activity
20182023
most citedDomain Adaptation Meets Zero-Shot Learning: An Annotation-Efficient Approach to Multi-Modality Medical Image Segmentation

44 citations · 133 across the 17 of their papers we have counts for

collaborators

18 papers

cs.LG2023★ 3 cited

Protein Representation Learning via Knowledge Enhanced Primary Structure Modeling

Hong-Yu Zhou, Yunxiang Fu, Zhicheng Zhang +2

Protein representation learning has primarily benefited from the remarkable development of language models (LMs). Accordingly, pre-trained protein models also suffer from a problem…

cs.CV2022★ 17 cited

Biomedical image analysis competitions: The state of current participation practice

Matthias Eisenmann, Annika Reinke, Vivienn Weru +352

The number of international benchmarking competitions is steadily increasing in various fields of machine learning (ML) research and practice. So far, however, little is known abou…

cs.CV2022★ 2 cited

ProCo: Prototype-aware Contrastive Learning for Long-tailed Medical Image Classification

Zhixiong Yang, Junwen Pan, Yanzhan Yang +4

Medical image classification has been widely adopted in medical image analysis. However, due to the difficulty of collecting and labeling data in the medical area, medical image da…

cs.CV2022★ 44 cited

Domain Adaptation Meets Zero-Shot Learning: An Annotation-Efficient Approach to Multi-Modality Medical Image Segmentation

Cheng Bian, Chenglang Yuan, Kai Ma +3

Due to the lack of properly annotated medical data, exploring the generalization capability of the deep model is becoming a public concern. Zero-shot learning (ZSL) has emerged in…

eess.IV2022

Label-efficient Hybrid-supervised Learning for Medical Image Segmentation

Junwen Pan, Qi Bi, Yanzhan Yang +2

Due to the lack of expertise for medical image annotation, the investigation of label-efficient methodology for medical image segmentation becomes a heated topic. Recent progresses…

eess.IV2022

REFUGE2 Challenge: A Treasure Trove for Multi-Dimension Analysis and Evaluation in Glaucoma Screening

Huihui Fang, Fei Li, Junde Wu +25

With the rapid development of artificial intelligence (AI) in medical image processing, deep learning in color fundus photography (CFP) analysis is also evolving. Although there ar…