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Technical Committee on Medical Imaging (MI) (Searched in: 2021)
Search Results: Keywords 'from:2022-01-25 to:2022-01-25'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI | 2022-01-25 14:30 |
Online | Online | Practical quantitative method of regional cerebral blood flow: diffusion imaging with phase-contrast (DIP) Genki Nambu, Naoki Ohno, Tosiaki Miyati, Fumiki Sugita, Yuki Makino, Momoka Ikeda (Kanazawa Univ.), Noam Alperin (UM), Toshifumi Gabata, Satoshi Kobayashi (Kanazawa Univ.)  MI2021-42 |
Perfusion-related diffusion coefficient (D*) in intravoxel incoherent motion analysis is closely correlated with the reg... [more] | MI2021-42 pp.1-2 |
| 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 | 2022-01-25 14:56 |
Online | Online | Automatic Segmentation of Infant Brain Ventricles with Hydrocephalus in MRI Based on Deep Multi-path Learning Jinbo Hikari, Yiwamoto Yutaro, Yen Wei Chen (Ritsumeikan Univ.), Nonaka Masahiro (Kansai Medical Univ.) MI2021-44 |
(To be available after the conference date) [more] | MI2021-44 pp.6-9 |
| MI | 2022-01-25 15:09 |
Online | Online | Building of surgical support environment by surgical support analysis via high-speed network in brain tumor surgery Asahi Nakamura, Ikuma Sato (FUN), Manabu Tamura, Tomoko Yamaguchi, Kaori Kusuda, Kitaro Yoshimitsu, Yoshihiro Muragaki, Ken Masamune (TWMU), Yuichi Fujino (FUN) MI2021-45 |
Brain tumor surgery requires a high level of judgment based on knowledge and experience by the primary surgeon. SCOT, a ... [more] | MI2021-45 pp.10-13 |
| MI | 2022-01-25 15:22 |
Online | Online | MI2021-46 |
(To be available after the conference date) [more] | MI2021-46 pp.14-15 |
| MI | 2022-01-25 15:45 |
Online | Online | Exploiting Perfusion MR Features for Salivary Gland Tumor Classification Keita Takeda, Misa Sumi, Tomoya Sakai (Nagasaki Univ.) MI2021-47 |
Learning perfusion features from dynamic contrast-enhanced MRI is effective for classification of salivary gland tumors.... [more] | MI2021-47 pp.16-21 |
| MI | 2022-01-25 15:58 |
Online | Online | Development of manipulation assistance for OMS drilling training simulator using VR devices in sagittal split ramus osteotomy Shunichi Tanaka, Yoshiyuki Kagiyama, Norihiro Nakamura, Koichiro Ueki, Akinori Moroi (Univ. of Yamanashi), Yoshihiro Kuroda (Univ. of Tsukuba), Yasumi Ito, Yoshiyuki Noda (Univ. of Yamanashi), Shunsuke Yoshimoto (The Univ. of Tokyo), Osamu Oshiro (Osaka Univ.) MI2021-48 |
Sagittal split ramus osteotomy is the most commonly performed for jaw deformity patients in oral and maxillofacial surge... [more] | MI2021-48 pp.22-27 |
| MI | 2022-01-25 16:11 |
Online | Online | Uveitis Lesion Detection Using Ultra-Wide Field Fluorescein Angiography Imaging Registration Tomoki Wakitani (Univ. of Shiga Prefecture), Yuji Hatanaka (Oita Univ.), Hiroshi Keino (Kyorin Univ.), Wataru Sunayama (Univ. of Shiga Prefecture) MI2021-49 |
Uveitis is a group of diseases that cause inflammation of the uvea and may lead to blindness. Fluorescein fundus angiogr... [more] | MI2021-49 pp.28-31 |
| 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 | 2022-01-25 16:37 |
Online | Online | [Short Paper]
Recognition of teeth and dental prostheses in dental panoramic radiographs using multi-label detection Takumi Morishita (Gifu Univ.), Chisako Muramatsu (Shiga Univ.), Ryo Takahashi, Tatsuro Hayashi (media), Yuta Seino (Gifu Univ.), Wataru Nishiyama (Asahi Univ.), Xiangrong Zhou, Takeshi Hara (Gifu Univ.), Akitoshi Katsumata (Asahi Univ.), Hiroshi Fujita (Gifu Univ.) MI2021-51 |
The purpose of this study is to analyze dental panoramic radiographs for completing dental files to contribute to the di... [more] | MI2021-51 pp.37-38 |
| MI | 2022-01-26 10:00 |
Online | Online | MI2021-52 |
