Barlo Hillen

Deep learning-based infrared thermography reveals reproducible uniform and individual thermoregulatory responses during running

CFTR modulator therapy drives microbiome restructuring through improved host physiology in cystic fibrosis: the IMMProveCF phase IV trial

Multimodal Web-Based Telerehabilitation for Patients With Post–COVID-19 Condition: Protocol for a Randomized Controlled Trial

Digital and AI-assisted multimodal supportive care, combining physical activity, nutrition, and pain management during chemotherapy for advanced pancreatic cancer patients: study protocol of the European multicenter randomized controlled trial of the RELEVIUM project

ThermoNet: advanced deep neural network-based thermogram processing pipeline for automatic time series analysis of specific skin areas in moving legs

StereoThermoLegs: label propagation with multimodal stereo cameras for automated annotation of posterior legs during running at different velocities

Acute physiological responses to a pyramidal exercise protocol and the associations with skin temperature variation in different body areas

Resilience and stability of the CF- intestinal and respiratory microbiome during nutritional and exercise intervention

An exploratory, intra- and interindividual comparison of the deep neural network automatically measured calf surface radiation temperature during cardiopulmonary running and cycling exercise testing: A preliminary study

Towards Exercise Radiomics: Deep Neural Network-Based Automatic Analysis of Thermal Images Captured During Exercise

Kinetics and Topology of DNA Associated with Circulating Extracellular Vesicles Released during Exercise

Feasibility and implementation of a personalized, web-based exercise intervention for people with cystic fibrosis for 1 year

Infrared Thermography in Exercise Physiology: The Dawning of Exercise Radiomics