Search Results - Deatsch, Ali

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  1. 1
    Models using comprehensive, lesion-level, longitudinal [68Ga]Ga-DOTA-TATE PET-derived features lead to superior outcome prediction in neuroendocrine tumor patients treated with [177Lu]Lu-DOTA-TATE

    Models using comprehensive, lesion-level, longitudinal [68Ga]Ga-DOTA-TATE PET-derived features lead to superior outcome prediction in neuroendocrine tumor patients treated with [17... by Santoro-Fernandes, Victor, Schott, Brayden, Deatsch, Ali, Keigley, Quinton, Francken, Thomas, Iyer, Renuka, Fountzilas, Christos, Perlman, Scott, Jeraj, Robert

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  2. 2
    Models using comprehensive, lesion-level, longitudinal 68GaGa-DOTA-TATE PET-derived features lead to superior outcome prediction in neuroendocrine tumor patients treated with 177LuLu-DOTA-TATE

    Models using comprehensive, lesion-level, longitudinal 68GaGa-DOTA-TATE PET-derived features lead to superior outcome prediction in neuroendocrine tumor patients treated with 177Lu... by Santoro-Fernandes, Victor, Schott, Brayden, Deatsch, Ali, Keigley, Quinton, Francken, Thomas, Iyer, Renuka, Fountzilas, Christos, Perlman, Scott, Jeraj, Robert

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  3. 3
    Longitudinal interpretability of deep learning based breast cancer risk prediction

    Longitudinal interpretability of deep learning based breast cancer risk prediction by Klanecek, Zan, Wang, Yao-Kuan, Wagner, Tobias, Cockmartin, Lesley, Marshall, Nicholas, Schott, Brayden, Deatsch, Ali, Studen, Andrej, Jarm, Katja, Krajc, Mateja, Vrhovec, Miloš, Bosmans, Hilde, Jeraj, Robert

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  4. 4
    Uncertainty estimation for deep learning-based pectoral muscle segmentation via Monte Carlo dropout

    Uncertainty estimation for deep learning-based pectoral muscle segmentation via Monte Carlo dropout by Klanecek, Zan, Wagner, Tobias, Wang, Yao-Kuan, Cockmartin, Lesley, Marshall, Nicholas, Schott, Brayden, Deatsch, Ali, Studen, Andrej, Hertl, Kristijana, Jarm, Katja, Krajc, Mateja, Vrhovec, Miloš, Bosmans, Hilde, Jeraj, Robert

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