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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI | 2021-05-17 10:00 |
Online | Online | [Short Paper]
Regression of Induced Electric Field for TMS by using Neural Network and Governing Equation Toyohiro Maki (NITech), Yoshikazu Ugawa, Takenobu Murakami (Fukushima Medical Univ.), Tatsuya Yokota, Akimasa Hirata, Hidekata Hontani (NITech)  MI2021-1 |
TMS (Transcranial Magnetic Stimulation) is a method which stimulate the neurons in the brain by using a coil. Since stim... [more] | MI2021-1 pp.1-2 |
| PRMU | 2020-12-17 11:00 |
Online | Online | Fast algorithm for low-rank tensor completion in multi-way delay embedded space Ryuki Yamamoto, Tatsuya Yokota (Nagoya Institute of Tech.), Akira Imakura (Univ. of Tsukuba), Hidekata Hontani (Nagoya Institute of Tech.) PRMU2020-42 |
In recent years, low-rank tensor completion using delay embedding has been an important technique. In order to capture s... [more] | PRMU2020-42 pp.24-29 |
| MI | 2020-01-29 10:55 |
Okinawa | OKINAWAKEN SEINENKAIKAN | [Short Paper]
Improvement of a statistical model of human embryonic anatomical landmarks Aoi Shinjo, Atsushi Saito (TUAT), Tetsuya Takakuwa, Shigehito Yamada (KU), Hidekata Hontani, Hiroshi Matsuzoe (NIT), Shoko Miyauchi, Ken'ichi Morooka (QU), Akinobu Shimizu (TUAT) MI2019-71 |
(To be available after the conference date) [more] | MI2019-71 pp.29-30 |
| MI | 2020-01-30 10:00 |
Okinawa | OKINAWAKEN SEINENKAIKAN | Construction of Basis Vectors for Representation of Immunostaining Combination by Non-negative Matrix Decomposition Kaho Ko, Noriaki Hashimoto, Tatsuya Yokota (NITech), Masato Nakaguro, Kei Kohno, Shigeo Nakamura (NUH), Ichiro Takeuchi, Hidekata Hontani (NITech) MI2019-99 |
In this paper, we propose a method that constructs a set of basis vectors for representing combination of immunostaining... [more] | MI2019-99 pp.151-154 |
| MI | 2020-01-30 10:10 |
Okinawa | OKINAWAKEN SEINENKAIKAN | Mutual stain transfer among differently stained pathological images with Extraction of Common Image Features Hideo Adachi, Mauricio Kugler (NIT), Chika Iwamoto, Kenoki Ohuchida, Makoto Hashizume (Kyushu Univ.), Tatsuya Yokota, Hidekata Hontani (NIT) MI2019-100 |
[more] | MI2019-100 pp.155-158 |
| MI | 2020-01-30 11:00 |
Okinawa | OKINAWAKEN SEINENKAIKAN | High precision metal artifacts reduction in X-ray CT images by Deep Image Prior and sinogram normalization Hiroya Satake, Tatsuya Yokota (NIT), Yoshito Otake, Yoshinobu Sato (NAIST), Hidekata Hontani (NIT) MI2019-103 |
In this paper, we propose a method to improve the normalization accuracy of sinogram by using DeepImage Prior to remove ... [more] | MI2019-103 pp.169-174 |
| MI | 2020-01-30 13:25 |
Okinawa | OKINAWAKEN SEINENKAIKAN | Extracting and Visualization of Essential Features for Staining Translation of Pathological Images Ryoichi Koga, Noriaki Hashimoto, Tatsuya Yokota (NIT), Masato Nakaguro, Kei Kohno, Shigeo Nakamura (NUI), Ichiro Takeuchi, Hidekata Hontani (NIT) MI2019-116 |
In this manuscript, we propose a method for stain translation of pathology images. When one constructs a computer aided ... [more] | MI2019-116 pp.215-218 |
| PRMU, MI, IPSJ-CVIM [detail] | 2019-09-04 16:20 |
Okayama | Domain-adversarial multiple instance learning for subtype classification of malignant lymphoma Daisuke Fukushima, Ryoichi Koga, Noriaki Hashimoto, Kaho Ko (Nagoya Inst. of Tech), Masato Nakaguro, Kei Kohno, Shigeo Nakamura (Nagoya Univ. Hospital), Hidekata Hontani (Nagoya Inst of Tech), Ichiro Takeuchi (Nagoya Inst. of Tech/RIKEN/NIMS) PRMU2019-15 MI2019-34 |
We classify subtypes of malignant lymphoma using convolutional neural network with digital pathological images as input ... [more] | PRMU2019-15 MI2019-34 pp.19-24 |
|
| PRMU, MI, IPSJ-CVIM [detail] | 2019-09-05 10:35 |
Okayama | [Short Paper]
Dynamic PET Image Reconstruction using Non-Negative Matrix Decomposition with Deep Image Prior Tomoshige Shimomura, Kazuya Kawai (NIT), Muneyuki Sakata (Tokyo Metro. Inst. Gerontology), Yuichi Kimura (KU), Tatsuya Yokota, Hidekata Hontani (NIT) PRMU2019-24 MI2019-43 |
We present a PET image reconstruction method that can reconstruct dynamic PET images with high SN ratio and can simultan... [more] | PRMU2019-24 MI2019-43 pp.69-70 |
