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David J. Sher
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2020 – today
- 2024
- [i4]Meixu Chen, Kai Wang, Michael Dohopolski, Howard E. Morgan, David J. Sher, Jing Wang:
TransAnaNet: Transformer-based Anatomy Change Prediction Network for Head and Neck Cancer Patient Radiotherapy. CoRR abs/2405.05674 (2024) - 2022
- [i3]Michael Dohopolski, Kai Wang, Biling Wang, Ti Bai, Dan Nguyen, David J. Sher, Steve B. Jiang, Jing Wang:
Uncertainty estimations methods for a deep learning model to aid in clinical decision-making - a clinician's perspective. CoRR abs/2210.00589 (2022) - 2021
- [i2]Ti Bai, Anjali Balagopal, Michael Dohopolski, Howard E. Morgan, Rafe McBeth, Jun Tan, Mu-Han Lin, David J. Sher, Dan Nguyen, Steve B. Jiang:
A Proof-of-Concept Study of Artificial Intelligence Assisted Contour Revision. CoRR abs/2107.13465 (2021)
2010 – 2019
- 2019
- [c2]Zhiguo Zhou, Michael Dohopolski, Liyuan Chen, Xi Chen, Steve B. Jiang, David J. Sher, Jing Wang:
Reliable lymph node metastasis prediction in head & neck cancer through automated multi-objective model. BHI 2019: 1-4 - 2018
- [c1]Zhiguo Zhou, Liyuan Chen, David J. Sher, Qiongwen Zhang
, Jennifer Shah, Nhat-Long Pham, Steve B. Jiang, Jing Wang:
Predicting Lymph Node Metastasis in Head and Neck Cancer by Combining Many-objective Radiomics and 3-dimensioal Convolutional Neural Network through Evidential Reasoning. EMBC 2018: 1-4 - [i1]Dan Nguyen, Xun Jia, David J. Sher, Mu-Han Lin, Zohaib Iqbal, Hui Liu, Steve B. Jiang:
Three-Dimensional Radiotherapy Dose Prediction on Head and Neck Cancer Patients with a Hierarchically Densely Connected U-net Deep Learning Architecture. CoRR abs/1805.10397 (2018)
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last updated on 2024-07-26 19:41 CEST by the dblp team
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