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Radiologists with and without deep learning-based computer-aided diagnosis: comparison of performance and interobserver agreement for characterizing and diagnosing pulmonary nodules/masses.
Wataya T, Yanagawa M, Tsubamoto M, Sato T, Nishigaki D, Kita K, Yamagata K, Suzuki Y, Hata A, Kido S, Tomiyama N; Osaka University Reading Team. Wataya T, et al. Among authors: suzuki y. Eur Radiol. 2023 Jan;33(1):348-359. doi: 10.1007/s00330-022-08948-4. Epub 2022 Jun 25. Eur Radiol. 2023. PMID: 35751697
Multi-organ segmentation in abdominal CT images.
Okada T, Linguraru MG, Hori M, Suzuki Y, Summers RM, Tomiyama N, Sato Y. Okada T, et al. Among authors: suzuki y. Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:3986-9. doi: 10.1109/EMBC.2012.6346840. Annu Int Conf IEEE Eng Med Biol Soc. 2012. PMID: 23366801 Free PMC article.
Bimodal artificial intelligence using TabNet for differentiating spinal cord tumors-Integration of patient background information and images.
Kita K, Fujimori T, Suzuki Y, Kanie Y, Takenaka S, Kaito T, Taki T, Ukon Y, Furuya M, Saiwai H, Nakajima N, Sugiura T, Ishiguro H, Kamatani T, Tsukazaki H, Sakai Y, Takami H, Tateiwa D, Hashimoto K, Wataya T, Nishigaki D, Sato J, Hoshiyama M, Tomiyama N, Okada S, Kido S. Kita K, et al. Among authors: suzuki y. iScience. 2023 Sep 14;26(10):107900. doi: 10.1016/j.isci.2023.107900. eCollection 2023 Oct 20. iScience. 2023. PMID: 37766987 Free PMC article.
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