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Ze-Zhong Ye · SciRah

Researcher profile · Semantic Scholar

Ze-Zhong Ye

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Ze-Zhong Ye — researcher profile on SciRah

h-index: 16
Works: 62
Citations: 729

Most-cited papers

A generalizable foundation model for analysis of human brain MRI
D. Tak, Biniam A Garomsa, A. Zapaishchykova, T. Chaunzwa +21 more
2026Nature Neuroscience66 citations Open access
Semantic Scholar
Clinical validation of deep learning algorithms for radiotherapy targeting of non-small-cell lung cancer: an observational study
A. Hosny, D. Bitterman, C. Guthier, J. Qian +12 more
2022The Lancet Digital Health62 citations Open access
Semantic Scholar
Screening for extranodal extension in HPV-associated oropharyngeal carcinoma: evaluation of a CT-based deep learning algorithm in patient data from a multicentre, randomised de-escalation trial
B. Kann, J. Likitlersuang, D. Bontempi, Ze-Zhong Ye +17 more
2023The Lancet Digital Health60 citations Open access
Semantic Scholar
Deep learning with diffusion basis spectrum imaging for classification of multiple sclerosis lesions
Ze-Zhong Ye, Ajit George, Anthony T. Wu, Xuan Niu +6 more
2020Annals of Clinical and Translational Neurology53 citations Open access
Semantic Scholar
Development and Validation of an Automated Image-Based Deep Learning Platform for Sarcopenia Assessment in Head and Neck Cancer
Ze-Zhong Ye, A. Saraf, Y. Ravipati, F. Hoebers +19 more
2023JAMA Network Open45 citations Open access
Semantic Scholar
Diffusion basis spectrum imaging provides insights into MS pathology
P. Sun, Ajit George, Dana C. Perantie, K. Trinkaus +4 more
2019Neurology: Neuroimmunology & Neuroinflammation39 citations Open access
Semantic Scholar
Multi-institutional Prognostic Modeling in Head and Neck Cancer: Evaluating Impact and Generalizability of Deep Learning and Radiomics
M. Kazmierski, M. Welch, Sejin Kim, C. McIntosh +15 more
2023Cancer Research Communications37 citations Open access
Semantic Scholar
Diffusion Histology Imaging Combining Diffusion Basis Spectrum Imaging (DBSI) and Machine Learning Improves Detection and Classification of Glioblastoma Pathology
Ze-Zhong Ye, R. Price, Xi-Ran Liu, Joshua Lin +15 more
2020Clinical Cancer Research36 citations Open access
Semantic Scholar
Noninvasive molecular subtyping of pediatric low-grade glioma with self-supervised transfer learning
D. Tak, Ze-Zhong Ye, A. Zapaishchykova, Y. Zha +17 more
2023medRxiv35 citations Open access
Semantic Scholar
A foundation model for generalized brain MRI analysis
D. Tak, Biniam A Garomsa, T. Chaunzwa, A. Zapaishchykova +17 more
2024medRxiv32 citations Open access
Semantic Scholar
Multimodal deep learning improves recurrence risk prediction in pediatric low-grade gliomas
Maryam Mahootiha, D. Tak, Ze-Zhong Ye, A. Zapaishchykova +19 more
2024Neuro-Oncology28 citations Open access
Semantic Scholar
The impact of edema and fiber crossing on diffusion MRI metrics assessed in an ex vivo nerve phantom: multi-tensor model vs. diffusion orientation distribution function
Ze-Zhong Ye, Sam E. Gary, P. Sun, S. Mustafi +11 more
2020NMR in Biomedicine24 citations Open access
Semantic Scholar
Diffusion Basis Spectrum and Diffusion Tensor Imaging Detect Hippocampal Inflammation and Dendritic Injury in a Virus-Induced Mouse Model of Epilepsy
Jie Zhan, Tsen-Hsuan Lin, J. Libbey, P. Sun +6 more
2018Frontiers in Neuroscience24 citations Open access
Semantic Scholar
Deep Learning-based Detection of Intravenous Contrast Enhancement on CT Scans.
Ze-Zhong Ye, J. Qian, A. Hosny, R. Zeleznik +6 more
2022Radiology: Artificial Intelligence22 citations Open access
Semantic Scholar
Stepwise Transfer Learning for Expert-Level Pediatric Brain Tumor MRI Segmentation in a Limited Data Scenario.
Aidan Boyd, Ze-Zhong Ye, S. Prabhu, M. Tjong +14 more
2024Radiology: Artificial Intelligence20 citations Open access
Semantic Scholar
Automated temporalis muscle quantification and growth charts for children through adulthood
A. Zapaishchykova, Kevin X. Liu, A. Saraf, Ze-Zhong Ye +19 more
