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Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IPSJ-CVIM 2021-03-04
16:35		 Online Online Quantifying detection quality in the presence of adversarial inputs in dermatological images
Mishra Sourav (UTokyo), Hideaki Imaizumi (exMedio), Toshihiko Yamasaki (UTokyo) PRMU2020-82		 We have tested deep learning based detection on dermatological conditions commonly encountered in clinical settings. Des... [more] PRMU2020-82
pp.77-82
PRMU, IPSJ-CVIM 2020-03-16
15:25		 Kyoto
(Cancelled but technical report was issued)		 Assessing robustness of deep learning methods in dermoscopic workflow
Sourav Mishra (Univ. of Tokyo), Hideaki Imaizumi (exMedio), Toshihiko Yamasaki (Univ. of Tokyo) PRMU2019-79		 Our paper aims to evaluate current deep learning methods for clinical workflow in the domain of dermatology. Although de... [more] PRMU2019-79
pp.77-78
ASN, MoNA, IPSJ-MBL, IPSJ-UBI
(Joint) [detail]		 2016-02-29
13:15		 Tokyo Tokyo University of Science [Invited Talk] Encouragement of Startup by Researchers
Hideaki Imaizumi (exMedio) MoNA2015-57 ASN2015-100		  [more] MoNA2015-57 ASN2015-100
p.31
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