Zhuotun Zhu

Johns Hopkins University — United States

Computer Science · Physical Sciences

17h-index1.5kcitations33works0.02yr avg
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Research Topics

Advanced Neural Network Applications(18), Radiomics and Machine Learning in Medical Imaging(14), AI in cancer detection(11), Medical Image Segmentation Techniques(9), Pancreatic and Hepatic Oncology Research(7)

Publications33 total

Deep neural network-based segmentation of normal and abnormal pancreas on abdominal CT: evaluation of global and local accuracies
Abdominal Radiology·2023· 17 cited
The FELIX Project: Deep Networks To Detect Pancreatic Neoplasms
2022· 24 citedOpen Access
Editorial: Advances in AI methods for computational pathology
Frontiers in Medicine·2022Open Access
Thoracic Lymph Node Segmentation in CT Imaging via Lymph Node Station Stratification and Size Encoding
Lecture notes in computer science·2022· 6 cited
Comprehensive and Clinically Accurate Head and Neck Organs at Risk Delineation via Stratified Deep Learning: A Large-scale Multi-Institutional Study
2021· 2 citedOpen Access
Segmentation for Classification of Screening Pancreatic Neuroendocrine Tumors
2021· 12 cited
DEEP LEARNING FOR VOLUMETRIC MEDICAL IMAGE SEGMENTATION
2020
Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network
arXiv (Cornell University)·2020· 4 citedOpen Access
Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-based Gating using 3D CT/PET Imaging in Radiotherapy
arXiv (Cornell University)·2020· 3 citedOpen Access
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation
Medical Image Analysis·2020· 255 citedOpen Access
Organ at Risk Segmentation for Head and Neck Cancer Using Stratified Learning and Neural Architecture Search
2020· 62 cited
Detecting Scatteredly-Distributed, Small, andCritically Important Objects in 3D OncologyImaging via Decision Stratification
arXiv (Cornell University)·2020· 7 citedOpen Access
Organ at Risk Segmentation for Head and Neck Cancer using Stratified Learning and Neural Architecture Search
arXiv (Cornell University)·2020· 14 citedOpen Access
Segmentation for Classification of Screening Pancreatic Neuroendocrine Tumors
arXiv (Cornell University)·2020· 7 citedOpen Access
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training
2020· 166 cited
Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network
Lecture notes in computer science·2020· 24 cited
Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-Based Gating Using 3D CT/PET Imaging in Radiotherapy
Lecture notes in computer science·2020· 30 cited
V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation
2019· 108 cited
Application of Deep Learning to Pancreatic Cancer Detection: Lessons Learned From Our Initial Experience
Journal of the American College of Radiology·2019· 91 cited
V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation
arXiv (Cornell University)·2019· 12 citedOpen Access
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Frequent Co-authors

Alan Yuille(25), Yingda Xia(13), Elliot K. Fishman(13), Lingxi Xie(9), Dazhou Guo(9), Dakai Jin(9), Tsung‐Ying Ho(9), Le Lü(9), Fengze Liu(8), Jing Xiao(8), Wei Shen(7), Chun-Hung Chao(7), Xianghua Ye(7), Jinzheng Cai(6), Adam P. Harrison(6), Dong Yang(5), Daguang Xu(5), Ke Yan(5), Lequan Yu(3), Holger R. Roth(3)