Work

HGMSurvNet: A two-stage hypergraph learning network for multimodal cancer survival prediction

Year: 2025

Type: article

Source: Medical Image Analysis

DOI: 10.1016/j.media.2025.103661

Authors: Saisai Ding, Linjin Li, Ge Jin, Jun Wang, Shihui Ying, Jun Shi

Institutions: Shanghai University, Wenzhou Medical University, Wenzhou City People's Hospital

Language: English

Topic: AI in cancer detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Natural Science Foundation of China, Higher Education Discipline Innovation Project, Key Technologies Research and Development Program, National Key Research and Development Program of China, Natural Science Foundation of Zhejiang Province

Awards: G1002462731, G1930164579, G3161763030, 去泛素化酶USP35 通过稳定BPRF1 调控甲羟戊酸代谢促进前列腺癌恶性进展的机制研究

OpenAlex ID: W4410635352

FWCI: 2.832

Cites: 56

Cited by: 11

Related to: 10