Publications

(#co-first author, *corresponding author)

Wang S, Zou S, He Y, Gao Q, Zhang Z*, & Bai H. “A Framework for IDH Genotyping of Gliomas Based on Bi-directional Mamba Sequences.” International Conference on Intelligent Computing (ICIC), 2025.
Zhang Z, Ma Q, Zhao Y, & Yang X. “Integrating Radiomics and Deep Learning for Enhanced Three-Dimensional Meningioma Grading.” International Conference on Intelligent Computing (ICIC), 2025.
Zhang F, Guo J, Ma Q, Zhang X, & Zhang Z*. “RDT-Net: A Novel Diffusion-Based Network for Intracranial Hemorrhage Segmentation.” International Conference on Intelligent Computing (ICIC), 2025.
Zhang Z, Xiong X, Zhang S, et al. “A pseudo-time stepping and parameterized physics-informed neural network framework for Navier–Stokes equations.” Physics of Fluids, 2025; 37 (3): 033612.
Zou S, Zhang Z#, & Guangwei Gao. “OCTAMamba: A State-Space Model Approach for Precision OCTA Vasculature Segmentation” 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025.
Zou S, Zhang Z#, Zou Y, & Guangwei Gao. “MambaMIC: An Efficient Baseline for Microscopic Image Classification with State Space Models” IEEE International Conference on Multimedia&Expo 2025 (ICME), 2025.
Zhang Z, Miao Y, Yang Y, et al. “Deep Learning and Radiomics-Based Approach to Meningioma Grading: Exploring Peritumoral Edema Regions.” Physics in Medicine & Biology, 2024.
Zhang Z, Zhang X, Yang Y, et al. “Accurate segmentation algorithm of acoustic neuroma in the cerebellopontine angle based on ACP-TransUNet.” Frontiers in Neuroscience, 2023, 17.
Zhang Z, Wu H, Zhao H, et al. “A Novel Deep Learning Model for Medical Image Segmentation with Convolutional Neural Network and Transformer.” Interdisciplinary Sciences: Computational Life Sciences, 2023, 15(4): 663-677.
Zhang Z, Wen Y, Zhang X, et al. “CI-UNet: Melding ConvNeXt and Cross-Dimensional Attention for Robust Medical Image Segmentation.” Biomedical Engineering Letters, 2024.
Jiang Y, Wang S, Yao M, Xiao Q, Li Y, Bai H*, & Zhang, Z*. “BCNet: integrating UNet and transformer for blood cell segmentation.” Signal, Image and Video Processing, 2025; 19(1), 14.
Wen Y#, Zhang Z#, et al. “TransC-GD-CD: Transformer based Conditional Generative Diffusion Change Detection Model.” Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024.
Wu H#, Zhang Z#, Zhang Y, et al. “ACX-UNet: Multi-scale Lung Parenchyma Segmentation Study with Improved Skip Connection and Cross-Feature Extraction.” Signal, Image and Video Processing, 2023.
Bai H, Zhang Z, Yang Y, et al. “Meningioma Segmentation with GV-UNet: A Hybrid Model Using Ghost Module and Vision Transformer.” Signal, Image and Video Processing, 2023.
Xia X, Cheng Y, Zhang Z, et al. “Advancing Research on Odor-Induced Sweetness Enhancement: An EEG Local-Global Fusion Transformer Network for Sweetness Quantification Combined with EEG Technology.” Food Chemistry, 2024: 141533.

Software Copyrights and Patents

Precision Meningioma Segmentation System Based on Deep Learning (Registration No. 2023SRO375399)
Brain Tumor Detection and Classification System Using Deep Learning (Registration No. 2022SR1338597)
Automated Acoustic Neuroma Segmentation System (Registration No. 2022SR1338600)
Multi-View Image Feature Fusion Method for Meningioma Grading (Patent Status: Under Substantive Examination, No. 2023103459329)