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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 59  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, MBE
(Joint)
2024-03-11
10:50
Tokyo The Univ. of Tokyo
(Primary: On-site, Secondary: Online)
Smoothing method of X-ray projection image using locally adaptive nonlinear filter
Taiga Matsumoto, Naohiro Toda (APU) MBE2023-69
An X-ray projection image is created by emitting X-rays from an X-ray tube toward a subject, measuring the intensity of ... [more] MBE2023-69
pp.5-8
NC, MBE
(Joint)
2023-03-14
13:55
Tokyo The Univ. of Electro-Communications
(Primary: On-site, Secondary: Online)
Compton Scattering X-ray CT using Iterative Reconstruction Method
Ryota Nakashima, Naohiro Toda (Aichi Prefectural Univ.) MBE2022-62
X-ray CT(Computed Tomography) is a device that uses a computer to reconstruct a tomographic image from the intensity dat... [more] MBE2022-62
pp.17-22
MSS, SS 2023-01-11
10:00
Osaka
(Primary: On-site, Secondary: Online)
Prohibited Items Detection in X-ray Security Inspection by Using a Deep Learning Method
Qingqi Zhang (Yamaguchi Univ.), Ren Wu (Yamaguchi Junior College), Mitsuru Nakata, Qi-Wei Ge (Yamaguchi Univ.) MSS2022-52 SS2022-37
Security screening machines using X-ray scanners are usually used to find out whether there are prohibited items in pack... [more] MSS2022-52 SS2022-37
pp.42-47
MICT, MI 2022-11-18
14:00
Aichi Nagoya Institute of Technology Extrapolation of partial X-ray image for prediction of whole body musculoskeletal structure
Weiqi Zhang, Yi Gu, Yoshito Otake, Soufi Mazen (NAIST), Keisuke Uemura (Osaka Univ), Masaki Takao (Ehime Univ), Toshiaki Akashi (Juntendo Univ), Kensaku Mori (Nagoya Univ/NII), Kento Aida (NII), Nobuhiko Sugano (Osaka Univ), Yoshinobu Sato (NAIST) MICT2022-38 MI2022-67
Image defects and partial disorders are common problems in medical imaging. Image inpainting and extrapolation are helpf... [more] MICT2022-38 MI2022-67
pp.24-28
CQ, IMQ, MVE, IE
(Joint) [detail]
2022-03-09
10:55
Online Online (Zoom) Phalange bone classification and osteotomy line estimation from X-ray images using deep learning
Tatsuhiko Sotokawa, Takaharu Yamazaki (SIT), Kazuaki Tanaka (NEOMED.), Keizo Fukumoto (Saitama Jikei Hosp.) IMQ2021-10 IE2021-72 MVE2021-39
In this study, we detect and classify the phalanges and estimate the osteotomy line from hand X-ray images using deep le... [more] IMQ2021-10 IE2021-72 MVE2021-39
pp.1-6
MI, MICT [detail] 2021-11-05
16:10
Online Online Classification of root resorption from dental panoramic X-ray images based on deep metric learning
Kosei Tamura, Tohru Kamiya (Kyushu Institute of Technology), Masashi Oda (Kyushu Dental University), Tatsurou Tanaka (Kagoshima University), Yasuhiro Morimoto (Kyushu Dental University) MICT2021-43 MI2021-41
Root resorption is one of the tooth diseases. It is caused by the roots of the teeth melting when it was absorbed and ac... [more] MICT2021-43 MI2021-41
pp.68-71
IE, IMQ, MVE, CQ
(Joint) [detail]
2020-03-06
11:10
Fukuoka Kyushu Institute of Technology
(Cancelled but technical report was issued)
Investigation of diagnostic support system for portable chest X-ray images by two-step classification using ensemble learning
Takahiro Dozono, Yuichiro Yoshimura, Kumiko Arai, Takaaki Nakada, Shigeto Oda, Toshiya Nakaguchi (Chiba Univ) IMQ2019-33 IE2019-115 MVE2019-54
Portable radiographs are used to monitor critically ill patients in intensive care units who have difficulty moving. How... [more] IMQ2019-33 IE2019-115 MVE2019-54
pp.89-92
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
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] 2019-02-20
13:15
Hokkaido Hokkaido Univ. A Note on Gastritis Detection from Gastric X-ray Images via Transfer Learning Approach
Misaki Kanai, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents a method for gastritis detection from gastric X-ray images via a transfer learning approach using a ... [more]
MI 2019-01-22
09:35
Okinawa   Acceleration of angiographic region enhancement based on robust principal component analysis using parallel processing
Morio Kawabe, Yuri Kokura, Takashi Ohnishi, Hideyuki Kato, Yoshihiko Ooka (Chiba Univ.), Tomoya Sakai (Nagasaki Univ.), Hideaki Haneishi (Chiba Univ.) MI2018-59
Robust principal component analysis (RPCA) can extract vessel information from consecutive digital angiographic images. ... [more] MI2018-59
