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Multi-modality classification between myxofibrosarcoma and myxoma using radiomics and machine learning models.

, , , , , , , , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)

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Physics-Based Modelling and Simulation of Multibeam Echosounder Perception for Autonomous Underwater Manipulation., , , , , , , , and . Frontiers Robotics AI, (2021)Predicting the navigation performance of underwater vehicles.. IROS, page 261-266. IEEE, (2009)Multi-robot cooperative control for monitoring and tracking dynamic plumes., , and . ICRA, page 67-73. IEEE, (2014)Multi-modality classification between myxofibrosarcoma and myxoma using radiomics and machine learning models., , , , , , , , , and 5 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)Passive and active acoustics using an autonomous wave glider., , , , , , and . J. Field Robotics, 29 (6): 911-923 (2012)Robotic experiments to evaluate ocean plume characteristics and structure., , , , , and . IROS, page 6098-6104. IEEE, (2017)DAVE Aquatic Virtual Environment: Toward a General Underwater Robotics Simulator., , , , , , , , , and 1 other author(s). CoRR, (2022)Techniques for Deep Sea Near Bottom Survey Using an Autonomous Underwater Vehicle., , , and . ISRR, volume 28 of Springer Tracts in Advanced Robotics, page 416-429. Springer, (2005)Evaluation of the Robot Operating System 2 in Lossy Unmanned Networks., , , and . SysCon, page 1-8. IEEE, (2020)Ocean Plume Tracking with Unmanned Surface Vessels: Algorithms and Experiments., , , , , and . CoRR, (2018)