• [2025] One paper on Uncertainty-aware CT Metal Artifact Reduction published on arXiv
• [2025] One paper on SSA3D: Dental Abutment Design published on arXiv
• [2024] One paper on Reliable Deep Diffusion Tensor Estimation published on arXiv
• [2023] One book chapter on Metal Artifact Reduction published in Medical Image Synthesis book
• [2022] One paper on Control Volume Mapping published in Computers in Biology and Medicine
• [2022] One paper on Retinal Photoreceptor Quantification published in Frontiers in Neuroscience
• [2021] One paper on ComputeCOVID19+ accepted by ACM ICMIP
• [2021] One paper on Human-Computer Interaction published in Wireless Communications and Mobile Computing
• [2019] One paper on Matlab Toolbox for Feature Ranking accepted by ICMIPE
• [2019] One paper on Multi-material Identification in Photon Counting CT published in Medical Imaging
• [2018] One paper on Activation Functions for Image Sharpness Assessment published in SPIE
• [2026] One paper accepted by Applied Soft Computing (Brain Tumor Segmentation)
• [2025] 🔥 ELSEVIER & Stanford Top 2% Scientists in the World 2025
• [2025] 🔥 One paper accepted by Nature Communications (DL for colorectal lesion classification)
• [2025] One paper accepted by MICCAI 2025 (Medical Image Synthesis)
• [2025] One paper accepted by IJCAI 2025 (EEG generation)
• [2024] 🔥 One paper accepted by Medical Image Analysis (CBCT-to-CT Synthesis)
• [2024] One paper accepted by JITC (Pathomics-driven immunotherapy response)
• [2024] One paper accepted by JCI (Immune context assessment)
• [2024] One paper accepted by IEEE JBHI (Diffusion Tensor Imaging)
• [08/2023] Two papers accepted by ICASSP 2024.
[08/2023] One paper accepted by ACM MM 2023.
• [08/2023] One paper accepted by Nature Communications.
• [08/2023] Two papers accepted by MICCAI workshop (CMMCA2023).
• [07/2023] One paper accepted by ACM MM 2023.
• [03/2023] One paper accepted by ICLR 2023.
• [09/2022] Acting as Program Committee member On DLBIBM 2022.
• [09/2022] One paper accepted by TMI.
• [06/2022] 1st place on the 2022 VizWiz Grand Challenge (CVPR2022).
• [06/2022] One paper accepted by MICCAI.
• [04/2022] One paper accepted by The Lancet Digital Health.
• [08/2021] One paper about self-supervised CT super-resolution accepted by CBM.
• [07/2021] One paper about metal artifact reduction in CT accepted by PMB.
• [07/2021] One paper about Covid-19 accepted by ICPP2021.
• [07/2021] One paper about Low-dose CT accepted by Medical Physics.
• [07/2021] One paper about multi-organ segmentation accepted by Medical Image Analysis.
• [05/2021] One paper about Low-dose CT accepted by MICCAI.
• [04/2021] One paper about TOF-MRA accepted by Computers in Biology and Medicine.
• [03/2021] Grant about Dual-energy CT approved by Stanford.
• [02/2021] Grant about Low-count PET approved by Reflexion.
• [02/2021] One paper accepted by Medical Physics.
• [09/2020] One paper accepted by TMI.
• [08/2020] Grant approved by NSFC.
• [07/2020] "matFR: a matlab toolbox for feature ranking" accepted by Bioinformatics.
• [06/2020] Two abstracts accepted by AAPM 2020.
• [06/2019] One paper accepted by Medical Physics.
• [04/2018] One paper about sparse-view CT reconstruction accepted by TMI.
• [03/2019] One paper accepted by IEEE Access.
• [06/2017] One paper about ring artifact removal in cone-beam CT accepted by PMB.
• [10/2016] One paper about carbon nanotube based CT accepted by Physica Medica.

