Gang Fang

According to our database, Gang Fang authored at least 17 papers between 2019 and 2026.

Collaborative distances:

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

2026

InceptionMamba: A Lightweight and Effective Model for Medical Image Classification Revealing Mamba's Low-Frequency Bias.

Bingquan Huang, Yue Liu, Bin Tang, Gang Fang

Neural Process. Lett., February, 2026

2025

Annotation-free method for breast tumour segmentation in dynamic contrast-enhanced MRI.

Jiahui He, Junjie Zhang, Xu Huang, Yue Liu, Jiayi Liao, Yanfen Cui, Wenbin Liu, Changhong Liang, Zaiyi Liu, Lei Wu, Gang Fang

Biomed. Signal Process. Control., 2025

2024

Rethinking Self-Supervised Semantic Segmentation: Achieving End-to-End Segmentation.

Yue Liu, Jun Zeng, Xingzhen Tao, Gang Fang

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Contrastive visual clustering for improving instance-level contrastive learning as a plugin.

Yue Liu, Xiangzhen Zan, Xianbin Li, Wenbin Liu, Gang Fang

Pattern Recognit., 2024

ALIEN: Attention-guided cross-resolution collaborative network for 3D gastric cancer segmentation in CT images.

Zhihong Chen, Lisha Yao, Yanfen Cui, Yunlin Zheng, Suyun Li, Xiaorui Han, Xuewei Kang, Wenbin Liu, Xin Chen, Chu Han, Zaiyi Liu, Bingjiang Qiu, Gang Fang

Biomed. Signal Process. Control., 2024

Locate, Crop and Segment: Efficient Abdominal CT Image Segmentation on CPU.

Yinyin Luo, Yue Liu, Wenbin Liu, Jingheng Dai, Xunliang Xiao, Gang Fang

Proceedings of the Fast, Low-Resource, Accurate Robust Organ and Pan-cancer Segmentation, 2024

Crop and Segment: Efficient Whole Body Pan-Cancer Segmentation.

Yinyin Luo, Yue Liu, Wenbin Liu, Jingheng Dai, Xunliang Xiao, Gang Fang

Proceedings of the Fast, Low-Resource, Accurate Robust Organ and Pan-cancer Segmentation, 2024

Joint Unsupervised Domain Adaptation and Semi-supervised Learning for Multi-sequence MR Abdominal Organ Segmentation.

Jiahui He, Lei Wu, Wenbin Liu, Zaiyi Liu, Gang Fang

Proceedings of the Fast, Low-Resource, Accurate Robust Organ and Pan-cancer Segmentation, 2024

2023

Multi-Attribute Group Decision Making Based on Spherical Fuzzy Zagreb Energy.

Gang Fang, Uzma Ahmad, Sobia Ikhlaq, Leila Asgharsharghi

Symmetry, August, 2023

AdaptNet: Adaptive Learning from Partially Labeled Data for Abdomen Multi-organ and Tumor Segmentation.

JiChao Luo, Zhihong Chen, Wenbin Liu, Zaiyi Liu, Bingjiang Qiu, Gang Fang

Proceedings of the Fast, Low-resource, and Accurate Organ and Pan-cancer Segmentation in Abdomen CT, 2023

2022

Detect the early-warning signals of diseases based on signaling pathway perturbations on a single sample.

Yanhao Huo, Geng Zhao, Luoshan Ruan, Peng Xu, Gang Fang, Fengyue Zhang, Zhenshen Bao, Xin Li

BMC Bioinform., 2022

2020

A machine learning approach to select features important to stroke prognosis.

Gang Fang, Wenbin Liu, Lixin Wang

Comput. Biol. Chem., 2020

A systematic study of critical miRNAs on cells proliferation and apoptosis by the shortest path.

Peng Xu, Qian Wu, Deyang Lu, Jian Yu, Yongsheng Rao, Zheng Kou, Gang Fang, Wenbin Liu, Henry Han

BMC Bioinform., 2020

Classification of Cancers Based on a Comprehensive Pathway Activity Inferred by Genes and Their Interactions.

Peng Xu, Geng Zhao, Zheng Kou, Gang Fang, Wenbin Liu

IEEE Access, 2020

Predicting the Influence of MicroRNAs on Drug Therapeutic Effects by Random Walking.

Peng Xu, Qian Wu, Yongsheng Rao, Zheng Kou, Gang Fang, Wenbin Liu, Henry Han

IEEE Access, 2020

Automated Ischemic Stroke Subtyping Based on Machine Learning Approach.

Gang Fang, Peng Xu, Wenbin Liu

IEEE Access, 2020

2019

Efficient Gaussian sample specific network marker discovery and drug enrichment analysis validation.

Wenbin Liu, Yugai Du, Gang Fang, Zheng Kou, Xianghong Wang, Henry Han

Comput. Biol. Chem., 2019