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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 22  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
SANE 2023-08-18
13:00
Hokkaido  
(Primary: On-site, Secondary: Online)
Analysis of Radar Cross-Section for Chaff Cloud Consisting of Rectangular Metal Piece etc.
Hirokazu Kobayashi (Electromagnetic Wave System Lab.), Yousuke Aoi, Hirohisa Oda (SOGO) SANE2023-40
Traditionally, many chaff clouds use long and thin aluminum rectangular pieces. The volume of the cloud is electrically ... [more] SANE2023-40
pp.35-40
SANE 2023-05-23
15:40
Kanagawa Information Technology R & D Center, MITSUBISHI Electric Corp.
(Primary: On-site, Secondary: Online)
Radar Cross-Section of Point Source Groups Envisaging Chaff Clouds Using Near-Field to Far-Field Transformation
Hirokazu Kobayashi (Electromagnetic Wave System Lab.), Yousuke Aoi, Hirohisa Oda (SOGO) SANE2023-13
A theoretical study for the radar cross sections (RCS) of chaff clouds is discussed using a software code that incorpora... [more] SANE2023-13
pp.72-77
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), Aitaro Takimoto, Akinari Hinoki, Hiroo Uchida (Nagoya Univ.), Kojiro Suzuki (Aichi Medical Univ.), 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 2023-03-07
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
SANE 2022-12-16
09:35
Nagasaki Nagasaki Public Hall
(Primary: On-site, Secondary: Online)
Radar Target Modeling by Employing Directional Point Source
Hirokazu Kobayashi (Electromagnetic Wave System Lab.), Hirohisa Oda (SOGO) SANE2022-76
Electromagnetic scattering analysis using the point source is the most useful and simple method to evaluate radar perfor... [more] SANE2022-76
pp.68-73
SANE 2022-08-18
15:30
Hokkaido  
(Primary: On-site, Secondary: Online)
A Study for Radar Clutter through Point Source Model
Hirokazu Kobayashi (Electromagnetic Wave System Lab.), Hirohisa Oda (SOGO) SANE2022-38
Radar clutter is defined as unwanted backscatter signals generated from objects in the natural environment such as groun... [more] SANE2022-38
pp.26-31
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
MI 2020-09-03
09:30
Online Online Segmentation of Layer Structure of Stomach Wall and Tumor from MicroCT volumes Using Neural Network and Spherical K-means
Midori Mitarai, Hirohisa Oda, Takaaki Sugino, Takayasu Moriya, Hayato Itoh, Masahiro Oda, Takuma Komiyama, Kazuhiro Furukawa, Ryoji Miyahara, Mitsuhiro Fujishiro (Nagoya Univ.), Masaki Mori (Sapporo-Kosei General Hospital), Hirotsugu Takabatake (Sapporo Minami-sanjo Hospital), Hiroshi Natori (Keiwakai Nishioka Hospital), Kensaku Mori (Nagoya Univ.) MI2020-17
This paper reports a segmentation method of the layered structure of the stomach wall and tumor from μCT volumes using f... [more] MI2020-17
pp.1-6
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
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
10:05
Okinawa   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
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 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
MI, MICT 2017-11-06
10:40
Kagawa Sunport Hall Takamatsu On the influence of Dice loss function in multi-class organ segmentation of abdominal CT using 3D fully convolutional networks
Chen Shen, Holger R. Roth, Hirohisa Oda, Masahiro Oda, Yuichiro Hayashi (Nagoya Univ.), Kazunari Misawa (Aichi Cancer Central Center Hospital), Kensaku Mori (Nagoya Univ.) MICT2017-29 MI2017-51
Deep learning-based methods achieved impressive results in segmentations from medical images. With the development of 3D... [more] MICT2017-29 MI2017-51
pp.15-20
MI 2017-01-18
14:15
Okinawa Tenbusu Naha GPU Programming for MIST Library
Hirohisa Oda, Masahiro Oda (Nagoya Univ.), Takayuki Kitasaka (Aichi. Inst. Tech.), Kensaku Mori (Nagoya Univ.) MI2016-106
In recent years, there is a trend toward the development of high-speed computation techniques due to the improvement in ... [more] MI2016-106
pp.133-136
MI 2017-01-18
16:35
Okinawa Tenbusu Naha Deep-Learning-Based Segmentation for the Head Sectioned Images of the Visible Korean Project
Mohammad Eshghi, Holger R. Roth, Hirohisa Oda, Masahiro Oda (Nagoya Univ.), Min Suk Chung (Ajou Univ.), Kensaku Mori (Nagoya Univ.) MI2016-119
This paper presents the first end-to-end pixelwise fully automated segmentation of the head sectioned images of the Visi... [more] MI2016-119
pp.191-194
MI 2015-11-11
10:20
Nara NAIST A study on fiber orientation tracking from micro CT volumes
Hirohisa Oda, Masahiro Oda (Nagoya Univ.), Takayuki Kitasaka (Aichi Inst. of Tech.), Toshiaki Akita (Kanazawa Med. Univ.), Kensaku Mori (Nagoya Univ.) MI2015-59
In this paper, we discuss a method for fiber tracking from micro CT volumes by using structure tensor analysis. In the p... [more] MI2015-59
pp.9-14
MI 2014-01-26
13:30
Okinawa Bunka Tenbusu Kan A preliminary study of marker-free registration using multiple sensors in bronchoscope navigation
Yang Dong, Hirohisa Oda, Yukitaka Nimura, Masahiro Oda (Nagoya Univ), Takayuki Kitasaka (Aichi Inst. of Tech.), Hirotoshi Honma (Sapporo-Kosei General Hospital), Hirotsugu Takabatake (Sapporo Minami-sanjo Hospital), Masaki Mori (Sapporo-Kosei General Hospital), Hiroshi Natori (Keiwakai Nishioka Hospital), Kensaku Mori (Nagoya Univ) MI2013-76
 [more] MI2013-76
pp.109-114
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