| Beat by beat: Classifying cardiac arrhythmias with recurrent neural networks P Schwab, GC Scebba, J Zhang, M Delai, W Karlen 2017 Computing in Cardiology (CinC), 1-4, 2017 | 97 | 2017 |
| Multispectral video fusion for non-contact monitoring of respiratory rate and apnea G Scebba, G Da Poian, W Karlen IEEE Transactions on Biomedical Engineering 68 (1), 350-359, 2020 | 70 | 2020 |
| Detect-and-segment: A deep learning approach to automate wound image segmentation G Scebba, J Zhang, S Catanzaro, C Mihai, O Distler, M Berli, W Karlen Informatics in Medicine Unlocked 29, 100884, 2022 | 43 | 2022 |
| Wound image quality from a mobile health tool for home-based chronic wound management with real-time quality feedback: Randomized feasibility study J Zhang, C Mihai, L Tüshaus, G Scebba, O Distler, W Karlen JMIR mHealth and uHealth 9 (7), e26149, 2021 | 20 | 2021 |
| Multispectral camera fusion increases robustness of ROI detection for biosignal estimation with nearables in real-world scenarios G Scebba, L Tüshaus, W Karlen Engineering in Medicine and Biology Society (EMBC), 2018 40th Annual …, 2018 | 11 | 2018 |
| Improving ROI detection in photoplethysmographic imaging with thermal cameras G Scebba, J Dragas, S Hu, W Karlen 2017 39th Annual International Conference of the IEEE Engineering in …, 2017 | 7 | 2017 |
| Beat by beat: Classifying cardiac arrhythmias with recurrent neural networks. In 2017 Computing in Cardiology (CinC) P Schwab, GC Scebba, J Zhang, M Delai, W Karlen IEEE, 2017 | 7 | 2017 |
| Covariance intersection to improve the robustness of the photoplethysmogram derived respiratory rate J Zhang, G Scebba, W Karlen 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 4 | 2020 |
| A multimodal digital biomarker of functional deficits in early‐stage Alzheimer’s disease: results of the RADAR‐AD study S Vairavan, M Lentzen, M Muurling, C de Boer, A Atreya, J Curcic, ... Alzheimer's & Dementia 19, e071136, 2023 | | 2023 |
| Motor‐cognitive dual tasking in the clinical setting: a sensitive measure of functional impairment in early Alzheimer’s disease AK Brem, G Scebba, J Curcic, M Muurling, C de Boer, N Coello, A Atreya, ... Alzheimer's & Dementia 19, e071137, 2023 | | 2023 |
| Remote assessment of functional impairment in Alzheimer’s disease: results of the RADAR‐AD study M Muurling, C de Boer, S Vairavan, J Curcic, G Scebba, A Atreya, C Hinds, ... Alzheimer's & Dementia 19, e071140, 2023 | | 2023 |
| A system for recording a high-quality wound image and for real-time image quality assessment J Zhang, G Scebba, W Karlen EP Patent 21175108.6, 2022 | | 2022 |
| Robust Health Monitoring with Digital Cameras G Scebba ETH Zurich, 2021 | | 2021 |
| Wound Image Segmentation with Deep Neural Networks H Rodrigues Orefice, G Scebba, L Tüshaus, S Catanzaro, J Toledo, ... SSBE 2019 Annual Meeting Aug 27, 2019. Selected Oral Contributions, 2019 | | 2019 |
| mHealth Tool for Self-assessment of Digital Ulcers J Zhang, I Misano, M Rimensberger, G Scebba, W Karlen Annual Meeting of the Swiss Society for Biomedical Engineering (SSBE 2018), 2018 | | 2018 |
| Reliable ROI detection for non-contact biosignals estimation with multispectral camera fusion G Scebba, L Tüshaus, W Karlen Annual Meeting of the Swiss Society for Biomedical Engineering (SSBE 2018), 2018 | | 2018 |
| Thermal cameras enhance ROI detection in photoplethysmographic imaging G Scebba, J Dragas, S Hu, W Karlen Proceedings of SSBE Annual Meeting 2017, 2017 | | 2017 |
| The effect of leg cycling on brain excitability: a comparison between standard and split-crank cycling GC SCEBBA Politecnico di Milano, 2015 | | 2015 |
| RADAR-AD:: Assessment of Multiple Remote Monitoring Technologies for Early Detection of Alzheimer's Disease M Lentzen, S Vairavan, M Muurling, V Alepopoulos, A Atreya, M Boada, ... | | |
Walter KarlenMobile Health & AI Systems for MedicineBestätigte E-Mail-Adresse bei ieee.org
