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Technical Committee on Medical Imaging (MI)  (Searched in: 2022)

Search Results: Keywords 'from:2022-07-08 to:2022-07-08'

[Go to Official MI Homepage (Japanese)] 
Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Ascending)
 Results 1 - 18 of 18  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2022-07-08
14:00
Hokkaido
(Primary: On-site, Secondary: Online)
Cell type-specific tumor degree estimation in malignant lymphoma pathology images
Hiroki Masuda (NITech), Noriaki Hashimoto (RIKEN), Yusuke Takagi (NITech), Hiroyuki Hanada (RIKEN), Hiroaki Miyoshi, Kensaku Sato, Koichi Oshima (Kurume Univ.), Hidekata Hontani (NITech), Ichiro Takeuchi (Nagoya Univ./RIKEN) MI2022-32
In the pathological diagnosis flow of malignant lymphoma, a type of blood cancer, it is important to identify the type o... [more] MI2022-32
pp.1-6
MI 2022-07-08
14:20
Hokkaido
(Primary: On-site, Secondary: Online)
Pathological Image Classification Using Convolutional Neural Networks and the Effects of Learning Rate Scheduling and SAM
Futa Tanaka (Gifu Univ.), Shintaro Sukegawa, Katsusuke Yamashita, Takeshi Hara, Xiangrong Zhou (Gifu Univ.) MI2022-33
 [more] MI2022-33
pp.7-9
MI 2022-07-08
14:40
Hokkaido
(Primary: On-site, Secondary: Online)
[Short Paper] Automatic Cell Tracking in 4D Arabidopsis Root Microscopic Images Using Genetic Algorithm
Yu Song, Yutaro Iwamoto (Ritsumeikan Univ.), Tatsuaki Goh (NAIST), Yohei Kondo (ExCELLS), Keiji Nakajima (NAIST), Yen-wei Chen (Ritsumeikan Univ.) MI2022-34
Single-particle tracking (SPT) is a crucial progress to discover unknown principles of plants. Through accurate tracking... [more] MI2022-34
pp.10-15
MI 2022-07-08
15:00
Hokkaido
(Primary: On-site, Secondary: Online)
MI2022-35 (To be available after the conference date) [more] MI2022-35
pp.16-17
MI 2022-07-08
15:20
Hokkaido
(Primary: On-site, Secondary: Online)
Performance Evaluation and Elucidation of the Applicable Conditions of Imaging Assistance Method based on Frame Interpolation Using U-Net in 2D Heart Echocardiography
Takeshita Ryo, Hara Takeshi, Fukuoka Daisuke, Watanabe Takatomo, Sahashi Yuki, Zhou Xiangrong, Fujita Hiroshi, Okura Hiroyuki (Gifu Univ) MI2022-36
 [more] MI2022-36
pp.18-21
MI 2022-07-08
16:00
Hokkaido
(Primary: On-site, Secondary: Online)
[Short Paper] Unsupervised Domain Adaptation for Liver Tumor Detection in Multi-Phase CT images Using Adversarial Learning with Maximum Square Loss
Rahul Kumar Jain (Ritsumeikan Univ.), Takahiro Sato, Taro Watasue, Tomohiro Nakagawa (tiwaki), Yutaro Iwamoto (Ritsumeikan Univ.), Xianhua Han (Yamaguchi Univ.), Lanfen Lin, Hongjie Hu (Zhejiang Univ.), Yen-Wei Chen (Ritsumeikan Univ.) MI2022-37
Liver tumor detection in multi-phase CT images is essential in computer-aided diagnosis. Deep learning has been widely ... [more] MI2022-37
pp.22-23
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
MI 2022-07-08
16:40
Hokkaido
(Primary: On-site, Secondary: Online)
[Short Paper] Deep Learning-based Risk Prediction Model for Disease-free Survival in Patients with Hepatocellular Carcinoma Using Multi-phase CT Image
Weibin Wang (Ristumeikan Univ.), Fang Wang (Zhejiang Univ.), Yunjun Yang (Wenzhou Medical Univ.), Yinhao Li (Ristumeikan Univ.), Xianhua Han (Yamaguchi Univ.), Lanfen Lin, Ruofeng Tong, Hongjie Hu (Zhejiang Univ.), Yen-wei Chen (Ristumeikan Univ.) MI2022-39
 [more] MI2022-39
pp.26-29
MI 2022-07-08
17:00
Hokkaido
(Primary: On-site, Secondary: Online)
[Short Paper] Weakly-Supervised Focal Liver Lesion Detection in CT Images
