| Title: | A Deep Sequential Learning Architecture for Xerostomia Prediction in Parotid Glands Using CBCT and Rigid-Registered Dose Images |
| Authors: | Tseng, H. Rosen, B. Chien, J. T. Mierzwa, M. Ten Haken, R. El Naqa, I. 交大名義發表 National Chiao Tung University |
| Issue Date: | 1-Jun-2019 |
| URI: | http://hdl.handle.net/11536/152209 |
| ISSN: | 0094-2405 |
| Journal: | MEDICAL PHYSICS |
| Volume: | 46 |
| Issue: | 6 |
| Begin Page: | 0 |
| End Page: | 0 |
| Appears in Collections: | Articles |
- A Recurrent Neural Network for Xerostomia Prediction in Head and Neck Cancer From Daily CBCT Images / Tseng, H. H.;Rosen, B.;Brock, K.;Eisbruch, A.;Mierzwa, M.
- Estimated radiation risk of cancer from dental cone-beam computed tomography imaging in orthodontics patients / Yeh, Jih-Kuei;Chen, Chia-Hui
- Evaluating Instantaneous Perfusion Responses of Parotid Glands to Gustatory Stimulation Using High-Temporal-Resolution Echo-Planar Diffusion-Weighted Imaging / Chiu, T. -W.;Liu, Y. -J.;Chang, H. -C.;Lee, Y. -H.;Lee, J. -C.
- A Method for Extracting Suspected Parotid Lesions in CT Images using Feature-based Segmentation and Active Contours based on Stationary Wavelet Transform / Wu, T. Y.;Lin, S. F.
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