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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 26  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
EMCJ, MICT
(Joint)
2024-03-15
14:15
Shimane   A Study on Use of Language Models for Clinical Engineer Support
Rumi Iwai (Kyushu Univ.), Takunori Shimazaki (Jikei Univ.), Mitsuhiro Fukuda (Nitech Univ.), Takanao Mine (Hyogo Medical Univ.), Shingo Ata (Osaka Metropolitan Univ.), Takeshi Yokoyama (Kyushu Univ.), Daisuke Anzai (Nitech Univ.) MICT2023-80
 [more] MICT2023-80
pp.17-19
RCC, WBS, SAT, MICT 2022-05-25
14:30
Online Online Blood Flow Velocity Estimation Based on Non-Contact AVF Imaging
Takunori Shimazaki, Yoshifumi Kawakubo (Jikei University of Health Sci.), Rumi Iwai (Hyogo College of Med.), Shingo Ata (Osaka City Univ.), Daisuke Anzai (Nagoya Tech Univ.) WBS2022-4 RCC2022-4 SAT2022-4 MICT2022-4
In hemodialysis therapy, a special vessel called arteriovenous fistula (AVF), which is surgically created by anastomosin... [more] WBS2022-4 RCC2022-4 SAT2022-4 MICT2022-4
pp.14-17
NLP, MICT, MBE, NC
(Joint) [detail]
2022-01-23
11:45
Online Online A Novel Quantitative AVF Measurement Method Using Non-Contact Imaging
Rumi Iwai (Hyogo College of Medicine), Takunori Shimazaki, Yoshifumi Kawakubo (Jikei Univ.), Masanobu Tsurumoto (Bunri Univ.), Hiroyuki Hayashi, Masaharu Tamaki (Tamaki-Aozora Hospital.), Aki Otsuka (Sugi Hospital.), Kei Fukami (Kurume Univ.), Shingo Ata (Osaka City Univ.), Daisuke Anzai (Nagoya Tech Univ.) NLP2021-125 MICT2021-100 MBE2021-86
Hemodialysis is a treatment where the blood is once sent out of the body and cleaned using a special filter called a dia... [more] NLP2021-125 MICT2021-100 MBE2021-86
pp.254-259
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2021-02-18
13:50
Online Online Detecting axillary lymph node metastasis of breast cancer with FDG-PET/CT images based on attention mechanism
Zongyao Li, Ren Togo, Kenji Hirata (Hokkaido Univ.), Kazuhiro Kitajima (Hyogo Med.), Junki Takenaka (Hokkaido Univ.), Yasuo Miyoshi (Hyogo Med.), Kohsuke Kudo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
Determination of axillary nodal status is significant to treatment of breast cancer. Typically, the diagnosis of axillar... [more]
MI 2020-01-29
09:55
Okinawa OKINAWAKEN SEINENKAIKAN Automated dection for neck and thoracic lesions on FDG-PET/CT by lesion enhancement using one-class SVM
Atsuko Tanaka, Mitsutaka Memoto, Hayato Kaida, Yuichi Kimura, Takashi Nagaoka, Takahiro Yamada, Kazuyuki Ushifusa (Kindai Uni), Kohei Hanaoka (Kindai Uni Hosp), Kazuhiro Kitajima (Hyogo Col of Med), Tatsuya Tsuchitani (Hosp of Hyogo Col of Med), Kazunari Ishii (Kindai Uni) MI2019-67
We propose an anomaly detection based method to detect primary and metastatic lesions in the cervical and thoracic regio... [more] MI2019-67
pp.11-14
MI 2020-01-30
13:25
Okinawa OKINAWAKEN SEINENKAIKAN [Poster Presentation] Metamorphopsia inspection system based on drawing of own perceptual image by patient
Kazuma Mikami (Kwansei Gakuin Univ), Nao Sonoda, Yoichi Okita, Hisashi Fukuyama, Fumi Gomi (Hyogo Col Med), Masataka Imura (Kwansei Gakuin Univ) MI2019-111
(To be available after the conference date) [more] MI2019-111
pp.197-199
MI 2019-01-22
13:20
Okinawa   MI2018-72 (To be available after the conference date) [more] MI2018-72
pp.49-52
MI 2018-07-24
13:55
