<td><img src="./zhuozhang.jpg" border="0" width="180"></td>
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College of Computer Science |
I am currently a Ph.D. student at the College of Computer, the National University of Defense Technology, supervised by Prof. Canqun Yang (Deputy Chief Designer of the Tianhe-2 project). I earned my M.S. degree in Information and Communication Engineering from Tianjin Polytechnic University in December 2023, under the supervision of Prof. Yong Yang (Top 2% Scientist Worldwide) and Prof. Hua Bai.
My research interest includes AI4S and medical image processing.
I am also a joint doctoral student and R&D engineer at the National Supercomputing Center of Tianjin. Our team was honored with the title of National Outstanding Engineering Team on January 19, 2024.
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Intelligent Meningioma Grading Technology Based on Deep Learning
Principal Investigator, Tianjin Graduate Student Research and Innovation Project (2022 - Present)
Project ID: 2022SKY126
Led the project to integrate radiomics and deep learning for grading meningiomas. Developed lightweight segmentation models and explored multi-modality fusion techniques to address clinical challenges.
- 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.
- 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.
- Zhang Z, Ying Miao, Yang Y, et al. "Deep Learning and Radiomics-Based Approach to Meningioma Grading: Exploring Peritumoral Edema Regions." Physics in Medicine & Biology, 2024.
- 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)
- CHINA National Scholarship, Tianjin Innovation Scholarship, First-Class Academic Scholarship
- First Prize, National Industry Integration New Engineering Innovation Competition (Ranked 1st Nationally)
- First Prize, "Challenge Cup" China College Student Entrepreneurship Competition in Tianjin
- Second Prize, 14th China Service Outsourcing Innovation and Entrepreneurship Competition
- Second Prize, "3S Cup" National IoT Technology and Application Competition
- Third Prize, National Undergraduate Mathematics Competition