Feasibility of virtual T2-weighted fat-saturated breast MRI images by convolutional neural networks by Andrzej Liebert, Dominique Hadler, Chris Ehring, Hannes Schreiter, Luise Brock, Lorenz A. Kapsner, Jessica Eberle, Ramona Erber, Julius Emons, Frederik B. Laun, Michael Uder, Evelyn Wenkel, Sabine Ohlmeyer, Sebastian Bickelhaupt

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Auto-Segmentation via deep-learning approaches for the assessment of flap volume after reconstructive surgery or radiotherapy in head and neck cancer by Juliette Thariat, Zacharia Mesbah, Youssef Chahir, Arnaud Beddok, Alice Blache, Jean Bourhis, Abir Fatallah, Mathieu Hatt, Romain Modzelewski

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Real-Time Encrypted Traffic Classification with Deep Learning by Onur Demir, Deniz Tuana Ergönül

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The Use of Machine Learning to Support the Diagnosis of Oral Alterations by Rosana Leal do Prado, Juliane Avansini Marsicano, Amanda Keren Frois, Jacques Duílio Brancher

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The biological and functional restoration of spinal cord injury by JIAN Feng‐zeng, YANG Qi‐qi, DUAN Wan‐ru

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AI-augmented reconstruction provides improved image quality and enables shorter breath-holds in contrast-enhanced liver MRI by Francesca Castagnoli, Mihaela Rata, Joshua Shur, Georgina Hopkinson, Alison Macdonald, David Stockton, Marcel Dominik Nickel, Stephan Kannengiesser, Christina Messiou, Dow-Mu Koh, Jessica Mary Winfield

Subjects: “…Liver neoplasms, Magnetic resonance imaging, Neural networks (computer)…”
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Advancing deep learning-based segmentation for multiple lung cancer lesions in real-world multicenter CT scans by Xavier Rafael-Palou, Ana Jimenez-Pastor, Luis Martí-Bonmatí, Carlos F. Muñoz-Nuñez, Mario Laudazi, Ángel Alberich-Bayarri

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Deep learning detects retropharyngeal edema on MRI in patients with acute neck infections by Oona Rainio, Heidi Huhtanen, Jari-Pekka Vierula, Janne Nurminen, Jaakko Heikkinen, Mikko Nyman, Riku Klén, Jussi Hirvonen

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Establishment and validation of a combined diagnostic model for aldosterone-producing adenoma of the adrenal gland based on CT radiomics and clinical features by ZHANG Mingquan, LIU Jingjing, LIN Xin, FU Min, FENG Ying, CHEN Jingjing

Subjects: “…hyperaldosteronism|adrenal gland diseases|tomography, x-ray computed|imaging genomics|neural networks, computer|diagnosis, computer-assisted…”
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The clinical significance of the ACRG classification in gastric adenocarcinoma and the establishment of a p53 expression prediction model based on biopsy histopathology by LIU Xinyu, LIU Yinbo, LIU Shunli, ZHAO Han, SONG Yaolin, XING Xiaoming

Subjects: “…stomach neoplasms|adenocarcinoma|acrg typing|immunohistochemistry|tumor suppressor protein p53|artificial intelligence|neural networks, computer…”
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Possibilities of using artificial intelligence technologies in the morphological diagnosis of inflammatory bowel diseases (literature review) by E. G. Churilova, A. B. Kazumova, Kh. M. Akhrieva, N. V. Pachuasvili, A. S. Tertychnyy

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