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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 43  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
HCS 2022-03-11
13:30
Online Online A multimodal analysis of mother-child interaction in children with ASD -- A single case study of a girl with verbal communication difficulty --
Ryotaro Ito (Kyoto Univ.), Kanae Matushima (Kansai Medical Univ.), Chika Nagaoka (Otemon Gakuin Univ.), Mi AN, Akane Uda, Toshihiro Kato (Kyoto Univ.), Sakiko Yoshikawa (Kyoto University of the Arts), Atshushi Nakazawa (Kyoto Univ.), Miwako Honda (NHO Tokyo Medical Center), Yves Gineste (Kyoto Univ.), Natsuko Ando (Chofu Tozan Hospital), Miyuki Iwamoto (Kyoto Univ.) HCS2021-65
“Humanitude” is a multimodal comprehensive care methodology. In this study, we provided intervention using “Humanitude” ... [more] HCS2021-65
pp.25-30
HCS, HIP, HI-SIGCOASTER [detail] 2021-05-24
10:10
Online Online A multimodal analysis of mother-child interaction in children with ASD -- Comparison between 2 children with different level of language development --
Kanae Matushima (Kansai Medical Univ.), Chika Nagaoka (Otemon Gakuin Univ.), Mi AN, Ryotaro Ito, Toshihiro Kato (Kyoto Univ.), Sakiko Yoshikawa (Kyoto University of the Arts), Atshushi Nakazawa (Kyoto Univ.), Miwako Honda (NHO Tokyo Medical Center), Yves Gineste (Kyoto Univ.), Natsuko Ando (Chofu Tozan Hospital), Miyuki Iwamoto (Kyoto Univ.) HCS2021-3 HIP2021-3
This study aimed to investigate interventions to improve mother-child communication in children with autism spectrum dis... [more] HCS2021-3 HIP2021-3
pp.11-16
MI 2021-03-16
09:00
Online Online Lung segmentation of thoracic CT volumes by combining slice-wise with pixel-wise classification
Takahito Haruishi, Atsushi Saito (TUAT), Masahiro Hashimoto (Keio University), Yoshito Otake (NAIST), Toshiaki Akashi (Juntendo University), Akinobu Shimizu (TUAT) MI2020-63
 [more] MI2020-63
pp.72-73
MI 2021-03-16
13:15
Online Online [Short Paper] Feature extraction using AutoEncorder from nodular shadows on chest CT images
Yuta Tanaka, Takeshi Hara, Xiangrong Zhou (Gifu Univ.), Masaki Matsusako, Taiki Nozaki (St. Luke's Hosp.) MI2020-71
Lung cancer mortality in men is 86.7% in 2018. If the benign and malignant lung cancer and the growth rate of nodules ca... [more] MI2020-71
pp.99-101
HCS 2020-08-22
16:00
Online Online An exploratory study of interaction between mothers and children with autism spectrum disorders (1) -- Development of a multimodal analysis method --
Chika Nagaoka (Otemon Gakuin Univ.), Kanae Matushima (Kansai Medical Univ.), Sakiko Yoshikawa (Kyoto University of the Arts), Toshihiro Kato, Atshushi Nakazawa (Kyoto Univ.), Miwako Honda (NHO Tokyo Medical Center), Yves Gineste (Kyoto Univ.), Natsuko Ando (Chofu Tozan Hospital), Miyuki Iwamoto (Kyoto Univ.) HCS2020-38
The present study aimed to develop a method to appropriately evaluate mother–child interaction to support communication ... [more] HCS2020-38
pp.99-104
HCS 2020-08-22
16:30
Online Online An exploratory study of interaction between mothers and children with autism spectrum disorders (2) -- A case study on a preschooler with autism spectrum disorders --
Kanae Matsushima (Kansai Medical Univ.), Chika Nagaoka (Otemon Gakuin Univ.), Toshihiro Kato (Kyoto Univ.), Sakiko Yoshikawa (Kyoto University of the Arts), Atshushi Nakazawa (Kyoto Univ.), Miwako Honda (NHO Tokyo Medical Center), Yves Gineste (Kyoto Univ.), Natsuko Ando (Chofu Tozan Hospital), Miyuki Iwamoto (Kyoto Univ.) HCS2020-39
Via a multimodal analysis, this study sought to examine the differences in child-mother interactions among preschool chi... [more] HCS2020-39
pp.105-110
MI 2020-01-29
10:05
