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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 185  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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.)
 [more]
MI 2022-01-25
16:37
Online Online [Short Paper] Recognition of teeth and dental prostheses in dental panoramic radiographs using multi-label detection
Takumi Morishita (Gifu Univ.), Chisako Muramatsu (Shiga Univ.), Ryo Takahashi, Tatsuro Hayashi (media), Yuta Seino (Gifu Univ.), Wataru Nishiyama (Asahi Univ.), Xiangrong Zhou, Takeshi Hara (Gifu Univ.), Akitoshi Katsumata (Asahi Univ.), Hiroshi Fujita (Gifu Univ.) MI2021-51
The purpose of this study is to analyze dental panoramic radiographs for completing dental files to contribute to the di... [more] MI2021-51
pp.37-38
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
16:13
Online Online [Short Paper] utomatic Extraction of Regions of Vascular Lesions Including Diffuse Lesions in MR Images Using Weakly Supervised Deep Learning
Koki Fukaya, Takeshi Hara (Gifu Univ.), Taiki Nozaki, Masaki Matsusako (St.Luke's International Hosp.), Tetsuro Katafuchi (Gifu Medical Univ.), Xiangrong Zhou, Hiroshi Fujita (Gifu Univ.) MI2021-87
Klippel-Trenaunay-Weber syndrome (KTS) is a type of vascular lesion for which there is no quantitative diagnostic method... [more] MI2021-87
pp.186-187
MI 2022-01-27
16:39
Online Online [Short Paper] Multiple Organ Detection from CT Images Based on Deep Learning -- Fusion of 2D-CNN and Transformer --
Daiki Kanoh, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2021-89
The automatic recognition of multiple organs in 3D CT images and detecting organ positions are required for computer-aid... [more] MI2021-89
pp.190-193
MI 2021-07-08
13:00
Online Online Automated detection of malignant tumors on PET/CT images using convolutional neural networks and statistical images
Takumi Aihara (Gifu Univ.), Masaki Matsusako (St.Luke's International Hospital), Takeshi Hara (Gifu Univ.), Taiki Nozaki (St.Luke's International Hospital), Tetsuro Katafuchi (Gifu University of Medical Science), Satoshi Ito, Masaya Kato (Daiyukai General Hospital), Xiangrong Zhou, Hiroshi Fujita (Gifu Univ.) MI2021-9
In this study, we performed automatic detection of tumors from PET / CT images using Z-score images. The Z-score image i... [more] MI2021-9
pp.1-6
MI 2021-07-08
13:30
Online Online [Short Paper] Performance comparison of multiple deep CNN methods for multiple organ detection in CT images
Daiki Kanoh, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2021-10
The scheme of automatically recognizing multiple organs and detecting their localizations in 3D CT images is required fo... [more] MI2021-10
pp.7-10
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
MI 2021-03-15
13:15
Online Online [Short Paper] Automatic Classification for Product Names and Treatment Stages of Dental Implants in Dental Panoramic Radiographs Using Deep Learning
Kazumasa Yoshii (Gifu Univ.), Shintaro Sukegawa (Kagawa Prefectural Central Hosp.), Takeshi Hara (Gifu Univ.), Katsusuke Yamashita (Towa Manufacturing), Keisuke Nakano, Hitoshi Nagatsuka (Okayama Univ. Grad. Sch.), Yoshihiko Huruki (Kagawa Prefectural Central Hosp.) MI2020-52
In the treatment of dental implants, it is necessary to identify the product name and treatment stage of the implant bef... [more] MI2020-52
pp.23-24
MI 2021-03-16
13:15
Online Online [Short Paper] Feature extraction using AutoEncorder from nodular shadows on chest CT images
Yuta Tanaka, Takeshi Hara, Xiangrong Zhou (Gifu Univ.), Masaki Matsusako, Taiki Nozaki (St. Luke's Hosp.) MI2020-71
Lung cancer mortality in men is 86.7% in 2018. If the benign and malignant lung cancer and the growth rate of nodules ca... [more] MI2020-71
pp.99-101
MI 2021-03-17
10:45
Online Online [Short Paper] Preliminary study for improving the performance of abdominal multi-phase CT image registration based on 3D deep CNN with a CycleGAN
Ryotaro Fuwa, Xiangong Zhou, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2020-90
Deep learning is expected to be an approach to solve the problem of accurate medical image alignment. Recently, VoxelMor... [more] MI2020-90
pp.182-185
MI 2020-01-29
13:20
