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Deep learning-based detection of anthropometric landmarks in 3D infants head models., , , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 1095034. SPIE, (2019)Exploring Optical Flow Inclusion into nnU-Net Framework for Surgical Instrument Segmentation., , , , , , , , , and . CoRR, (2024)Remote Monitoring System of Dynamic Compression Bracing to Correct Pectus Carinatum., , , , and . Sensors, 23 (9): 4427 (2023)Characterization of the Workspace and Limits of Operation of Laser Treatments for Vascular Lesions of the Lower Limbs., , , , , and . Sensors, 22 (19): 7481 (2022)A deep learning method for kidney segmentation in 2D ultrasound images., , , , , , , , , and . EMBC, page 3911-3914. IEEE, (2022)Classification of Chronic Venous Disorders using an Ensemble Optimization of Convolutional Neural Networks., , , , , and . EMBC, page 516-519. IEEE, (2022)Comparative Analysis of Current Deep Learning Networks for Breast Lesion Segmentation in Ultrasound Images., , , , , , and . EMBC, page 3878-3881. IEEE, (2022)CycleGAN-Based Image to Image Translation for Realistic Surgical Training Phantoms., , , , , , , and . EMBC, page 1-4. IEEE, (2023)CholecTriplet2021: A benchmark challenge for surgical action triplet recognition., , , , , , , , , and 52 other author(s). CoRR, (2022)Real-Time Human Body Pose Estimation for In-Car Depth Images., , , , , , , , , and . DoCEIS, volume 553 of IFIP Advances in Information and Communication Technology, page 169-182. Springer, (2019)