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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 56  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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 2023-03-06
13:41
Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)
Comparative study of the Small Intestine segmentation based on 2D and 3D U-Nets
Qin An (Nagoya Univ.), Hirohisa Oda (UoS), SiRui Chen, Yuichiro Hayashi (Nagoya Univ.), Takayuki Kitasaka (Aichi Institute Univ), Hiroo Uchida, Akinari Hinoki (Nagoya Univ.), Kojiro Suzuki (Aichi Medical Univ.), Aitaro Takimoto, Masahiro Oda, Kensaku Mori (Nagoya Univ.) MI2022-82
In this paper, we aim to compare and analyze the small intestine segmentation methods based on U-Net and 3D U-Net. Segme... [more] MI2022-82
pp.46-51
MI 2023-03-06
14:20
Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)
A study on estimation of blood vessel regions from laparoscopic videos using preoperative image information
Keigo Enomoto, Yuichiro Hayashi (Nagoya Univ.), Takayuki Kitasaka (Aichi Institute of Tech.), Masahiro Oda (Nagoya Univ.), Kazunari Misawa (Aichi Cancer Center Hospital), Kensaku Mori (Nagoya Univ./NII) MI2022-85
This paper describes an automatic estimation method of blood vessel regions from laparoscopic videos using preoperative ... [more] MI2022-85
pp.63-68
MI 2023-03-06
16:38
Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)
An Investigation of Effectiveness of Organ Features in Automated Anatomical Labeling Using Graph Neural Networks
Tomoya Deguchi, Yuichiro Hayashi (Nagoya Univ), Takayuki Kitasaka (Aichi Institute of Tech), Masahiro Oda (Nagoya Univ), Kazunari Misawa (Aichi Cancer Center Hospital), Kensaku Mori (Nagoya Univ/NII) MI2022-94
In this study, we investigate important organ features for automated anatomical labeling of abdominal arteries using Gra... [more] MI2022-94
pp.105-110
MI 2023-03-07
17:55
Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)
A centerline-based post-processing for detecting intestinal obstructions in CT volumes
Sirui Chen (Nagoya Univ.), Hirohisa oda (UoS), Qin An, Yuichiro Hayashi (Nagoya Univ.), Takayuki Kitasaka (AIT), Aitaro Takimoto, Akinari Hinoki, Nagoya Univ. (Nagoya Univ.), Kojiro Suzuki (AIC), Masahiro Oda, Kensaku Mori (Nagoya Univ.) MI2022-130
This paper proposes an efficient post-processing method for intestinal obstruction detection in CT volumes. Intestinal o... [more] MI2022-130
pp.223-228
MI 2022-01-26
11:05
Online Online Study on automatic generation of COVID-19 related radiology reports from chest CT images
Shinji Okazaki, Yuichiro Hayashi, Masahiro Oda (Nagoya Univ.), Masahiro Hashimoto, Masahiro Jinzaki (Keio Univ.), Toshiaki Akashi, Shigeki Aoki (Juntendo Univ.), Kensaku Mori (Nagoya Univ./NII) MI2021-57
In this paper, we describe a study on automatic generation of COVID-19 related radiology reports from chest CT images. T... [more] MI2021-57
pp.49-54
MI 2022-01-27
15:22
Online Online Investigation on Blood Vessels Segmentation from Images of Mouse's Cranial Window Based on Deep Learning
Yunheng Wu, Masahiro Oda, Yuichiro Hayashi (Nagoya Univ.), Takanori Takebe (TMDU), Kensaku Mori (Nagoya Univ.) MI2021-84
In this paper, we utilized the U-Net for blood vessels segmentation from stereo microscope images of mouse's cranial win... [more] MI2021-84
