{
  "schema_version": 1,
  "record_url": "https://ramtin-mojtahedi.github.io/publications/self-supervised-transformer-liver-tumor-2026/",
  "last_verified": "2026-08-02",
  "profile": {
    "name": "Ramtin Mojtahedi",
    "orcid": "https://orcid.org/0000-0002-3953-3256",
    "google_scholar": "https://scholar.google.com/citations?user=KjUrlGUAAAAJ&hl=en",
    "website": "https://ramtin-mojtahedi.github.io/"
  },
  "publication": {
    "id": "self-supervised-transformer-liver-tumor-2026",
    "title": "Self-Supervised Transformer-Based Pipeline for Liver Tumor Segmentation and Type Classification",
    "year": 2026,
    "publication_date": "2026-01-30",
    "group": "2026",
    "status": "Published · Free manuscript",
    "authors": [
      "Ramtin Mojtahedi",
      "Mohammad Hamghalam",
      "Jacob J. Peoples",
      "William R. Jarnagin",
      "Richard K. G. Do",
      "Amber L. Simpson"
    ],
    "authors_html": "<strong>R. Mojtahedi</strong>, M. Hamghalam, J. J. Peoples, W. R. Jarnagin, R. K. G. Do, and A. L. Simpson",
    "citation": "JCO Clinical Cancer Informatics 10 (2026), e2500135.",
    "citation_plain": "JCO Clinical Cancer Informatics 10 (2026), e2500135.",
    "doi": "10.1200/CCI-25-00135",
    "url": "https://doi.org/10.1200/CCI-25-00135",
    "link_label": "DOI ↗",
    "manual": true,
    "source": "Publisher and DOI metadata; OpenAlex/ORCID; Crossref",
    "last_verified": "2026-08-02",
    "title_aliases": [],
    "venue": "JCO Clinical Cancer Informatics",
    "volume": "10",
    "issue": "1",
    "pages": "",
    "article_number": "e2500135",
    "type": "journal-article",
    "peer_reviewed": true,
    "publisher": "American Society of Clinical Oncology",
    "keywords": [
      "self-supervised learning",
      "vision transformers",
      "liver tumor segmentation",
      "tumor classification"
    ],
    "note": "The public PMC copy is the NIH author manuscript; no Creative Commons licence is asserted here.",
    "detail_url": "/publications/self-supervised-transformer-liver-tumor-2026/",
    "open_access_url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC12866948/",
    "open_access_label": "Free NIH manuscript",
    "open_access_license": "",
    "preprint_url": "",
    "code_url": "",
    "code_label": "Code",
    "pubmed_url": "https://pubmed.ncbi.nlm.nih.gov/41616240/",
    "pmc_url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC12866948/",
    "citation_pdf_url": "",
    "bibtex_type": "article",
    "bibtex_key": "Mojtahedi2026SelfSupervised"
  },
  "citation": {
    "plain_text": "Ramtin Mojtahedi, Mohammad Hamghalam, Jacob J. Peoples, William R. Jarnagin, Richard K. G. Do, and Amber L. Simpson. “Self-Supervised Transformer-Based Pipeline for Liver Tumor Segmentation and Type Classification.” JCO Clinical Cancer Informatics 10 (2026), e2500135. https://doi.org/10.1200/CCI-25-00135",
    "bibtex": "@article{Mojtahedi2026SelfSupervised,\n  author = {Ramtin Mojtahedi and Mohammad Hamghalam and Jacob J. Peoples and William R. Jarnagin and Richard K. G. Do and Amber L. Simpson},\n  title = {{Self-Supervised Transformer-Based Pipeline for Liver Tumor Segmentation and Type Classification}},\n  year = {2026},\n  journal = {JCO Clinical Cancer Informatics},\n  volume = {10},\n  number = {1},\n  eid = {e2500135},\n  doi = {10.1200/CCI-25-00135},\n  url = {https://doi.org/10.1200/CCI-25-00135},\n  note = {The public PMC copy is the NIH author manuscript; no Creative Commons licence is asserted here.}\n}",
    "ris": "TY  - JOUR\nTI  - Self-Supervised Transformer-Based Pipeline for Liver Tumor Segmentation and Type Classification\nAU  - Ramtin Mojtahedi\nAU  - Mohammad Hamghalam\nAU  - Jacob J. Peoples\nAU  - William R. Jarnagin\nAU  - Richard K. G. Do\nAU  - Amber L. Simpson\nPY  - 2026\nDA  - 2026-01-30\nT2  - JCO Clinical Cancer Informatics\nVL  - 10\nIS  - 1\nSP  - e2500135\nDO  - 10.1200/CCI-25-00135\nUR  - https://doi.org/10.1200/CCI-25-00135\nKW  - self-supervised learning\nKW  - vision transformers\nKW  - liver tumor segmentation\nKW  - tumor classification\nN1  - The public PMC copy is the NIH author manuscript; no Creative Commons licence is asserted here.\nER  -\n"
  },
  "related_records": [
    {
      "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": "Parameter-Efficient Fine-Tuning and Few-Shot Learning of Multiscale Vision Transformers for Liver Tumour Segmentation in CT",
      "year": 2025,
      "url": "https://ramtin-mojtahedi.github.io/publications/peft-few-shot-multiscale-vit-2025/"
    },
    {
      "title": "Leveraging Contrastive Learning with SimSiam for the Classification of Primary and Secondary Liver Cancers",
      "year": 2023,
      "url": "https://ramtin-mojtahedi.github.io/publications/simsiam-liver-cancer-classification-2023/"
    }
  ]
}