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Technical Committee on Medical Imaging (MI)  (Searched in: 2019)

Search Results: Keywords 'from:2020-01-29 to:2020-01-29'

[Go to Official MI Homepage (Japanese)] 
Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Ascending)
 Results 21 - 40 of 59 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2020-01-29
13:50
Okinawa OKINAWAKEN SEINENKAIKAN Investigation of Hard Exudates Image Generated by Cramer Generative Adversarial Networks
Maho Fujita, Yuji Hatanaka, Wataru Sunayama (Univ. of Shiga Prefecture), Chisako Muramatsu (Shiga Univ.), Hiroshi FUjita (Gifu Univ.) MI2019-85
(To be available after the conference date) [more] MI2019-85
pp.85-89
MI 2020-01-29
14:00
Okinawa OKINAWAKEN SEINENKAIKAN Effects of skull and surrounding area in functional MRI analysis using Convolutional Neural Network
Yuta Hosoi, Takafumi Hayashi (Niigata Univ.) MI2019-86
A fuctional MRI(fMRI) has been used in various fields from medicine and neuroscience to psychology andlinguistics since ... [more] MI2019-86
pp.91-96
MI 2020-01-29
14:10
Okinawa OKINAWAKEN SEINENKAIKAN Proposal for a Method for Classifying Aortic Stenosis from ECG Using Deep Learning, and Analysis Using Grad-CAM.
Erika Hata, Chanjin Seo (Waseda Univ.), Masafumi Nakayama (Todachuo General Hospital), Kiyotaka Iwasaki (Waseda Univ.), Takaaki Ohkawauchi (Nihon Univ.), Jun Ohya (Waseda Univ.) MI2019-87
Aortic valvular stenosis (AS), one of the valvular diseases, can cause sudden death in severe cases. This disease is rar... [more] MI2019-87
pp.97-101
MI 2020-01-29
14:20
Okinawa OKINAWAKEN SEINENKAIKAN Cell Image Segmentation by Attention Module Considering Relationship Between Generator and Discriminator
Hiroki Tsuda, Kazuhiro Hotta (Meijo Univ.) MI2019-88
(To be available after the conference date) [more] MI2019-88
pp.103-108
MI 2020-01-29
14:30
Okinawa OKINAWAKEN SEINENKAIKAN MI2019-89 For effective in situ endoscopic diagnosis and treatment, measurement of polyp sizes is important. For this purpose, 3D ... [more] MI2019-89
pp.109-114
MI 2020-01-29
15:00
Okinawa OKINAWAKEN SEINENKAIKAN [Invited Talk] Implementing IT and AI in the clinical field -- AI hospital project --
Masahiro Jinzaki (Keio Univ.) MI2019-90
(To be available after the conference date) [more] MI2019-90
p.115
MI 2020-01-29
15:50
Okinawa OKINAWAKEN SEINENKAIKAN Characterization of ultrasonic backscatter of vascular system using high-frame-rate ultrasound imaging
Masaaki Omura (Chiba Univ.), Hideyuki Hasegawa, Ryo Nagaoka (Toyama Univ.), Kenji Yoshida, Tadashi Yamaguchi (Chiba Univ.) MI2019-91
 [more] MI2019-91
pp.117-122
MI 2020-01-29
16:00
Okinawa OKINAWAKEN SEINENKAIKAN [Short Paper] Decomposition of individual musculoskeletal of lower extremity using CycleGAN -- Estimation of left-right volume ratio of muscle and quantitative evaluation with single radiograph --
Naoki Nakanishi, Yuta Hiasa, Yoshito Otake (NAIST), Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST) MI2019-92
 [more] MI2019-92
pp.123-124
MI 2020-01-29
16:10
Okinawa OKINAWAKEN SEINENKAIKAN Landmark detection of pelvis and femur for preoperative planning of total hip replacement using CNN
Yuki Nakanishi (Kobe Univ.), Yoshito Otake (NAIST), Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Yuta Hiasa (NAIST), Yoshiyuki Kagiyama (Univ. of Yamanashi), Toshiya Kaihara (Kobe Univ.), Yoshinobu Sato (NAIST) MI2019-93
We have developed an automated preoperative planning system for total hip replacement. This system requires quantitative... [more] MI2019-93
pp.125-127
MI 2020-01-29
16:20
Okinawa OKINAWAKEN SEINENKAIKAN Surgical tool segmentation from laparoscopic images using laparoscopic image syntheses and deep learning
Takuya Ozawa, Yuichiro Hayashi, Hirohisa Oda, Masahiro Oda (Nagoya Univ.), Takayuki Kitasaka (Aich Ins. of Tech.), Nobuyoshi Takeshita, Masaaki Ito (NCC East), Kensaku Mori (Nagoya Univ.) MI2019-94
This paper proposes a surgical tool segmentation method from laparoscopic images using image synthesis and deep learning... [more] MI2019-94
pp.129-134
MI 2020-01-29
16:30
Okinawa OKINAWAKEN SEINENKAIKAN Study of the Perception Error in AR Navigation for Supporting IVR Using Microsoft HoloLens
Shuhei Fujii (Waseda Univ.), Satoru Morita, Kazufumi Suzuki, Kenji Endo (Tokyo Women's Medical Univ. Hospital), Takeshi Morishita (Waseda Univ.), Hiroshi Nagahashi (Japan Women's Univ.), Ken Masamune (Tokyo Women's Medical Univ.), Jun Ohya (Waseda Univ.) MI2019-95
In this study, we propose an AR navigation system that uses Microsoft HoloLens as a simple and no radioactive exposure m... [more] MI2019-95
pp.135-139
MI 2020-01-30
09:30
Okinawa OKINAWAKEN SEINENKAIKAN Development of OCT Simulator using KTN Wavelength Swept Light Source.
