Conference paper2025Published

Predicting Response to Therapy in Pancreatic Ductal Adenocarcinoma Using Convolutional Neural Networks

John Zhou, Dashti Ali, Ramtin Mojtahedi, Ahmad Bashir Barekzai, Jayasree Chakraborty, Hala Khasawneh, Camila Vilela, Natally Horvat, João Miranda, Alice C. Wei, Amber L. Simpson

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

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@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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