GMAT: Grounded Multi-agent Clinical Description Generation for Text Encoder in Vision-Language MIL for Whole Slide Image Classification. Quang, N. B. L., Binh, N. L. N., Nguyen, T., Nguyen, L. T. P., Nguyen, Q., & Bagci, U. In Emerging LLM/LMM Applications in Medical Imaging - First International Workshop, ELAMI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings, pages 1–9, 2025.
GMAT: Grounded Multi-agent Clinical Description Generation for Text Encoder in Vision-Language MIL for Whole Slide Image Classification [link]Paper  doi  bibtex   
@inproceedings{DBLP:conf/miccai/QuangBNNNB25,
  author       = {Ngoc Bui Lam Quang and
                  Nam Le Nguyen Binh and
                  Thanh{-}Huy Nguyen and
                  Le Thien Phuc Nguyen and
                  Quan Nguyen and
                  Ulas Bagci},
  title        = {{GMAT:} Grounded Multi-agent Clinical Description Generation for Text
                  Encoder in Vision-Language {MIL} for Whole Slide Image Classification},
  booktitle    = {Emerging {LLM/LMM} Applications in Medical Imaging - First International
                  Workshop, {ELAMI} 2025, Held in Conjunction with {MICCAI} 2025, Daejeon,
                  South Korea, September 27, 2025, Proceedings},
  pages        = {1--9},
  year         = {2025},
  crossref     = {DBLP:conf/miccai/2025elami},
  url          = {https://doi.org/10.1007/978-3-032-07502-4\_1},
  doi          = {10.1007/978-3-032-07502-4\_1},
  timestamp    = {Thu, 30 Oct 2025 12:24:44 +0100},
  biburl       = {https://dblp.org/rec/conf/miccai/QuangBNNNB25.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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