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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI | 2022-07-08 16:20 |
Hokkaido | (Primary: On-site, Secondary: Online) |
[Short Paper]
Multi-phase CT Image Segmentation with Single-Phase Annotation Using Adversarial Unsupervised Domain Adaptation Swathi Ananda, Yutaro Iwamoto (Ritsumeikan Univ.), Xianhua HAN (Yamaguchi Univ.), Lanfen Lin, Hongjie Hu (Zhejiang Univ.), Yen-Wei Chen (Ritsumeikan Univ.)  MI2022-38 |
Multi-phase computed tomography (CT) images are widely used for the diagnosis of liver disease, since different phase ha... [more] | MI2022-38 pp.24-25 |
| SIP, BioX, IE, MI, ITE-IST, ITE-ME [detail] | 2022-05-20 16:40 |
Kumamoto | Kumamoto University Kurokami Campus (Primary: On-site, Secondary: Online) |
3D Medical Image Segmentation Using 2.5D Deformable Convolutional CNN Yuya Okumura, Kudo Hiroyuki, Takizawa Hotaka (Tsukuba Univ.) SIP2022-29 BioX2022-29 IE2022-29 MI2022-29 |
An effective method to improve the accuracy of 3D medical image segmentation using deep learning is to use deformable co... [more] | SIP2022-29 BioX2022-29 IE2022-29 MI2022-29 pp.150-155 |
| PRMU, IPSJ-CVIM | 2022-03-10 09:00 |
Online | Online | Deep Cascade Road Extraction Network: a Multi-task Method for Road Extraction Yubo Wang (Waseda Univ.), Zhao Wang, Yuusuke Nakano, Ken Nishimatsu (NTT), Katsuya Hasegawa (JAXA), Jun Ohya (Waseda Univ.) PRMU2021-60 |
In this work, we present an end-to-end cascade neural network model called Deep Cascade Road Extraction Network to extra... [more] | PRMU2021-60 pp.1-6 |
| LOIS | 2022-03-03 16:15 |
Online | Online | A Study on Automatic Segmentation Method for Plant Specimen Images Using U-Net Depeng Zhang, Yasuhiko Higaki, Yasuo Sugai (Chiba Univ.) LOIS2021-47 |
the image processing required to digitize images of plant specimens. Digitized images of plant specimens are very divers... [more] | LOIS2021-47 pp.45-50 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-21 15:35 |
Online | Online | Liver Tumor Segmentation by Using a Massive-Training Artificial Neural Network (MTANN) and its Analysis in Liver CT. Yuqiao Yang, Muneyuki Sato, Ze Jin, Kenji Suzuki (Tokyo Tech) ITS2021-33 IE2021-42 |
Based on a 3D massive-training artificial neural network (MTANN) combined with a Hessian-based ellipse enhancer, a small... [more] | ITS2021-33 IE2021-42 pp.49-54 |
| MI | 2022-01-26 14:05 |
Online | Online | [Short Paper]
Joint Learning for Multi-Phase CT Image Registration and Automatic Recognition of Anatomical Structures Based on a Deep Neural Network Ryotaro Fuwa, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2021-64 |
Computer-aided diagnosis (CAD) systems require image registration and automatic recognition of anatomical structures on ... [more] | MI2021-64 pp.82-85 |
| 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 |
| SR | 2022-01-25 13:25 |
Online | Online | [Short Paper]
AI image analysis by drones on the sky Keita Endo (NIT), Tomotaka Kimura (Doshisha Univ.), Nobuhiko Itoh, Takefumi Hiraguri (NIT) SR2021-77 |
Smart agriculture has been garnering attention to improve the efficiency of agricultural works. For example, advanced te... [more] | SR2021-77 pp.93-95 |
| PRMU | 2021-12-16 15:10 |
Online | Online | Neural Network-based Local Feature Descriptors for Matching Excavated Mokkan Fragments of Various Sizes Trung Tan Ngo, Hung Tuan Nguyen, Masaki Nakagawa (TUAT) PRMU2021-33 |
This paper presents a method to predict whether two excavated Mokkan fragments of various sizes are from the same tablet... [more] | PRMU2021-33 pp.51-56 |
| MI, MICT [detail] | 2021-11-05 10:45 |
Online | Online | [Short Paper]
A Method for Extracting and Visualizing Calcified Areas from Coronary OCT Images. Ryo Oikawa, Toru Kato, Akio Doi (Iwate Prefectural Univ.), Masaru Ishida (Iwate Medical Univ.) MICT2021-32 MI2021-30 |
Optical coherence tomography (OCT) has been widely used to diagnose calcified areas in coronary arteries in the last dec... [more] | MICT2021-32 MI2021-30 pp.22-25 |
| MIKA (3rd) |
2021-10-28 10:30 |
