Liver Fibrosis: Deep Convolutional Neural Network for Staging by Using Gadoxetic Acid-enhanced Hepatobiliary Phase MR Images von Yasaka, Koichiro, Akai, Hiroyuki, Kunimatsu, Akira, Abe, Osamu, Kiryu, Shigeru

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MRI findings in posttraumatic stress disorder von Kunimatsu, Akira, Yasaka, Koichiro, Akai, Hiroyuki, Kunimatsu, Natsuko, Abe, Osamu

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Deep learning with convolutional neural network in radiology von Yasaka, Koichiro, Akai, Hiroyuki, Kunimatsu, Akira, Kiryu, Shigeru, Abe, Osamu

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Prediction of bone mineral density from computed tomography: application of deep learning with a convolutional neural network von Yasaka, Koichiro, Akai, Hiroyuki, Kunimatsu, Akira, Kiryu, Shigeru, Abe, Osamu

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Motion correction in MR image for analysis of VSRAD using generative adversarial network von Yoshida, Nobukiyo, Kageyama, Hajime, Akai, Hiroyuki, Yasaka, Koichiro, Sugawara, Haruto, Okada, Yukinori, Kunimatsu, Akira

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Clinical Impact of Deep Learning Reconstruction in MRI von Kiryu, Shigeru, Akai, Hiroyuki, Yasaka, Koichiro, Tajima, Taku, Kunimatsu, Akira, Yoshioka, Naoki, Akahane, Masaaki, Abe, Osamu, Ohtomo, Kuni

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Deep learning to differentiate parkinsonian disorders separately using single midsagittal MR imaging: a proof of concept study von Kiryu, Shigeru, Yasaka, Koichiro, Akai, Hiroyuki, Nakata, Yasuhiro, Sugomori, Yusuke, Hara, Seigo, Seo, Maria, Abe, Osamu, Ohtomo, Kuni

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Texture Analysis in Brain Tumor MR Imaging von Kunimatsu, Akira, Yasaka, Koichiro, Akai, Hiroyuki, Sugawara, Haruto, Kunimatsu, Natsuko, Abe, Osamu

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Clinical feasibility of an abdominal thin-slice breath-hold single-shot fast spin echo sequence processed using a deep learning-based noise-reduction approach von Tajima, Taku, Akai, Hiroyuki, Yasaka, Koichiro, Kunimatsu, Akira, Akahane, Masaaki, Yoshioka, Naoki, Abe, Osamu, Ohtomo, Kuni, Kiryu, Shigeru

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Commercially Available Deep-learning-reconstruction of MR Imaging of the Knee at 1.5T Has Higher Image Quality Than Conventionally-reconstructed Imaging at 3T: A Normal Volunteer S... von Akai, Hiroyuki, Yasaka, Koichiro, Sugawara, Haruto, Tajima, Taku, Akahane, Masaaki, Yoshioka, Naoki, Ohtomo, Kuni, Abe, Osamu, Kiryu, Shigeru

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Machine Learning-based Texture Analysis of Contrast-enhanced MR Imaging to Differentiate between Glioblastoma and Primary Central Nervous System Lymphoma von Kunimatsu, Akira, Kunimatsu, Natsuko, Yasaka, Koichiro, Akai, Hiroyuki, Kamiya, Kouhei, Watadani, Takeyuki, Mori, Harushi, Abe, Osamu

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Parkinson’s disease: deep learning with a parameter-weighted structural connectome matrix for diagnosis and neural circuit disorder investigation von Yasaka, Koichiro, Kamagata, Koji, Ogawa, Takashi, Hatano, Taku, Takeshige-Amano, Haruka, Ogaki, Kotaro, Andica, Christina, Akai, Hiroyuki, Kunimatsu, Akira, Uchida, Wataru, Hattori, Nobutaka, Aoki, Shigeki, Abe, Osamu

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Impact of hepatocellular carcinoma heterogeneity on computed tomography as a prognostic indicator von Kiryu, Shigeru, Akai, Hiroyuki, Nojima, Masanori, Hasegawa, Kiyoshi, Shinkawa, Hiroji, Kokudo, Norihiro, Yasaka, Koichiro, Ohtomo, Kuni

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Application of CT texture analysis to assess the localization of primary aldosteronism von Akai, Hiroyuki, Yasaka, Koichiro, Kunimatsu, Akira, Ohtomo, Kuni, Abe, Osamu, Kiryu, Shigeru

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Association of coagulopathy with liver dysfunction in patients with COVID‐19 von Tsutsumi, Takeya, Saito, Makoto, Nagai, Hiroyuki, Yamamoto, Shinya, Ikeuchi, Kazuhiko, Lim, Lay Ahyoung, Adachi, Eisuke, Koga, Michiko, Okushin, Kazuya, Akai, Hiroyuki, Kunimatsu, Akira, Yotsuyanagi, Hiroshi

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Quantitative computed tomography texture analysis for estimating histological subtypes of thymic epithelial tumors von Yasaka, Koichiro, Akai, Hiroyuki, Nojima, Masanori, Shinozaki-Ushiku, Aya, Fukayama, Masashi, Nakajima, Jun, Ohtomo, Kuni, Kiryu, Shigeru

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Effects of Gadolinium Deposition in the Brain on Motor or Behavioral Function: A Mouse Model von Akai, Hiroyuki, Miyagawa, Kazuya, Takahashi, Kohei, Mochida-Saito, Atsumi, Kurokawa, Kazuhiro, Takeda, Hiroshi, Tsuji, Minoru, Sugawara, Haruto, Yasaka, Koichiro, Kunimatsu, Akira, Inoue, Yusuke, Abe, Osamu, Ohtomo, Kuni, Kiryu, Shigeru

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PEG‐poly(L‐lysine)‐based polymeric micelle MRI contrast agent: Feasibility study of a Gd‐micelle contrast agent for MR lymphography von Akai, Hiroyuki, Shiraishi, Kouichi, Yokoyama, Masayuki, Yasaka, Koichiro, Nojima, Masanori, Inoue, Yusuke, Abe, Osamu, Ohtomo, Kuni, Kiryu, Shigeru

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Acceleration of knee magnetic resonance imaging using a combination of compressed sensing and commercially available deep learning reconstruction: a preliminary study von Akai, Hiroyuki, Yasaka, Koichiro, Sugawara, Haruto, Tajima, Taku, Kamitani, Masaru, Furuta, Toshihiro, Akahane, Masaaki, Yoshioka, Naoki, Ohtomo, Kuni, Abe, Osamu, Kiryu, Shigeru

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Deep Learning with Convolutional Neural Network for Differentiation of Liver Masses at Dynamic Contrast-enhanced CT: A Preliminary Study von Yasaka, Koichiro, Akai, Hiroyuki, Abe, Osamu, Kiryu, Shigeru

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