2026

• Y Zhang, J Wang, X Yang, X Zhang, A Abulizi, H Jiang, G Zhou, H Liao, ..., Z Zhang "Advancing brain tumor segmentation in smart healthcare via T1-generated virtual multimodal MRI fusion." Applied Soft Computing, 2026. [DOI]
• YZ Zhang, JH Huang, J Wang, Z Li, Z Wang, G Zhou, Z Zhang, G Yu "High-Fidelity Unified One-to-Many Medical Image Synthesis via Text-Conditioned Latent Diffusion." MICCAI 2026, 2026. [DOI]

2025

• J Wang, M Liu, H Liao, J Fan, H Zhu, T Ma, D Yang, F Ni, F Zhang, G Jin, ..., Z Zhang "Development of deep learning-based narrow-band imaging endocytoscopic classification for predicting colorectal lesions." Nature Communications, 2026. [DOI]
• Y Zhang, L Li, J Wang, X Yang, H Zhou, J He, Y Xie, Y Jiang, W Sun, ..., Z Zhang "Texture-preserving diffusion model for CBCT-to-CT synthesis." [GitHub] Medical Image Analysis, 2025. [DOI]
• L Li, J Liu, H Xiao, G Zhou, Q Liu, Z Zhang "Expert guidance and partially-labeled data collaboration for multi-organ segmentation." Neural Networks, 2025. [DOI]
• Y Chen, J Li, Q Lu, Y Wu, X Liu, Y Gao, Y Feng, Z Zhang, X Zhang "Spherical harmonics-based deep learning achieves generalized and accurate diffusion tensor imaging." IEEE Journal of Biomedical and Health Informatics, 2025. [DOI]
• E Zhang, Z Zhang, T Hanakawa "Category-aware EEG image generation based on wavelet transform and contrast semantic loss." IJCAI 2025, 2025. [DOI]
• Y Chen, Y Guo, X Liu, Z Zhou, H Wu, ..., Z Zhang, et al. "SSA3D: Text-Conditioned Assisted Self-Supervised Framework for Automatic Dental Abutment Design." Medical Image Analysis, 2025. [arXiv]

2024

• Z Han, Z Zhang, X Yang, Z Li, S Sang, MT Islam, AA Guo, Z Li, X Wang, ... "Development and interpretation of a pathomics-driven ensemble model for predicting the response to immunotherapy in gastric cancer." Journal for Immunotherapy of Cancer, 2024. [DOI]
• Z Sun, T Zhang, MU Ahmad, Z Zhou, L Qiu, K Zhou, W Xiong, J Xie, ..., Z Zhang, ... "Comprehensive assessment of immune context and immunotherapy response via noninvasive imaging in gastric cancer." The Journal of Clinical Investigation, 2024. [DOI]
• L Zhou, L Zhou, C Wu, Z Zhang "Multitask connected U-Net: automatic lung cancer segmentation from CT images using PET knowledge guidance." Frontiers in Artificial Intelligence, 2024. [DOI]
• S Xun, M Jiang, P Huang, Y Sun, D Li, Y Luo, H Zhang, Z Zhang, X Liu, ... "Chest CT-IQA: A multi-task model for chest CT image quality assessment and classification." Displays, 2024. [DOI]
• L Li, J He, Y Tang, Y Zhang, J Wang, G Zhou, Z Zhang "SRECT: Machine-Specific Spatial-Resolution Enhancement in Computed Tomography." ICASSP 2024, 2024. [DOI]
• E Zhang, W Chen, X Xu, Z Zhang, J Li "Breast ultrasound computer-aided diagnosis using structure-aware triplet path networks." ICASSP 2024, 2024. [DOI]
• J Li, Y Wang, X Chen, ..., Z Zhang, et al. "Unlocking the Potential of Early Epochs: Uncertainty-aware CT Metal Artifact Reduction." Medical Image Analysis, 2024. [arXiv]
• Z Zhang, et al. "Reliable Deep Diffusion Tensor Estimation: Rethinking the Power of Data-Driven Optimization Routine." arXiv, 2024. [arXiv]

