Zezhong Ye

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 24

Top Topics

Convolutional Neural Network

Diffusion Weighted

Top Venues

Radiology. Artificial intelligence

medRxiv : the preprint server for health sciences

Journal of magnetic resonance imaging : JMRI

European radiology

This page only lists publications with an associated author ORCID identifier.

Publications

Divyanshu Tak, Biniam A Garomsa, Anna Zapaishchykova, Zezhong Ye, Sri Vajapeyam, Maryam Mahootiha, Juan Carlos Climent Pardo, Ceilidh Smith, Ariana M Familiar, Tafadzwa Chaunzwa, Kevin X Liu, Sanjay P Prabhu, Pratiti Bandopadhayay, Ali Nabavizadeh, Sabine Mueller, Hugo Jwl Aerts, Daphne Haas-Kogan, Tina Y Poussaint, Benjamin H Kann
Longitudinal risk prediction for pediatric glioma with temporal deep learning. medRxiv : the preprint server for health sciences (2024)
Divyanshu Tak, Zezhong Ye, Anna Zapaishchykova, Yining Zha, Aidan Boyd, Sridhar Vajapeyam, Rishi Chopra, Hasaan Hayat, Sanjay P Prabhu, Kevin X Liu, Hesham Elhalawani, Ali Nabavizadeh, Ariana M Familiar, Adam Resnick, Sabine Mueller, Hugo J W L Aerts, Pratiti Bandopadhayay, Keith L Ligon, Daphne A Haas-Kogan, T Young Poussaint, Benjamin H Kann
Noninvasive Molecular Subtyping of Pediatric Low-Grade Glioma with Self-Supervised Transfer Learning. Radiology. Artificial intelligence (2024)
Divyanshu Tak, Zezhong Ye, Anna Zapaishchykova, Yining Zha, Aidan Boyd, Sridhar Vajapeyam, Rishi Chopra, Hasaan Hayat, Sanjay P Prabhu, Kevin X Liu, Hesham Elhalawani, Ali Nabavizadeh, Ariana M Familiar, Adam Resnick, Sabine Mueller, Hugo J W L Aerts, Pratiti Bandopadhayay, Keith L Ligon, Daphne A Haas-Kogan, T Young Poussaint, Benjamin H Kann
Noninvasive Molecular Subtyping of Pediatric Low-Grade Glioma with Self-Supervised Transfer Learning. Radiology. Artificial intelligence (2024)
Aidan Boyd, Zezhong Ye, Sanjay P Prabhu, Michael C Tjong, Yining Zha, Anna Zapaishchykova, Sridhar Vajapeyam, Paul J Catalano, Hasaan Hayat, Rishi Chopra, Kevin X Liu, Ali Nabavizadeh, Adam C Resnick, Sabine Mueller, Daphne A Haas-Kogan, Hugo J W L Aerts, T Young Poussaint, Benjamin H Kann
Stepwise Transfer Learning for Expert-level Pediatric Brain Tumor MRI Segmentation in a Limited Data Scenario. Radiology. Artificial intelligence 6 (4) (2024)
Aidan Boyd, Zezhong Ye, Sanjay P Prabhu, Michael C Tjong, Yining Zha, Anna Zapaishchykova, Sridhar Vajapeyam, Paul J Catalano, Hasaan Hayat, Rishi Chopra, Kevin X Liu, Ali Nabavizadeh, Adam C Resnick, Sabine Mueller, Daphne A Haas-Kogan, Hugo J W L Aerts, T Young Poussaint, Benjamin H Kann
Stepwise Transfer Learning for Expert-level Pediatric Brain Tumor MRI Segmentation in a Limited Data Scenario. Radiology. Artificial intelligence 6 (4) (2024)
Aidan Boyd, Zezhong Ye, Sanjay P Prabhu, Michael C Tjong, Yining Zha, Anna Zapaishchykova, Sridhar Vajapeyam, Paul J Catalano, Hasaan Hayat, Rishi Chopra, Kevin X Liu, Ali Nabavizadeh, Adam Resnick, Sabine Mueller, Daphne A Haas-Kogan, Hugo J W L Aerts, T Young Poussaint, Benjamin H Kann
Stepwise Transfer Learning for Expert-Level Pediatric Brain Tumor MRI Segmentation in a Limited Data Scenario. Radiology. Artificial intelligence (2024)
Aidan Boyd, Zezhong Ye, Sanjay P Prabhu, Michael C Tjong, Yining Zha, Anna Zapaishchykova, Sridhar Vajapeyam, Paul J Catalano, Hasaan Hayat, Rishi Chopra, Kevin X Liu, Ali Nabavizadeh, Adam Resnick, Sabine Mueller, Daphne A Haas-Kogan, Hugo J W L Aerts, T Young Poussaint, Benjamin H Kann