Okinawa OKINAWAKEN SEINENKAIKAN [Short Paper] Growth process analysis of nodular shadows in chest CT images using function expression
Shoko Inagaki, Takeshi Hara, Xiangrong Zhou (Gifu Univ.), Taiki Nozaki, Masaki Matsusako (St. Luke's Hospital) MI2019-79
Volume changes of lung nodules were recognized to prognose and to predict the abnormalities in the follow-up treatments.... [more] MI2019-79
pp.67-69
MI 2020-01-29
13:20
Okinawa OKINAWAKEN SEINENKAIKAN [Short Paper] Retinal nerve fiber layer analysis on fundus images using CNN trained with OCT data
Ryusuke Watanabe (Gifu Univ.), Chisako Muramatsu (Shiga Univ.), Akira Sawada, Xiangrong Zhou (Gifu Univ.), Yuji Hatanaka (USP), Takeshi Hara, Tetsuya Yamamoto, Hiroshi Fujita (Gifu Univ.) MI2019-80
Glaucoma is the first leading cause of blindness in Japan. However, glaucoma only has a few warning signs or symptoms. T... [more] MI2019-80
pp.71-72
MI 2020-01-29
13:20
Okinawa OKINAWAKEN SEINENKAIKAN [Short Paper] Recognition of dentition using deep learning in dental panoramic X-ray images
Takumi Morishita (Gifu Univ.), Chisako Muramatsu (Shiga Univ.), Xiangrong Zhou (Gifu Univ.), Ryo Takahashi, Tatsuro Hayashi (media), Wataru Nishiyama (Asahi Univ), Takeshi Hara (Gifu Univ.), Yoshiko Ariji, Eiichiro Ariji (Aichi Gakuin Univ.), Akitoshi Katsumata (Asahi Univ), Hiroshi Fujita (Gifu Univ.) MI2019-81
Dental panoramic X-ray images are obtained at more than 98% of dental clinics in Japan. However, since all the teeth are... [more] MI2019-81
pp.73-74
MI 2020-01-29
13:20
Okinawa OKINAWAKEN SEINENKAIKAN Tooth detection based on relation of teeth with Relation Module on dental Cone-beam CT
Shota Kutsuna (Gifu Univ.), Chisako Muramatsu (Shiga Univ.), Ryo Takahashi, Tatsuro Hayashi (Media CO., Ltd.), Xiangrong Zhor (Gifu Univ.), Wataru nishiyama (Asashi Univ.), Yoshiko Ariji (Aichi-Gakuin Univ.), Takeshi Hara (Gifu Univ.), Akitoshi Katsumata (Asashi Univ.), Eichiro Ariji (Aichi-Gakuin Univ.), Hiroshi Fujita (Gifu Univ.) MI2019-82
Recently, image diagnosis using dental panoramic X-ray images and dental cone-beam CT (CBCT) is widely used in dental tr... [more] MI2019-82
pp.75-76
MI 2020-01-29
13:20
Okinawa OKINAWAKEN SEINENKAIKAN [Short Paper] Automatic segmentation of malignant tumors using PET/CT images and statistical images
Manami Haga, Takeshi Hara (Gifu Univ.), Satoshi Ito, Masaya Kato (Daiyukai Hospital), Masaki Matsusako (St.Luke's Hospital), Zhou Xiangrong (Gifu Univ.), Tetsuro Katafuchi (Gifu Univ. of Medical Science), Hiroshi Fujita (Gifu Univ.) MI2019-83
The purpose of this study was to develop an automated detection system of tumors in FDG-PET/CT images. In this work, an ... [more] MI2019-83
pp.77-81
MI 2020-01-30
10:50
Okinawa OKINAWAKEN SEINENKAIKAN [Short Paper] Study of image quality improvement technique using deep learning for nuclear medicine images
Masaya Momiuchi, Takeshi Hara (Gifu Univ), Tetsuro Katafuchi (Gifu Univ of Medical Science), Masaki Matsusako (St. Luke's Hospital), Hiroshi Fujita (Gifu Univ) MI2019-102
Spatial resolutions in nuclear medical imaging are not equivalent to ordinary medical images such as CT or MR modalities... [more] MI2019-102
pp.165-168
MI 2020-01-30
13:25
Okinawa OKINAWAKEN SEINENKAIKAN 2D Deep CNN for automated multi organ segmentation from CT images by using consecutive slices feature maps
Hiroki Isakari, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2019-113
The development of a computer-aided diagnosis system is expected to reduce the burden on the radiologist in clinical pra... [more] MI2019-113
pp.203-205
MI 2019-07-05
14:00
Hokkaido Future Univ. Hakodate [Short Paper] Automated extraction of cartilage regions on knee MR images by deep learning approach
Koki Fukaya, Takeshi Hara, Xiangrong Zhou (Gifu Univ.), Taiki Nozaki, Masaki Matsusako (St. Luke's HP), Hiroshu Fujita (Gifu Univ.) MI2019-17
(To be available after the conference date) [more] MI2019-17
pp.1-2
SDM 2019-02-07
14:30
Tokyo   [Invited Talk] Single Crystal Al Interconnects formed on p-GaN and their Application to GaN FET
Takeshi Harada, Koji Utaka, Yusuke Kand, Katsuhiko Onishi, Keiichi Matsunaga, Masahiro Hikita, Yasuhiro Uemoto (Panasonic) SDM2018-95
 [more] SDM2018-95
pp.19-22
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