G. Scebba

Multispectral camera fusion increases robustness of ROI detection for biosignal estimation with nearables in real-world scenarios

G. Scebba, 2018 .

Covariance intersection to improve the robustness of the photoplethysmogram derived respiratory rate

Jia Zhang, Gaetano Scebba, Walter Karlen, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

L G ] 2 4 O ct 2 01 7 Beat by Beat : Classifying Cardiac Arrhythmias with Recurrent Neural Networks

W. Karlen, G. Scebba, P. Schwab, 2017 .

Wound Image Quality From a Mobile Health Tool for Home-Based Chronic Wound Management With Real-Time Quality Feedback: Randomized Feasibility Study

W. Karlen, O. Distler, Laura Tüshaus, 2021, JMIR mHealth and uHealth.

Beat by beat: Classifying cardiac arrhythmias with recurrent neural networks

Jia Zhang, Walter Karlen, Patrick Schwab, 2017, 2017 Computing in Cardiology (CinC).

Multispectral Video Fusion for Non-Contact Monitoring of Respiratory Rate and Apnea

Walter Karlen, Giulia Da Poian, Gaetano Scebba, 2020, IEEE Transactions on Biomedical Engineering.

Detect-and-Segment: a Deep Learning Approach to Automate Wound Image Segmentation pdf

Walter Karlen, Oliver Distler, Gaetano Scebba, 2021, Informatics in Medicine Unlocked.

Improving ROI detection in photoplethysmographic imaging with thermal cameras

Walter Karlen, Gaetano Scebba, Jelena Dragas, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Speech Emotion Classification Using Machine Learning Algorithms

Alessandra Russo, Salvatore Casale, Salvatore Serrano, 2008, 2008 IEEE International Conference on Semantic Computing.