Stepwise Transfer Learning for Expert-Level Pediatric Brain Tumor MRI Segmentation in a Limited Data Scenario. Radiology. Artificial intelligence (2024)
Divyanshu Tak, Zezhong Ye, Anna Zapaishchykova, Yining Zha, Aidan Boyd, Sridhar Vajapeyam, Rishi Chopra, Hasaan Hayat, Sanjay P Prabhu, Kevin X Liu, Hesham Elhalawani, Ali Nabavizadeh, Ariana M Familiar, Adam C Resnick, Sabine Mueller, Hugo J W L Aerts, Pratiti Bandopadhayay, Keith L Ligon, Daphne A Haas-Kogan, T Young Poussaint, Benjamin H Kann
Noninvasive Molecular Subtyping of Pediatric Low-Grade Glioma with Self-Supervised Transfer Learning. Radiology. Artificial intelligence 6 (3) (2024)
Divyanshu Tak, Zezhong Ye, Anna Zapaishchykova, Yining Zha, Aidan Boyd, Sridhar Vajapeyam, Rishi Chopra, Hasaan Hayat, Sanjay P Prabhu, Kevin X Liu, Hesham Elhalawani, Ali Nabavizadeh, Ariana M Familiar, Adam C Resnick, Sabine Mueller, Hugo J W L Aerts, Pratiti Bandopadhayay, Keith L Ligon, Daphne A Haas-Kogan, T Young Poussaint, Benjamin H Kann
Noninvasive Molecular Subtyping of Pediatric Low-Grade Glioma with Self-Supervised Transfer Learning. Radiology. Artificial intelligence 6 (3) (2024)
Aidan Boyd, Zezhong Ye, Sanjay P Prabhu, Michael C Tjong, Yining Zha, Anna Zapaishchykova, Sridhar Vajapeyam, Paul J Catalano, Hasaan Hayat, Rishi Chopra, Kevin X Liu, Ali Nabavizadeh, Adam C Resnick, Sabine Mueller, Daphne A Haas-Kogan, Hugo J W L Aerts, T Young Poussaint, Benjamin H Kann
Stepwise Transfer Learning for Expert-level Pediatric Brain Tumor MRI Segmentation in a Limited Data Scenario. Radiology. Artificial intelligence 6 (4) (2024)
Divyanshu Tak, Zezhong Ye, Anna Zapaishchykova, Yining Zha, Aidan Boyd, Sridhar Vajapeyam, Rishi Chopra, Hasaan Hayat, Sanjay P Prabhu, Kevin X Liu, Hesham Elhalawani, Ali Nabavizadeh, Ariana M Familiar, Adam C Resnick, Sabine Mueller, Hugo J W L Aerts, Pratiti Bandopadhayay, Keith L Ligon, Daphne A Haas-Kogan, T Young Poussaint, Benjamin H Kann
Noninvasive Molecular Subtyping of Pediatric Low-Grade Glioma with Self-Supervised Transfer Learning. Radiology. Artificial intelligence 6 (3) (2024)
Michal Kazmierski, Mattea L Welch, Sejin Kim, Christopher McIntosh, Katrina Rey-McIntyre, Shao Hui Huang, Tirth Patel, Tony Tadic, Michael F Milosevic, Fei-Fei Liu, Adam Ryczkowski, Joanna Kazmierska, Zezhong Ye, Deborah Plana, Hugo J W L Aerts, Benjamin H Kann, Scott V Bratman, Andrew J Hope, Benjamin Haibe-Kains
Multi-institutional Prognostic Modeling in Head and Neck Cancer: Evaluating Impact and Generalizability of Deep Learning and Radiomics. Cancer research communications 3 (6) (2023)
Aidan Boyd, Zezhong Ye, Sanjay P Prabhu, Michael C Tjong, Yining Zha, Anna Zapaischykova, Sridhar Vajapeyam, Hasaan Hayat, Rishi Chopra, Kevin X Liu, Ali Nabavidazeh, Adam Resnick, Sabine Mueller, Daphne Haas-Kogan, Hugo J W L Aerts, Tina Poussaint, Benjamin H Kann
Expert-level pediatric brain tumor segmentation in a limited data scenario with stepwise transfer learning. medRxiv : the preprint server for health sciences (2023)
Divyanshu Tak, Zezhong Ye, Anna Zapaischykova, Aidan Boyd, Sridhar Vajapeyam, Rishi Chopra, Yining Zha, Hasaan Hayat, Sanjay P Prabhu, Kevin X Liu, Hesham Elhalawani, Ali Nabavidazeh, Ariana Familiar, Adam Resnick, Sabine Mueller, Hugo J W L Aerts, Pratiti Bandopadhayay, Keith Ligon, Daphne Haas-Kogan, Tina Poussaint, Benjamin H Kann
Noninvasive molecular subtyping of pediatric low-grade glioma with self-supervised transfer learning. medRxiv : the preprint server for health sciences (2023)
