Radiomics Boosts Deep Learning Model for IPMN Classification. Yao, L., Zhang, Z., Demir, U., Keles, E., Vendrami, C., Agarunov, E., Bolan, C. W., Schoots, I., Bruno, M. J., Keswani, R., Miller, F. H., Gonda, T., Yazici, C., Tirkes, T., Wallace, M. B., Spampinato, C., & Bagci, U. In Machine Learning in Medical Imaging - 14th International Workshop, MLMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings, Part II, pages 134–143, 2023.
Radiomics Boosts Deep Learning Model for IPMN Classification [link]Paper  doi  bibtex   
@inproceedings{DBLP:conf/mlmi-ws/YaoZDKVABSBKMGYTWSB23,
  author       = {Lanhong Yao and
                  Zheyuan Zhang and
                  Ugur Demir and
                  Elif Keles and
                  Camila Vendrami and
                  Emil Agarunov and
                  Candice W. Bolan and
                  Ivo Schoots and
                  Marc J. Bruno and
                  Rajesh Keswani and
                  Frank H. Miller and
                  Tamas Gonda and
                  Cemal Yazici and
                  Temel Tirkes and
                  Michael B. Wallace and
                  Concetto Spampinato and
                  Ulas Bagci},
  title        = {Radiomics Boosts Deep Learning Model for {IPMN} Classification},
  booktitle    = {Machine Learning in Medical Imaging - 14th International Workshop,
                  {MLMI} 2023, Held in Conjunction with {MICCAI} 2023, Vancouver, BC,
                  Canada, October 8, 2023, Proceedings, Part {II}},
  pages        = {134--143},
  year         = {2023},
  crossref     = {DBLP:conf/mlmi-ws/2023-2},
  url          = {https://doi.org/10.1007/978-3-031-45676-3\_14},
  doi          = {10.1007/978-3-031-45676-3\_14},
  timestamp    = {Tue, 01 Apr 2025 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/mlmi-ws/YaoZDKVABSBKMGYTWSB23.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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