Literature DB >> 31797197

Celebrating the beginning of international journal collaboration.

Shinji Naganawa1, Yukunori Korogi2.   

Abstract

Year:  2020        PMID： 31797197      PMCID： PMC7197633          DOI： 10.1007/s11604-019-00904-5

Source DB:  PubMed          Journal:  Jpn J Radiol        ISSN： 1867-1071            Impact factor:   2.374


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  11 in total

1.  Distinction between benign and malignant breast masses at breast ultrasound using deep learning method with convolutional neural network.

Authors:  Tomoyuki Fujioka; Kazunori Kubota; Mio Mori; Yuka Kikuchi; Leona Katsuta; Mai Kasahara; Goshi Oda; Toshiyuki Ishiba; Tsuyoshi Nakagawa; Ukihide Tateishi
Journal:  Jpn J Radiol       Date:  2019-03-19       Impact factor: 2.374

Review 2.  The day when computers read between lines.

Authors:  Kei Yamada; Susumu Mori
Journal:  Jpn J Radiol       Date:  2019-03-25       Impact factor: 2.374

Review 3.  Technical and clinical overview of deep learning in radiology.

Authors:  Daiju Ueda; Akitoshi Shimazaki; Yukio Miki
Journal:  Jpn J Radiol       Date:  2018-12-01       Impact factor: 2.374

Review 4.  Improvement of image quality at CT and MRI using deep learning.

Authors:  Toru Higaki; Yuko Nakamura; Fuminari Tatsugami; Takeshi Nakaura; Kazuo Awai
Journal:  Jpn J Radiol       Date:  2018-11-29       Impact factor: 2.374

Review 5.  Machine learning studies on major brain diseases: 5-year trends of 2014-2018.

Authors:  Koji Sakai; Kei Yamada
Journal:  Jpn J Radiol       Date:  2018-11-29       Impact factor: 2.374

Review 6.  Recent technical development of artificial intelligence for diagnostic medical imaging.

Authors:  Norio Nakata
Journal:  Jpn J Radiol       Date:  2019-01-31       Impact factor: 2.374

Review 7.  Pelvic floor dysfunctions: how to image patients?

Authors:  Francesca Iacobellis; Alfonso Reginelli; Daniela Berritto; Giuliano Gagliardi; Antonietta Laporta; Antonio Brillantino; Adolfo Renzi; Mariano Scaglione; Gabriele Masselli; Antonio Barile; Luigia Romano; Salvatore Cappabianca; Roberto Grassi
Journal:  Jpn J Radiol       Date:  2019-12-16       Impact factor: 2.374

8.  Correction to: Ultra-high-resolution computed tomography can demonstrate alveolar collapse in novel coronavirus (COVID-19) pneumonia.

Authors:  Tae Iwasawa; Midori Sato; Takafumi Yamaya; Yozo Sato; Yoshinori Uchida; Hideya Kitamura; Eri Hagiwara; Shigeru Komatsu; Daisuke Utsunomiya; Takashi Ogura
Journal:  Jpn J Radiol       Date:  2020-05       Impact factor: 2.374

9.  Machine learning-based quantitative texture analysis of conventional MRI combined with ADC maps for assessment of IDH1 mutation in high-grade gliomas.

Authors:  Deniz Alis; Omer Bagcilar; Yeseren Deniz Senli; Mert Yergin; Cihan Isler; Naci Kocer; Civan Islak; Osman Kizilkilic
Journal:  Jpn J Radiol       Date:  2019-11-18       Impact factor: 2.374

10.  COVID-19 pneumonia: infection control protocol inside computed tomography suites.

Authors:  Kento Nakajima; Hideaki Kato; Tsuneo Yamashiro; Toshiharu Izumi; Ichiro Takeuchi; Hideaki Nakajima; Daisuke Utsunomiya
Journal:  Jpn J Radiol       Date:  2020-03-17       Impact factor: 2.374
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