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A new deep neural segmentation network for cerebral aneurysms in 2D digital subtraction angiography.

, , , , , , , and . Medical Imaging: Image-Guided Procedures, volume 12034 of SPIE Proceedings, SPIE, (2022)

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Ontology-based medical image annotation and retrieval (Ontoloji tabanlı tıbbi görüntü betimleme ve erişimi). Dokuz Eylül University, Turkey, (2013)Echocardiography segmentation based on a shape-guided deformable model driven by a fully convolutional network prior., , , , and . ISBI, page 898-902. IEEE, (2018)A new deep neural segmentation network for cerebral aneurysms in 2D digital subtraction angiography., , , , , , , and . Medical Imaging: Image-Guided Procedures, volume 12034 of SPIE Proceedings, SPIE, (2022)Ontology-based mammography annotation and Case-based Retrieval of breast masses., , and . Expert Syst. Appl., 39 (12): 11194-11202 (2012)Towards Automatic Prediction of Outcome in Treatment of Cerebral Aneurysms., , , , , , and . AMIA, AMIA, (2022)Agent Simulation Using Path Telemetry for Modeling COVID-19 Workplace Hazard and Risk., , , , , , and . BIOSTEC (1), page 417-428. SCITEPRESS, (2024)Uncertainty modeling for ontology-based mammography annotation with intelligent BI-RADS scoring., , and . Comput. Biol. Medicine, 43 (4): 301-311 (2013)Proposing New RadLex Terms by Analyzing Free-Text Mammography Reports., , , , and . J. Digital Imaging, 31 (5): 596-603 (2018)Towards Automatic Prediction of Outcome in Treatment of Cerebral Aneurysms., , , , , , , , and . CoRR, (2022)Towards an Efficient Way of Building Annotated Medical Image Collections for Big Data Studies., , , , , and . CVII-STENT/LABELS@MICCAI, volume 10552 of Lecture Notes in Computer Science, page 87-95. Springer, (2017)