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    "title": "Parameter-Efficient Fine-Tuning and Few-Shot Learning of Multiscale Vision Transformers for Liver Tumour Segmentation in CT",
    "year": 2025,
    "publication_date": "2025-04-04",
    "group": "2025",
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    "authors": [
      "Ramtin Mojtahedi",
      "Mohammad Hamghalam",
      "Jacob J. Peoples",
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      "Richard K. G. Do",
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    "pages": "801-810",
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    {
      "title": "Parameter-Efficient Fine-Tuning of Foundation Models for Liver Tumor Segmentation in CT",
      "year": 2026,
      "url": "https://ramtin-mojtahedi.github.io/publications/foundation-models-liver-tumor-segmentation-2026/"
    },
    {
      "title": "Self-Supervised Transformer-Based Pipeline for Liver Tumor Segmentation and Type Classification",
      "year": 2026,
      "url": "https://ramtin-mojtahedi.github.io/publications/self-supervised-transformer-liver-tumor-2026/"
    },
    {
      "title": "Spectral Adapters for Segment Anything Model-based Segmentation of Colorectal Liver Metastases in Computed Tomography",
      "year": 2026,
      "url": "https://ramtin-mojtahedi.github.io/publications/spectral-adapters-sam-crlm-2026/"
    }
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