36 citations · 55 across the 7 of their papers we have counts for
7 papers
Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development
Zhongying Deng, Cheng Tang, Ziyan Huang +124
Foundation models have demonstrated remarkable success across diverse domains and tasks, primarily due to the thrive of large-scale, diverse, and high-quality datasets. However, in…
JIANG: Chinese Open Foundation Language Model
Qinhua Duan, Wenchao Gu, Yujia Chen +3
With the advancements in large language model technology, it has showcased capabilities that come close to those of human beings across various tasks. This achievement has garnered…
MedFMC: A Real-world Dataset and Benchmark For Foundation Model Adaptation in Medical Image Classification
Dequan Wang, Xiaosong Wang, Lilong Wang +12
Foundation models, often pre-trained with large-scale data, have achieved paramount success in jump-starting various vision and language applications. Recent advances further enabl…
Hybrid Supervision Learning for Pathology Whole Slide Image Classification
Jiahui Li, Wen Chen, Xiaodi Huang +5
Weak supervision learning on classification labels has demonstrated high performance in various tasks, while a few pixel-level fine annotations are also affordable. Naturally a que…
SenseCare: A Research Platform for Medical Image Informatics and Interactive 3D Visualization
Qi Duan, Guotai Wang, Rui Wang +12
Clinical research on smart health has an increasing demand for intelligent and clinic-oriented medical image computing algorithms and platforms that support various applications. T…
Large-scale Gastric Cancer Screening and Localization Using Multi-task Deep Neural Network
Hong Yu, Xiaofan Zhang, Lingjun Song +20
Gastric cancer is one of the most common cancers, which ranks third among the leading causes of cancer death. Biopsy of gastric mucosa is a standard procedure in gastric cancer scr…