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Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2020-09-03
Online Online Segmentation of Layer Structure of Stomach Wall and Tumor from MicroCT volumes Using Neural Network and Spherical K-means
Midori Mitarai, Hirohisa Oda, Takaaki Sugino, Takayasu Moriya, Hayato Itoh, Masahiro Oda, Takuma Komiyama, Kazuhiro Furukawa, Ryoji Miyahara, Mitsuhiro Fujishiro (Nagoya Univ.), Masaki Mori (Sapporo-Kosei General Hospital), Hirotsugu Takabatake (Sapporo Minami-sanjo Hospital), Hiroshi Natori (Keiwakai Nishioka Hospital), Kensaku Mori (Nagoya Univ.) MI2020-17
This paper reports a segmentation method of the layered structure of the stomach wall and tumor from μCT volumes using f... [more] MI2020-17
MI 2019-01-22
Okinawa   Deep learning-based segmentation of head anatomical structures using multi-modal images -- Segmentation accuracy validation for training on a small amount of image data --
Takaaki Sugino, Holger R. Roth, Masahiro Oda (Nagoya Univ.), Taichi kin (Univ. of Tokyo), Kensaku Mori (Nagoya Univ.) MI2018-77
This paper proposes a fully convolutional network-based method for segmenting head anatomical structures from multi-moda... [more] MI2018-77
MI 2019-01-23
Okinawa   Report on MICCAI 2018
Masahiro Oda (Nagoya Univ.), Yoshito Otake (NAIST), Hayato Ito, Takaaki Sugino (Nagoya Univ.), Atsushi Saito (TUAT), Ryo Furukawa (Hiroshima City Univ.), Takashi Onishi, Atsushi Imiya (Chiba Univ.), Kensaku Mori (Nagoya Univ.) MI2018-111
In this paper, the outlines of MICCAI 2018 main conference sessions and workshops are introduced. A few interesting repo... [more] MI2018-111
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