activity
20232026
most citedToward Robust Canine Cardiac Diagnosis: Deep Prototype Alignment Network-Based Few-Shot Segmentation in Veterinary Medicine

1 citations · 2 across the 7 of their papers we have counts for

collaborators

8 papers

cs.AI2026

EMHO: EMbodied Agent Harness Optimization via Experience Traces

Hyun Jung Lee, Jungtaek Kim, Jongwon Jeong +3

Improving embodied agents often focuses on optimizing the underlying model through training, while the surrounding agent harness that controls planning, context, and tool use is ty…

cs.IR2026

Your Embedding Model is SMARTer Than You Think

Jianrui Zhang, Hyun Jung Lee, Sukanta Ganguly +3

Multimodal retrieval relies heavily on single-vector retrievers, which compress rich, sequential token sequences into one single global representation. While efficient, they discar…

cs.LG2025

Treatment Stitching with Schrödinger Bridge for Enhancing Offline Reinforcement Learning in Adaptive Treatment Strategies

Dong-Hee Shin, Deok-Joong Lee, Young-Han Son +1

Adaptive treatment strategies (ATS) are sequential decision-making processes that enable personalized care by dynamically adjusting treatment decisions in response to evolving pati…

cs.CV2025

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 +3

The automatic generation of radiology reports has emerged as a promising solution to reduce a time-consuming task and accurately capture critical disease-relevant findings in X-ray…

eess.IV2025

Multi-modal Contrastive Learning for Tumor-specific Missing Modality Synthesis

Minjoo Lim, Bogyeong Kang, Tae-Eui Kam

Multi-modal magnetic resonance imaging (MRI) is essential for providing complementary information about brain anatomy and pathology, leading to more accurate diagnoses. However, ob…

cs.CV2024★ 1 cited

Toward Robust Canine Cardiac Diagnosis: Deep Prototype Alignment Network-Based Few-Shot Segmentation in Veterinary Medicine

Jun-Young Oh, In-Gyu Lee, Tae-Eui Kam +1

In the cutting-edge domain of medical artificial intelligence (AI), remarkable advances have been achieved in areas such as diagnosis, prediction, and therapeutic interventions. De…

cs.AI2023★ 1 cited

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

Ji-Hoon Jeong, In-Gyu Lee, Sung-Kyung Kim +3

Childhood and adolescent obesity rates are a global concern because obesity is associated with chronic diseases and long-term health risks. Artificial intelligence technology has e…

cs.CV2023

Multi-view Cross-Modality MR Image Translation for Vestibular Schwannoma and Cochlea Segmentation

Bogyeong Kang, Hyeonyeong Nam, Ji-Wung Han +2

In this work, we propose a multi-view image translation framework, which can translate contrast-enhanced T1 (ceT1) MR imaging to high-resolution T2 (hrT2) MR imaging for unsupervis…