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.
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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