A multi-label CNN model for the automatic detection and segmentation of gliomas using [18F]FET PET imaging von Rahimpour, Masoomeh, Boellaard, Ronald, Jentjens, Sander, Deckers, Wies, Goffin, Karolien, Koole, Michel

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Deep Learning Models for the Detection and Segmentation of Tumoral Lesions Using PET and MRI von Rahimpour, Masoomeh

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A multi-label CNN model for the automatic detection and segmentation of gliomas using [18F]FET PET imaging von Rahimpour, Masoomeh, Boellaard, Ronald, Jentjens, Sander, Deckers, Wies, Goffin, Karolien, Koole, Michel

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A visual ensemble approach using deep convolutional neural networks for 3D segmentation of breast tumors on dynamic contrast enhanced MRI von Rahimpour, Masoomeh, Saint Martin, Marie-Judith, Frouin, Frédérique, Akl, Pia, Orlhac, Fanny, Koole, Michel, Malhaire, Caroline

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Visual ensemble selection of deep convolutional neural networks for 3D segmentation of breast tumors on dynamic contrast enhanced MRI von Rahimpour, Masoomeh, Saint Martin, Marie-Judith, Frouin, Frédérique, Akl, Pia, Orlhac, Fanny, Koole, Michel, Malhaire, Caroline

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Cross-modal distillation to improve MRI-based brain tumor segmentation with missing MRI sequences von Rahimpour, Masoomeh, Bertels, Jeroen, Radwan, Ahmed, Vandermeulen, Henri, Sunaert, Stefan, Vandermeulen, Dirk, Maes, Frederik, Goffin, Karolien, Koole, Michel

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Convolutional Neural Networks for Brain Tumor Segmentation Using Different Sets of MRI Sequences von Rahimpour, Masoomeh, Goffin, Karolien, Koole, Michel

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Improving T1w MRI-based brain tumor segmentation using cross-modal distillation von Rahimpour, Masoomeh, Bertels, Jeroen, Vandermeulen, Dirk, Maes, Frederik, Goffin, Karolien, Koole, Michel

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Investigating certain choices of CNN configurations for brain lesion segmentation von Rahimpour, Masoomeh, Radwan, Ahmed, Vandermeulen, Henri, Sunaert, Stefan, Goffin, Karolien, Koole, Michel

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Cross-modal distillation in MRI for managing glioma patients von Rahimpour, Masoomeh, Goffin, Karoline, Koole, Michel

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Pre-trained CNN based deep features with hand-crafted features and patient data for skin lesion classification von Yildirim Yayilgan, Sule, Arifaj, Blend, Rahimpour, Masoomeh, Hardeberg, Jon Yngve, Ahmedi, Lule

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Kinetic filtering and deep learning for the automatic detection and quantification of primary brain tumors using dynamic 18F-FET PET imaging von Rahimpour, Masoomeh, Boellaard, Ronald, Deckers, Wies, Goffin, Karolien, Koole, Michel

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Investigating certain choices of CNN configurations for brain lesion segmentation von Rahimpour, Masoomeh, Radwan, Ahmed, Vandermeulen, Henri, Sunaert, Stefan, Goffin, Karolien, Koole, Michel

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INVESTIGATING CERTAIN CHOICES OF CNN CONFIGURATIONS FOR BRAIN LESION SEGMENTATION von Rahimpour, Masoomeh, Radwan, Ahmed, Vandermeulen, Henri, Sunaert, Stefan, Goffin, Karolien, Koole, Michel

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Pre-Hospital Management of Acute Myocardial Infarction Using Tele-Electrocardiography System von Asl, Masoud Elhami, Rahimpour, Masoomeh, Merati, Mahmoud Reza, Panahi, Amir Hossein, Gholami, Kamran

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Clinical evaluation of CNN models for MRI-based breast lesion segmentation von Rahimpour, Masoomeh, Saint Martin, Marie-Judith, Akl, Pia, Sebbag Sfez, Delphine, Orlhac, Fanny, Malhaire, Caroline, Koole, Michel, Frouin, Frédérique

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Pre-Hospital Management of Acute Myocardial Infarction Using Tele-Electrocardiography System von Masoud Elhami Asl, Rahimpour, Masoomeh, Merati, Mahmoud Reza, Amir Hossein Panahi, Gholami, Kamran

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