Abe O - Search Results

1

Large multimodality model fine-tuned for detecting breast and esophageal carcinomas on CT: a preliminary study.

Yasaka K, Kawamura M, Sonoda Y, Kubo T, Kiryu S, Abe O. Yasaka K, et al. Among authors: abe o. Jpn J Radiol. 2024 Dec 13. doi: 10.1007/s11604-024-01718-w. Online ahead of print. Jpn J Radiol. 2024. PMID: 39668277

2

Effects of deep learning on radiologists' and radiology residents' performance in identifying esophageal cancer on CT.

Yasaka K, Hatano S, Mizuki M, Okimoto N, Kubo T, Shibata E, Watadani T, Abe O. Yasaka K, et al. Among authors: abe o. Br J Radiol. 2023 Oct;96(1150):20220685. doi: 10.1259/bjr.20220685. Epub 2023 Apr 22. Br J Radiol. 2023. PMID: 37000686 Free PMC article.

3

Impact of rapid iodine contrast agent infusion on tracheal diameter and lung volume in CT pulmonary angiography measured with deep learning-based algorithm.

Yasaka K, Abe O. Yasaka K, et al. Among authors: abe o. Jpn J Radiol. 2024 Sep;42(9):1003-1011. doi: 10.1007/s11604-024-01591-7. Epub 2024 May 11. Jpn J Radiol. 2024. PMID: 38733470 Free PMC article.

4

Classification of Interventional Radiology Reports into Technique Categories with a Fine-Tuned Large Language Model.

Yasaka K, Nomura T, Kamohara J, Hirakawa H, Kubo T, Kiryu S, Abe O. Yasaka K, et al. Among authors: abe o. J Imaging Inform Med. 2024 Dec 13. doi: 10.1007/s10278-024-01370-w. Online ahead of print. J Imaging Inform Med. 2024. PMID: 39673010

5

Improving detection performance of hepatocellular carcinoma and interobserver agreement for liver imaging reporting and data system on CT using deep learning reconstruction.

Okimoto N, Yasaka K, Kaiume M, Kanemaru N, Suzuki Y, Abe O. Okimoto N, et al. Among authors: abe o. Abdom Radiol (NY). 2023 Apr;48(4):1280-1289. doi: 10.1007/s00261-023-03834-z. Epub 2023 Feb 9. Abdom Radiol (NY). 2023. PMID: 36757454 Free PMC article.

6

Deep learning reconstruction with single-energy metal artifact reduction in pelvic computed tomography for patients with metal hip prostheses.

Hosoi R, Yasaka K, Mizuki M, Yamaguchi H, Miyo R, Hamada A, Abe O. Hosoi R, et al. Among authors: abe o. Jpn J Radiol. 2023 Aug;41(8):863-871. doi: 10.1007/s11604-023-01402-5. Epub 2023 Mar 2. Jpn J Radiol. 2023. PMID: 36862290 Free PMC article.

7

Comparison of 1.5 T and 3 T magnetic resonance angiography for detecting cerebral aneurysms using deep learning-based computer-assisted detection software.

Tajima T, Akai H, Yasaka K, Kunimatsu A, Yoshioka N, Akahane M, Ohtomo K, Abe O, Kiryu S. Tajima T, et al. Among authors: abe o. Neuroradiology. 2023 Oct;65(10):1473-1482. doi: 10.1007/s00234-023-03216-8. Epub 2023 Aug 30. Neuroradiology. 2023. PMID: 37646791

8

Impact of deep learning on radiologists and radiology residents in detecting breast cancer on CT: a cross-vendor test study.

Yasaka K, Sato C, Hirakawa H, Fujita N, Kurokawa M, Watanabe Y, Kubo T, Abe O. Yasaka K, et al. Among authors: abe o. Clin Radiol. 2024 Jan;79(1):e41-e47. doi: 10.1016/j.crad.2023.09.022. Epub 2023 Oct 13. Clin Radiol. 2024. PMID: 37872026

9

Effects of Intravenous Infusion of Iodine Contrast Media on the Tracheal Diameter and Lung Volume Measured with Deep Learning-Based Algorithm.

Yasaka K, Saigusa H, Abe O. Yasaka K, et al. Among authors: abe o. J Imaging Inform Med. 2024 Aug;37(4):1609-1617. doi: 10.1007/s10278-024-01071-4. Epub 2024 Mar 6. J Imaging Inform Med. 2024. PMID: 38448759 Free PMC article.

10

Faster acquisition of magnetic resonance imaging sequences of the knee via deep learning reconstruction: a volunteer study.

Akai H, Yasaka K, Sugawara H, Furuta T, Tajima T, Kato S, Yamaguchi H, Ohtomo K, Abe O, Kiryu S. Akai H, et al. Among authors: abe o. Clin Radiol. 2024 Jun;79(6):453-459. doi: 10.1016/j.crad.2024.03.002. Epub 2024 Mar 26. Clin Radiol. 2024. PMID: 38614869

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