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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 75  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
US 2024-06-28
13:00
Ishikawa Shiinoki Cultural Complex, Ishikawa Prefecture Depth estimation of blood vessels in optical coherence tomography angiography using template matching techniques
Takayuki Okamoto, Hiroki Okamura, Hideaki Haneishi (Chiba Univ.)
 [more]
MI, MICT 2023-11-14
11:10
Fukuoka   [Short Paper] Choroid layer extraction for 3D OCT images using a deep learning network fusing CNN and Transformer
Shingo Tamachi, Takayuki Okamoto, Takehito Iwase, Yuto Kawamata, Hirotaka Yokouchi, Hideaki Haneishi (Chiba Univ.) MICT2023-28 MI2023-21
The choroid, a dense vascular layer located in the fundus, accounts for the majority of the blood supply to the retina. ... [more] MICT2023-28 MI2023-21
pp.13-14
MI, MICT 2023-11-14
15:40
Fukuoka   Improving image quality of sparse-view micro-CT using Wasserstein GAN
Naoki Ikezawa, Takayuki Okamoto, Hideaki Haneishi (Chiba Univ.) MICT2023-36 MI2023-29
Applications of micro-CT in pathology and histology have been studied in recent years, and we need to shorten the scanni... [more] MICT2023-36 MI2023-29
pp.45-47
MI 2023-03-06
17:43
Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)
Relation Analysis between Endometrial Carcinoma of the Uterine Corpus and Proteins Relating to the DNA Replication Using Immunohistochemical Reaction
Rina Hiratsuka (Chiba Univ.), Fumikazu Kimura, Kengo Ohshima, Takumi Urata (Shinshu Univ.), Takayuki Okamoto, Hideaki Haneishi (Chiba Univ.) MI2022-99
Immunohistochemistry is a staining technique for visualizing the expression of specific proteins and identifying cell pr... [more] MI2022-99
pp.119-122
MI 2023-03-07
09:09
Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)
Development of the imaging system for Scratch-PET: intraoperative PET with a hand-held probe-type detector
Taiyo Ishikawa (Chiba Univ.), Yuma Iwao (QST/Chiba Univ.), Go Akamatsu, Sodai Takyu, Hideaki Tashima (QST), Takayuki Okamoto (Chiba Univ.), Taiga Yamaya (QST/Chiba Univ.), Hideaki Haneishi (Chiba Univ.) MI2022-104
We aimed at realizing a concept for the intraoperative PET imaging by scanning the surgical field with a hand-held detec... [more] MI2022-104
pp.131-135
MI 2023-03-07
10:38
Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)
[Short Paper] Proposal a robust respiratory gating method for rodent micro-CT imaging
Mahiru Fukushima, Takayuki Okamoto, Hideaki Haneishi (Chiba Univ.) MI2022-109
Micro-CT has recently been applied to in-vivo small animal imaging in preclinical studies such as drug discovery researc... [more] MI2022-109
pp.148-149
MI 2023-03-07
11:30
Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)
Construction of Automatic Photographing System to Observe Whole Skin Flap Necrosis of Model Rats
Momoka Takamiya, Riku Eto, Yoko Kurabuchi, Shinsuke Akita, Nobuyuki Mitsukawa, Takayuki Okamoto, Hideaki Haneishi (Chiba Univ.) MI2022-113
The skin flap’s transplantation replaces a defected skin with healthy skin and subcutaneous tissue with blood supply. In... [more] MI2022-113
pp.167-170
MI 2023-03-07
15:25
Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)
[Short Paper] An artifact reduction technique for sparse-view CT using frame interpolation
Takayuki Okamoto, Hideaki Haneishi (Chiba Univ.) MI2022-120
Sparse-view CT is an imaging technique that reconstructs images by reducing the number of projection data. Although spar... [more] MI2022-120
pp.190-191
MI 2023-03-07
17:42
Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)
[Short Paper] Choroid Extraction from 3D OCT Images by A Deep Learning Model
Shingo Tamachi, Takehito Iwase, Hirotaka Yokouchi, Takayuki Okamoto, Hideaki Haneishi (Chiba Univ.) MI2022-129
The choroid is a dense vascular layer located in the fundus. In recent years, clinical studies have shown an association... [more] MI2022-129
pp.221-222
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
14:43
Online Online Automatic evaluation of central facial palsy using video analysis
Naoki Ikezawa, Yoichi Yoshida, Satoru Kurihara, Nozomi Takahashi, Taka-aki Nakada, Hideki Haneishi (Chiba Univ.) MI2021-43
The central facial palsy is the facial palsy caused by an obstruction of the central nervous system due to a stroke and ... [more] MI2021-43
pp.3-5
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 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 2021-03-16
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 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
 Results 1 - 20 of 75  /  [Next]  
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