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Deep Learning for Abnormal Movement Detection using Wearable Sensors: Case Studies on Stereotypical Motor Movements in Autism and Freezing of Gait in Parkinson's Disease.. University of Trento, Italy, (2019)base-search.net (ftutrentophd:oai:eprints-phd.biblio.unitn.it:3682).HNT-AI: An Automatic Segmentation Framework for Head and Neck Primary Tumors and Lymph Nodes in FDG- PET/CT Images., , , , , and . HECKTOR@MICCAI, volume 13626 of Lecture Notes in Computer Science, page 212-220. Springer, (2022)Advanced Ultrasound and Photoacoustic Imaging in Cardiology., , , , and . Sensors, 21 (23): 7947 (2021)PROMISSING: Pruning Missing Values in Neural Networks., , , , , , , and . CoRR, (2022)Hybrid Deep Neural Network for Brachial Plexus Nerve Segmentation in Ultrasound Images., , , and . EUSIPCO, page 1246-1250. IEEE, (2021)Convolutional Neural Network for Stereotypical Motor Movement Detection in Autism., , , , , and . CoRR, (2015)Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge., , , , , , , , , and 60 other author(s). npj Digit. Medicine, (2021)Deep Learning for Automatic Stereotypical Motor Movement Detection using Wearable Sensors in Autism Spectrum Disorders., , , , , , , and . CoRR, (2017)Deep learning for automatic stereotypical motor movement detection using wearable sensors in autism spectrum disorders., , , , , , , and . Signal Process., (2018)Novelty Detection using Deep Normative Modeling for IMU-Based Abnormal Movement Monitoring in Parkinson's Disease and Autism Spectrum Disorders., , , and . Sensors, 18 (10): 3533 (2018)