Information and Systems-Image Engineering(Date:2019/09/04)

Presentation
Inter-frame interpolation by height constraint for sequential human silhouette images

Daisuke Imoto(NRIPS),  Kenji Kurosawa(NRIPS),  Masakatsu Honma(NRIPS),  Ryo Yokota(NRIPS),  Manato Hirabayashi(NRIPS),  Yoshinori Hawai(NRIPS),  

[Date]2019-09-04
[Paper #]PRMU2019-19,MI2019-38
[Short Paper] Quantitative evaluation of lymph nodes in colorectal cancer using 3-phase abdominal CT images

Ren Nishimoto(Tokushima Univ.),  Hidenobu Suzuki(Tokushima Univ.),  Yoshiki Kawata(Tokushima Univ.),  Noboru Niki(Tokushima Univ.),  Gen Iinuma(NCC),  

[Date]2019-09-04
[Paper #]PRMU2019-14,MI2019-33
Analysis of pneumothorax deformation for in vivo animal lungs using model-based registration

Kotaro Kobayashi(Kyoto Univ.),  Megumi Nakao(Kyoto Univ.),  Junko Tokuno(Kyoto Univ. Hospital),  Toyofumi F. Chen-Yoshikawa(Kyoto Univ. Hospital),  Hiroshi Date(Kyoto Univ. Hospital),  Tetsuya Matsuda(Kyoto Univ.),  

[Date]2019-09-04
[Paper #]PRMU2019-17,MI2019-36
加重方程式に基づく大規模顔認識系における統計処理の利用について

Takeshi Shakunaga(Okayama Univ.),  

[Date]2019-09-04
[Paper #]PRMU2019-18,MI2019-37
［ショートペーパー］CNNによる群集画像中の人数とその分布の推定

Daisuke Oba(Kyushu Univ.),  Masaki Onishi(AIST),  

[Date]2019-09-04
[Paper #]PRMU2019-20,MI2019-39
Domain-adversarial multiple instance learning for subtype classification of malignant lymphoma

Daisuke Fukushima(Nagoya Inst. of Tech),  Ryoichi Koga(Nagoya Inst. of Tech),  Noriaki Hashimoto(Nagoya Inst. of Tech),  Kaho Ko(Nagoya Inst. of Tech),  Masato Nakaguro(Nagoya Univ. Hospital),  Kei Kohno(Nagoya Univ. Hospital),  Shigeo Nakamura(Nagoya Univ. Hospital),  Hidekata Hontani(Nagoya Inst of Tech),  Ichiro Takeuchi(Nagoya Inst. of Tech/RIKEN/NIMS),  

[Date]2019-09-04
[Paper #]PRMU2019-15,MI2019-34
Preliminary investigation on decomposition of individual muscles and bones of lower extremity from single radiograph using CycleGAN

Naoki Nakanishi(NAIST),  Yuta Hiasa(NAIST),  Yoshito Otake(NAIST),  Masaki Takao(Osaka Univ.),  Nobuhiko Sugano(Osaka Univ.),  Yoshinobu Sato(NAIST),  

[Date]2019-09-04
[Paper #]PRMU2019-16,MI2019-35
［特別講演］脳波の信号処理と機械学習：ブレイン・マシン・インタフェースと医療脳波への応用

Toshihisa Tanaka(TUAT),  

[Date]2019-09-04
[Paper #]
マルチタスク学習による大腸内視鏡画像の部位及び所見分類

Kentaro Abe(Kyushu Univ.),  Hideaki Hayashi(Kyushu Univ.),  Ryoma Bise(Kyushu Univ.),  Takuji Kawamura(Kyoto Second Red Cross Hospital),  Naokuni Sakiyama(Kyoto Second Red Cross Hospital),  Kiyohito Tanaka(Kyoto Second Red Cross Hospital),  Seiichi Uchida(Kyushu Univ.),  

[Date]2019-09-04
[Paper #]PRMU2019-13,MI2019-32
正例自動サンプリングPositive Unlabeled-Learningを用いた光超音波画像における体毛領域認識