Iwate aiina (Morioka, Iwate) Machine learning for estimating implanted knee functions using a CT-free navigation
Belayat Hossain (UHyogo), Takatoshi Morooka, Makiko Okuno (Hyogo C. Medicine), Manabu Nii (UHyogo), Shinichi Yoshiya (Hyogo C. Medicine), Syoji Kobashi (UHyogo) MI2018-26
In total knee arthroplasty (TKA), the damaged knee joint is replaced by artificial prosthesis. Patient-specific TKA surg... [more] MI2018-26
pp.21-24
SIP, EA, SP, MI
(Joint) [detail]
2018-03-20
10:55
Okinawa   Temporally continuous Spatiotemporal Statistical Shape Model construction for the neonatal brain shape analysis
Kento Morita, Alam Saadia Binte, Manabu Nii (Univ. of Hyogo), Yuki Wakata, Kumiko Ando, Reiichi Ishikura (Hyogo College of Medicine), Akinobu Shimizu (Tokyo University of Agriculture and Technology), Syoji Kobashi (Univ. of Hyogo) MI2017-90
The number of neonates with development disorder is increasing in Japan. Very early intervention in development disorder... [more] MI2017-90
pp.87-91
MI 2016-01-20
15:29
Okinawa Bunka Tenbusu Kan Automatic Blumensaat's line detection method using Pseudo Lateral Radiograph for the Computer-aided Surgical Planning of Anterior Cruciate Ligament Reconstruction
Kento Morita, Syoji Kobashi (Univ. of Hyogo), Kaori Kashiwa, Hiroshi Nakayama, Shunichiro Kambara (Hyogo College of Medicine), Masakazu Morimoto (Univ. of Hyogo), Shinichi Yoshiya (Hyogo College of Medicine), Satoru Aikawa (Univ. of Hyogo) MI2015-143
Anterior cruciate ligament (ACL) injury causes knee joint instability, and affects on sports performance. Therefore, ACL... [more] MI2015-143
pp.345-349
MI 2015-11-11
17:40
Nara NAIST Development of 3-D in-vivo analysis of implanted knee from 2-D digital radiography by Particle Filter
Shohei Tada, Syoji Kobashi (Univ. of Hyogo), Fumiaki Imamura, Takatoshi Morooka, Shinich Yoshiya (Hyogo Col. of Med) MI2015-72
In this study, I aim for establishment of the technique that an image parses the DR(Digital Radiograph) movie which phot... [more] MI2015-72
pp.79-84
MI 2014-09-02
13:00
Tokyo The Institute of Statistical Mathematics [Special Talk] Discrimination of neuron and astrocyte using optical imaging data
Fumikazu Miwakeichi (ISM), Yoshihiko Oke (Hyogo Col. of Med) MI2014-38
Various optical imaging techniques have been developed to evaluate detailed spatio-temporal neural information in the br... [more] MI2014-38
p.19
HCS 2014-08-22
16:30
Kyoto   Analysis of disclosure training of adverse events
Susumu Seki, Mio Sakuma, Takeshi Morimoto (Hyogo Coll. of Med.) HCS2014-47
We proposed an education method which was a kind of roll playing trainings. Two roles were in a play; one was a doctor i... [more] HCS2014-47
pp.25-28
MI 2014-01-26
13:30
Okinawa Bunka Tenbusu Kan Newborn brain growth model using manifold learning
Ryosuke Nakano (Univ. of Hyogo), Syoji Kobashi, Kei Kuramoto (Univ. of Hyogo/WPI-IFReC), Yuki Wakata, Kumiko Ando, Reiichi Ishikura (Hyogo College of Medicine), Tomomoto Ishikawa (Ishikawa Hospital), Shozo Hirota (Hyogo College of Medicine), Yutaka Hata (Univ. of Hyogo/Osaka Univ.) MI2013-64
To develop a computer-aided diagnosis system for neonatal cerebral disorders, some literatures have shown atlas-based me... [more] MI2013-64
pp.47-52
MI 2014-01-26
13:30
Okinawa Bunka Tenbusu Kan 3-D Cerebral Sulci Registration of Neonatal Brain MRI Using Sulcal-Distribution Index
