IEICE Technical Committee

Information and Systems-Medical Imaging(Date:2021/03/15)

Presentation

［ショートペーパー］Graph Convolutional Networkによる口唇口蓋裂患者の咬合評価

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[Date]2021-03-15
[Paper #]MI2020-51

Improvement of a skeletal recognition algorithm of bone scintigrams

Yuri Hoshino(TUAT), Atsushi Saito(TUAT), Atsushi Yoshida(Osaka City Univ), Shigeaki Higashiyama(Osaka City Univ), Joji Kwabe(Osaka City Univ), Hiromitsu Daisaki(GCHS), Kazuhiro Nishikawa(NMP), Akinobu Shimizu(TUAT),

[Date]2021-03-15
[Paper #]MI2020-47

Comparison of Deep Learning Reconstruction for MR Compressed Sensing

Shinya Abe(Utsunomiya Univ.), Shohei Ouchi(Utsunomiya Univ.), Satoshi Ito(Utsunomiya Univ.),

[Date]2021-03-15
[Paper #]MI2020-56

Real valued CNN based MR image reconstruction Robust to spatial phase variation

Shohei Ouchi(Utsunomiya Univ.), Satoshi Ito(Utsunomiya Univ.),

[Date]2021-03-15
[Paper #]MI2020-57

[Short Paper] Automatic Classification for Product Names and Treatment Stages of Dental Implants in Dental Panoramic Radiographs Using Deep Learning

Kazumasa Yoshii(Gifu Univ.), Shintaro Sukegawa(Kagawa Prefectural Central Hosp.), Takeshi Hara(Gifu Univ.), Katsusuke Yamashita(Towa Manufacturing), Keisuke Nakano(Okayama Univ. Grad. Sch.), Hitoshi Nagatsuka(Okayama Univ. Grad. Sch.), Yoshihiko Huruki(Kagawa Prefectural Central Hosp.),

[Date]2021-03-15
[Paper #]MI2020-52

Automatic estimation of the extent of osteomyelitis of the jaw by anomaly detection

Hideaki Hoshino(Mie Univ.), Kento Morita(Mie Univ.), Daisuke Takeda(Kobe Univ.), Takumi Hasegawa(Kobe Univ.), Tetsushi Wakabayashi(Mie Univ.),

[Date]2021-03-15
[Paper #]MI2020-53

Feasibility study of automatic extraction method of coronary artery stationary period using CNN

Remina Kasai(Kyorin Univ.), Yuta Endo(Kyorin Univ.), Haruna Shibou(Kyorin Univ.), Makoto Amanuma(Kyorin Univ.), Kuninori Kobayashi(Kyorin Univ.), Shigehide Kuhara(Kyorin Univ.),

[Date]2021-03-15
[Paper #]MI2020-61

A study on combination of parallel imaging and compressed sensing for improving the acceleration rate of MRI using Bloch simulator

Akihide Kanetaka(Kyorin Univ.), Yuta Endo(Kyorin Univ.), Haruna Shibou(Kyorin Univ.), Kuninori Kobayashi(Kyorin Univ.), Shigehide Kuhara(Kyorin Univ.),

[Date]2021-03-15
[Paper #]MI2020-58

Deep State-Space Modeling of FMRI Images with Disentangle Attributes

Koki Kusano(Kobe Univ.), Takashi Matsubara(Osaka Univ.), Kuniaki Uehara(Osaka Gakuin Univ.),

[Date]2021-03-15
[Paper #]MI2020-59

Analysis of important features in surgical planning for mandibular reconstruction among multiple surgeons

Yusuke Hatakeyama(Kyoto Univ.), Kazuki Nagai(Kyoto Univ.), Megumi Nakao(Kyoto Univ.), Tetsuya Matsuda(Kyoto Univ.),

[Date]2021-03-15
[Paper #]MI2020-55

Surgical planning model generation by extracting important feature sets in mandibular reconstruction

Kazuki Nagai(Kyoto Univ.), Megumi Nakao(Kyoto Univ.), Nobuhiro Ueda(Nara Medical Univ.), Yuichiro Imai(Rakuwakai Otowa Hospital), Toshihide Hatanaka(Nara Medical Univ.), Tadaaki Kirita(Nara Medical Univ.), Tetsuya Matsuda(Kyoto Univ.),

[Date]2021-03-15
[Paper #]MI2020-54

Improvement of extravasation detection ability using bone extraction method by adaptive threshold determination in contrast-enhanced CT images

Hiroki Kimura(Chiba Univ), Kumiko Arai(Chiba Univ), Nozomi Takahashi(Chiba Univ), Yuichiro Yoshimura(Toyama Univ), Takaaki Nakada(Chiba Univ), Toshiya Nakaguchi(Chiba Univ),

[Date]2021-03-15
[Paper #]MI2020-48

Evaluation of Bayesian Active Learning for Segmentation of Liver and Spleen in Large Scale Abdominal MR Data Sets

Bin Zhang(NAIST), Yoshito Otake(NAIST), Mazen Soufi(NAIST), Masatoshi Hori(Kobe University), Noriyuki Tomiyama(Osaka University), Yoshinobu Sato(NAIST),

[Date]2021-03-15
[Paper #]MI2020-60

Identification of implant type from total knee arthroplasty images using machine learning

Mayuko Kishino(SIT), Takaharu Yamazaki(SIT), Fumio Itami(SIT), Tetsuya Tomita(Osaka Univ.), Kazuomi Sugamoto(Osaka Univ.),

[Date]2021-03-15
[Paper #]MI2020-49

Automatic detection of knee joint from X-ray fluoroscopic images using deep learning and accuracy validation of 2D/3D registration

Hiroki Hayashida(SIT), Takaharu Yamazaki(SIT), Fumio Itami(SIT), Tetsuya Tomita(Osaka Univ.), Kazuomi Sugamoto(Osaka Univ.),

[Date]2021-03-15
[Paper #]MI2020-50

［特別講演］揺動MRIとグラビティMRI

Tosiaki Miyati(Kanazawa Univ.),

[Date]2021-03-15
[Paper #]MI2020-62

Tuberculosis in Chest CT Image Analysis based on multi-axis projections using Deep learning

Tetsuya Asakawa(Toyohashi Univ), Masaki Aono(Toyohashi Univ),