activity
20212025
most citedNuclei Segmentation with Point Annotations from Pathology Images via Self-Supervised Learning and Co-Training

49 citations · 80 across the 11 of their papers we have counts for

collaborators
Showing cs.CVShow all

5 papers · 1 filter

cs.CV2025

SP-SLAM: Neural Real-Time Dense SLAM With Scene Priors

Zhen Hong, Bowen Wang, Haoran Duan +6

Neural implicit representations have recently shown promising progress in dense Simultaneous Localization And Mapping (SLAM). However, existing works have shortcomings in terms of…

cs.CV2024

Unlocking the Potential of Weakly Labeled Data: A Co-Evolutionary Learning Framework for Abnormality Detection and Report Generation

Jinghan Sun, Dong Wei, Zhe Xu +7

Anatomical abnormality detection and report generation of chest X-ray (CXR) are two essential tasks in clinical practice. The former aims at localizing and characterizing cardiopul…

cs.CV2024

PASS:Test-Time Prompting to Adapt Styles and Semantic Shapes in Medical Image Segmentation

Chuyan Zhang, Hao Zheng, Xin You +2

Test-time adaptation (TTA) has emerged as a promising paradigm to handle the domain shifts at test time for medical images from different institutions without using extra training…

cs.CV2024★ 23 cited

Learning Spectral-Decomposed Tokens for Domain Generalized Semantic Segmentation

Jingjun Yi, Qi Bi, Hao Zheng +5

The rapid development of Vision Foundation Model (VFM) brings inherent out-domain generalization for a variety of down-stream tasks. Among them, domain generalized semantic segment…

cs.CV2024

Prototype Correlation Matching and Class-Relation Reasoning for Few-Shot Medical Image Segmentation

Yumin Zhang, Hongliu Li, Yajun Gao +3

Few-shot medical image segmentation has achieved great progress in improving accuracy and efficiency of medical analysis in the biomedical imaging field. However, most existing met…