He Li, Yutaro Iwamoto (Ritsumeikan Univ.), Xianhua Han (Yamaguchi Univ.), Lanfen Lin, Ruofeng Tong, Hongjie Hu (Zhejiang Univ.), Akira Furukawa (Tokyo Metropolitan Univ.), Shuzo Kanasaki (Koseikai Takeda Hospital), Yen-Wei Chen (Ritsumeikan Univ.) MI2022-40
Convolutional neural networks have been widely used for anomaly detection and one of their most common methods is autoen... [more] MI2022-40
pp.30-33
MI 2022-07-09
10:30
Hokkaido
(Primary: On-site, Secondary: Online)
Non-rigid registration method for longitudinal chest CT images in Covid-19
Yuma Iwao (QST), Naoko Kawata, Yuki Segiguchi, Hideaki Haneishi (Chiba Univ) MI2022-41
In time series analysis of the lungs, a non-rigid registration method that compensates for differences in respiratory st... [more] MI2022-41
pp.34-38
MI 2022-07-09
10:50
Hokkaido
(Primary: On-site, Secondary: Online)
Development of a prognosis prediction for Covid-19 using deep learning
Yuma Iwao (QST), Naoko Kawata, Yuki Sekiguchi, Hideaki Haneishi (Chiba Univ) MI2022-42
Many studies have been reported on the prediction of COVID-19 severity using deep learning. However, most of them predic... [more] MI2022-42
pp.39-41
MI 2022-07-09
11:10
Hokkaido
(Primary: On-site, Secondary: Online)
Lung-inside Local Motion Analysis of COPD Patient using 4D-MRI
Chen Ye, Naoko Kawata (Chiba Univ.), Yuma Iwao (QST), Hideaki Haneishi (Chiba Univ.) MI2022-43
This study aims to establish a local respiratory motion estimation method inside the lung to apply to diagnose chronic o... [more] MI2022-43
pp.42-47
MI 2022-07-09
11:30
Hokkaido
(Primary: On-site, Secondary: Online)
Development of a radiogenomics AI screening system for chest diseases
Noboru Niki (UnivTokyo), Yoshiki Kawata, Hidenobu Suzuki (Tokushima Univ), Yuji Matsumoto, Takaaki Tsuchida, Masahiko Kusumoto (NCC), Kazuyoshi Marumo, Masahiro Kaneko (THSA) MI2022-44
 [more] MI2022-44
pp.48-49
MI 2022-07-09
13:30
Hokkaido
(Primary: On-site, Secondary: Online)
[Special Talk] Development of medical decision support with information and communication technology -- Telemedicine in Hokkaido to cloud and AI --
Masahito Uesugi (Hokkado Info. Univ.) MI2022-45
In Hokkaido, medical institutions are scattered over a vast area, and telemedicine has become widespread in order to eli... [more] MI2022-45
pp.50-52
MI 2022-07-09
14:40
Hokkaido
(Primary: On-site, Secondary: Online)
Development of body-surface temperature monitoring system using CNN-based infrared-sensor and Depth camera
Wataru Nakada, Kenji Iwadate, Yoshihiko Hayakawa (Kitami Inst. of Tech.) MI2022-46
 [more] MI2022-46
pp.53-55
MI 2022-07-09
15:00
Hokkaido
(Primary: On-site, Secondary: Online)
EEG signal processing for the brain death determination
Jianting CAO (SIT)
We present a calculating entropy and an accumulating energy electroencephalography (EEG) analyses method for the purpose... [more]
MI 2022-07-09
15:20
Hokkaido
(Primary: On-site, Secondary: Online)
Disease segmentation of 3D diagnostic images -- Disease detection using CT data --
Tetsuya Asakawa, Riku Tsuneda, Yuki Sugimoto (TUT), Kazuki Shimizu, Takuyuki Komoda (THC), Masaki Aono (TUT) MI2022-47
Disease detection from medical images reinforce the judgment of doctors and medical engineers, and is expected to play a... [more] MI2022-47
pp.56-60
MI 2022-07-09
15:40
Hokkaido
(Primary: On-site, Secondary: Online)
CT Volume Registration on X Ray Image Using 3D Reconstruction Network
Pragyan Shrestha, Chun Xie, Hidehiko Shishido (Univ. of Tsukuba), Yuichi Yoshii (Tokyo Medical Univ.), Itaru Kitahara (Univ. of Tsukuba) MI2022-48
In this research, we propose a novel method for registering X-ray images to CT volumes by reconstructing 3D point clouds... [more] MI2022-48
pp.61-65
 Results 1 - 18 of 18  /   
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