1 citations · 1 across the 13 of their papers we have counts for
13 papers
ProCon: Projection-Consistency Memory for Training-Free Anomaly Detection
Joongwon Chae, Lihui Luo, Yang Liu +4
Memory-based anomaly detection is attractive because it localizes defects from normal images without training a decoder or synthesizing pseudo anomalies. However, most memory metho…
MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support
Lihui Luo, Joongwon Chae, Ziyan Chen +13
Traditional Chinese Medicine (TCM) diagnosis, particularly through tongue inspection, faces persistent challenges in subjectivity and reproducibility. The application of multimodal…
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…
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…
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…
Auditable Context-Aware HFMD Forecasting with Structured LLM Agents
Joongwon Chae, Runming Wang, Chen Xiong +5
Effective HFMD surveillance requires forecasts capturing both time-series patterns and contextual drivers such as school calendars, weather, and policy or surveillance reports. In…
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…
Grid-augmented vision: A simple yet effective approach for enhanced spatial understanding in multi-modal agents
Joongwon Chae, Zhenyu Wang, Lian Zhang +2
Recent advances in multimodal models have demonstrated impressive capabilities in object recognition and scene understanding. However, these models often struggle with precise spat…
COVID-19: post infection implications in different age groups, mechanism, diagnosis, effective prevention, treatment, and recommendations
Muhammad Akmal Raheem, Muhammad Ajwad Rahim, Ijaz Gul +9
SARS-CoV-2, the highly contagious pathogen responsible for the COVID-19 pandemic, has persistent effects that begin four weeks after initial infection and last for an undetermined…
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…
Light sheet and light field microscopy based on scanning Bessel beam illumination
Chuhui Wang, Jiaju Chen, Cuiyi Peng +3
We developed a Bessel light sheet fluorescence microscopy (LSFM) system to enable high-speed, wide-field intra-vital imaging of zebrafish and other thick biological samples. This s…
Chinese herb medicine in augmented reality
Qianyun Zhu, Yifeng Xie, Fangyang Ye +4
Augmented reality becomes popular in education gradually, which provides a contextual and adaptive learning experience. Here, we develop a Chinese herb medicine AR platform based t…
Object Detection for Caries or Pit and Fissure Sealing Requirement in Children's First Permanent Molars
Chenyao Jiang, Shiyao Zhai, Hengrui Song +10
Dental caries is one of the most common oral diseases that, if left untreated, can lead to a variety of oral problems. It mainly occurs inside the pits and fissures on the occlusal…