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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 8 of 8  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
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 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 2021-03-16
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 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 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
MI 2019-01-22
13:20
Okinawa   [Short Paper] Differences of Segmentation Results by Three Training Data for Cartilage Extraction in Knee MR Images Using Deep Learning
Ryoma Aoki, Takeshi Hara (Gifu Univ), Taiki Nozaki, Masaki Matsusako (Dept.of Radiol.,St.Luke's Hosp.), Xiangrong Zhou, Hiroshi Fujita (Gifu Univ) MI2018-76
Accurate grasp of cartilage area is important for diagnosis and treatment related to arthropathy diseases. In recent yea... [more] MI2018-76
pp.63-64
SIP, EA, SP, MI
(Joint) [detail]
2018-03-20
13:30
Okinawa   [Short Paper] Quantitative image analysis of striatum updake on dopamine transporter imaging based on image registration of brain SPECT/CT and MR images
Takeshi Hara, Yuta Takeda, Shogo Yokoi (Gifu Univ.), Masaki Matsusako, Taiki Nozaki (St. Luke's Hosp.), Xiangrong Zhou, Hiroshi Fujita (Gifu Univ.) MI2017-100
 [more] MI2017-100
pp.123-124
MI 2017-01-18
14:15
Okinawa Tenbusu Naha [Short Paper]
Syougo Yokoi, Yuta Takeda, Takeshi Hara (Gifu Univ.), Yuki Tanaka (St. Luke's International Hospital), Tetsuro Katafuchi (Gifu Medical Science Univ.), Daisuke Fukuoka (Gifu Univ.), Taiki Nozaki, Masaki Matsusako (St. Luke's International Hospital), Hiroshi Fujita (Gifu Univ.) MI2016-91
(To be available after the conference date) [more] MI2016-91
pp.77-78
 Results 1 - 8 of 8  /   
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