Nens van Alfen

Automatic segmentation of ultrasound images of gastrocnemius medialis with different echogenicity levels using convolutional neural networks

Kristen M. Meiburger, Massimo Salvi, Bruno De Santi, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Computer-aided detection of fasciculations and other movements in muscle with ultrasound: Development and clinical application

André Sprengers, Max Bakker, Nens van Alfen, 2018, Clinical Neurophysiology.

Deep learning segmentation of transverse musculoskeletal ultrasound images for neuromuscular disease assessment

Kristen M. Meiburger, Francesco Marzola, Nens van Alfen, 2021, Comput. Biol. Medicine.

Muscles alive: Ultrasound detects fibrillations

Nens van Alfen, Johannes P. van Dijk, S. Pillen, 2009, Clinical Neurophysiology.

Quantitative muscle ultrasound is a promising longitudinal follow-up tool in Duchenne muscular dystrophy

Nens van Alfen, Johannes P. van Dijk, S. Pillen, 2012, Neuromuscular Disorders.

Upper Limb Training with Dynamic Arm Support in Boys with Duchenne Muscular Dystrophy: A Feasibility Study

Nens van Alfen, Imelda J. M. de Groot, M. Jannink, 2015 .