., Won, J.K., Lee, B., Hong, D.H., Nam, S.M., Hwang, J.H., Kim, M.S., Kim, Y.H., Kim, J.H., Yu, M.O., Park, K.J., Kim., H.J., Das, S., Kong, D.S., Park, C.K., Kang, S.H.

KU서현석

Unsupervised Domain Adaptation for Medical Image Segmentation Using Adaptogen-Perturbation

Hong Joo Lee, Yuan Bi, Sangmin Lee, G.-M. Park, Jung Uk Kim, Seong Tae Kim, Zhongliang Jiang, Nassir Navab

KU박경문

Semantic-Level Invariant Representation Learning for Cross-Hospital Clinical EEG Modeling

K. Yin, H.-B. Shin, S.-W. Lee

KU이성환

Establishing the robustness metric as a scalable proxy for clinical relevance in medical AI explainability

Cho, Daehyun, You, Sung-Hye, Kim, Bo Kyu, Park, Arim, Wallraven, Christian

KUChristian Wallraven

DyMix: Dynamic Frequency Mixup Scheduler-based Unsupervised Domain Adaptation for Enhancing Alzheimer's Disease Identification

K. Oh, Y. Shin, H.-I. Suk

KU석흥일

PaT-Diff: Pathology-Aware Residual Diffusion Framework for MRI-to-PET Translation in Alzheimer's Disease

H.-E. Kim, K. Oh, H.-I. Suk

KU석흥일

SAM-TXD: SAM with Text-Guided Diffusion for Refined Medical Image Segmentation

S. Yoo, J. Sohn, K. Oh, H.-I. Suk

KU석흥일

Brain Topology-Driven Graph Structure Learning for Functional Brain Network-Based Major Depressive Disorder Diagnosis

Suyeon Kwak, Ji-Hye Oh, Chang-Hoon Ji, Yu-Kyum Kang, Jaeyong Chang, Tae-Eui Kam

KU감태의

EEG-based epileptic seizure prediction with patient-tailored spectral-spatial-temporal feature learning

Woohyeok Choi, Jun-Mo Kim, Hyeonyeong Nam, Soyeon Bak, Dong-Hee Shin, Tae-Eui Kam

KU감태의

Development of head-to-head and longitudinal CycleGAN algorithm for MRI harmonization: validation in follow-up MRI evaluation in patients with brain metastasis

H Hwang, HU Choi, H Jeong, HW Lim, SW Jo, YH Jeon, SH Choi, RE Yoo

KU성준경

Time-to-event Ensemble Machine Learning Approach for Predicting Long-term Survival of Abdominal Aortic Aneurysm Patients Undergoing Endovascular Aneurysm Repair

Hong-Jae Choi, Changhee Lee, Joon Seo Lim, You Jung Ok, Jae-Sung Choi, Jae Hwa Jeong, Yong Won Seong, Hyeon Jong Moon, Se Jin Oh

KU이창희

LMMSE: A Clinically Inspired Framework for Cognitive Evaluation of Large Language Models

Chanwoo Park, Chanwoo Kim

KU김찬우

Adaptive Reward Weighting via Reinforcement Learning for Major Depressive Disorder Diagnosis

Jiyoung Hwang, Chang-Hoon Ji, Ji-Hye Oh, Yu-Kyum Kang, Suyeon Kwak, Ji-Wung Han, Tae-Eui Kam

KU감태의

Agentic Brain: Agentic AI System for Autonomous Diagnosis of Functional Connectivity Network

Chang-Hoon Ji, Ji-Hye Oh, Yu-Kyum Kang, Suyeon Kwak, Ji-Wung Han, Jun-Mo Kim, Jiyoung Hwang, Tae-Eui Kam

KU감태의

RegionFormer: A Region-guided Transformer for Patient-independent Seizure Prediction using EEG

WooHyeok Choi, Jun-Mo Kim, Yebin Choi, Songha Kim, Y.-M. Shin, K.-I. Park, Y.-G. Kim, Tae-Eui Kam

KU감태의

Development of a Long-term Survival Prediction Model for Patients Undergoing Invasive Coronary Angiography using Ensemble-based Machine Learning in Time-to-event Analysis

Hong-Jae Choi, Hyeryn Park, Dongjoon Lee, Changhee Lee, Hack-Lyoung Kim

KU이창희

Delta2Gamma: Band-Wise Adaptive Contrastive Learning of EEG Rhythms for Alzheimer's Disease Detection

Chanwoo Park, Chanwoo Kim

KU김찬우

Knowledge-guided strain-damage image correlation for diagnosing nonlinear mechanical behavior of freely stretched ultra-thin polymer films on water surface

Myoung Song, Seung Jin Oh, Sungho Suh, Tae Yeob Kang, and Taek-Soo Kim

KU서승호

Can Small Open-source Language Models with Retrieval-Augmented Generation Match GPT-4 Performance in Breast Cancer Clinical Decision Support?

Chanhee Park, In Hae Park, Minhyuk Kim, Youngjoon Jang, Heuiseok Lim

KU임희석

Deep Geometric Learning with Monotonicity Constraints for Alzheimer's Disease Progression

S. Jeong, W. Jung, J. Sohn, H.-I. Suk

KU석흥일

Diff-RRG: Longitudinal Disease-wise Patch Difference as Guidance for LLM-based Radiology Report Generation

H. Yun, Maeng, E. Kang, H.-I. Suk

KU석흥일

DART: Disease-aware Image-Text Alignment and Self-correcting Re-alignment for Trustworthy Radiology Report Generation

Sang-Jun Park, Keun-Soo Heo, Dong-Hee Shin, Young-Han Son, Ji-Hye Oh, Tae-Eui Kam

KU감태의

Benchmark Profiling: Mechanistic Diagnosis of LLM Benchmarks

Dongjun Kim, Gyuho Shim, Yongchan Chun, Minhyuk Kim, Chanjun Park, Heuiseok Lim

KU임희석