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Author/Creator Aoyagi, Kota

1. Comparative evaluation of newly developed model-based and commercially available hybrid-type iterative reconstruction methods and filter back projection method in terms of accuracy of computer-aided volumetry (CADv) for low-dose CT protocols in phantom study. Issue 8 (August 2016)

Authors:
Ohno, Yoshiharu; Yaguchi, Atsushi; Okazaki, Tomoya; Aoyagi, Kota; Yamagata, Hitoshi; Sugihara, Naoki; Koyama, Hisanobu; Yoshikawa, Takeshi; Sugimura, Kazuro
Journal:
European journal of radiology
Issue:
Volume 85:Issue 8(2016)
Page Start:
1375
Record Type:
Journal Article
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2. Comparison of computer-aided detection (CADe) capability for pulmonary nodules among standard-, reduced- and ultra-low-dose CTs with and without hybrid type iterative reconstruction technique. Issue 100 (March 2018)

Authors:
Ohno, Yoshiharu; Aoyagi, Kota; Chen, Qi; Sugihara, Naoki; Iwasawa, Tae; Okada, Fumito; Aoki, Takatoshi
Journal:
European journal of radiology
Issue:
Issue 100(2018)
Page Start:
49
Record Type:
Journal Article
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Available online (eLD content is only available in our Reading Rooms) ↗

3. Diagnostic performance of different imaging modalities in the assessment of distant metastasis and local recurrence of tumor in patients with non‐small cell lung cancer. Issue 6 (17th April 2017)

Authors:
Ohno, Yoshiharu; Yoshikawa, Takeshi; Kishida, Yuji; Seki, Shinichiro; Koyama, Hisanobu; Yui, Masao; Kassai, Yoshimori; Aoyagi, Kota; Kaminaga, Shigeo; Sugimura, Kazuro
Journal:
Journal of magnetic resonance imaging
Issue:
Volume 46:Issue 6(2017)
Page Start:
1707
Record Type:
Journal Article
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4. Machine learning for lung CT texture analysis: Improvement of inter-observer agreement for radiological finding classification in patients with pulmonary diseases. Issue 134 (January 2021)

Authors:
Ohno, Yoshiharu; Aoyagi, Kota; Takenaka, Daisuke; Yoshikawa, Takeshi; Ikezaki, Aina; Fujisawa, Yasuko; Murayama, Kazuhiro; Hattori, Hidekazu; Toyama, Hiroshi
Journal:
European journal of radiology
Issue:
Issue 134(2021)
Page Start:
Record Type:
Journal Article
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Available online (eLD content is only available in our Reading Rooms) ↗

5. Machine learning for lung texture analysis on thin-section CT: Capability for assessments of disease severity and therapeutic effect for connective tissue disease patients in comparison with expert panel evaluations. (October 2022)

Authors:
Ohno, Yoshiharu; Aoyagi, Kota; Takenaka, Daisuke; Yoshikawa, Takeshi; Fujisawa, Yasuko; Sugihara, Naoki; Hamabuchi, Nayu; Hanamatsu, Satomu; Obama, Yuki; Ueda, Takahiro; Hattori, Hidekazu; Murayama, Kazuhiro; Toyama, Hiroshi
Journal:
Acta radiologica
Issue:
Volume 63:Number 10(2022)
Page Start:
1363
Record Type:
Journal Article
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Available online (eLD content is only available in our Reading Rooms) ↗