2023Nature Communications19 citations Open access
Semantic Scholar
Diffusion histology imaging differentiates distinct pediatric brain tumor histology
Ze-Zhong Ye, Komal Srinivasa, A. Meyer, P. Sun +7 more
2020Scientific Reports14 citations Open access
Semantic Scholar
Expert-level pediatric brain tumor segmentation in a limited data scenario with stepwise transfer learning
Aidan Boyd, Ze-Zhong Ye, S. Prabhu, M. Tjong +13 more
2023medRxiv12 citations Open access
Semantic Scholar
Deep-learning segmentation to select liver parenchyma for categorizing hepatic steatosis on multinational chest CT
Zhongyi Zhang, Guixia Li, Zi-Qiang Wang, Feng Xia +6 more
2024Scientific Reports10 citations Open access
Semantic Scholar
Diffusion basis spectrum imaging detects pathological alterations in substantia nigra and white matter tracts with early-stage Parkinson’s disease
Zexuan Hu, P. Sun, Ajit George, Xian-Jun Zeng +7 more
2023European Radiology9 citations
Semantic Scholar
Head and Neck Primary Tumor and Lymph Node Auto-segmentation for PET/CT Scans
A. Jain, Julia Huang, Y. Ravipati, Gregory Cain +3 more
2022HECKTOR@MICCAI9 citations
Semantic Scholar
Diffusion deep learning for brain age prediction and longitudinal tracking in children through adulthood
A. Zapaishchykova, D. Tak, Ze-Zhong Ye, Kevin X. Liu +11 more
2023Imaging Neuroscience8 citations Open access
Semantic Scholar
Delta radiomics to track radiation response in lung tumors receiving stereotactic magnetic resonance-guided radiotherapy
Y. Zha, Ze-Zhong Ye, A. Zapaishchykova, John He +7 more
2024Physics and Imaging in Radiation Oncology7 citations Open access
Semantic Scholar
Diffusion basis spectrum imaging as an adjunct to conventional MRI leads to earlier diagnosis of high-grade glioma tumor progression versus treatment effect
Rowland H. Han, T. Johanns, Kaleigh F. Roberts, Y. Tao +7 more
2023Neuro-Oncology Advances7 citations Open access
Semantic Scholar
Diffusion basis spectrum imaging measures anti-inflammatory and neuroprotective effects of fingolimod on murine optic neuritis
Rui-Meng Yang, Tsen-Hsuan Lin, Jie Zhan, Shengsheng Lai +7 more
2021NeuroImage: Clinical6 citations Open access
Semantic Scholar
Revolutionizing Postoperative Free Flap Monitoring-The Promise of AI to Improve Health Outcomes.
Ze-Zhong Ye, Dan Sun, Sam E. Gary
2024JAMA Network Open5 citations Open access
Semantic Scholar
SegmentationReview: A Slicer3D extension for fast review of AI-generated segmentations
A. Zapaishchykova, D. Tak, Aidan Boyd, Ze-Zhong Ye +2 more
2023Softw. Impacts5 citations Open access
Semantic Scholar
Longitudinal Risk Prediction for Pediatric Glioma with Temporal Deep Learning
D. Tak, Biniam A Garomsa, A. Zapaishchykova, Ze-Zhong Ye +15 more
2025NEJM AI4 citations Open access
Semantic Scholar
Automated lymph node and extranodal extension assessment improves risk stratification in oropharyngeal carcinoma
Ze-Zhong Ye, R. Mojahed-Yazdi, A. Zapaishchykova, D. Tak +17 more
2025Journal of Clinical Oncology4 citations Open access
Semantic Scholar
Artificial Intelligence Measured Tumor Burden and Pre-treatment Circulating Tumor DNA in Human Papilloma Virus-Associated Oropharynx Cancer
M. Bakhtiar, Ze-Zhong Ye, J. Schoenfeld, H. Mohammadi +4 more
2025Head and Neck4 citations Open access
Semantic Scholar
LGG-05. IMAGING-BASED DEEP LEARNING FOR EVENT-FREE SURVIVAL PREDICTION IN PATIENTS WITH PEDIATRIC LOW-GRADE GLIOMA
A. Zapaishchykova, Hasaan Hayat, Ze-Zhong Ye, S. Vajapeyam +12 more
2023Neuro-Oncology3 citations Open access
Semantic Scholar
Editorial for “A Deep Learning Approach to Diagnostic Classification of Prostate Cancer Using Pathology‐Radiology Fusion”
Ze-Zhong Ye
2021Journal of Magnetic Resonance Imaging3 citations
Semantic Scholar
Editorial for “Histogram Analysis Comparison of Monoexponential, Advanced Diffusion‐ Weighted Imaging, and Dynamic Contrast‐Enhanced MRI for Differentiating Borderline From Malignant Epithelial Ovarian Tumors”
Ze-Zhong Ye
2020Journal of Magnetic Resonance Imaging3 citations
Semantic Scholar
