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    "id": "stacked-classifier-treatment-response-2025",
    "title": "Performance Evaluation of a Stacked Classifier for Predicting Treatment Response in Unresectable Colorectal Liver Metastases",
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    "publication_date": "2025-04-04",
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      "Mohammad Hamghalam",
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      "Kaitlyn S. Kobayashi",
      "E. Claire Bunker",
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      "Yun Shin Chun",
      "Richard K. G. Do",
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    "keywords": [
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    "plain_text": "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",
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    {
      "title": "Predicting Response to Therapy in Pancreatic Ductal Adenocarcinoma Using Convolutional Neural Networks",
      "year": 2025,
      "url": "https://ramtin-mojtahedi.github.io/publications/pdac-treatment-response-cnn-2025/"
    },
    {
      "title": "The Search for CT Imaging Subtypes of Colorectal Liver Metastases and the Impacts of Slice Thickness",
      "year": 2025,
      "url": "https://ramtin-mojtahedi.github.io/publications/ct-imaging-subtypes-slice-thickness-2025/"
    },
    {
      "title": "Improving Preoperative Risk Stratification in Colorectal Liver Metastases: A Multi-Institutional Evaluation of Multimodal Prediction Models",
      "year": 2026,
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