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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI | 2024-03-03 09:41 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
A preliminary study on deep causal discovery model for image classification Ryohei Motoda, Megumi Nakao (Kyoto Univ.)  MI2023-33 |
Although saliency map used in image classification can visualize the regions correlated with predicted class, it cannot ... [more] | MI2023-33 pp.11-14 |
| SIP, BioX, IE, MI, ITE-IST, ITE-ME [detail] | 2022-05-20 16:20 |
Kumamoto | Kumamoto University Kurokami Campus (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 | 2021-03-15 13:45 |
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 | 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 | 2020-01-29 10:45 |
Okinawa | OKINAWAKEN SEINENKAIKAN | 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 | 2017-01-18 16:47 |
Okinawa | Tenbusu Naha | Sparse Shape Modeling in Mandibular Reconstruction with Fibular Segments Riho Kawasaki, Megumi Nakao (Kyoto Univ.), Yuichiro Imai (Rakuwakai Otowa Hospital), Nobuhiro Ueda, Toshihide Hatanaka, Mao Shiba, Tadaaki Kirita (Nara Medical Univ.), Tetsuya Matsuda (Kyoto Univ.) MI2016-120 |
Mandibular reconstruction with fibular segments needs preoperative planning for the precise placement of segments. Howev... [more] | MI2016-120 pp.195-200 |
| MI | 2015-11-11 17:15 |
Nara | NAIST | Design of Evaluation Function for Automatic Planning of Mandibular Reconstruction Surgery Shimpei Aso, Megumi Nakao (Kyoto Univ.), Keiho Imanishi (e-Growth), Yuichiro Imai (Rakuwakai Otowa Hospital), Nobuhiro Ueda, Toshihide Hatanaka, Mao Shiba, Tadaaki Kirita (Nara Medical Univ.), Tetsuya Matsuda (Kyoto Univ.) MI2015-71 |
In fibular transfer surgery for mandibular reconstruction, objective decision making and standardization of surgical pro... [more] | MI2015-71 pp.73-78 |
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