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Deep learning-based overall survival prediction model in patients with rare cancer: a case study for primary central nervous system lymphoma.

, , , , , , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 18 (10): 1849-1856 (October 2023)

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Assessing vascular complexity of PAOD patients by deep learning-based segmentation and fractal dimension., , , , , , , , , and . Neural Comput. Appl., 34 (24): 22015-22022 (2022)Using CNNs for Designing and Implementing an Automatic Vascular Segmentation Method of Biomedical Images., , , , , , and . AI*IA, volume 11298 of Lecture Notes in Computer Science, page 60-70. Springer, (2018)Deep learning-based synthetic-CT generation in radiotherapy and PET: a review., , , and . CoRR, (2021)Deep Learning Model for Video-Classification of Echocardiography Images., , , , , , , and . MetroXRAINE, page 479-483. IEEE, (2023)Evaluating the Impact of Training Loss on MR to Synthetic CT Conversion., , , , and . LOD (1), volume 12565 of Lecture Notes in Computer Science, page 563-573. Springer, (2020)Deep Neural Networks for Fast Segmentation of 3D Medical Images., , , , , and . MICCAI (2), volume 9901 of Lecture Notes in Computer Science, page 158-165. (2016)Segmentation of vessel tree from cine-angiography images for intraoperative clinical evaluation., , , , , , and . RiCeRcA@AI*IA, volume 2272 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)Deep learning-based overall survival prediction model in patients with rare cancer: a case study for primary central nervous system lymphoma., , , , , , , , , and 2 other author(s). Int. J. Comput. Assist. Radiol. Surg., 18 (10): 1849-1856 (October 2023)Multi-organ segmentation of the head and neck area: an efficient hierarchical neural networks approach., , , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 14 (5): 745-754 (2019)Extracranial frameless stereotactic radiosurgery with multi-modal imaging and opto-electronic position verification., , , , , , , , , and 2 other author(s). CARS, volume 1268 of International Congress Series, page 318-322. Elsevier, (2004)