In this report, we propose a method for constructing a statistical intensity model of blood vessels in thoracic CT image... [more] | MI2021-52 pp.39-40 |
| MI | 2022-01-26 10:13 |
Online | Online | [Short Paper]
Abnormality Detection for Covid-19 Chest CT Images by Dimensionality Reduction Based on Contrastive Learning Hiroki Tobise, Kugler Mauricio, Tatsuya Yokota (NITech), Masahiro Hashimoto (Keio Univ.), Yoshito Otake (NAIST), Toshiaki Akashi (Juntendo Univ.), Akinobu Shimizu (TUAT), Hidekata Hontani (NITech) MI2021-53 |
In this article, we propose a method that detects anomaly regions in chest CT images for the aid of Covid-19 diagnosis. ... [more] | MI2021-53 pp.41-42 |
| MI | 2022-01-26 10:26 |
Online | Online | MI2021-54 |
[more] | MI2021-54 pp.43-44 |
| MI | 2022-01-26 10:39 |
Online | Online | [Short Paper]
Counting of alveoli in synchrotron radiation 3D CT images using U-Net Keisuke Fukuda, Kurumi Saito, Yoshiki Kawata (Tokushima Univ.), Keiji Umetani (JASRI), Yasutaka Nakano (Shiga Med Univ), Hiroaki Sakai (AGMC), Toshihiro Okamoto (Cleveland Clinic), Noboru Niki (Medical Science Institute Inc.) MI2021-55 |
[more] | MI2021-55 pp.45-46 |
| MI | 2022-01-26 10:52 |
Online | Online | [Short Paper]
Mediastinal blood vessels segmentation of non-contrast CT images using 3D U-Net Hidenobu Suzuki, Mikio Matsuhiro, Yoshiki Kawata (Tokushima Univ.), Toshihiko Sugiura, Nobuhiro Tanabe (Chiba Univ.), Yuji Matsumoto, Takaaki Tsuchida, Masahiko Kusumoto (National Cancer Center Hospital), Masahiro Kaneko (Tokyo Health Service Association), Noboru Niki (Medical Science Institute Inc.) MI2021-56 |
[more] | MI2021-56 pp.47-48 |
| MI | 2022-01-26 11:05 |
Online | Online | Study on automatic generation of COVID-19 related radiology reports from chest CT images Shinji Okazaki, Yuichiro Hayashi, Masahiro Oda (Nagoya Univ.), Masahiro Hashimoto, Masahiro Jinzaki (Keio Univ.), Toshiaki Akashi, Shigeki Aoki (Juntendo Univ.), Kensaku Mori (Nagoya Univ./NII) MI2021-57 |
In this paper, we describe a study on automatic generation of COVID-19 related radiology reports from chest CT images. T... [more] | MI2021-57 pp.49-54 |
| MI | 2022-01-26 11:31 |
Online | Online | Investigation of post implementation training for medical image reading support systems Chisako Muramatsu (Shiga Univ), Mizuho Nishio (Kobe Univ), Masahiro Yakami (Kyoto Univ), Takeshi Kubo (Tenri Hospital), Mikinao Ooiwa (Nagoya Medical Center), Hiroshi Fujita (Gifu Univ) MI2021-58 |
It is desirable to have robust image interpretation support systems that can obtain the equivalent accuracy for images a... [more] | MI2021-58 pp.55-58 |
| MI | 2022-01-26 13:00 |
Online | Online | Relationship between Image Quality and Learning Effect in Color Laparoscopic Images Generation by Generative Adversarial Networks Norifumi Kawabata (Hokkaido Univ.), Toshiya Nakaguchi (Chiba Univ.) MI2021-59 |
Improving of personal computer performance, it is possible for healthcare workers and related researchers to support for... [more] | MI2021-59 pp.59-64 |
| MI | 2022-01-26 13:13 |
Online | Online | Analysis of renal volume using multiposture MRI during posture change Koga Kawano, Tosiaki Miyati, Naoki Ohno, Seiya Nakagawa, Yuki Oda, Satoshi Kobayashi (Kanazawa Univ.) MI2021-60 |
We evaluated changes in renal volume with postural changes in the supine and upright positions using an original MRI tha... [more] | MI2021-60 pp.65-66 |
| MI | 2022-01-26 13:26 |
Online | Online | Analysis of renal function using multiposture MRI during posture change Seiya Nakagawa, Tosiaki Miyati, Naoki Ohno, Yuki Oda, Koga Kawano, Satoshi Kobayashi (Kanazawa Univ.) MI2021-61 |
We assessed the effect of posture change on regional kidney function in the supine and upright positions using an origin... [more] | MI2021-61 pp.67-69 |
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