activity
20222026
most citedGAME: Generalized deep learning model towards multimodal data integration for early screening of adolescent mental disorders

2 citations · 4 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2026

StructCore: Structure-Aware Image-Level Scoring for Training-Free Unsupervised Anomaly Detection

Joongwon Chae, Lihui Luo, Yang Liu +8

Max pooling is the de facto standard for converting anomaly score maps into image-level decisions in memory-bank-based unsupervised anomaly detection (UAD). However, because it rel…

cs.CL2026

Mapping the maturation of TCM as an adjuvant to radiotherapy

P. Bilha Githinji, Aikaterini Melliou, Xi Yuan +8

The integration of complementary medicine into oncology represents a paradigm shift that has seen to increasing adoption of Traditional Chinese Medicine (TCM) as an adjuvant to rad…

cs.CV2026

GCR: Geometry-Consistent Routing for Task-Agnostic Continual Anomaly Detection

Joongwon Chae, Lihui Luo, Yang Liu +8

Feature-based anomaly detection is widely adopted in industrial inspection due to the strong representational power of large pre-trained vision encoders. While most existing method…

cs.CV2025

Memory-SAM: Human-Prompt-Free Tongue Segmentation via Retrieval-to-Prompt

Joongwon Chae, Lihui Luo, Xi Yuan +4

Accurate tongue segmentation is crucial for reliable TCM analysis. Supervised models require large annotated datasets, while SAM-family models remain prompt-driven. We present Memo…

eess.IV2025★ 1 cited

HCMA-UNet: A Hybrid CNN-Mamba UNet with Axial Self-Attention for Efficient Breast Cancer Segmentation

Haoxuan Li, Wei song, Peiwu Qin +2

Breast cancer lesion segmentation in DCE-MRI remains challenging due to heterogeneous tumor morphology and indistinct boundaries. To address these challenges, this study proposes a…

eess.IV2024

Harnessing Intra-group Variations Via a Population-Level Context for Pathology Detection

P. Bilha Githinji, Xi Yuan, Zhenglin Chen +8

Realizing sufficient separability between the distributions of healthy and pathological samples is a critical obstacle for pathology detection convolutional models. Moreover, these…

cs.LG2023★ 2 cited

GAME: Generalized deep learning model towards multimodal data integration for early screening of adolescent mental disorders

Zhicheng Du, Chenyao Jiang, Xi Yuan +10

The timely identification of mental disorders in adolescents is a global public health challenge.Single factor is difficult to detect the abnormality due to its complex and subtle…

q-bio.QM2022★ 1 cited

Current and perspective sensing methods for monkeypox virus: a reemerging zoonosis in its infancy

Ijaz Gul, Changyue Liu, Yuan Xi +12

Objectives The review is dedicated to evaluate the current monkeypox virus (MPXV) detection methods, discuss their pros and cons, and provide recommended solutions to the problems.…