Masashi Nakamura, Kazumi Murata, Koichi Ogawa (Hosei Univ.) MI2019-96
Optical Coherence Tomography (OCT) is used to acquire tomographic images in the retina of an eye. This is an imaging dev... [more] MI2019-96
pp.141-145
MI 2020-01-30
09:40
Okinawa OKINAWAKEN SEINENKAIKAN [Short Paper] A Combined System of Raman Spectroscopy and Optical Coherence Tomography for Pathological Diagnosis
Yumi Ueda, Kazuya Nakano, Takashi Ohnishi, Hanako Tatekawa, Seiichiro Hirono, Yasuo Iwadate, Hideaki Haneishi (Chiba Univ.) MI2019-97
Pathological diagnosis during surgery is performed to determine the area which have to be removed. Although it can be pe... [more] MI2019-97
pp.147-148
MI 2020-01-30
09:50
Okinawa OKINAWAKEN SEINENKAIKAN [Short Paper] Fundamental study for relationship analysis between acoustic features by microscopy and pathological characteristics on brain tumors
Daiki Matsumoto, Takashi Ohnishi, Kazuya Nakano, Takuya Ogawa, Seiichiro Hirono, Tadashi Yamaguchi, Yasuo Iwadate, Hideaki Haneishi (Chiba Univ.) MI2019-98
In brain tumor resection surgery, the tumor is removed by judging from color and stiffness, and the type and malignancy ... [more] MI2019-98
pp.149-150
MI 2020-01-30
10:00
Okinawa OKINAWAKEN SEINENKAIKAN Construction of Basis Vectors for Representation of Immunostaining Combination by Non-negative Matrix Decomposition
Kaho Ko, Noriaki Hashimoto, Tatsuya Yokota (NITech), Masato Nakaguro, Kei Kohno, Shigeo Nakamura (NUH), Ichiro Takeuchi, Hidekata Hontani (NITech) MI2019-99
In this paper, we propose a method that constructs a set of basis vectors for representing combination of immunostaining... [more] MI2019-99
pp.151-154
MI 2020-01-30
10:10
Okinawa OKINAWAKEN SEINENKAIKAN Mutual stain transfer among differently stained pathological images with Extraction of Common Image Features
Hideo Adachi, Mauricio Kugler (NIT), Chika Iwamoto, Kenoki Ohuchida, Makoto Hashizume (Kyushu Univ.), Tatsuya Yokota, Hidekata Hontani (NIT) MI2019-100
 [more] MI2019-100
pp.155-158
MI 2020-01-30
10:40
Okinawa OKINAWAKEN SEINENKAIKAN Evaluation of 3D adversarial networks for metallic dental artifact reduction
Megumi Nakao (Kyoto Univ.), Keiho Imanishi (e-Growth), Nobuhiro Ueda (Nara Medical Univ.), Yuichiro Imai (Otowa Hosp.), Tadaaki Kirita (Nara Medical Univ.), Tetsuya Matsuda (Kyoto Univ.) MI2019-101
(To be available after the conference date) [more] MI2019-101
pp.159-164
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
11:00
Okinawa OKINAWAKEN SEINENKAIKAN High precision metal artifacts reduction in X-ray CT images by Deep Image Prior and sinogram normalization
Hiroya Satake, Tatsuya Yokota (NIT), Yoshito Otake, Yoshinobu Sato (NAIST), Hidekata Hontani (NIT) MI2019-103
In this paper, we propose a method to improve the normalization accuracy of sinogram by using DeepImage Prior to remove ... [more] MI2019-103
pp.169-174
MI 2020-01-30
11:10
Okinawa OKINAWAKEN SEINENKAIKAN [Short Paper] Improvement of super-resolution of a thoracic CT volume by a simultaneous process with anatomical segmentation
Katsuki Tozawa, Atsushi Saito (TUAT), Shoji Kido (Osaka University), Yasushi Hirano (Yamaguchi University), Kunihiro Inai, Hirohiko Kimura (University of Fukui), Akinobu Shimizu (TUAT) MI2019-104
 [more] MI2019-104
pp.175-176
 Results 21 - 40 of 59 [Previous]  /  [Next]  
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