|
| SIP, MI, IE | 2019-05-24 14:25 |
Aichi | Construction of a Multiscale Model of Pancreastic Tumors by Integration of MR and Pathological Images Tomoshige Shimomura, Mauricio Kugler, Tatsuya Yokota (NIT), Chika Iwamoto, Kenoki Ohuchida, Makoto Hashizume (Kyushu Univ.), Hidekata Hontani (NIT) SIP2019-13 IE2019-13 MI2019-13 |
(To be available after the conference date) [more] | SIP2019-13 IE2019-13 MI2019-13 pp.59-60 |
|
| EST | 2019-05-17 15:40 |
Aichi | Nagoya Inst. Tech. | [Invited Talk]
Simulation Data Driven Construction of Real-Time Estimator of Electric Fields Induced in the Brain by Transcranial Magnetic Stimulation Coil Hidekata Hontani, Toyohiro Maki, Tatsuya Yokota (NITech), Illkka Laakso (Aalto Univ.), Akimasa Hirata (NITech) EST2019-7 |
By putting a TMS (Transcranial Magnetic Stimulation) coil on the head, one can electrically stimulate local portions of ... [more] | EST2019-7 p.29 |
| MI | 2019-01-22 15:05 |
Okinawa | [Short Paper]
Study on subtype classification of malignant lymphoma using immunostaining information Noriaki Hashimoto, Kaho Ko, Daisuke Fukushima, Tatsuya Yokota (Nagoya Inst. of Tech.), Masato Nakaguro, Kei Kohno, Shigeo Nakamura (Nagoya Univ. Hospital), Ichiro Takeuchi (Nagoya Inst. of Tech./RIKEN/NIMS), Hidekata Hontani (Nagoya Inst. of Tech.) MI2018-83 |
[more] | MI2018-83 pp.95-96 |
|
| PRMU, MI, IE, SIP | 2018-05-18 09:45 |
Gifu | Large Deformation Diffeomorphic Metric Mapping of 3D Organ Shape and the Statistical Shape Model on Non-Linear Manifold Takuya Hashiguti, Shuntaro Monobe, Hidekata Hontani, Tatsuya Yokota (NIT) SIP2018-7 IE2018-7 PRMU2018-7 MI2018-7 |
In this article，we report on a method that generates a set of corresponding points on the surfaces of target organs in g... [more] | SIP2018-7 IE2018-7 PRMU2018-7 MI2018-7 pp.29-34 |
|
| SIP, EA, SP, MI (Joint) [detail] |
2018-03-19 09:50 |
Okinawa | [Short Paper]
Generating multi-resolution model for microscope pathological images of pancreatic cancer using LAPGAN Tomoshige Shimomura (Nagoya Inst. of Tech.), Tatsuya Yokota, Iwamoto Chika, Kenoki Ohuchida, Makoto Hashizume (Kyushu Univ.), Hidekata Hontani (Nagoya Inst. of Tech.) MI2017-64 |
[more] | MI2017-64 pp.5-6 |
|
| SIP, EA, SP, MI (Joint) [detail] |
2018-03-19 13:40 |
Okinawa | [Short Paper]
Proposal of a spatio-temporal statistical model of generated anatomical landmarks Aoi Shinjo, Atsushi Saito (TUAT), Tetsuya Takakuwa, Shigehito Yamada (Kyoto Univ.), Hiroshi Matsuzoe, Hidekata Hontani (NITech), Akinobu Shimizu (TUAT) MI2017-77 |
(To be available after the conference date) [more] | MI2017-77 pp.41-42 |
|
| SIP, EA, SP, MI (Joint) [detail] |
2018-03-20 10:00 |
Okinawa | Automatic extraction of brachial artery area from an ultrasound image of the upper arm using deep learning Keisuke Sano, Tatsuya Yokota, Kugler Mauricio (NItech), Hidenori Suzuki, Hiroyuki Masuda (UNEX), Hidekata Hontani (NItech) MI2017-87 |
[more] | MI2017-87 pp.71-74 |
|
| MI, MICT | 2017-11-06 14:30 |
Kagawa | Sunport Hall Takamatsu | [Short Paper]
Kazuki Kasahara, Atsushi Saito (TUAT), Tetsuya Takakuwa, Shigehito Yamada (Kyoto Univ.), Hidekata Hontani, Hiroshi Matsuzoe (NITech), Akinobu Shimizu (TUAT) MICT2017-35 MI2017-57 |
(To be available after the conference date) [more] | MICT2017-35 MI2017-57 pp.45-46 |
| MI | 2017-07-07 14:30 |
Miyagi | Tohoku Univ. | [Short Paper]
On Maximum Likelihood Estimation for q-Exponential Family Hidekata Hontani, Naoki Kawamura, Tatsuya Yokota, Hiroshi Matsuzoe (NITech) MI2017-35 |
[more] | MI2017-35 pp.37-38 |
| MI | 2017-07-07 15:00 |
Miyagi | Tohoku Univ. | [Short Paper]
On Statistical Shape Model Obtained from a Conventional Matrix Sparsified by a Graphical LASSO Hidekata Hontani, Hiroshi Ito, Tatsuya Yokota (NITech) MI2017-36 |
[more] | MI2017-36 pp.39-40 |
| MI | 2017-01-18 10:41 |
Okinawa | Tenbusu Naha | [Short Paper]
Super Resolution of MR images via Optimization in Fourier Domain with Low Rank and Smoothness of Image Space Naoki Kawamura, Tatsuya Yokota, Hidekata Hontani (NITech) MI2016-74 |
We use MR images of the same object measured with different magnetic gradient directions in order to construct a MR imag... [more] | MI2016-74 pp.19-20 |
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