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- 2024
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Mark
ECG-based estimation of respiration-induced autonomic modulation of AV nodal conduction during atrial fibrillation
(
- Contribution to journal › Article
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Mark
Learning Flame Evolution Operator under Hybrid Darrieus Landau and Diffusive Thermal Instability
(
- Contribution to journal › Article
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Mark
Ion Current-Based Knock Detection using Convolutional Neural Networks
2024) 7th IFAC Conference on Engine and Powertrain Control, Simulation and Modeling, E-COSM 2024 58. p.261-266(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
A deep learning approach to prediction of blood group antigens from genomic data
(
- Contribution to journal › Article
- 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
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Mark
Deep learning for rapid and reproducible histology scoring of lung injury in a porcine model
2023)(
- Working paper/Preprint › Preprint in preprint archive
- 2022
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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
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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
-
Mark
Identification of Transient Noise to Reduce False Detections in Screening for Atrial Fibrillation
(
- Contribution to journal › Article