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- 2023
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Mark
Estimating Respiratory Modulation in Atrial Fibrillation Using a Convolutional Neural Network
(2023) Computing in Cardiology
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2022
-
Mark
Seg2Pose: Pose Estimations from Instance Segmentation Masks in One or Multiple Views for Traffic Applications
(2022) 17th International Conference on Computer Vision Theory and Applications, VISAPP 2022
5. p.777-784- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Freely available artificial intelligence for pelvic lymph node metastases in PSMA PET-CT that performs on par with nuclear medicine physicians
- Contribution to journal › Article
-
Mark
Application of pattern spectra and convolutional neural networks to the analysis of simulated Cherenkov Telescope Array data
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2021
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Mark
Detection of Brief Episodes of Atrial Fibrillation Based on Electrocardiomatrix and Convolutional Neural Network
- Contribution to journal › Article
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Mark
Machine learning in the prediction of cancer therapy
- Contribution to journal › Scientific review
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Mark
Identification of Transient Noise to Reduce False Detections in Screening for Atrial Fibrillation
- Contribution to journal › Article
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Mark
Detection of left bundle branch block and obstructive coronary artery disease from myocardial perfusion scintigraphy using deep neural networks
(2021) Medical Imaging 2021: Computer-Aided Diagnosis In Progress in Biomedical Optics and Imaging - Proceedings of SPIE 11597.
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Synthetic computed tomography data allows for accurate absorbed dose calculations in a magnetic resonance imaging only workflow for head and neck radiotherapy
- Contribution to journal › Article
- 2020
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Mark
Deep learning-based quantification of PET/CT prostate gland uptake : association with overall survival
- Contribution to journal › Article
