Predicting Response to Therapy in Pancreatic Ductal Adenocarcinoma Using Convolutional Neural Networks
Medical Imaging 2025: Computer-Aided Diagnosis, Proceedings of SPIE 13407, 134071C.
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This conference paper is recorded in Medical Imaging 2025: Computer-Aided Diagnosis (2025). This page consolidates verified bibliographic metadata and the external records or research artifacts listed here.
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- Work type
- Conference paper
- Year
- 2025
- Publication date
- 2025-04-04
- Status
- Published
- Venue
- Medical Imaging 2025: Computer-Aided Diagnosis
- Publisher
- SPIE
- Volume
- 13407
- Pages
- 319-325
- Article
- 134071C
- Last verified
- 2026-08-02
Research topics
- pancreatic ductal adenocarcinoma
- treatment response
- convolutional neural networks
- computed tomography
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John Zhou, Dashti Ali, Ramtin Mojtahedi, Ahmad Bashir Barekzai, Jayasree Chakraborty, Hala Khasawneh, Camila Vilela, Natally Horvat, João Miranda, Alice C. Wei, and Amber L. Simpson. “Predicting Response to Therapy in Pancreatic Ductal Adenocarcinoma Using Convolutional Neural Networks.” Medical Imaging 2025: Computer-Aided Diagnosis, Proceedings of SPIE 13407, 134071C. https://doi.org/10.1117/12.3048961
@inproceedings{Zhou2025PDACResponse,
author = {John Zhou and Dashti Ali and Ramtin Mojtahedi and Ahmad Bashir Barekzai and Jayasree Chakraborty and Hala Khasawneh and Camila Vilela and Natally Horvat and João Miranda and Alice C. Wei and Amber L. Simpson},
title = {{Predicting Response to Therapy in Pancreatic Ductal Adenocarcinoma Using Convolutional Neural Networks}},
year = {2025},
booktitle = {Medical Imaging 2025: Computer-Aided Diagnosis},
volume = {13407},
pages = {319-325},
publisher = {SPIE},
doi = {10.1117/12.3048961},
url = {https://doi.org/10.1117/12.3048961}
}
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