관심 주제를 입력하면 그 주제의 논문을 낸 연구실을 관련도 순으로 보여드려요. 순위가 아니라 근거 논문과 함께 보는 출발점이에요.
2026 논문이 아직 반영되지 않은 연구실은 결과에서 불리할 수 있어요.
"I Should Know, But I Dare Not Ask": From Understanding Challenges in Healthcare Journeys to Deriving Design Implications for North Korean Defectors' Adaptation
Hyungwoo Song, Jeongha Kim, Minju Kim, Duhyung Kwak, Minjeong Shin, Bongwon Suh, Hyunggu Jung
SNU서봉원
Diagnosing and Correcting Concept Omission in Multimodal Diffusion Transformers
Kanghyun Baek, Jaihyun Lew, Chaehun Shin, Jungbeom Lee, Sungroh Yoon
SNU윤성로
Temporal Island Sparse Autoencoders for Interpreting Clinical Time-Series Models
Muhan Yeo, Bong Gyun Kang, HyunGi Kim, Sungroh Yoon
SNU윤성로
Time-Conditioned Foreseeing: An EHR-Specific Foundation Model for Irregular Dynamics and Calendrical Time
Bong Gyun Kang, Junyong Ahn, Hyeongrok Han, Sungroh Yoon
SNU윤성로
Integrative genomic analysis of 21 orofacial diseases identifies shared genetic architecture with systemic diseases
Kisung Nam*, Byeong Soo Eom*, June Yeon Kim*, Moon Geon Lee, Jeong-Min Lee, Kyeongho Lee, Jae-Kook Cha, Jin Man Kim, Seunggeun Lee, Sung-Jin Kim
SNU이승근
Medic-AD: Towards Medical Vision-Language Model's Clinical Intelligence
Woohyeon Park*, Jaeik Kim, Sunghwan Steve Cho, Pa Hong, Woo Kyoung Jeong, Yoojin Nam, Nam-Joon Kim, Ginny Wong, Ka Chun Cheung, Jaeyoung Do^
SNU도재영
Think Like a Doctor: Conversational Diagnosis through the Exploration of Diagnostic Knowledge Graphs
Jeongmoon Won, Seungwon Kook, Yohan Jo
SNU조요한
Learning Diagnostic Clarifying Questions for Conversational Question Answering via Data-Efficient Dynamic Distillation
Jihyeong Jeon, Cheol Ryu, U Kang
SNU강유
Spatiotemporal optimization of NOx and VOC emissions using a hybrid inversion framework and implications for ozone sensitivity-regime diagnosis
Jeonghyeok Moon, Wonbae Jeon, Sujong Jeong, Yunsoo Choi, Hyun Cheol Kim, Soon-Young Park, Juseon Bak, Jung-Woo Yoo, Jaehyeong Park, Dongjin Kim, Hyeonsik Choe, Chae-Yeong Yang, and Min Heo
SNU정수종
Hypoxemia prediction in pediatric patients under general anesthesia using machine learning: a retrospective observational study and external validation
Sujin Baek*, Jung-Bin Park*, Ji Hye Heo, Kyungsang Kim, Donghyeon Baek, Chahyun Oh, Hyung-Chul Lee, Dongheon Lee†, and Boohwi Hong†
SNU이동헌
CliniCAST: Benchmarking Acoustic Grounding and Text Dominance in Medical Triage
Kyusik Kim, Hyunwoo Yoo, Jaehoon Choi, Kitae Kim, Gail Rosen, Bongwon Suh
SNU서봉원
Generating Interpretable Context-Aware Medical Concept Embedding Implicating Expert Knowledge using LLMs
Bong Gyun Kang*, Hyeongrok Han*, Junyong Ahn, Myungdeok Jang, Ho Geol Ryu, Hyung-Chul Lee, Chang Wook Jeong, Dahuin Jung, Si-Baek Seong, Sungroh Yoon
SNU윤성로
Exhalation-Synchronous Robotic Abdominal Compression for User-Centered Respiratory Assistance and Training in Neurological Patients
Sang-Yoep Lee, Jaewon Beom, Jin-Oh Hahn, Jae-Young Lim, Kyu-Jin Cho
SNU조규진
ColonOOD: A Complete Pipeline for Optical Diagnosis of Colorectal Polyps Integrating Out-of-Distribution Detection and Uncertainty Quantification
Sehyun Park^, Dongheon Lee^, Ji Young Lee, Jaeyoung Chun, Ji Young Chang, Eunsu Baek, Eun Hyo Jin, and Hyung-Sin Kim*
