88 citations · 322 across the 24 of their papers we have counts for
24 papers
Open-Medical-R1: How to Choose Data for RLVR Training at Medicine Domain
Zhongxi Qiu, Zhang Zhang, Yan Hu +2
This paper explores optimal data selection strategies for Reinforcement Learning with Verified Rewards (RLVR) training in the medical domain. While RLVR has shown exceptional poten…
COph100: A comprehensive fundus image registration dataset from infants constituting the "RIDIRP" database
Yan Hu, Mingdao Gong, Zhongxi Qiu +7
Retinal image registration is vital for diagnostic therapeutic applications within the field of ophthalmology. Existing public datasets, focusing on adult retinal pathologies with…
Medical Image Registration and Its Application in Retinal Images: A Review
Qiushi Nie, Xiaoqing Zhang, Yan Hu +2
Medical image registration is vital for disease diagnosis and treatment with its ability to merge diverse information of images, which may be captured under different times, angles…
A Generic Fundus Image Enhancement Network Boosted by Frequency Self-supervised Representation Learning
Heng Li, Haofeng Liu, Huazhu Fu +5
Fundus photography is prone to suffer from image quality degradation that impacts clinical examination performed by ophthalmologists or intelligent systems. Though enhancement algo…
Frequency-mixed Single-source Domain Generalization for Medical Image Segmentation
Heng Li, Haojin Li, Wei Zhao +4
The annotation scarcity of medical image segmentation poses challenges in collecting sufficient training data for deep learning models. Specifically, models trained on limited data…
Label-noise-tolerant medical image classification via self-attention and self-supervised learning
Hongyang Jiang, Mengdi Gao, Yan Hu +3
Deep neural networks (DNNs) have been widely applied in medical image classification and achieve remarkable classification performance. These achievements heavily depend on large-s…