2 citations · 5 across the 13 of their papers we have counts for
13 papers
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…
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…
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…
pLDDT-Predictor: High-speed Protein Screening Using Transformer and ESM2
Joongwon Chae, Zhenyu Wang, Ijaz Gul +3
Recent advancements in protein structure prediction, particularly AlphaFold2, have revolutionized structural biology by achieving near-experimental accuracy ($\text{average RMSD} <…
Deep learning enables automated assessments of inflammatory response in zebrafish exposed to different pollutants
Lulu Xu, Peiwu Qin, Zhenglin Chen +1
In the field of environmental toxicology, rapid and precise assessment of the inflammatory response to pollutants in biological models is critical. This study leverages the power o…
Application and prospect of hydrogels in diabetic wound treatment
Jiayi Yang, Peiwu Qin, Zhenglin Chen
Diabetic foot patients face persistent, challenging wounds, prompting a quest for innovative therapies. Hydrogel, a promising modality, is increasingly recognized for its potential…
Practical Guidelines for Cell Segmentation Models Under Optical Aberrations in Microscopy
Boyuan Peng, Jiaju Chen, P. Bilha Githinji +9
Cell segmentation is essential in biomedical research for analyzing cellular morphology and behavior. Deep learning methods, particularly convolutional neural networks (CNNs), have…
Pneumonia App: a mobile application for efficient pediatric pneumonia diagnosis using explainable convolutional neural networks (CNN)
Jiaming Deng, Zhenglin Chen, Minjiang Chen +4
Mycoplasma pneumoniae pneumonia (MPP) poses significant diagnostic challenges in pediatric healthcare, especially in regions like China where it's prevalent. We introduce Pneumonia…
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…
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…