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Neuro-Oncology Advances|May 22, 2023
Diffusion basis spectrum imaging as an adjunct to conventional MRI leads to earlier diagnosis of high-grade glioma tumor progression versus treatment effectRowland H Han, Tanner M Johanns, Kaleigh F Roberts, et al.
Physics and Imaging in Radiation Oncology|September 10, 2024
Delta radiomics to track radiation response in lung tumors receiving stereotactic magnetic resonance-guided radiotherapyYining Zha, Zezhong Ye, Anna Zapaishchykova, et al.
Medrxiv : the Preprint Server for Health Sciences|July 10, 2023
Expert-level pediatric brain tumor segmentation in a limited data scenario with stepwise transfer learningAidan Boyd, Zezhong Ye, Sanjay Prabhu, et al.
NMR in Biomedicine|October 5, 2020
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 functionZezhong Ye, Sam E Gary, Peng Sun, et al.
The Lancet. Digital Health|August 26, 2022
Clinical validation of deep learning algorithms for radiotherapy targeting of non-small-cell lung cancer: an observational studyAhmed Hosny, Danielle S Bitterman, Christian V Guthier, et al.
Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
Diffusion deep learning for brain age prediction and longitudinal tracking in children through adulthoodAnna Zapaishchykova, Divyanshu Tak, Zezhong Ye, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|July 23, 2020
Diffusion Histology Imaging Combining Diffusion Basis Spectrum Imaging (DBSI) and Machine Learning Improves Detection and Classification of Glioblastoma PathologyZezhong Ye, Richard L Price, Xiran Liu, et al.
Medrxiv : the Preprint Server for Health Sciences|July 9, 2024
Longitudinal risk prediction for pediatric glioma with temporal deep learningDivyanshu Tak, Biniam A Garomsa, Anna Zapaishchykova, et al.
Cancer Research Communications|July 3, 2023
Multi-institutional Prognostic Modeling in Head and Neck Cancer: Evaluating Impact and Generalizability of Deep Learning and RadiomicsMichal Kazmierski, Mattea Welch, Sejin Kim, et al.
Radiology. Artificial Intelligence|July 10, 2024
Stepwise Transfer Learning for Expert-level Pediatric Brain Tumor MRI Segmentation in a Limited Data ScenarioAidan Boyd, Zezhong Ye, Sanjay P Prabhu, et al.
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