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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
MI |
2024-03-04 12:52 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Uncertainty-Boosted COVID-19 Lesion Segmentation Method from Chest CT Images Tianyu Yang, Masahiro Oda, Tong Zheng, Yuichiro Hayashi, Kensaku Mori (Nagoya Univ) MI2023-74 |
The spread of COVID-19 pandemic has severely threatened global health in recent years. Deep learning based method for CO... [more] |
MI2023-74 pp.137-140 |
MI |
2024-03-04 13:16 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Alveoli segmentation from lung micro-focus X-ray CT volumes using 2D U-Net based on sheet-like structure Daisuke Fukai (Nagoya Univ), Hirohisa Oda (University of Shizuoka), Yuichiro Hayashi, Tong Zheng, Shota Nakamura, Masahiro Oda, Kensaku Mori (Nagoya Univ) MI2023-76 |
This paper describes methods for segmenting the alveoli from micro-focus X-ray CT volumes of the lung.
Micro-CT volumes... [more] |
MI2023-76 pp.145-148 |
MI |
2023-03-06 13:28 |
Okinawa |
OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Segmentation of Infected Regions from Chest CT Scans of COVID-19 Cases using Average Template Kai Liu, Masahiro Oda, Tong Zheng, Yuichiro Hayashi (Nagoya Univ.), Yoshito Otake (NAIST), Masahiro Hashimoto (Keio Univ.), Toshiaki Akashi, Shigeki Aoki (Juntendo Univ.), Kensaku Mori (Nagoya Univ.) MI2022-81 |
[more] |
MI2022-81 pp.40-45 |
MI |
2021-05-17 11:00 |
Online |
Online |
[Short Paper]
Watershed-based Alveoli Segmentation from Micro-focus X-ray CT Volumes of Dissected Human Lungs Takeru Shiina, Hirohisa Oda, Tong Zheng, Shota Nakamura, Masahiro Oda, Kensaku Mori (Nagoya Univ.) MI2021-3 |
We propose a segmentation method of the alveoli from μCT volumes. The peripheral lung mainly consists of tiny spherical ... [more] |
MI2021-3 pp.9-10 |
SIP, MI, IE |
2019-05-24 15:15 |
Aichi |
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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 10:05 |
Okinawa |
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Super-resolution of μCT image about dissected lung tissue using Adversarial Dense U-net Tong Zheng, Hirohisa Oda, Holger R. Roth, Masahiro Oda, Shota Nakamura (Nagoya University), Kensaku Mori (Nagoya University/NII) MI2018-61 |
μCT images capture three dimensional structures of tissues with a very high resolution of 100 micrometer or smaller. fin... [more] |
MI2018-61 pp.7-12 |
ICD, ITE-CE |
2006-01-26 16:10 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Footless Dual-Rail Domino Circuit with Self-Timed Preharge Scheme in SOI Technology KinHooi Dia, Ruotong Zheng, Makoto Ikeda, Kunihiro Asada (Univ. of Tokyo) |
This paper presents a new footless dual-rail domino circuit that efficiently combines a footless dynamic circuit techniq... [more] |
ICD2005-213 pp.47-51 |
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