Okinawa OKINAWAKEN SEINENKAIKAN A study of generalized generation of image features for computer-aided detection systems based on unsupervised learning with normal datasets -- Experimental evaluations of feature generation by small datasets --
Kazuyuki Ushifusa, Mitsutaka Nemoto(, Yuichi Kimura, Takashi Nagaoka, Takahiro Yamada, Atsuko Tanaka (Kindai Uni.), Naoto Hayashi (The Uni of Tokyo Hosp) MI2019-68
In a computer-aided detection system, image features are essential factors. In this study, we propose an image feature g... [more] MI2019-68
pp.15-18
MI 2020-01-29
13:20
Okinawa OKINAWAKEN SEINENKAIKAN Imbalanced Subarachnoid Hemorrhage data automatic detection by using SMOTE algorithm based on deep learning
Zhongyang Lu, Masahiro Oda, Yuichiro Hayashi, Hayato Ito (Nagoya Univ), Takeyuki Watadani, Osamu Abe (Department of Radiology,The Univ of Tokyo Hospital), Masahiro Hashimoto, Masahiro Jinzaki (Department of Radiology,Keio Univ School of Medicine), Kensaku Mori (Nagoya Univ) MI2019-75
Based on deep learning techniques, the performance of image classification has made significant progress. Especially in ... [more] MI2019-75
pp.47-52
MI 2020-01-30
14:20
Okinawa OKINAWAKEN SEINENKAIKAN Report on MICCAI 2019
Masahiro Oda, Hayato Itoh (Nagoya Univ.), Shoko Miyauchi, Ken'ichi Morooka (Kyusyu Univ.), Hirotaka Matsuzaki (National Cancer Center Hospital East), Shohei Hanaoka (Tokyo Univ. Hospital), Ryo Furukawa, Yoshitaka Masutani (Hiroshima City Univ.), Kensaku Mori (Nagoya Univ.) MI2019-117
In this paper, the outlines of MICCAI 2019 main conference sessions and workshops are introduced. A few interesting repo... [more] MI2019-117
pp.219-226
SIP, MI, IE 2019-05-24
15:15
Aichi   On the influence of data augmentation and network structures in bleeding detection from brain CT images using deep learning
Zhongyang Lu, Masahiro Oda, Tong Zheng, Chen Shen, Tao Hu (Graduate School of Informatics, Nagoya Univ), Takeyuki Watadani, Osamu Abe (Department of Radiology,The University of Tokyo Hospital), Masahiro Hashimoto, Masahiro Jinzaki (Department of Radiology,Keio University School of Medicine), Kensaku Mori (Graduate School of Informatics, Nagoya Univ) SIP2019-15 IE2019-15 MI2019-15
Based on deep learning technique, the performance of image classification has made great progress. However, their state-... [more] SIP2019-15 IE2019-15 MI2019-15
pp.65-70
MI 2019-01-22
13:20
Okinawa   [Short Paper] Differences of Segmentation Results by Three Training Data for Cartilage Extraction in Knee MR Images Using Deep Learning
Ryoma Aoki, Takeshi Hara (Gifu Univ), Taiki Nozaki, Masaki Matsusako (Dept.of Radiol.,St.Luke's Hosp.), Xiangrong Zhou, Hiroshi Fujita (Gifu Univ) MI2018-76
Accurate grasp of cartilage area is important for diagnosis and treatment related to arthropathy diseases. In recent yea... [more] MI2018-76
pp.63-64
MI 2019-01-22
14:50
Okinawa   [Short Paper] Towards Annotating Less Medical Images: -- PGGAN-based MR Image Augmentation for Brain Tumor Detection --
Changhee Han (UTokyo), Hideaki Hayashi (Kyushu Univ.), Leonardo Rundo (Univ. Cambridge), Ryosuke Araki (Chubu Univ.), Yudai Nagano (UTokyo), Yujiro Furukawa (Kanto Rosai Hosp.), Giancarlo Mauri (Univ. Milano-Bicocca), Hideki Nakayama (UTokyo) MI2018-82
How can we tackle the lack of available annotated medical image data through Data Augmentation (DA) techniques for accur... [more] MI2018-82
pp.93-94
MI 2017-01-18
14:15
Okinawa Tenbusu Naha [Short Paper]
Nami Nishikwa, Takeshi Hara (Gifu Univ.), Nozaki Taiki, Matsusako Masaki (Dept.of Radiol.,St.Luke's Hosp.), Xiangrong Zhou, Fujita Hiroshi (Gifu Univ.) MI2016-84
(To be available after the conference date) [more] MI2016-84
pp.57-58
MI 2017-01-18
14:15
Okinawa Tenbusu Naha MI2016-92 This paper presents the improvement of the humerus recognition algorithm on a bone scintigram. Specifically, we report o... [more] MI2016-92
pp.79-80
MI 2016-11-14
11:15
Tottori Tottori Univ.