pp.174-179
MI 2021-05-17
10:30
Online Online A Study of Automatic Kidney Tumor Segmentation with Deep Learning
Wuyang Zhao, Chen Shen, Masahiro Oda, Yuichiro Hayashi (Nagoya Univ), Naoki Higashida, Masahiro Hashimoto, Masahiro Jinzaki (Keio Univ), Kensaku Mori (Nagoya Univ) MI2021-2
 [more] MI2021-2
pp.3-8
MI 2021-03-17
10:15
Online Online Automatic Segmentation of bleeding from Laparoscopic Video using Cascade CNN
Shota Yamamoto, Yuichiro Hayashi, Shintaro Morimitsu (Nagoya Univ.), Takayuki Kitasaka (Aichi Institute Tech.), Masahiro Oda (Nagoya Univ.), Nobuyoshi Takeshita, Masaaki Ito (NCC East), Kensaku Mori (Nagoya Univ.) MI2020-88
We describe a bleeding region segmentation method using cascade CNN from laparoscopic images. In order to support laparo... [more] MI2020-88
pp.172-175
MI 2021-03-17
10:30
Online Online Study on automated anatomical labeling of abdominal arteries using Spectral-based Convolutional Graph Neural Networks
Yuta Hibi, Yuichiro Hayashi (Nagoya Univ), Takayuki Kitasaka (Aichi Institute of Tech), Hayato Itoh, Masahiro Oda (Nagoya Univ), Kazunari Misawa (Aichi Cancer Center Hospital), Kensaku Mori (Nagoya University/NII) MI2020-89
In this study, we report an automated anatomical labeling method of abdominal arteries using Spectral-based Convolutiona... [more] MI2020-89
pp.176-181
MI 2020-01-29
13:20
Okinawa OKINAWAKEN SEINENKAIKAN Imbalanced Subarachnoid Hemorrhage data automatic detection by using SMOTE algorithm based on deep learning
Zhongyang Lu, Masahiro Oda, Yuichiro Hayashi, Hayato Ito (Nagoya Univ), Takeyuki Watadani, Osamu Abe (Department of Radiology,The Univ of Tokyo Hospital), Masahiro Hashimoto, Masahiro Jinzaki (Department of Radiology,Keio Univ School of Medicine), Kensaku Mori (Nagoya Univ) MI2019-75
Based on deep learning techniques, the performance of image classification has made significant progress. Especially in ... [more] MI2019-75
pp.47-52
MI 2020-01-29
16:20
Okinawa OKINAWAKEN SEINENKAIKAN Surgical tool segmentation from laparoscopic images using laparoscopic image syntheses and deep learning
Takuya Ozawa, Yuichiro Hayashi, Hirohisa Oda, Masahiro Oda (Nagoya Univ.), Takayuki Kitasaka (Aich Ins. of Tech.), Nobuyoshi Takeshita, Masaaki Ito (NCC East), Kensaku Mori (Nagoya Univ.) MI2019-94
This paper proposes a surgical tool segmentation method from laparoscopic images using image synthesis and deep learning... [more] MI2019-94
pp.129-134
MI 2020-01-30
13:25
Okinawa OKINAWAKEN SEINENKAIKAN Bleeding area segmentation from laparoscopic video based on U-Net for laparoscopic surgery support
Shota Yamamoto, Yuichiro Hayashi, Shintaro Morimitsu, Takuya Ozawa (Nagoya Univ.), Takayuki Kitasaka (Aichi Institute of Tech.), Masahiro Oda (Nagoya Univ.), Nobuyoshi Takeshita, Masaaki Ito (Cancer Center), Kensaku Mori (Nagoya Univ.) MI2019-115
This paper reports a bleeding region segmentation method in laparoscopic videos based on U-Net for laparoscopic surgery ... [more] MI2019-115
pp.209-214
MI 2020-01-30
15:30
Okinawa OKINAWAKEN SEINENKAIKAN Electronic bowl cleansing based on CycleGAN and its application to detection of intestinal obstruction part
Kohei Nishio, Hirohisa Oda, Kosuke Chiba (Nagoya Univ.), Takayuki Kitasaka (Aichi Inst. of Tech.), Yuichiro Hayashi, Hayato Itoh, Masahiro Oda, Akinari Hinoki, Hiroo Uchida, Kensaku Mori (Nagoya Univ.) MI2019-122
