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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 2024-03-03
10:40
Okinawa OKINAWAKEN SEINENKAIKAN
(Primary: On-site, Secondary: Online)
[Short Paper] Pilot study of multitask learning for upper abdominal organ extraction and lesion detection on PET/CT images
Kohei Yoshida, Mitsutaka Nemoto, Kazuki Otani (Kindai Univ.), Hayato Kaida (KU Hosp), Yuichi Kimura, Takashi Nagaoka, Katsuhiro Mikami (Kindai Univ.), Takahiro Yamada, Kohei Hanaoka (KU Hosp), Tatsuya Tsuchitani, Kazuhiro Kitajima (HMU Hosp), Kazunari Ishii (KU Hosp) MI2023-37
As one of the studies for highly accurate detection of adrenal metastatic lesions on FDG-PET/CT images, multi-task learn... [more] MI2023-37
pp.25-27
MI 2024-03-03
11:40
Okinawa OKINAWAKEN SEINENKAIKAN
(Primary: On-site, Secondary: Online)
[Short Paper] Weak supervised chest lesion detection on FDG-PET/CT Images using Pix2Pix image modality translation
Kazuki Otani, Kohei Yoshida, Mitsutaka Nemoto (Kindai Univ.), Hayato Kaida (KU Hosp), Yuichi Kimura, Takashi Nagaoka, Katsuhiro Mikami (Kindai Univ.), Takahiro Yamada, Kohei Hanaoka (KU Hosp), Tsuchitani Tatsuya, Kazuhiro Kitajima (HMU Hosp), Kazunari Ishii (KU Hosp) MI2023-42
In this study, we propose a method for detecting thoracic lesions on PET/CT images using 3D Pix2Pix, which learns a tran... [more] MI2023-42
pp.36-38
MI 2024-03-04
13:28
Okinawa OKINAWAKEN SEINENKAIKAN
(Primary: On-site, Secondary: Online)
[Short Paper] Experimental validation of relationship between training data amount and accuracy of automatic annotation in developing image diagnosis AI
Koki Muranaka, Mitsutaka Nemoto, Yuichi Kimura, Takashi Nagaoka, Katsuhiro Mikami, Yukako Nakamae (Kindai Univ.), Takeharu Yoshikawa (Tokyo Univ.) MI2023-77
To reduce the development cost of image diagnosis AI systems, we have studied and proposed an automatic process for crea... [more] MI2023-77
pp.149-151
MI 2023-03-06
14:55
Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)
MI2022-87 (To be available after the conference date) [more] MI2022-87
pp.75-77
MI 2023-03-06
15:08
Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)
MI2022-88  [more] MI2022-88
pp.78-79
MI 2023-03-06
15:21
Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)
MI2022-89 (To be available after the conference date) [more] MI2022-89
pp.80-81
MI 2023-03-07
08:30
Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)
[Short Paper] Improved diagnostic accuracy of melanoma using style transformation
Takeki Tobitsuka, Tatsuya Masaki, Naoto Kitabata, Kazutoshi Hanazaki, WeiLun Chang, Takashi Nagaoka (KINDAI univ) MI2022-101
(To be available after the conference date) [more] MI2022-101
pp.125-126
MI 2023-03-07
08:43
Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)
MI2022-102 (To be available after the conference date) [more] MI2022-102
pp.127-128
MI 2023-03-07
08:56
Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)
MI2022-103 (To be available after the conference date) [more] MI2022-103
pp.129-130
MI 2021-03-16
16:30
Online Online [Short Paper]
Yuto Kanazawa, Takashi Nagaoka, Yuichi Kimura, Mitsutaka Nemoto (Kindai Univ) MI2020-82
(To be available after the conference date) [more] MI2020-82
pp.150-151
MICT, MI 2020-11-04
16:10
Online Online Performance of automated melanoma diagnosis by adding lesion information to deep convolutional neural network
Ginji Hirano, Mitsutaka Nemoto, Yuich Kimura, Takashi Nagaoka (Kindai University) MICT2020-20 MI2020-46
Melanoma is a type of superficial tumor, which is highly malignant. Early-stage melanoma is difficult to diagnose becaus... [more] MICT2020-20 MI2020-46
pp.62-64
MI 2020-01-29
09:55
Okinawa OKINAWAKEN SEINENKAIKAN Automated dection for neck and thoracic lesions on FDG-PET/CT by lesion enhancement using one-class SVM
Atsuko Tanaka, Mitsutaka Memoto, Hayato Kaida, Yuichi Kimura, Takashi Nagaoka, Takahiro Yamada, Kazuyuki Ushifusa (Kindai Uni), Kohei Hanaoka (Kindai Uni Hosp), Kazuhiro Kitajima (Hyogo Col of Med), Tatsuya Tsuchitani (Hosp of Hyogo Col of Med), Kazunari Ishii (Kindai Uni) MI2019-67
We propose an anomaly detection based method to detect primary and metastatic lesions in the cervical and thoracic regio... [more] MI2019-67
pp.11-14
MI 2020-01-29
10:05
Okinawa OKINAWAKEN SEINENKAIKAN A study of generalized generation of image features for computer-aided detection systems based on unsupervised learning with normal datasets -- Experimental evaluations of feature generation by small datasets --
Kazuyuki Ushifusa, Mitsutaka Nemoto(, Yuichi Kimura, Takashi Nagaoka, Takahiro Yamada, Atsuko Tanaka (Kindai Uni.), Naoto Hayashi (The Uni of Tokyo Hosp) MI2019-68
In a computer-aided detection system, image features are essential factors. In this study, we propose an image feature g... [more] MI2019-68
pp.15-18
MI 2019-07-06
09:50
Hokkaido Future Univ. Hakodate MI2019-25 (To be available after the conference date) [more] MI2019-25
pp.27-28
MI 2019-01-22
13:20
Okinawa   MI2018-65  [more] MI2018-65
pp.29-30
SIP, EA, SP, MI
(Joint) [detail]
2018-03-20
13:30
Okinawa   MI2017-94  [more] MI2017-94
pp.103-104
EMCJ, MICT
(Joint)
2018-03-16
09:55
Tokyo Kikai-Shinko-Kaikan Bldg. Inductance Analysis of Dual Mode Choke Considering Magnetic Saturation and Verification of Noise Reduction Effect
Yasuhiro Shiraki, Satoshi Yoneda, Katsuhiko Omae, Takashi Nagao (Mitsubishi Electric.) EMCJ2017-107
 [more] EMCJ2017-107
pp.13-18
MI 2017-01-18
14:15
Okinawa Tenbusu Naha MI2016-100  [more] MI2016-100
pp.111-112
MI 2017-01-18
14:15
Okinawa Tenbusu Naha MI2016-101  [more] MI2016-101
pp.113-114
MI 2016-01-19
13:20
Okinawa Bunka Tenbusu Kan Algorithm for automated delineation of reference regions in PET amyloid imaging based on pattern recognition scheme and kinetics of administered tracer -- Performance evaluation using climical data --
Takahiro Yamada, Yuichi Kimura, Takashi Nagaoka, Shima Okada, Chisa Hosokawa, Kazunari Ishii (Kindai) MI2015-84
Deposit of amyloid beta (Aβ) caused Alzheimer disease (AD). Very early diagnosis of Aβ deposit is expected to an effecti... [more] MI2015-84
pp.59-63
 Results 1 - 20 of 22  /  [Next]  
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