activity
20192026
most citedReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction

14 citations · 31 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2026

Deep Expert Injection for Anchoring Retinal VLMs with Domain-Specific Knowledge

Shuai Lu, Meng Wang, Jia Guo +6

Large Vision Language Models (LVLMs) show immense potential for automated ophthalmic diagnosis. However, their clinical deployment is severely hindered by lacking domain-specific k…

cs.CV2024★ 3 cited

Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection

Jia Guo, Shuai Lu, Weihang Zhang +3

Recent studies highlighted a practical setting of unsupervised anomaly detection (UAD) that builds a unified model for multi-class images. Despite various advancements addressing t…

cs.CV2024

RET-CLIP: A Retinal Image Foundation Model Pre-trained with Clinical Diagnostic Reports

Jiawei Du, Jia Guo, Weihang Zhang +4

The Vision-Language Foundation model is increasingly investigated in the fields of computer vision and natural language processing, yet its exploration in ophthalmology and broader…

cs.CV2024

Absolute-Unified Multi-Class Anomaly Detection via Class-Agnostic Distribution Alignment

Jia Guo, Haonan Han, Shuai Lu +2

Conventional unsupervised anomaly detection (UAD) methods build separate models for each object category. Recent studies have proposed to train a unified model for multiple classes…

cs.CV2023★ 14 cited

ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction

Jia Guo, Shuai Lu, Lize Jia +2

Most advanced unsupervised anomaly detection (UAD) methods rely on modeling feature representations of frozen encoder networks pre-trained on large-scale datasets, e.g. ImageNet. H…

eess.IV2023★ 11 cited

Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge

Gongning Luo, Kuanquan Wang, Jun Liu +27

Efficient automatic segmentation of multi-level (i.e. main and branch) pulmonary arteries (PA) in CTPA images plays a significant role in clinical applications. However, most exist…

eess.IV2019

Automatic Calculation of Resolution in Lateral Cephalogram Based on Scale Mark Detection

Jia Guo, Shumeng Wang, Huiqi Li

Cephalometric analysis is an important tool for orthodontic diagnosis. At present, most cephalometric analysis is performed with the help of image processing techniques. Hence, the…

eess.IV2019★ 3 cited

Automatic Analysis System of Calcaneus Radiograph: Rotation-Invariant Landmark Detection for Calcaneal Angle Measurement, Fracture Identification and Fracture Region Segmentation

Jia Guo, Yuxuan Mu, Dong Xue +5

Calcaneus is the largest tarsal bone to withstand the daily stresses of weight-bearing. The calcaneal fracture is the most common type in the tarsal bone fractures. After a fractur…