Diffusion Basis Spectrum Imaging with Deep Neural Network Differentiates Distinct Histology in Pediatric Brain Tumors
Ze-Zhong Ye, Komal Srinivasa, Joshua Lin, Jeffrey D. Viox +6 more
2020bioRxiv3 citations Open access
Semantic Scholar
The Impact of Edema and Fiber Crossing on Diffusion MRI Metrics: DBSI vs. Diffusion ODF
Ze-Zhong Ye, Sam E. Gary, P. Sun, S. Mustafi +9 more
2019bioRxiv3 citations Open access
Semantic Scholar
Artificial intelligence analysis of temporalis muscle thickness for monitoring sarcopenia and clinical outcomes in individuals with paediatric brain tumours: a retrospective cohort study.
A. Zapaishchykova, John Zielke, D. Tak, J. C. Climent Pardo +20 more
2026The Lancet Digital Health2 citations Open access
Semantic Scholar
SynthBrainGrow: Synthetic Diffusion Brain Aging for Longitudinal MRI Data Generation in Young People
A. Zapaishchykova, B. Kann, D. Tak, Ze-Zhong Ye +2 more
2024DGM4MICCAI@MICCAI2 citations
Semantic Scholar
Deep learning-based detection of intravenous contrast in computed tomography scans
Ze-Zhong Ye, J. Qian, A. Hosny, R. Zeleznik +6 more
2021arXiv.org2 citations
Semantic Scholar
Diffusion Histology Imaging to Improve Lesion Detection and Classification in Multiple Sclerosis
Ze-Zhong Ye, Ajit George, Anthony T. Wu, Xuan Niu +5 more
20192 citations Open access
Semantic Scholar
Deep learning volumetrics reveal distinct clinical trajectories for pediatric low-grade gliomas under surveillance: A multicenter study
J. C. Climent Pardo, A. Zapaishchykova, Aidan Boyd, D. Tak +17 more
2025Neuro-Oncology Advances1 citations Open access
Semantic Scholar
LGG-15. DEEP LEARNING ENABLES LONGITUDINAL RISK PREDICTION FOR PEDIATRIC LOW-GRADE GLIOMAS AFTER SURGERY
D. Tak, Biniam A Garomsa, A. Zapaishchykova, Ze-Zhong Ye +12 more
2024Neuro-Oncology1 citations Open access
Semantic Scholar
Deciphering pediatric low-grade glioma trajectories: Deep learning–based volumetrics for patients under surveillance.
J. C. Climent Pardo, A. Zapaishchykova, Aidan Boyd, D. Tak +10 more
2024Journal of Clinical Oncology1 citations Open access
Semantic Scholar
Fully Automated Deep Learning-enabled Detection for Hepatic Steatosis on Computed Tomography: A Multicenter International Validation Study
Zhongyi Zhang, Guixia Li, Zi-Qiang Wang, Feng Xia +6 more
20221 citations
Semantic Scholar
Deep neural network analysis employing diffusion basis spectrum imaging metrics as classifiers improves prostate cancer detection and grading
Ze-Zhong Ye, Qing-Song Yang, Joshua Lin, P. Sun +18 more
2021bioRxiv1 citations Open access
Semantic Scholar
Diffusion Histology Imaging Detects and Classifies Glioblastoma Pathology Missed by Conventional Magnetic Resonance Imaging
Ze-Zhong Ye, R. Price, Xi-Ran Liu, Joshua Lin +15 more
2019bioRxiv1 citations Open access
Semantic Scholar
Improved Deep Learning Segmentation of Pediatric Diffuse Midline Gliomas After Treatment.
John Zielke, F. Mussa, A. Zapaishchykova, D. Tak +17 more
2026AJNR. American journal of neuroradiology0 citations Open access
Semantic Scholar
3181 Automated imaging-based tumor burden predicts pre-treatment circulating tumor DNA in HPV-associated oropharynx cancers
M. Bakhtiar, Ze-Zhong Ye, J. Schoenfeld, H. Mohammadi +3 more
2025Radiotherapy and Oncology0 citations
Semantic Scholar
Editorial for “Reliability of 4D Flow MRI‐Derived Pulmonary Regurgitant Fraction in Repaired Tetralogy of Fallot: Impact of Measurement Location and Pulmonary Artery Geometry”
Chenxi Shi, Ze-Zhong Ye
2025Journal of Magnetic Resonance Imaging0 citations
Semantic Scholar
TissUnet: Improved extracranial tissue and cranium segmentation for children through adulthood
Markiian Mandzak, E. Yang, A. Zapaishchykova, Yu-Hui Chen +16 more
2025Imaging neuroscience0 citations Open access
Semantic Scholar
LGG-41. DECIPHERING PEDIATRIC LOW-GRADE GLIOMA TRAJECTORIES: DEEP LEARNING-BASED VOLUMETRICS FOR PATIENTS UNDER SURVEILLANCE
J. Pardo, A. Zapaishchykova, Aidan Boyd, D. Tak +10 more
2024Neuro-Oncology0 citations Open access
Semantic Scholar

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