Kyosuke Seike, Mikio Matsuhiro, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki (Tokushima Univ.), Yasutaka Nakano (Shiga Univ of Medical Science), Masahiko Kushumoto (National Cancer Hospital East), Takaaki Tsuthida (National Cancer Center Hospital), Kenji Eguchi (Faculty of medicine, Teikyo Univ), Masahiro Kaneko (Tokyo Health Service association) MI2016-66
 [more] MI2016-66
pp.19-23
MBE, NC
(Joint)
2016-03-23
10:30
Tokyo Tamagawa University MR-based Global Tractography Analyses of White Matter Nerve Bundles toward Identification of Neural Network associated with Schizophrenia
Satoki Yoda, Hodaka Miki, Shiho Okuhata (Kyoto Univ.), Naohiro Okada, Noriaki Yahata, Kiyoto Kasai (Tokyo Univ.), Tetsuo Kobayashi (Kyoto Univ.) MBE2015-119
 [more] MBE2015-119
pp.89-93
IE, IMQ, MVE, CQ
(Joint) [detail]
2016-03-07
15:20
Okinawa   Introduction of medical AR system in the ultrasonography using optical tracking and magnetic tracking complementary
Naofumi Kosugi, Shun'ichi Tano, Tomonori Hashiyama (UEC), Kenji miki (JR Tokyo General Hospital), Mitsuru Iwata (TMCIT) IMQ2015-56 IE2015-155 MVE2015-83
 [more] IMQ2015-56 IE2015-155 MVE2015-83
pp.157-162
MI 2016-01-20
13:05
Okinawa Bunka Tenbusu Kan [Poster Presentation] Improvement of anatomical structure recognition algorithm from a bone scintigram by multi-atlas method
Taro Sunada, Atsushi Saito (TAT), Shohei Hanaoka (TAT/Tokyo Univ.), Shigeaki Higashiyama, Joji Kawabe, Susumu Shiomi (Osaka City Univ.), Akinobu Shimizu (TAT) MI2015-125
(To be available after the conference date) [more] MI2015-125
pp.251-256
MI 2015-11-11
11:15
Nara NAIST Longitudinal Follow-up Study of Smoking-induced Emphysema Progressing using Low-dose CT Screening
Kohji Shimada, Mikio Matsuhiro, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki (Tokushima Univ), Yasutaka Nakano (Shiga Univ), Hironobu Ohmatsu, Masahiko Kusumoto (National Cancer Center Hospital East), Takaaki Tsuchida (National Cancer Center Hospital), Kenji Eguchi (Teikyo Univ), Masahiro Kaneko (Tokyo Health Service Association) MI2015-61
(To be available after the conference date) [more] MI2015-61
pp.19-22
MI 2015-09-08
14:25
Tokyo Univ. of Electro-communications Improvement of a convolutional neural network based rib fracture detection algorithm from an Ai-CT volume
Yusuke Takata (TUAT), Shohei Hanaoka (The University of Tokyo Hospital/Tokyo University of Agricultu), Seiji Yamamoto (Ai Information Center), Akinobu Shimizu (TUAT) MI2015-53
(To be available after the conference date) [more] MI2015-53
pp.25-30
 Results 1 - 20 of 43  /  [Next]  
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