Okinawa | (Primary: On-site, Secondary: Online) |
[Poster Presentation]
AI image analysis using drones from the sky Keita Endo (NIT), Tomotaka Kimura (Doshisha Univ.), Nobuhiko Itoh, Takefumi Hiraguri (NIT) |
Smart agriculture has been garnering attention to improve the efficiency of agricultural works. For example, advanced te... [more] | |
| MI | 2021-07-08 14:30 |
Online | Online | Extraction of Calcified Regions from OCT Images Using Deep Learning Ryo Oikawa, Toru Kato, Akio Doi, Basabi Chakraborty (Iwate Prefectural Univ.), Masaru Ishida (Iwate Medical Univ.) MI2021-12 |
Stenosis or occlusion of coronary arteries leads to angina attacks and myocardial infarctions, and coronary artery disea... [more] | MI2021-12 pp.15-19 |
| MI | 2021-05-17 10:00 |
Online | Online | [Short Paper]
Regression of Induced Electric Field for TMS by using Neural Network and Governing Equation Toyohiro Maki (NITech), Yoshikazu Ugawa, Takenobu Murakami (Fukushima Medical Univ.), Tatsuya Yokota, Akimasa Hirata, Hidekata Hontani (NITech) MI2021-1 |
TMS (Transcranial Magnetic Stimulation) is a method which stimulate the neurons in the brain by using a coil. Since stim... [more] | MI2021-1 pp.1-2 |
| MI | 2021-05-17 15:10 |
Online | Online | [Short Paper]
Fundamental study of automatic segmentation of skeletal muscle regions on whole body CT images based on a 3D DeepCNN Kota Nozaki, Xiangong Zhou (Gifu Univ.), Naoki Kamiya (Aichi Prefectual Univ.), Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2021-7 |
Amyotrophic lateral sclerosis (ALS) is an intractable disease in which voluntary muscles atrophy gradully due to degener... [more] | MI2021-7 pp.20-22 |
| EMM | 2021-03-04 13:30 |
Online | Online | [Poster Presentation]
Object Boundary Correction for Monocular Depth Estimation Using Region Segmentation Ikuma Yasukawa, Shoko Imaizumi (Chiba Univ.) EMM2020-67 |
We propose a new method to generate high-quality depth images in this paper. The proposed method corrects object boundar... [more] | EMM2020-67 pp.1-6 |
| PRMU, IPSJ-CVIM | 2021-03-04 15:50 |
Online | Online | Automated Segmentation of Left Ventirular Wall and Extraction of Left Ventricular Cavity in Echocardiographic Images by Deep Learning Kai Wang, JiWei Zhang (Wakayama Univ.), Takeshi Hozumi (Wakayama Medical Univ.), HaiYuan Wu (Wakayama Univ.) PRMU2020-79 |
In order to interpret cardiac function using echocardiographic images, it requires a great deal of skill. To construct o... [more] | PRMU2020-79 pp.59-64 |
| PRMU, IPSJ-CVIM | 2021-03-04 16:05 |
Online | Online | Media detection from cardiovascular OCT images based on deep learning jiwei zhang, kai wang (wakayama univ), Takashi Kubo (Wakayama Medical Univ), haiyuan wu (wakayama univ) PRMU2020-80 |
Medical image segmentation is an important issue in determining whether medical images can provide reliable evidence in ... [more] | PRMU2020-80 pp.65-70 |
| MVE, IMQ, IE, CQ (Joint) [detail] |
2021-03-03 09:20 |
Online | Online | Study of Environment Recognition and 3D Map Generation Using SegNet for Night Forest Monitoring Using an Environmental Monitoring Robot Takeo Kaneko (WASEDA Univ.), Junji Yamato (Kogakuin Univ.), Hiroyuki Ishii, Jun Ohya, Atuo Takanishi (WASEDA Univ.) IMQ2020-29 IE2020-69 MVE2020-61 |
Towards the actualization of autonomous robots that monitor forests, around which various kinds of damages caused by wil... [more] | IMQ2020-29 IE2020-69 MVE2020-61 pp.91-96 |
| MI | 2020-09-03 10:00 |
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 11:00 |
Online | Online | [Short Paper]
Quantitative analysis of epicardial adipose tissue by two-stage segmentation network and its system development Takayuiki Nagata, Yutaro Iwamoto, Zhao Ziyu (Ritsumeikan Univ), Yuji Tezuka, Hiroki Okada, Kiyosumi Maeda, Atsuyuki Wada, Atsunori Kashiwagi (Kusatsu General Hospital), Yen-Wei Chen (Ritsumeikan Univ) MI2020-23 |
Diabetes is thought to lead to vascular disease and arteriosclerosis, and there is a need for early detection and treatm... [more] | MI2020-23 pp.27-30 |
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