Performance Evaluation of a Stacked Classifier for Predicting Treatment Response in Unresectable Colorectal Liver Metastases
Medical Imaging 2025: Computer-Aided Diagnosis, Proceedings of SPIE 13407, 134071P.
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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
- 397-406
- Article
- 134071P
- Last verified
- 2026-08-02
Research topics
- colorectal liver metastases
- treatment response
- stacked classifier
- machine learning
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Mane Piliposyan, Mohammad Hamghalam, Ramtin Mojtahedi, Jacob J. Peoples, Kaitlyn S. Kobayashi, E. Claire Bunker, Natalie Gangai, Yun Shin Chun, Richard K. G. Do, Christian Muise, and Amber L. Simpson. “Performance Evaluation of a Stacked Classifier for Predicting Treatment Response in Unresectable Colorectal Liver Metastases.” Medical Imaging 2025: Computer-Aided Diagnosis, Proceedings of SPIE 13407, 134071P. https://doi.org/10.1117/12.3048943
@inproceedings{Piliposyan2025StackedClassifier,
author = {Mane Piliposyan and Mohammad Hamghalam and Ramtin Mojtahedi and Jacob J. Peoples and Kaitlyn S. Kobayashi and E. Claire Bunker and Natalie Gangai and Yun Shin Chun and Richard K. G. Do and Christian Muise and Amber L. Simpson},
title = {{Performance Evaluation of a Stacked Classifier for Predicting Treatment Response in Unresectable Colorectal Liver Metastases}},
year = {2025},
booktitle = {Medical Imaging 2025: Computer-Aided Diagnosis},
volume = {13407},
pages = {397-406},
publisher = {SPIE},
doi = {10.1117/12.3048943},
url = {https://doi.org/10.1117/12.3048943}
}
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