Kento Morita (Univ. of Hyogo), Syoji Kobashi, Kei Kuramoto (Univ. of Hyogo/Osaka Univ.), Yuki Wakata, Kumiko Ando, Reiichi Ishikura (Hyogo College of Medicine), Tomomoto Ishikawa (Ishikawa Hospital), Shozo Hirota (Hyogo College of Medicine), Yutaka Hata (Univ. of Hyogo/Osaka Univ.) MI2013-65
MR image registration (IR) has been used in brain function analysis, voxel-based-morphometry, etc. The conventional IR m... [more] MI2013-65
pp.53-58
MI 2011-09-06
10:45
Ibaraki AIST Brain Segmentation based on intensity distribution and brain shape in neonatal magnetic resonance image
Aya Hashioka (Univ. of Hyogo), Kei Kuramoto (Univ. of Hyogo/ WPI-IFReC), Kosuke Yamaguchi (Univ. of Hyogo), Syoji Kobashi (Univ. of Hyogo/ WPI-IFReC), Yuki Wakata, Kumiko Ando, Reiichi Ishikura (Hyogo College of Medicine), Tomomoto Ishikawa (Ishikawa Hospital), Shozo Hirota (Hyogo College of Medicine), Yutaka Hata (Univ. of Hyogo/ WPI-IFReC) MI2011-51
For diagnosis of the neonatal cerebral disorders, it is useful to measure cerebral volume and surface area using magneti... [more] MI2011-51
pp.21-26
MI 2011-01-20
11:30
Okinawa Naha-Bunka-Tembusu Brain Shape Normalization in Neonatal MR Images
Aya Hashioka (Univ. of Hyogo), Syoji Kobashi, Kei Kuramoto (Univ. of Hyogo/ WPI-IFReC), Yuki Wakata, Kumiko Ando, Reiichi Ishikura (Hyogo College of Medicine), Tomomoto Ishikawa (Ishikawa Hospital), Shozo Hirota (Hyogo College of Medicine), Yutaka Hata (Univ. of Hyogo/ WPI-IFReC) MI2010-103
In order to diagnose the cerebral diseases in the early stage, diagnosing method for neonatal brain must be studied. Vox... [more] MI2010-103
pp.115-120
MVE, ITE-HI 2010-06-29
13:35
Tokyo Sanjo Conference Hall The calibration-less estimation of camera model of oblique-viewing endoscope for AR surgery
Hiroki Moriguchi, Yoshihiro Kuroda (Osaka Univ.), Hidekazu Takiuchi (Nishinomiya municipal central hospital), Masataka Imura (Osaka Univ.), Shingo Yamamoto (Hyogo college of medicine), Osamu Oshiro (Osaka Univ.) MVE2010-30
In AR surgery, a surgeon is supported by that 3D organ model that
overlaid on the surgical view.
When using an obliqu... [more]
MVE2010-30
pp.43-46
MI 2010-01-29
11:40
Okinawa Naha-Bunka-Tenbusu Skull Stripping from Neonatal and Infantile Magnetic Resonance Images Using Two Types of Gaussian Discriminant
Yuko Fujimoto (Univ. of Hyogo), Syoji Kobashi (Univ. of Hyogo/Osaka Univ.), Yuki Wakata, Reiichi Ishikura (Hyogo College of Medicine), Kei Kuramoto (Univ. of Hyogo/Osaka Univ.), Seturo Imawaki (Ishikawa Hospital), Shozo Hirota (Hyogo College of Medicine), Yutaka Hata (Univ. of Hyogo/Osaka Univ.) MI2009-141
It is effective to measure cerebral surface and for quantitative diagnosis of neonatal and infantile brain diseases. Thi... [more] MI2009-141
pp.351-356
MI 2009-11-11
10:30
Osaka Osaka Univ. Icho Kaikan Trial of clinical evaluation of registration method based on intraoperative measurement in the body
Hisashi Kanamori, Yoshihiro Kuroda (Osaka Univ.), Hidekazu Takiuchi (Nishinomiya Munkipal Central Hospital), Masao Tanooka (The Hospital of Hyogo College of Medicine), Masataka Imura (Osaka Univ.), Tomohiro Kuroda (Kyoto Univ. Hospital), Shingo Yamamoto (Hyogo College of Medicine), Osamu Oshiro (Osaka Univ.) MI2009-65
AR surgical navigation visualizes a target object hidden behind other tissue to support a surgeon.
3D registration betw... [more]
MI2009-65
pp.7-12
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