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 09:36 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Overfitting Prevention for PET Image Reconstruction using Early Stopping of Deep Image Prior based on Unbiased Risk Estimator Kaito Matsumura, Hidekata Hontani (NIT), Muneyuki Sakata (TMIG), Yuichi Kimura (KDU), Tatsuya Yokota (NIT) MI2023-65 |
In recent years, methods for PET image reconstruction using Deep Image Prior (DIP) have been actively studied. In PET im... [more] |
MI2023-65 pp.106-108 |
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 |
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 |
PRMU, MI, IPSJ-CVIM [detail] |
2019-09-05 10:35 |
Okayama |
|
[Short Paper]
Dynamic PET Image Reconstruction using Non-Negative Matrix Decomposition with Deep Image Prior Tomoshige Shimomura, Kazuya Kawai (NIT), Muneyuki Sakata (Tokyo Metro. Inst. Gerontology), Yuichi Kimura (KU), Tatsuya Yokota, Hidekata Hontani (NIT) PRMU2019-24 MI2019-43 |
We present a PET image reconstruction method that can reconstruct dynamic PET images with high SN ratio and can simultan... [more] |
PRMU2019-24 MI2019-43 pp.69-70 |
SIP, EA, SP, MI (Joint) [detail] |
2018-03-19 13:40 |
Okinawa |
|
A pilot study to detect anatomical landmarks using convolutional neural network Mitsutaka Nemoto, Shogo Watanabe, Yuichi Kimura (Kindai Univ.), Shouhei Hanaoka, Yukihiro Nomura, Takeharu Yoshikawa, Naoto Hayashi (Univ. of Tokyo) MI2017-80 |
[more] |
MI2017-80 pp.47-50 |
MI |
2017-01-18 11:46 |
Okinawa |
Tenbusu Naha |
[Short Paper]
Comparison of FDG-PET Image and MR Image in differential dementia diagnosis using machine learning Xiaoyu Wang (Chiba Univ./Tokyo Metropolitan Geriatric Hospital), Muneyuki Sakata, Kenji Ishii (Tokyo Metropolitan Geriatric Hospital), Yuichi Kimura (Tokyo Metropolitan Geriatric Hospital/KINDAI Univ.), Keii Wagatsuma, Kenji Ishibashi, Jun Toyohara (Tokyo Metropolitan Geriatric Hospital), Noriko Yata, Yoshitsugu Manabe (Chiba Univ.) MI2016-78 |
[more] |
MI2016-78 pp.31-32 |
MI |
2017-01-18 15:48 |
Okinawa |
Tenbusu Naha |
[Short Paper]
PET image analysis using sparse nonnegative matrix factorization for accumulation model survey of amyloid beta Tatsuya Nagata, Hidekata Hontani, Tatsuya Yokota (NIT), Yuchi Kimura (Kindai Univ.), Koichi Ito (Tohoku Univ.), Takashi Kato, Kaori Iwata, Akinori Nakamura (NCGG) MI2016-117 |
(To be available after the conference date) [more] |
MI2016-117 pp.183-184 |
MI |
2016-11-14 15:00 |
Tottori |
Tottori Univ. |
[Short Paper]
Study of Dynamic PET Reconstruction by Low-rank Non-negative Matrix Factorization Junya Yamada, Hidekata Hontani, Tatsuya Yokota (NIT), Muneyuki Sakata (TMIG), Yuichi Kimura (KU) MI2016-69 |
Tissue time activity curves observed in dynamic images are used for kinetic analysis of brain PET. In order for improvin... [more] |
MI2016-69 pp.31-32 |
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 |
MI |
2015-11-11 16:00 |
Nara |
NAIST |
Algorithm for automated delineation of reference regions in PET amyloid imaging based on pattern recognition scheme and kinetics administered tracer Takahiro Yamada, Yuichi Kimura, Takashi Nagaoka, Shima Okada, Chisa Hosokawa, Kazunari Ishii (Kindai Unvi) MI2015-68 |
Deposit of amyloid beta (Aβ) destroyed nerve cells, and it caused Alzheimer disease(AD). Very early diagnosis of Aβ depo... [more] |
MI2015-68 pp.55-59 |
MI |
2015-03-02 16:36 |
Okinawa |
Hotel Miyahira |
Eliminations of dura maters from MR Images using probablistic atlas and graph cut technique Shin-ya Uto, Hidekata Hontani (NIT), Muneyuki Sakata (TMIG), Yuichi Kimura (Kinki Univ) MI2014-86 |
This study aims at proposing algorithm that liminate the dura maters in brain MR images accurately. Ordinary methods oft... [more] |
MI2014-86 pp.151-155 |
MI |
2014-01-26 13:30 |
Okinawa |
Bunka Tenbusu Kan |
Employment of MRI anatomical normalization in statistical comparison of brain FDG-PET
-- Improvement of the whole brain extraction process and performance evaluation -- Akihiro Ejiri (Chiba Univ./TMIG), Muneyuki Sakata, Kenji Ishii (TMIG), Yuichi Kimura (Kinki Univ. /TMIG), Keiichi Oda, Jun Toyohara (TMIG), Noriko Yata (Chiba Univ.), Kiichi Ishiwata (TMIG), Yoshitsugu Manabe (Chiba Univ.) MI2013-79 |
[more] |
MI2013-79 pp.127-132 |
MI |
2014-01-27 11:30 |
Okinawa |
Bunka Tenbusu Kan |
[Special Talk]
Present State of PET Functional Imaging and Clinical or Investigative Applications Yuichi Kimura (Kinki Univ.) MI2013-98 |
[more] |
MI2013-98 p.231 |
MI |
2014-01-27 13:30 |
Okinawa |
Bunka Tenbusu Kan |
Comparison between a Renormalization Method for Linear Regression and a Bayes Method for Denoizing with respect to Improvement of Dynamic PET Image Analysis Takahiro Kozawa, Hidekata Hontani (Nagoya Inst. of Tech.), Kazuya Sakaguchi (Kitasato Univ), Muneyuki Sakata (TMIG), Yuichi Kimura (Kinki Univ) MI2013-109 |
The tissue time activity curve (tTAC) represents a time variation of radioactivity of ligand in the brain derived from b... [more] |
MI2013-109 pp.285-290 |