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Design Optimization of a Ducted-Drone to Perform Inspection Operations.

, , и . ROBOT (1), том 1092 из Advances in Intelligent Systems and Computing, стр. 3-15. Springer, (2019)

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Gil dos Santos Guerreiro João

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Design Optimization of a Ducted-Drone to Perform Inspection Operations., , и . ROBOT (1), том 1092 из Advances in Intelligent Systems and Computing, стр. 3-15. Springer, (2019)Pectus excavatum postsurgical outcome based on preoperative soft body dynamics simulation., , , , , , и . Medical Imaging: Image-Guided Procedures, том 8316 из SPIE Proceedings, стр. 83160K. SPIE, (2012)Fast left ventricle tracking in CMR images using localized anatomical affine optical flow., , , , , и . Medical Imaging: Image Processing, том 9413 из SPIE Proceedings, стр. 941306. SPIE, (2015)Exploring Optical Flow Inclusion into nnU-Net Framework for Surgical Instrument Segmentation., , , , , , , , , и . CoRR, (2024)CycleGAN-Based Image to Image Translation for Realistic Surgical Training Phantoms., , , , , , , и . EMBC, стр. 1-4. IEEE, (2023)Analysis of Current Deep Learning Networks for Semantic Segmentation of Anatomical Structures in Laparoscopic Surgery., , , , , , и . EMBC, стр. 3502-3505. IEEE, (2022)Automatic Denavit-Hartenberg Parameter Identification for Serial Manipulators., , , , и . IECON, стр. 610-617. IEEE, (2019)Automatic left ventricular segmentation in 4D interventional ultrasound data using a patient-specific temporal synchronized shape prior., , , , , , , , и . Medical Imaging: Image Processing, том 10949 из SPIE Proceedings, стр. 109491F. SPIE, (2019)Virtual simulation of the postsurgical cosmetic outcome in patients with Pectus Excavatum., , , , , , и . Medical Imaging: Image-Guided Procedures, том 7964 из SPIE Proceedings, стр. 79642L. SPIE, (2011)Comparative Analysis of Current Deep Learning Networks for Breast Lesion Segmentation in Ultrasound Images., , , , , , и . EMBC, стр. 3878-3881. IEEE, (2022)