2023

• Y Jiang, Z Zhang, et al. "Biology-guided deep learning predicts prognosis and cancer immunotherapy response." Nature Communications, 2023. [DOI]
• C Chen, J Wang, J Pan, C Bian, Z Zhang, et al. "GraphSKT: Graph-Guided Structured Knowledge Transfer for Domain Adaptive Lesion Detection." IEEE Transactions on Medical Imaging, 2023. [DOI]
• W Ji, J Li, C Bian, Z Zhang, L Cheng "SemanticRT: A Large-Scale Dataset and Method for Robust Semantic Segmentation in Multispectral Images." ACM MM 2023, 2023. [DOI]
• L Li, Y Tang, Y Zhang, Z Li, G Zhou, H Zhou, Z Zhang "Federated Multi-organ Dynamic Attention Segmentation Network with Small CT Dataset." CMMI-CAIP Workshop, 2023. [DOI]
• X Shi, Y Zhang, L Li, Y Tang, Z Li, Z Zhang "Label-Efficient Cross-Resolution Polyp Segmentation in Colonoscopy." CMMI-CAIP Workshop, 2023. [DOI]
• HY Zhou, Y Fu, Z Zhang, et al. "Protein Representation Learning via Knowledge Enhanced Primary Structure Reasoning." bioRxiv, 2023. [DOI]
• Z Zhang, et al. "Metal Artifact Reduction." Medical Image Synthesis: Methods and Clinical Applications, 2023. [DOI]

2022

• Y Jiang, Z Zhang, Q Yuan, W Wang, H Wang, T Li, W Huang, J Xie, ... "Predicting peritoneal recurrence and disease-free survival from CT images in gastric cancer using multi-task deep learning." The Lancet Digital Health, 2022. [DOI]
• Z Yang, J Pan, Y Yang, X Shi, HY Zhou, Z Zhang, C Bian "ProCo: Prototype-Aware Contrastive Learning for Long-Tailed Medical Image Classification." MICCAI 2022, 2022. [DOI]
• S Diao, Y Tian, W Hu, J Hou, R Lambo, Z Zhang, Y Xie, X Nie, F Zhang, ... "Weakly Supervised Framework for Cancer Region Detection of Hepatocellular Carcinoma in Whole-Slide Pathologic Images." The American Journal of Pathology, 2022. [DOI]
• Y Yan, X Wu, C Li, Y He, Z Zhang, et al. "Topological EEG Nonlinear Dynamics Analysis for Emotion Recognition." IEEE Transactions on Cognitive and Developmental Systems, 2022. [DOI]
• Z Zhang, et al. "Human-level comparable control volume mapping with a deep unsupervised-learning model for image-guided radiation therapy." Computers in Biology and Medicine, 2022. [DOI]
• Z Zhang, et al. "Automatic quantification of retinal photoreceptor integrity to predict persistent disease activity in neovascular age-related macular degeneration using deep learning." Frontiers in Neuroscience, 2022. [DOI]

2021

• Z Zhang, L Yu, X Liang, W Zhao, L Xing "TransCT: Dual-Path Transformer for Low Dose Computed Tomography." [GitHub] MICCAI 2021, 2021. [DOI]
• X Liang, N Li, Z Zhang, J Xiong, S Zhou, Y Xie "Incorporating the hybrid deformable model for improving the performance of abdominal CT segmentation." Medical Image Analysis, 2021. [DOI]
• Z Zhang, X Liang, W Zhao, L Xing "Self-supervised CT super-resolution with hybrid model." Computers in Biology and Medicine, 2021. [DOI]
• Z Zhang, X Liang, W Zhao, L Xing "Noise2Context: Context-assisted learning 3D thin-layer for low-dose CT." Medical Physics, 2021. [DOI]
• L Yu, Z Zhang, X Li, H Ren, W Zhao, L Xing "Metal artifact reduction in 2D CT images with self-supervised cross-domain learning." Physics in Medicine and Biology, 2021. [DOI]
• Z Zhang, L Yu, W Zhao, L Xing "Modularized data-driven reconstruction framework for nonideal focal spot effect elimination in computed tomography." Medical Physics, 2021. [DOI]
• Z Zhang, et al. "ComputeCOVID19+: Accelerating COVID-19 Diagnosis and Monitoring via High-Performance Deep Learning on CT Images." ACM ICMIP, 2021. [DOI]
• Z Zhang, et al. "Real-Time Precise Human-Computer Interaction System Based on Gaze Estimation and Tracking." Wireless Communications and Mobile Computing, 2021. [DOI]
• N Li, S Zhou, G Zhao, Z Zhang, Y Xie, X Liang "Iterative stripe artifact correction framework for TOF-MRA." Computers in Biology and Medicine, 2021. [DOI]
• W Zhao, L Shen, MT Islam, W Qin, Z Zhang, X Liang, G Zhang, S Xu, X Li "Artificial intelligence in image-guided radiotherapy: a review of treatment target localization." Quantitative Imaging in Medicine and Surgery, 2021. [DOI]

