Zheyao Gao

According to our database, Zheyao Gao authored at least 10 papers between 2021 and 2025.

Collaborative distances:

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

2025

Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification.

Yibo Gao, Hangqi Zhou, Zheyao Gao, Bomin Wang, Shangqi Gao, Sihan Wang, Xiahai Zhuang

CoRR, May, 2025

MERIT: Multi-view evidential learning for reliable and interpretable liver fibrosis staging.

Yuanye Liu, Zheyao Gao, Nannan Shi, Fuping Wu, Yuxin Shi, Qingchao Chen, Xiahai Zhuang

Medical Image Anal., 2025

DDxTutor: Clinical Reasoning Tutoring System with Differential Diagnosis-Based Structured Reasoning.

Qian Wu, Zheyao Gao, Longfei Gou, Qi Dou

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Evidential Concept Embedding Models: Towards Reliable Concept Explanations for Skin Disease Diagnosis.

Yibo Gao, Zheyao Gao, Xin Gao, Yuanye Liu, Bomin Wang, Xiahai Zhuang

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

2023

Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge.

Carlos Martín-Isla, Víctor M. Campello, Cristian Izquierdo, Kaisar Kushibar, Carla Sendra-Balcells, Polyxeni Gkontra, Alireza Sojoudi, Mitchell J. Fulton, Tewodros Weldebirhan Arega, Kumaradevan Punithakumar, Lei Li, Xiaowu Sun, Yasmina Al Khalil, Di Liu, Sana Jabbar, Sandro F. Queiros, Francesco Galati, Moona Mazher, Zheyao Gao, Marcel Beetz, Lennart Tautz, Christoforos Galazis, Marta Varela, Markus Hüllebrand, Vicente Grau, Xiahai Zhuang, Domenec Puig, Maria A. Zuluaga, Hassan Mohy-ud-Din, Dimitris N. Metaxas, Marcel Breeuwer, Rob J. van der Geest, Michelle Noga, Stéphanie Bricq, Mark E. Rentschler, Andrea Guala, Steffen E. Petersen, Sergio Escalera, José F. Rodríguez Palomares, Karim Lekadir

IEEE J. Biomed. Health Informatics, July, 2023

A New Framework of Swarm Learning Consolidating Knowledge From Multi-Center Non-IID Data for Medical Image Segmentation.

Zheyao Gao, Fuping Wu, Weiguo Gao, Xiahai Zhuang

IEEE Trans. Medical Imaging, 2023

A Reliable and Interpretable Framework of Multi-view Learning for Liver Fibrosis Staging.

Zheyao Gao, Yuanye Liu, Fuping Wu, Nannan Shi, Yuxin Shi, Xiahai Zhuang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Unsupervised Cardiac Segmentation Utilizing Synthesized Images from Anatomical Labels.

Sihan Wang, Fuping Wu, Lei Li, Zheyao Gao, Byung-Woo Hong, Xiahai Zhuang

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

Decoupling Predictions in Distributed Learning for Multi-center Left Atrial MRI Segmentation.

Zheyao Gao, Lei Li, Fuping Wu, Sihan Wang, Xiahai Zhuang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Consistency Based Co-segmentation for Multi-view Cardiac MRI Using Vision Transformer.

Zheyao Gao, Xiahai Zhuang

Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021