Zaiyi Liu

Key Laboratory of Guangdong Province — China

Medicine · Health Sciences

53h-index12.9kcitations544works3.82yr avg
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Research Topics

Radiomics and Machine Learning in Medical Imaging(253), AI in cancer detection(105), Colorectal Cancer Treatments and Studies(101), MRI in cancer diagnosis(74), Gastric Cancer Management and Outcomes(66)

Publications544 total

Pathogenomic analysis reveals clinically relevant epithelial-mesenchymal plasticity in esophageal squamous cell carcinoma
Theranostics·2026Open Access
Detecting Collagen Fiber Architecture after Destabilization of the Medial Meniscus Surgery Using High‐Resolution Diffusion Tensor Imaging
Journal of Orthopaedic Research®·2025Open Access
STFL-Net: A spatial-temporal feature learning network for breast tumor segmentation in multi-sequence MRI
Digital Signal Processing·2025
Development and validation of a CT-based online calculator for prognosis and postoperative adjuvant transcatheter arterial chemoembolization benefit prediction in resected hepatocellular carcinoma: a multicenter retrospective cohort study
International Journal of Surgery·2025Open Access
Magnetic Resonance Imaging–Detected High-Risk Markers in Rectal Cancer Patients With a Pathologic Complete Response After Neoadjuvant Therapy
JCO Precision Oncology·2025
Multilevel Prognostic Markers of Baseline CCTA for Major Adverse Cardiovascular Events After Percutaneous Coronary Intervention
Academic Radiology·2025
High-resolution MRI Guided Whole Mouse Brain Cell Type Atlas using Deep Learning
2025Open Access
Gastric Neoplasm Detection at Contrast-enhanced CT with Deep Learning
Radiology Artificial Intelligence·2025
Hypergraph facilitated feature fusion of multi-prototype for BRAF mutation prediction of thyroid cancer using cytology slides
Information Fusion·2025
Federated deep multiple instance learning for histopathological whole-slide image classification
Biomedical Signal Processing and Control·2025
Automated segmentation of esophageal squamous cell carcinoma in contrast-enhanced free-breathing 3D-GRE: a comparative study of UNet, nnUNet, and UMamba for tumor delineation
BMC Medical Imaging·2025Open Access
MsM-DPM: Multiscale Mamba Diffusion Probabilistic Model for Medical Image Segmentation
IEEE Transactions on Cybernetics·2025
Multiparametric MRI-based Habitat Analysis Integrating Deep Learning and Radiomics for Predicting Preoperative Ki-67 Expression Level in Breast Cancer
2025Open Access
Automated 3D-Volumetric Index of Skeletal Muscle Predicts Survival in Severe Aplastic Anemia Patients after Hematopoietic Stem Cell Transplantation
2025Open Access
Radiomics-Based Adipose Profiling Predicts Kidney Outcomes in Lupus Nephritis
Journal of the American Society of Nephrology·2025
Sparsely Annotated Medical Image Segmentation via Cross-SAM of 3D and 2D Networks
Lecture notes in computer science·2025
Deep Learning Synthesized Hepatobiliary Phase Images for Optimizing Clinical Workflow of Gd-EOB-DTPA-enhanced Liver MRI: A Multicenter Study
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition·2025
Detecting white adipose tissue browning in mice with in vivo R2* mapping at 9.4T MRI
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition·2025
Diffusion Tensor Imaging in Diseased Human Meniscus
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition·2025
Architectural Disruption Signature: Region-specific MRI Biomarkers in Cuprizone-induced Demyelination for Alzheimer’s Disease
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition·2025
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Frequent Co-authors

Changhong Liang(23), Yanqi Huang(15), Jie Tian(10), Zelan Ma(8), Xiaomei Huang(8), Lan He(7), Cuishan Liang(7), Di Dong(7), Chu Han(6), Zeyan Xu(5), Ke Zhao(5), Zhenhui Li(5), Su Yao(5), Zixuan Cheng(5), Xin Chen(4), Zhenyu Liu(4), Mengjie Fang(4), Zhenwei Shi(4), Bingchao Zhao(4), Shanshan Wang(4)