5 citations · 5 across the 4 of their papers we have counts for
4 papers
Human Activity Recognition from Smartphone Sensor Data for Clinical Trials
Stefania Russo, Rafał Klimas, Marta Płonka +6
We developed a ResNet-based human activity recognition (HAR) model with minimal overhead to detect gait versus non-gait activities and everyday activities (walking, running, stairs…
Personalized Longitudinal Assessment of Multiple Sclerosis Using Smartphones
Oliver Y. Chén, Florian Lipsmeier, Huy Phan +5
Personalized longitudinal disease assessment is central to quickly diagnosing, appropriately managing, and optimally adapting the therapeutic strategy of multiple sclerosis (MS). I…
Interpretable Deep Learning for the Remote Characterisation of Ambulation in Multiple Sclerosis using Smartphones
Andrew P. Creagh, Florian Lipsmeier, Michael Lindemann +1
The emergence of digital technologies such as smartphones in healthcare applications have demonstrated the possibility of developing rich, continuous, and objective measures of mul…
Multiscale Topology Characterises Dynamic Tumour Vascular Networks
Bernadette J. Stolz, Jakob Kaeppler, Bostjan Markelc +5
Advances in imaging techniques enable high resolution 3D visualisation of vascular networks over time and reveal abnormal structural features such as twists and loops, and their qu…