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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SIP, BioX, IE, MI, ITE-IST, ITE-ME [detail] | 2022-05-20 16:00 |
Kumamoto | Kumamoto University Kurokami Campus (Kumamoto, Online) (Primary: On-site, Secondary: Online) |
Application of LambdaNetwork learning long-range interactions between pixels to metal artifact detection Daisuke Shigemori, Megumi Nakao, Tetsuya Matsuda (Kyoto Univ.)  SIP2022-27 BioX2022-27 IE2022-27 MI2022-27 |
Although deep learning-based image transformation has been attempted to be applied to metal artifact reduction, feature ... [more] | SIP2022-27 BioX2022-27 IE2022-27 MI2022-27 pp.138-143 |
| SIP, BioX, IE, MI, ITE-IST, ITE-ME [detail] | 2022-05-20 16:20 |
Kumamoto | Kumamoto University Kurokami Campus (Kumamoto, Online) (Primary: On-site, Secondary: Online) |
Visualization of Important Features for Classifier Decisions using Deep Image Synthesis Yushi Haku, Megumi Nakao, Tetsuya Matsuda (Kyoto Univ.) SIP2022-28 BioX2022-28 IE2022-28 MI2022-28 |
It is difficult to know the basis for the decisions of machine learning models, and it is necessary to provide a highly ... [more] | SIP2022-28 BioX2022-28 IE2022-28 MI2022-28 pp.144-149 |
| MI | 2022-01-26 13:39 |
Online | Online (Online) | Deep Learning based 2D/3D deformable Image Registration for Abdominal Organs Ryuto Miura, Megumi Nakao, Mitsuhiro Nakamura, Tetsuya Matsuda (Kyoto Univ.) MI2021-62 |
2D/3D image registration is a problem that solves the deformation and alignment of a pre-treatment 3D image to a 2D proj... [more] | MI2021-62 pp.70-75 |
| MI, MICT [detail] | 2021-11-05 09:00 |
Online | Online (Online) | Deformable model registration for a single projection image by learning displacement fields Megumi Nakao, Mitsuhiro Nakamura, Tetsuya Matsuda (Kyoto Univ.) MICT2021-27 MI2021-25 |
(To be available after the conference date) [more] | MICT2021-27 MI2021-25 pp.1-6 |
| MI, MICT [detail] | 2021-11-05 09:20 |
Online | Online (Online) | Force estimation in forceps manipulation of ex-vivo organs from a single-viewpoint camera image Hikaru Toda, Megumi Nakao, Kimihiko Masui, Naoto Kume, Tetsuya Matsuda (Kyoto Univ.) MICT2021-28 MI2021-26 |
In laparoscopic surgery including robotic surgery, it is not possible to accurately measure the contact force applied to... [more] | MICT2021-28 MI2021-26 pp.7-12 |
| MI | 2021-03-15 13:45 |
Online | Online (Online) | Surgical planning model generation by extracting important feature sets in mandibular reconstruction Kazuki Nagai, Megumi Nakao (Kyoto Univ.), Nobuhiro Ueda (Nara Medical Univ.), Yuichiro Imai (Rakuwakai Otowa Hospital), Toshihide Hatanaka, Tadaaki Kirita (Nara Medical Univ.), Tetsuya Matsuda (Kyoto Univ.) MI2020-54 |
Because implicit medical knowledge and experience are used to perform medical treatment, such decisions must be clarifie... [more] | MI2020-54 pp.29-34 |
| MI | 2021-03-15 14:00 |
Online | Online (Online) | Analysis of important features in surgical planning for mandibular reconstruction among multiple surgeons Yusuke Hatakeyama, Kazuki Nagai, Megumi Nakao, Tetsuya Matsuda (Kyoto Univ.) MI2020-55 |
Surgeons perform surgical treatment by considering the facilities and policies of medical institutions and their own exp... [more] | MI2020-55 pp.35-40 |
| MI | 2021-03-16 14:00 |
Online | Online (Online) | Deformable mesh registration of partial lung shapes based on learning of pneumothorax deformation Hinako Maekawa, Megumi Nakao (Kyoto Univ.), Katsutaka Mineura (Kyoto Univ. Hospital), Toyofumi F. Chen-Yoshikawa (Nagoya Univ. Hospital), Tetsuya Matsuda (Kyoto Univ.) MI2020-74 |
Intraoperative pneumothorax is accompanied by large deformation including rotation. As intraoperative cone-beam CT (CBCT... [more] | MI2020-74 pp.112-117 |
| MI | 2020-09-03 10:00 |
Online | Online (Online) | Lung region segmentation of thoracoscopic image with unsupervised image translation Jumpei Nitta, Megumi Nakao (Kyoto Univ.), Keiho Imanishi (e-Growth Co. Ltd.), Tetsuya Matsuda (Kyoto Univ.) MI2020-19 |
In endoscopic surgery, it is necessary to understand the three-dimensional structure of the target region to improve saf... [more] | MI2020-19 pp.13-18 |
| MI | 2020-09-03 14:10 |
Online | Online (Online) | Reconstruction of 3D Organ Shape from a Single X-ray Image using Graph Convolutional Network Fei Tong, Megumi Nakao (Kyoto Univ.), Shuqiong Wu (Osaka Univ.), Mitsuhiro Nakamura, Tetsuya Matsuda (Kyoto Univ.) MI2020-28 |
