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1دورية أكاديمية
المؤلفون: Rogers, W., Keek, S. A., Beuque, M., Lavrova, E., Primakov, S., Wu, G., Yan, C., Sanduleanu, S., Gietema, H. A., Casale, R., Occhipinti, M., Woodruff, H. C., Jochems, A., Lambin, P.
المصدر: Rogers , W , Keek , S A , Beuque , M , Lavrova , E , Primakov , S , Wu , G , Yan , C , Sanduleanu , S , Gietema , H A , Casale , R , Occhipinti , M , Woodruff , H C , Jochems , A & Lambin , P 2023 , ' Towards texture accurate slice interpolation of medical images using PixelMiner ' , Computers in Biology and Medicine , vol. 161 , no. 1 , 106701 . https://doi.org/10.1016/j.compbiomed.2023.106701Test
مصطلحات موضوعية: Generative modelling, PixelCNN, Medical imaging, Interpolation, CT
العلاقة: https://cris.maastrichtuniversity.nl/en/publications/3b301648-afff-42f9-bbb4-725d19941442Test
الإتاحة: https://doi.org/10.1016/j.compbiomed.2023.106701Test
https://cris.maastrichtuniversity.nl/en/publications/3b301648-afff-42f9-bbb4-725d19941442Test -
2دورية أكاديمية
المؤلفون: Parise, O., Parise, G., Vaidyanathan, A., Occhipinti, M., Gharaviri, A., Tetta, C., Bidar, E., Maesen, B., Maessen, J.G., La Meir, M., Gelsomino, S.
المصدر: Parise , O , Parise , G , Vaidyanathan , A , Occhipinti , M , Gharaviri , A , Tetta , C , Bidar , E , Maesen , B , Maessen , J G , La Meir , M & Gelsomino , S 2023 , ' Machine Learning to Identify Patients at Risk of Developing New-Onset Atrial Fibrillation after Coronary Artery Bypass ' , Journal of Cardiovascular Development and Disease , vol. 10 , no. 2 , 82 . https://doi.org/10.3390/jcdd10020082Test
مصطلحات موضوعية: machine learning, artificial intelligence, atrial fibrillation, postoperative CABG, PULMONARY VEIN ISOLATION, CARDIAC-SURGERY, PREDICTION MODELS, INVASIVE SURGERY, COMPUTER-MODEL, PREVENTION, STROKE, EPIDEMIOLOGY, MORTALITY, DISEASE
العلاقة: https://cris.maastrichtuniversity.nl/en/publications/d34a35a7-90d7-4e47-9d2a-7ef52ac33134Test
الإتاحة: https://doi.org/10.3390/jcdd10020082Test
https://cris.maastrichtuniversity.nl/en/publications/d34a35a7-90d7-4e47-9d2a-7ef52ac33134Test -
3دورية أكاديمية
المؤلفون: Zerka, F., Urovi, V., Bottari, F., Leijenaar, R.T.H., Walsh, S., Gabrani-Juma, H., Gueuning, M., Vaidyanathan, A., Vos, W., Occhipinti, M., Woodruff, H.C., Dumontier, M., Lambin, P.
المصدر: Zerka , F , Urovi , V , Bottari , F , Leijenaar , R T H , Walsh , S , Gabrani-Juma , H , Gueuning , M , Vaidyanathan , A , Vos , W , Occhipinti , M , Woodruff , H C , Dumontier , M & Lambin , P 2021 , ' Privacy preserving distributed learning classifiers-Sequential learning with small sets of data ' , Computers in Biology and Medicine , vol. 136 , 104716 . https://doi.org/10.1016/j.compbiomed.2021.104716Test
مصطلحات موضوعية: Distributed learning, Sequential learning, Rare disease, Medical data privacy, SURVIVAL PREDICTION, CANCER-PATIENTS, HEALTH-CARE, MODEL, BLOCKCHAIN
العلاقة: https://cris.maastrichtuniversity.nl/en/publications/9e2b4ca4-a26f-476e-896a-057436db6a7dTest
الإتاحة: https://doi.org/10.1016/j.compbiomed.2021.104716Test
https://cris.maastrichtuniversity.nl/en/publications/9e2b4ca4-a26f-476e-896a-057436db6a7dTest