Zekang Yang

According to our database, Zekang Yang authored at least 9 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

AIROGS: Artificial Intelligence for Robust Glaucoma Screening Challenge.

Coen de Vente, Koenraad A. Vermeer, Nicolas Jaccard, He Wang, Hongyi Sun, Firas Khader, Daniel Truhn, Temirgali Aimyshev, Yerkebulan Zhanibekuly, Tien-Dung Le, Adrian Galdran, Miguel Ángel González Ballester, Gustavo Carneiro, Devika R. G, Hrishikesh Panikkasseril Sethumadhavan, Densen Puthussery, Hong Liu, Zekang Yang, Satoshi Kondo, Satoshi Kasai, Edward Wang, Ashritha Durvasula, Jónathan Heras, Miguel Ángel Zapata, Teresa Araújo, Guilherme Aresta, Hrvoje Bogunovic, Mustafa Arikan, Yeong Chan Lee, Hyun Bin Cho, Yoon Ho Choi, Abdul Qayyum, Imran Razzak, Bram van Ginneken, Hans G. Lemij, Clara I. Sánchez

IEEE Trans. Medical Imaging, January, 2024

NADER: Neural Architecture Design via Multi-Agent Collaboration.

Zekang Yang, Wang Zeng, Sheng Jin, Chen Qian, Ping Luo, Wentao Liu

CoRR, 2024

A Multimodal Object-level Contrast Learning Method for Cancer Survival Risk Prediction.

Zekang Yang, Hong Liu, Xiangdong Wang

CoRR, 2024

SCMIL: Sparse Context-aware Multiple Instance Learning for Predicting Cancer Survival Probability Distribution in Whole Slide Images.

Zekang Yang, Hong Liu, Xiangdong Wang

CoRR, 2024

AutoMMLab: Automatically Generating Deployable Models from Language Instructions for Computer Vision Tasks.

Zekang Yang, Wang Zeng, Sheng Jin, Chen Qian, Ping Luo, Wentao Liu

CoRR, 2024

SCMIL: Sparse Context-Aware Multiple Instance Learning for Predicting Cancer Survival Probability Distribution in Whole Slide Images.

Zekang Yang, Hong Liu, Xiangdong Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

A Multimodal Adaptive Cooperative Learning Framework for Cancer Survival Risk Prediction.

Zekang Yang, Hong Liu, Xiangdong Wang

Proceedings of the 1st International Workshop on Multimedia Computing for Health and Medicine, 2024

2023

AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge.

Coen de Vente, Koenraad A. Vermeer, Nicolas Jaccard, He Wang, Hongyi Sun, Firas Khader, Daniel Truhn, Temirgali Aimyshev, Yerkebulan Zhanibekuly, Tien-Dung Le, Adrian Galdran, Miguel Ángel González Ballester, Gustavo Carneiro, Devika R. G, Hrishikesh P. S, Densen Puthussery, Hong Liu, Zekang Yang, Satoshi Kondo, Satoshi Kasai, Edward Wang, Ashritha Durvasula, Jónathan Heras, Miguel Ángel Zapata, Teresa Araújo, Guilherme Aresta, Hrvoje Bogunovic, Mustafa Arikan, Yeong Chan Lee, Hyun Bin Cho, Yoon Ho Choi, Abdul Qayyum, Imran Razzak, Bram van Ginneken, Hans G. Lemij, Clara I. Sánchez

CoRR, 2023

2022

Self-supervised Learning Based on a Pre-trained Method for the Subtype Classification of Spinal Tumors.

Menglei Jiao, Hong Liu, Zekang Yang, Shuai Tian, Hanqiang Ouyang, Yuan Li, Yuan Yuan, Jianfang Liu, Chunjie Wang, Ning Lang, Liang Jiang, Huishu Yuan, Yueliang Qian, Xiangdong Wang

Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2022