Zezhong Ye, Sam E Gary
Editorial for "Alterations in Resting-State MR Functional Connectivity of the Central Autonomic Network in Multiple System Atrophy and Relationship With Disease Severity". Journal of magnetic resonance imaging : JMRI (2023)
Zezhong Ye, Anurag Saraf, Yashwanth Ravipati, Frank Hoebers, Yining Zha, Anna Zapaishchykova, Jirapat Likitlersuang, Roy B Tishler, Jonathan D Schoenfeld, Danielle N Margalit, Robert I Haddad, Antti Aarni Mäkitie, Mohamed Naser, Kareem A Wahid, Jaakko Sahlsten, Joel Jaskari, Kimmo Kaski, Antti A Mäkitie, Clifton David Fuller, Hugo J W L Aerts, Benjamin H Kann
Fully-automated sarcopenia assessment in head and neck cancer: development and external validation of a deep learning pipeline. medRxiv : the preprint server for health sciences (2023)
Zezhong Ye
The power of the radiologist's last word: can deep learning models accurately differentiate between high-grade gliomas and metastasis through natural language processing on radiology reports? European radiology (2023)
Zezhong Ye, Anurag Saraf, Yashwanth Ravipati, Frank Hoebers, Yining Zha, Anna Zapaishchykova, Jirapat Likitlersuang, Roy B Tishler, Jonathan D Schoenfeld, Danielle N Margalit, Robert I Haddad, Antti Aarni Mäkitie, Mohamed Naser, Kareem A Wahid, Jaakko Sahlsten, Joel Jaskari, Kimmo Kaski, Antti A Mäkitie, Clifton David Fuller, Hugo J W L Aerts, Benjamin H Kann
Fully-automated sarcopenia assessment in head and neck cancer: development and external validation of a deep learning pipeline. medRxiv : the preprint server for health sciences (2023)
Zezhong Ye, Jack M Qian, Ahmed Hosny, Roman Zeleznik, Deborah Plana, Jirapat Likitlersuang, Zhongyi Zhang, Raymond H Mak, Hugo J W L Aerts, Benjamin H Kann
Deep Learning-based Detection of Intravenous Contrast Enhancement on CT Scans. Radiology. Artificial intelligence 4 (3) (2022)
Zezhong Ye
Editorial for "A Deep Learning Approach to Diagnostic Classification of Prostate Cancer Using Pathology-Radiology Fusion". Journal of magnetic resonance imaging : JMRI 54 (2) (2021)
Zezhong Ye
Editorial for "Histogram Analysis Comparison of Monoexponential, Advanced Diffusion- Weighted Imaging, and Dynamic Contrast-Enhanced MRI for Differentiating Borderline From Malignant Epithelial Ovarian Tumors". Journal of magnetic resonance imaging : JMRI 52 (1) (2020)
Zezhong Ye, Sam E Gary, Peng Sun, Sourajit Mitra Mustafi, George Russell Glenn, Fang-Cheng Yeh, Harri Merisaari, Chunyu Song, Ruimeng Yang, Guo-Shu Huang, Hung-Wen Kao, Chien-Yuan Lin, Yu-Chien Wu, Jens H Jensen, Sheng-Kwei Song
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. NMR in biomedicine 34 (1) (2020)
Zezhong Ye, Ajit George, Anthony T Wu, Xuan Niu, Joshua Lin, Gautam Adusumilli, Robert T Naismith, Anne H Cross, Peng Sun, Sheng-Kwei Song
Deep learning with diffusion basis spectrum imaging for classification of multiple sclerosis lesions. Annals of clinical and translational neurology 7 (5) (2020)
Zezhong Ye, Richard L Price, Xiran Liu, Joshua Lin, Rui-Meng Yang, Peng Sun, Anthony T Wu, Liang Wang, Rowland H Han, Chunyu Song, Sam E Gary, Diane D Mao, Michael Wallendorf, Jian L Campian, Jr-Shin Li, Jeffrey R Millman, Albert H Kim
Diffusion Histology Imaging Combining Diffusion Basis Spectrum Imaging (DBSI) and Machine Learning Improves Detection and Classification of Glioblastoma Pathology. Clinical cancer research : an official journal of the American Association for Cancer Research 26 (20) (2020)