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[Date]2019-09-04
[Paper #]PRMU2019-12,MI2019-31
［ショートペーパー］時系列3D CNN回帰モデルによる細胞分裂認識

Kazuya Nishimura(Kyushu Univ.),  Junya Hayashida(Kyushu Univ.),  Ryoma Bise(Kyushu Univ.),  

[Date]2019-09-05
[Paper #]PRMU2019-22,MI2019-41
A method for visualizing the cause of misrecognition in object recognition using CNN

Tomonori Kubota(Fujitsu Lab.),  Yasuyuki Murata(FST),  Yoshifumi Uehara(Fujitsu Lab.),  Akira Nakagawa(Fujitsu Lab.),  

[Date]2019-09-05
[Paper #]PRMU2019-25,MI2019-44
Rough domain adaptation through model selection for neural networks

Azusa Sawada(NEC),  Takashi Shibata(NEC),  Shoji Yachida(NEC),  

[Date]2019-09-05
[Paper #]PRMU2019-27,MI2019-46
Hierarchical Classification to Detect Type of Diseases and Abnormality Simultaneously in Optical Coherence Tomography Images

Yudai Kato(CRESCO),  Yuji Ayatsuka(CRESCO),  Takaki Uta(CRESCO),  Soichiro Kuwayama(Nagoya City University),  Hideaki Usui(Nagoya City University),  Aki Kato(Nagoya City University),  Yuichiro Ogura(Nagoya City University),  Tsutomu Yasukawa(Nagoya City University),  

[Date]2019-09-05
[Paper #]PRMU2019-26,MI2019-45
[Short Paper] Dynamic PET Image Reconstruction using Non-Negative Matrix Decomposition with Deep Image Prior

Tomoshige Shimomura(NIT),  Kazuya Kawai(NIT),  Muneyuki Sakata(Tokyo Metro. Inst. Gerontology),  Yuichi Kimura(KU),  Tatsuya Yokota(NIT),  Hidekata Hontani(NIT),  

[Date]2019-09-05
[Paper #]PRMU2019-24,MI2019-43
Metal artifact reduction using CycleGAN for CT images

Megumi Nakao(Kyoto Univ.),  Kieho Imanishi(e-Grwoth),  Nobuhiro Ueda(Nara Med.),  Yuichiro Imai(Otowa Hosp.),  Tadaaki Kirita(Nara Med.),  Tetsuya Matsuda(Kyoto Univ.),  

[Date]2019-09-05
[Paper #]PRMU2019-23,MI2019-42
Active learning based on self-supervised feature learning

Shunsuke Tsukatani(NTT),  Kazuhiko Murasaki(NTT),  Shingo Andou(NTT),  jun Shimamura(NTT),  

[Date]2019-09-05
[Paper #]PRMU2019-28,MI2019-47
Analysis and Feature Selection of CNN Features

Hayato Itoh(Nagoya Univ.),  Yuichi Mori(Showa Univ.),  Masashi Misawa(Showa Univ.),  Masahiro Oda(Nagoya Univ.),  Shin-Ei Kudo(Showa Univ.),  Kensaku Mori(Nagoya Univ.),  

[Date]2019-09-05
[Paper #]PRMU2019-29,MI2019-48
Mixed Domain Learning for Computer-aided Diagnosis of Endoscopy Images in Deep Convolutional Neural Networks

Yuta Kochi(Tsukuba Univ./AIST),  Hirokazu Nosato(AIST),  Masahiro Murakawa(AIST),  Hidenori Sakanashi(AIST),  

[Date]2019-09-05
[Paper #]PRMU2019-30,MI2019-49
[Short Paper] Soft-constrained clustering for facilitating image labeling

Ryoma Bise(Kyushu Univ.),  Kentaro Abe(Kyushu Univ.),  Hideaki Hayashi(Kyushu Univ.),  Kiyohito Tanaka(Kyoto Second Red Cross Hospital),  Seiichi Uchida(Kyushu Univ.),  

[Date]2019-09-05
[Paper #]PRMU2019-21,MI2019-40