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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 74  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2022-07-09
10:30
Hokkaido
(Primary: On-site, Secondary: Online)
Non-rigid registration method for longitudinal chest CT images in Covid-19
Yuma Iwao (QST), Naoko Kawata, Yuki Segiguchi, Hideaki Haneishi (Chiba Univ) MI2022-41
In time series analysis of the lungs, a non-rigid registration method that compensates for differences in respiratory st... [more] MI2022-41
pp.34-38
MI 2022-07-09
10:50
Hokkaido
(Primary: On-site, Secondary: Online)
Development of a prognosis prediction for Covid-19 using deep learning
Yuma Iwao (QST), Naoko Kawata, Yuki Sekiguchi, Hideaki Haneishi (Chiba Univ) MI2022-42
Many studies have been reported on the prediction of COVID-19 severity using deep learning. However, most of them predic... [more] MI2022-42
pp.39-41
MI 2022-07-09
11:10
Hokkaido
(Primary: On-site, Secondary: Online)
Lung-inside Local Motion Analysis of COPD Patient using 4D-MRI
Chen Ye, Naoko Kawata (Chiba Univ.), Yuma Iwao (QST), Hideaki Haneishi (Chiba Univ.) MI2022-43
This study aims to establish a local respiratory motion estimation method inside the lung to apply to diagnose chronic o... [more] MI2022-43
pp.42-47
MI 2022-01-25
16:24
Online Online OCT Image Analysis of Choroidal Structure in Patients with Retinitis Pigmentosa
Tin Tin Khaing, Takayuki Okamoto, Chen Ye, Gen Miura, Hirotaka Yokouchi (Chiba Univ.), Pakinee Aimmanee, Stanislav S. Makhanov (Thammasat Univ.), Hideaki Haneishi (Chiba Univ.) MI2021-50
 [more] MI2021-50
pp.32-36
MI 2022-01-27
13:41
Online Online Immunohistochemical Reaction Image Analysis of Endometrial Carcinoma of the Uterine Corpus
Rina Hiratsuka (Chiba Univ.), Fumikazu Kimura, Kengo Ohshima (Shinshu Univ.), Hideaki Haneishi (Chiba Univ.) MI2021-77
Immunohistochemistry (IHC) is a visualization method aiming at discovering a certain protein and has been widely adopted... [more] MI2021-77
pp.141-143
MI 2022-01-27
14:07
Online Online Multimodal Image Analysis of Skin Flap Necrosis Using a Model Rat
Riku Eto, Yoko Kurabuchi, Shinsuke Akita, Nobuyuki Mitsukawa, Hideaki Haneishi (Chiba Univ) MI2021-79
 [more] MI2021-79
pp.146-149
MI 2021-07-08
14:00
Online Online Unsupervised deep learning with low-rank and sparse priors for blood vessel enhancement from free-breathing angiography
Ryoji Ishibashi, Tomoya Sakai (Nagasaki Univ.), Hideaki Haneishi (Chiba Univ.) MI2021-11
(To be available after the conference date) [more] MI2021-11
pp.11-14
MI 2021-07-09
14:30
Online Online Asynchrony analysis of diaphragmatic movement for evaluation of respiratory dynamics in COPD patients
Xiao Tan (Chiba Univ.), Yuma Iwao (QST), Chen Ye, Kotaro Takahashi (Chiba Univ.), Yoshitada Masuda (Chiba Univ. Hospital), Ayako Shimada, Naoko Kawata, Hideaki Haneishi (Chiba Univ.) MI2021-20
The state of lung movement is an important index for the diagnosis of the chronic obstructive pulmonary disease (COPD). ... [more] MI2021-20
pp.47-51
MI 2021-03-16
16:45
Online Online [Short Paper] Construction of Microcirculation Image Analysis System and Investigation into Effect of Thrombomodulin Alfa for Septic Model Rats
Mami Kawasaki (Chiba Univ.), Kazuya Nakano (Miyazaki Univ.), Takashi Ohnishi, Masashi Sekine, Eizo Watanabe, Shigeto Oda, Taka-aki Nakada, Hideaki Haneishi (Chiba Univ.) MI2020-83
Direct observation of the impairment and recovery of microcirculation related to sepsis may give us clear understanding ... [more] MI2020-83
pp.152-153
MI 2021-03-17
13:30
Online Online Noise reduction method for sparse-view computed tomography using spatial frequency components
Takayuki Okamoto, Hideaki Haneishi (Chiba Univ.) MI2020-95
Sparse-view CT, an imaging technique to reduce the number of projections, can reduce the radiation dose and scanning dur... [more] MI2020-95
pp.207-211
PRMU, IPSJ-CVIM 2020-03-17
09:45
Kyoto
(Cancelled but technical report was issued)
Deep neural network representation and learning of low-rank and sparse approximation -- With application to celiac angiography under free breathing --
Ryohei Miyoshi, Tomoya Sakai (Nagasaki Univ.), Takashi Ohnishi, Hideaki Haneishi (Chiba Univ.) PRMU2019-91
Low-rank and sparse (L+S) approximation, a.k.a. stable and robust principal component analysis, is known to be suitable ... [more] PRMU2019-91
pp.133-138
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 2019-07-05
14:25
Hokkaido Future Univ. Hakodate Visualization and analysis of microcirculation using Sidestream dark field imaging and optical coherence tomography
Hanako Tatekawa, Kazuya Nakano, Takashi Ohnishi, Hideaki Haneishi (Chiba Univ.) MI2019-18
 [more] MI2019-18
pp.3-6
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
MI 2019-01-22
10:35
Okinawa   Study of acquisition condition and image analysis for detecting esophageal cancer stained by low concentration lugol solution
Yu Saito, Yoko Kurabuchi, Kazuya Nakano, Takashi Ohnishi, Satoshi Ota, Masaya Uesato, Hideaki Haneishi (Chiba Univ) MI2018-63
An operation to remove esophageal cancer needs lugol solution for detecting cancer region. By using lugol solution, we c... [more] MI2018-63
pp.19-23
MI 2019-01-22
13:20
Okinawa   [Poster Presentation] CNN-based lymphedema detection method using CT image
Satoki Zenbutsu, Takashi Ohnishi, Shinsuke Akita, Nobuyuki Mitsukawa, Hideaki Haneishi (Chiba Univ.) MI2018-75
Lymphedema is a disease which is often created after treatment of cancer. In this study, detection of lymphedema is perf... [more] MI2018-75
pp.57-61
MICT, MI 2018-11-06
15:10
Hyogo University of Hyogo MICT2018-49 MI2018-49 (To be available after the conference date) [more] MICT2018-49 MI2018-49
pp.49-53
MICT, MI 2018-11-06
15:30
Hyogo University of Hyogo MICT2018-50 MI2018-50 (To be available after the conference date) [more] MICT2018-50 MI2018-50
pp.55-58
MICT, MI 2018-11-06
17:00
Hyogo University of Hyogo Fundamental study for relationship analysis between tissue density and sound of speed on glioma
Shu Kashio, Takashi Ohnishi, Takuya Ogawa, Kazuyo Ito, Seiichiro Hirono, Tadashi Yamaguchi, Yasuo Iwadate, Hideaki Haneishi (Chiba Univ.) MICT2018-54 MI2018-54
Physical characteristics associated with pathological diagnostic information of tumor provide important information for ... [more] MICT2018-54 MI2018-54
pp.67-70
 Results 1 - 20 of 74  /  [Next]  
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