[more] | MI2020-28 pp.45-50 |
| MI | 2020-09-03 14:25 |
Online | Online (Online) | Proposal of 3D Generative Adversarial Network for Improving Image Ouality of Cone-Beam CT Images Takumi Hase, Megumi Nakao (Kyoto Univ.), Keoho Imanishi (e-Growth Co., Ltd), Mitsuhiro Nakamura, Tetsuya Matsuda (Kyoto Univ.) MI2020-29 |
Artifacts and defects included in Cone-beam CT (CBCT) images have become an obstacle in radiation therapy and surgery su... [more] | MI2020-29 pp.51-56 |
| MI | 2020-09-03 14:40 |
Online | Online (Online) | Analysis of pneumothorax deformation for in vivo animal lungs using model-based registration Kotaro Kobayashi, Megumi Nakao, Junko Tokuno (Kyoto Univ.), Toyofumi F Chen-Yoshikawa (Nagoya Univ.), Tetsuya Matsuda (Kyoto Univ.) MI2020-30 |
(To be available after the conference date) [more] | MI2020-30 pp.57-62 |
| NC, MBE (Joint) |
2020-03-06 14:15 |
Tokyo | University of Electro Communications (Tokyo) (Cancelled but technical report was issued) |
Identification of pick and grasp manipulation based on fingertip force and velocity Tatsuya Yamashita, Megumi Nakao, Tetsuya Matsuda (Kyoto Univ.) MBE2019-98 |
Finger manipulation plays an important role in daily life, and the importance of its analysis is increasing in a variety... [more] | MBE2019-98 pp.91-96 |
| MI | 2020-01-29 10:45 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Okinawa) | Proposal of Extraction Method of Important Features in Surgical Planning for Mandibular Reconstruction Kazuki Nagai, Megumi Nakao (Kyoto Univ.), Nobuhiro Ueda (Nara Medical Univ.), Yuichiro Imai (Rakuwakai Otowa Hospital), Tadaaki Kirita (Nara Medical Univ.), Tetsuya Matsuda (Kyoto Univ.) MI2019-70 |
As implicit medical knowledge and experience are used to perform medical treatment, clarification of decision making is ... [more] | MI2019-70 pp.23-28 |
| MI | 2020-01-29 11:05 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Okinawa) | A preliminary study on deformation analysis of collapsed lung using intraoperative CBCT images Hinako Maekawa, Megumi Nakao (Kyoto Univ.), Katsutaka Mineura (Kyoto Univ. Hospital), Toyofumi F Chen-Yoshikawa (Nagoya Univ. Hospital), Tetsuya Matsuda (Kyoto Univ.) MI2019-72 |
[more] | MI2019-72 pp.31-36 |
| MI | 2020-01-30 10:40 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Okinawa) | Evaluation of 3D adversarial networks for metallic dental artifact reduction Megumi Nakao (Kyoto Univ.), Keiho Imanishi (e-Growth), Nobuhiro Ueda (Nara Medical Univ.), Yuichiro Imai (Otowa Hosp.), Tadaaki Kirita (Nara Medical Univ.), Tetsuya Matsuda (Kyoto Univ.) MI2019-101 |
(To be available after the conference date) [more] | MI2019-101 pp.159-164 |
| PRMU, MI, IPSJ-CVIM [detail] | 2019-09-04 15:55 |
Okayama | (Okayama) | Analysis of pneumothorax deformation for in vivo animal lungs using model-based registration Kotaro Kobayashi, Megumi Nakao (Kyoto Univ.), Junko Tokuno, Toyofumi F. Chen-Yoshikawa, Hiroshi Date (Kyoto Univ. Hospital), Tetsuya Matsuda (Kyoto Univ.) PRMU2019-17 MI2019-36 |
[more] | PRMU2019-17 MI2019-36 pp.31-36 |
| PRMU, MI, IPSJ-CVIM [detail] | 2019-09-05 10:20 |
Okayama | (Okayama) | Metal artifact reduction using CycleGAN for CT images Megumi Nakao (Kyoto Univ.), Kieho Imanishi (e-Grwoth), Nobuhiro Ueda (Nara Med.), Yuichiro Imai (Otowa Hosp.), Tadaaki Kirita (Nara Med.), Tetsuya Matsuda (Kyoto Univ.) PRMU2019-23 MI2019-42 |
(To be available after the conference date) [more] | PRMU2019-23 MI2019-42 pp.63-68 |
| SIP, MI, IE | 2019-05-24 14:00 |
Aichi | (Aichi) | Analysis of deaeration deformation for ex vivo animal lung Kotaro Kobayashi, Megumi Nakao, Junko Tokuno, Toyofumi F. Chen-Yoshikawa, Hiroshi Date, Tetsuya Matsuda (Kyoto Univ.) SIP2019-12 IE2019-12 MI2019-12 |
Recent advance of imaging techniques enables to visualize minute lung nodules in the early stage cancer. Although lung n... [more] | SIP2019-12 IE2019-12 MI2019-12 pp.53-58 |
| NC, MBE (Joint) |
2019-03-04 16:10 |
Tokyo | University of Electro Communications (Tokyo) | Relational analysis on contact force of multiple fingers during grasping object Hideki Shimobayashi, Megumi Nakao, Tetsuya Matsuda (Kyoto Univ.) MBE2018-92 |
Among human-object interactions, it is important to understand how to grasp objects by human hand. Many researchers trie... [more] | MBE2018-92 pp.37-42 |
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