2020

• L Yu, Z Zhang, X Li, L Xing "Deep Sinogram Completion with Image Prior for Metal Artifact Reduction in CT Images." IEEE Transactions on Medical Imaging, 2020. [DOI]
• Z Zhang, X Liang, W Qin, S Yu, Y Xie "matFR: a matlab toolbox for feature ranking." [GitHub] Bioinformatics, 2020. [DOI]

2019

• X Liang, N Li, Z Zhang, S Yu, W Qin, Y Li, S Chen, H Zhang, Y Xie "Shading correction for volumetric CT using deep convolutional neural network and adaptive filter." Quantitative Imaging in Medicine and Surgery, 2019. [DOI]
• X Liang, Y Jiang, W Zhao, Z Zhang, C Luo, J Xiong, S Yu, X Yang, J Sun, Q Zhou, T Niu, Y Xie "Scatter correction for a clinical cone-beam CT system using an optimized stationary beam blocker in a single scan." Medical Physics, 2019. [DOI]
• X Liang, N Li, Z Zhang, S Yu, Y Li, S Chen, H Zhang, Y Xie "A Technical Review of Convolutional Neural Network-Based Mammographic Breast Cancer Diagnosis." Computational and Mathematical Methods in Medicine, 2019. [DOI]
• J Yang, Z Zhang, Y Zhu, Y Xie "An accurate estimation of T2* mapping for fast magnetic resonance imaging." ACM SIGGRAPH, 2019. [DOI]
• Z Zhang, et al. "A Matlab Toolbox for Feature Importance Ranking." ICMIPE, 2019. [DOI]
• Z Zhang, et al. "An improved physics model for multi-material identification in photon counting CT." Medical Imaging, 2019. [DOI]

2018

• Z Zhang, X Liang, X Dong, Y Xie, G Cao "A Sparse-View CT Reconstruction Method Based on Combination of DenseNet and Deconvolution." [GitHub] IEEE Transactions on Medical Imaging, 2018. (ESI Highly Cited, 528+ Citations) [DOI]
• Z Zhang, et al. "Comparison of activation functions in a shallow convolutional neural network for natural image sharpness assessment." SPIE, 2018. [DOI]
• Z Zhang, G Dai, X Liang, S Yu, L Li, Y Xie "Can Signal-to-Noise Ratio Perform as a Baseline Indicator for Medical Image Quality Assessment." IEEE Access, 2018. [DOI]

2017

• X Liang, Z Zhang, T Niu, S Yu, S Wu, Z Li, H Zhang, Y Xie "Iterative image-domain ring artifact removal in cone-beam CT." Physics in Medicine and Biology, 2017. [DOI]

2016

• Z Zhang, S Yu, X Liang, Y Zhu, Y Xie "A novel design of ultrafast micro-CT system based on carbon nanotube: A feasibility study in phantom." Physica Medica, 2016. [DOI]
• S Yu, S Wu, Z Zhang, et al. "Explicit vascular reconstruction based on adjacent vector projection." BioEngineered, 2016. [DOI]