In this paper, we report a detection method of intestinal obstructions using CycleGAN electronic cleaning from CT volume... [more] MI2019-122
pp.243-248
MI 2020-01-30
15:40
Okinawa OKINAWAKEN SEINENKAIKAN Study on non-rigid registration of clinical chest CT volumes and micro CT volumes of excised lung specimen
Shinya Hatakoshi, Hirohisa Oda, Yuichiro Hayashi, Holger R. Roth, Shouta Nakamura, Masahiro Oda (Nagoya Univ.), Masaki Mori (Sapporo-Kosei General Hosp.), Hirotsugu Takabatake (Sapporo Minami-sanjo Hosp.), Hiroshi Natori (Keiwakai Nishioka Hosp.), Kensaku Mori (Nagoya Univ.) MI2019-123
(To be available after the conference date) [more] MI2019-123
pp.249-254
MI 2019-01-22
15:20
Okinawa   A Study on Automated Lymph Node Matching Method Considering Abdominal Organs Deformation in Follow-up CT Volumes
Tachi Koki, Masahiro Oda, Yuichiro Hayashi, Hayato Itoh (Nagoya Univ.), Yoshihiko Nakamura (TNT), Takayuki Kitasaka (AIT), Kazunari Misawa (ACC), Kensaku Mori (Nagoya Univ.) MI2018-84
In this paper, we report on an automated lymph node matching method considering deformation of abdominal organs in follo... [more] MI2018-84
pp.97-102
MI 2019-01-23
11:40
Okinawa   Influence of group normalization in multi-class organ segmentation of abdominal CT volumes
Chen Shen (Nagoya Univ.), Fausto Milletari, Holger R. Roth (Nvidia), Hirohisa Oda, Masahiro Oda, Yuichiro Hayashi (Nagoya Univ.), Kazunari Misawa (Aichi Cancer Center Hospital), Kensaku Mori (Nagoya Univ.) MI2018-94
Organ segmentation is one of the most important branches of medical image analysis. Fully convolutional networks (FCNs) ... [more] MI2018-94
pp.143-148
MI 2019-01-23
14:00
Okinawa   Study on Automated Labeling of Abdominal Arteries Using Machine Learning with Data Augmentation
Yusuke Tetsumura, Yuichiro Hayashi, Masahiro Oda (Nagoya Univ), Takayuki Kitasaka (AIT), Kazunari Misawa (ACC), Kensaku Mori (Nagoya Univ) MI2018-106
In this paper, we improve automated anatomical labeling accuracy for the abdominal arteries by introducing data augmenta... [more] MI2018-106
pp.191-196
MICT, MI 2018-11-06
11:00
Hyogo University of Hyogo Investigation on the condition of using adjacent reconstruction in visual bronchoscope tracking
Cheng Wang, Masahiro Oda, Yuichiro Hayashi (Nagoya Univ.), Takayuki Kitasaka (Aichi Inst. Univ.), Hirotoshi Honma (Sapporo Kosei General Hosp.), Hirotsugu Takabatake (Sapporo Minami Sanjo Hosp.), Masaki Mori (Sapporo Kosei General Hosp.), Hiroshi Natori (Keiwakai Nishioka Hosp.), Kensaku Mori (Nagoya Univ.) MICT2018-43 MI2018-43
This paper reports the condition of using adjacent reconstruction during SLAM-based visual bronchoscope tracking. Visual... [more] MICT2018-43 MI2018-43
pp.27-32
MI 2018-07-24
11:05
Iwate aiina (Morioka, Iwate) Investigation of extracting interlobular septa with Radial Structure Tensor (RST) in micro-CT images
Xiaotian Zhao, Holger R. Roth, Shota Nakamura, Hirohisa Oda, Yuichiro Hayashi, Takayasu Moriya, Kai Nagara, Masahiro Oda, Kensaku Mori (Nagoya Univ.) MI2018-24
With the advent of Micro-CT, it is expected that the three-dimensional microstructure analyses of the vital specimen may... [more] MI2018-24
pp.11-16
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