pp.1-4
SIP, EA, SP, MI
(Joint) [detail]
2018-03-20
16:45
Okinawa   Geometry calibration method based on point-cloud registration for a portable X-ray system
Takuya Kato, Takashi Ohnishi, Masashi Sekine, Hideaki Haneishi (Chiba Univ.) MI2017-106
Tomosynthesis is a medical image modality that can acquire tomographic images at low doses compared to X-ray CT. In this... [more] MI2017-106
pp.145-148
MBE, NC
(Joint)
2017-03-14
13:35
Tokyo Kikai-Shinko-Kaikan Bldg. Improvement of Estimation Accuracy of Attenuation Coefficient using Scattered X-Rays -- Introduction of Photo-electric absorption --
Tetsuya Nakagami, Naohiro Toda (Aichi Prefectural Univ.), Yoichi Yamazaki (Kwansei Gakuin Univ.), Hiroki Yoshioka (Aichi Prefectural Univ.), Shuji Koyama (Nagoya Univ.) MBE2016-97
In cone-beam CT, the content ratio of the scattered X-rays increase with an increase in the cone angle. Because the saca... [more] MBE2016-97
pp.75-78
MI 2015-03-02
13:40
Okinawa Hotel Miyahira Landmark detection method by vertebral segmentation in abdominal X-ray CT images
Tatsuya Yasuda, Toshiaki Okumura (NIT Sendai), Hotaka Takizawa (Univ. of Tsukuba) MI2014-68
In this paper, we propose a method for detecting 12th thoracic vertebra (T12) as an anatomical landmark from abdominal X... [more] MI2014-68
pp.77-82
MI 2014-01-26
13:30
Okinawa Bunka Tenbusu Kan Model-based approach to recognize the middle and inferior fibers of the trapezius muscle in torso CT images
Haruka Kobayashi, Naoki Kamiya (Toyota Nat'l Col. Tech.), Asumi Kamiya (Higashi Nagoya National Hospital), Xiangrong Zhou, Huayue Chen, Chisako Muramatsu, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2013-68
We have proposed an automatic recognition method of skeletal muscle in torso CT images based on a shape model and positi... [more] MI2013-68
pp.69-72
MI 2013-09-13
14:15
Chiba   [Special Talk] Highly Accurate and Less-Invasive Diagnosis and Treatment for Diseases in Thoracoabdominal Organs
Hideaki Haneishi, Tadashi Yamaguchi, Ryoichi Nakamura, Mikio Suga, Toshiya Nakaguchi, Hiroshi Kawahira, Takashi Ohnishi (Chiba Univ.) MI2013-43
In hepato-biliary-pancreatic region, it is required to find a solid cancer formed in those organs and treat it less-inva... [more] MI2013-43
pp.31-34
MBE 2013-05-24
13:55
Toyama   A semi-automatic contour extraction of the bones of the shoulder joint from Fluoroscopic X-ray image
Hiroki Shima, Toyohiko Hayashi (Niigata Univ.), Hiroshi Tanaka, Hiroki Ninomiya, Hiroaki Inui, Masahiko Komai, Katsuya Nobuhara (Nobuhara Hospital) MBE2013-7
In order to analyze the motion of the shoulder, a method for measuring the position and orientation of the bone in three... [more] MBE2013-7
pp.31-35
PRMU 2013-03-15
10:45
Tokyo   Performance Comparison of Appearance-based Pulmonary Nodule Detection from X-ray CT Images
Takanobu Yanagihara, Hotaka Takizawa (Univ. of Tsukuba) PRMU2012-212
In this paper, we propose appearance-based clustering methods of false positives in X-ray CT images based on K-means, Me... [more] PRMU2012-212
pp.193-197
MI 2013-01-25
10:50
Okinawa Bunka Tenbusu Kan Automated recognition of the rectus abdominis muscle in CT images based on a virtual image-unfolding technique by the removal of the subcutaneous fat region
Naoki Kamiya (Toyota Nat'l Col. Tech.), Chisako Muramatsu, Xiangrong Zhou, Huayue Chen, Takeshi Hara, Hiroaki Hoshi, Hiroshi Fujita (Gifu Univ.) MI2012-99
We had proposed an automated method for recognizing skeletal muscle in torso X-ray CT images using skeletal positional i... [more] MI2012-99
pp.197-200
MBE 2012-10-11
10:20
Osaka Osaka Electro-Communication University Evaluation of Automatic Cropping Method of Chest X-ray Image
Masataka Imura (Osaka Univ.), Yoshito Tabata, Rikuta Ishigaki (Kyoto MSC), Yoshihiro Kuroda, Osamu Oshiro (Osaka Univ.) MBE2012-36
The spread of digital of X-ray imaging forces radiation technologists to crop X-ray images manually after measurement. T... [more] MBE2012-36
pp.1-4
MI 2012-01-20
09:45
Okinawa   Pulmonary Nodule Detection from X-ray CT images using Moment-of-Inertia Filter with Radial Suppression Filter
Takanobu Yanagihara, Hotaka Takizawa (Univ. of Tsukuba) MI2011-118
In this report, we propose a detection method of pulmonary nodules in X-ray CT images using several image filters. First... [more] MI2011-118
pp.227-230
 Results 1 - 20 of 59  /  [Next]  
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