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Vanderbecq Q, Gelard M, Pesquet J-C et al. Deep learning for automatic bowel-obstruction identification on abdominal CT. Eur Radiol. 2024 Feb 22. doi: 10.1007/s00330-024-10657-z. Online ahead of print.

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Muhtasim N, Hany U, Islam T et al. Artificial intelligence for detection of lung cancer using transfer learning and morphological features. Supercomput. 2024. https://doi.org/10.1007/s11227-024-05942-z

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Qarni B, McGrath T, Aldhufian N, Schieda N. Prevalence of malignant or possibly malignant renal masses among homogeneous low-attenuation masses that are too small to characterize at computed tomography. Abdom Radiol (NY). 2023 Aug;48(8):2628-2635.

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Reizine E, Blain M, Pescatori L et al. Applicability of Bosniak 2019 for renal mass classification on portal venous phase at the era of spectral CT imaging using rapid kV-switching dual-energy CT. Eur Rad. 2023 Sep 4. doi: 10.1007/s00330-023-10145-w.

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Elsaid N, Bigliardi G, Maria Luisa Dell’Acqua ML et al., Proposal of multimodal computed tomography-based scoring system in prediction of hemorrhagic transformation in acute ischemic stroke. Acta Neurol Belg. 2023 Aug;123(4):1405-1411.

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Lin S-Y, Chiang P-L, Chen P-W et al., Toward automated segmentation for acute ischemic stroke using non-contrast computed tomography. Int J Comput Assist Radiol Surg. 2022 Apr;17(4):661-671.

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van den Boogert TPW, Claessen BEPM, Boekholdt SM et al. The impact and challenges of implementing CTCA according to the 2019 ESC guidelines on chronic coronary syndromes: a survey and projection of CTCA services in the Netherlands. Insights Imaging. 2021 Dec 18;12(1):186.

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Natale L, Vliegenthart R, Salgado R et al. Cardiac radiology in Europe: status and vision by the European Society of Cardiovascular Radiology (ESCR) and the European Society of Radiology (ESR). Eur Radiol. 2023 Aug;33(8):5489-5497.

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Laghi A, Tamburi V, Polici M et al. Management decisions of an Academic Radiology Department during COVID-19 pandemic: the important support of a business analytics software. Eur Radiol. 2022 Oct;32(10):7048-7055.

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Sammer MBK, Stahl A, Ozkan E, Sher AC. Implementation of a software distribution intervention to improve workload balance in an Academic Pediatric Radiology Department. J Digit Imaging. 2021 Jun;34(3):741-749.

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Shimada Y, Kudo Y, Maehara S et al. Artificial intelligence-based radiomics for the prediction of nodal metastasis in early-stage lung cancer. Sci Rep. 2023 Jan 19;13(1):1028.

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Chassagnon G, De Margerie-Mellon C, Vakalopoulou M et al. Artificial intelligence in lung cancer: current applications and perspectives. Jpn J Radiol. 2023 Mar;41(3):235-244.

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Flor N, Pickhardt PJ, Maconi G et al. CT colonography followed by elective surgery in patients with acute diverticulitis: a radiological-pathological correlation study. Abdom Radiol (NY). 2021 Feb;46(2):491-497.

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Wesp P, Grosu S, Graser A et al. Deep learning in CT colonography: differentiating premalignant from benign colorectal polyps. Eur Radiol. 2022 Jul;32(7):4749-4759.

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Tan M, Low HM, Shelat V, Tan CH. Imaging patterns in non-traumatic spleen lesions in adults-a review. Jpn J Radiol. 2022 Jul;40(7):664-677.

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Zhang M, Gu S, Yuhui S. The use of deep learning methods in low-dose computed tomography image reconstruction: a systematic review. Complex Intell Syst. 2022;8:5545-5561.

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Sato M, Ichikawa Y, Domae K et al. Deep learning image reconstruction for improving image quality of contrast-enhanced dual-energy CT in abdomen. Eur Radiol. 2022 Aug;32(8):5499-5507.

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Griffin LM. Computed tomography for aortic assessment in children. Pediatr Radiol. 2022 Dec;52(13):2470-2484.

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Malone LM, Morin CE, Browne LP. Coronary computed tomography angiography in children. Pediatr Radiol. 2022 Dec;52(13):2498-2509.

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Zucker EJ. Computed tomography in tetralogy of Fallot: pre- and postoperative imaging evaluation. Planning the Procedure Pediatr Radiol. 2022 Dec;52(13):2485-2497.

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