Machine Learning 1

Fri. Sep 7, 2018 9:10 AM - 10:20 AM Room 3 (Hotel Nikko Kanazawa, 4F, Tsuru C)

Chair:Koji Sakai（Clinical AI Research Lab, Deartment of Radiology, Kyoto Prefectural University of Medicine）

Oral

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[O1-048] A Deep Learning Approach to Synthesize FLAIR Image from T1WI and T2WI -2nd Report-. Relationship between Synthetic Image and Different Networks

Takashi Abe, Masafumi Harada (Department of Radiology, Tokushima University)

[O1-049] MR image-based differentiation of glioblastoma and primary central nervous system lymphoma with deep convolutional neural networks

Akira Kunimatsu^1,2, Koichiro Yasaka^1,2, Hiroyuki Akai^1,2, Natsuko Kunimatsu³, Kouhei Kamiya², Takeyuki Watadani⁴, Harsuhi Mori⁵, Osamu Abe⁵ (1.Department of Radiology, IMSUT Hospital, The University of Tokyo, 2.Department of Radiology, The University of Tokyo Hospital, 3.Department of Radiology, IUHW Mita Hospital, 4.Department of Radiology, Faculty of Medicine, The University of Tokyo, 5.Department of Radiology, Graduate School of Medicine, The University of Tokyo)

[O1-050] Machine learning based on multi-sequence texture parameters in magnetic resonance imaging to differentiate malignant and benign soft tissue tumors

Takeshi Nakaura, Tomohiro Namimoto, Mika Kitajima, Masataka Nakagawa, Hiroyuki Uetani, Seitaro Oda, Daisuke Utsunomiya, Yasuyuki Yamashita (Department of Diagnostic Radiology, Kumamoto University)

[O1-051] Model parameter inference for diffusion MRI signal models by using deep regression neural network and its validation

Yoshitaka Masutani, Koh Sasaki (Graduate School of Information Sciences, Hiroshima City University)

[O1-052] Development of a corrupted dataset detection and rejection algorithm using neural network for abdominal DWI

Daiki Tamada, Hiroshi Onishi, Utaroh Motosugi (Department of Radiology, University of Yamanashi)

[O1-053] Accelerating Compressed Sensing Image Reconstruction using Deep Learning

Shohei Ouchi, Satoshi Ito (Graduate School of Engineering Utsunomiya University)

[O1-054] Denoising of MR Images using Deep Convolutional Neural Network

Kohei Takano, Satoshi Ito (Graduate School of Engineering Utsunomiya University)