SNU김형신
Uncovering group robustness issue in early diagnosis of MCI to AD conversion and a simple solution: Decoupled classifier with adaptive linear modulation
Juhyeon Park, Donggyu Lee, and Taesup Moon
SNU문태섭
Deep learning for predicting patient drug response by transferring gene-level and cell-level knowledge to tumors
Sung I, Bang D, Kim S, Lee S
SNU김선
Deep learning frameworks for translating cancer drug response from cell-level to patient-level by modeling transcriptome
Kim S, Koo B, Bang D, Sung I, Cho C, Lee S, Won KJ
SNU김선
Patient-level drug response prediction through dual adversarial alignment of pre- and post-drug treatment transcriptomic states
An S, Cho C, Kim S
SNU김선
Predicting Therapeutic Outcome via Aligning Patient-Specific Knowledge Graph and Gene-Level Perturbation Representations
Bang D, An S, Sung I, Yun I, Kim S, Lee S
SNU김선
An Interactive LVM–LLM Agent for Dementia Screening: Towards Clinical Translation of Explainable AI
Hyun Sik Yang*, Dongheon Lee, Chang Min Park†
SNU이동헌
Auditing Clinical Concept Fragmentation in Sparse Medical Vision–Language Representations
Junah Jung*, YeonGyu Han*, Chang Min Park†, Dongheon Lee†
SNU이동헌
Opportunistic DXA Imaging AI Improves Fracture Risk Prediction and Clinical Reclassification
Yisak Kim*, Dongheon Lee, Jinhwan Kim, Hee Dong Chae, Chang Min Park†, Sung Hye Kong†
SNU이동헌
Risk Certification for Clinical LLM Deferral under Latent Failure Regimes
Juyoung Park*, Hyeonsik Yang, Gyeonghyun Cho, Doye Kim, Dongheon Lee†
SNU이동헌
Diagnostic Value of Susceptibility-Based Imaging and Apparent Diffusion Coefficient for Differentiating Multiple System Atrophy–Parkinsonian Type from Parkinson's Disease
Moon B, Won SY, Youn J, Seo Y, Youn J, Kim EY, Lee J, Sohn B
SNU이종호
Shin HG, Mills KA, Dawson TM, Kim T, Lee, J, Li X, van Zijl P, Prasuhn J
SNU이종호
Abstract 5053: Comparison of machine learning-based dimensionality reduction methods for dietary patterns and their predictability of cancer risk in a large cohort study
Hyobin Lee, D. S. Heo, Sukhong Min, Si Cho, Soyoon Lee, Ji-Yeob Choi, Bongwon Suh, Daehee Kang
SNU서봉원
ECG trained artificial intelligence for the detection of patients with inducible myocardial ischemia
Jaehyun Lim, Gibeom Park, Hak Seung Lee, Joon-Myoung Kwon, Heesun Lee, Bongwon Suh, Hyun-Jae Kang, Yong-Jin Kim, Bon-Kwon Koo, H. L. Kim
SNU서봉원
Effects of a Personalized Retrieval-Augmented Generation Chatbot on Information Needs in Chronic Kidney Disease Patients: Mixed Methods Randomized Controlled Trial
Hee Jeong Hwang, Junghwan Kim, Dongseok Heo, Jeong Yun You, Jeonghwan Lee, Soie Kwon, Kyung Don Yoo, Jung Han Yoon Park, Bongwon Suh, Jung Pyo Lee, Ki Won Lee
SNU서봉원
ecSegCls: Deep learning-based method for detecting extrachromosomal DNAs in both interphase and metaphase cancer cells
H G Seo*, Y J Nam*, D U Kang, H W Bae, R D Lee, H Kim**, S Y Chun**
SNU전세영
Tailorable porous collagen hydrogels as a physiologically relevant platform for extrachromosomal DNA-associated colorectal cancer research
S Y Jo, J W Shon, S H An, Y J Nam, D W Choi, S M Lee, H G Seo, S Y Chun, H Kim, G H Kim
SNU전세영