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- Richard C. Hendriks
aka: Richard Christian Hendriks
Delft University of Technology, Netherlands
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Publication search results
found 158 matches
- 2024
- Michael Granitzer, Stefan Voigt, Noor Afshan Fathima, Martin Golasowski, Christian Guetl, Tobias Hecking, Gijs Hendriksen, Djoerd Hiemstra, Jan Martinovic, Jelena Mitrovic, Izidor Mlakar, Stavros Moiras, Alexander Nussbaumer, Per Öster, Martin Potthast, Marjana Sencar Srdic, Sharikadze Megi, Katerina Slaninová, Benno Stein, Arjen P. de Vries, Vít Vondrák, Andreas Wagner, Saber Zerhoudi:
Impact and development of an Open Web Index for open web search. J. Assoc. Inf. Sci. Technol. 75(5): 512-520 (2024) - Ids Van der Werf, Henry Dol, Koen Blom, Richard Heusdens, Richard C. Hendriks, Geert Leus:
On the equivalence of OSDM and OTFS. Signal Process. 214: 109254 (2024) - Niels de Koeijer, Martin Bo Møller, Jorge Martínez, Pablo Martínez-Nuevo, Richard C. Hendriks:
Block-Based Perceptually Adaptive Sound Zones With Reproduction Error Constraints. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3090-3100 (2024) - Johannes W. de Vries, Steven van de Par, Geert Leus, Richard Heusdens, Richard C. Hendriks:
Binaural Beamforming Taking Into Account Spatial Release From Masking. IEEE ACM Trans. Audio Speech Lang. Process. 32: 4002-4012 (2024) - Christian Olt, Patrick Hendriks, Timo Sturm, Clara C. Moos:
From Avatars to Allies: Exploring Team Collaboration in the Metaverse. HICSS 2024: 4921-4930 - K. R. Stunnenberg, Richard C. Hendriks, J. L. Vroegop, M. L. Adank, Borbála Hunyadi:
Tensor Decomposition-Based Data Fusion for Biomarker Extraction from Multiple EEG Experiments. ICASSP 2024: 13146-13150 - Ids Van der Werf, Richard Heusdens, Richard C. Hendriks, Geert Leus:
Optimal Pilot Design for OTFS in Linear Time-Varying Channels. CoRR abs/2403.19379 (2024) - Ryan A. L. Schoop, Gijs A. G. M. Hendriks, Tristan van Leeuwen, Chris L. de Korte, Felix Lucka:
Experimental Validation of Ultrasound Beamforming with End-to-End Deep Learning for Single Plane Wave Imaging. CoRR abs/2404.14188 (2024) - 2023
- Jarne Verhaeghe, Thomas De Corte, Christopher M. Sauer, Tom Hendriks, Olivier W. M. Thijssens, Femke Ongenae, Paul W. G. Elbers, Jan J. De Waele, Sofie Van Hoecke:
Generalizable calibrated machine learning models for real-time atrial fibrillation risk prediction in ICU patients. Int. J. Medical Informatics 175: 105086 (2023) - Changheng Li, Richard C. Hendriks:
Alternating Least-Squares-Based Microphone Array Parameter Estimation for a Single-Source Reverberant and Noisy Acoustic Scenario. IEEE ACM Trans. Audio Speech Lang. Process. 31: 3922-3934 (2023) - Changheng Li, Jorge Martínez, Richard Christian Hendriks:
Joint Maximum Likelihood Estimation of Microphone Array Parameters for a Reverberant Single Source Scenario. IEEE ACM Trans. Audio Speech Lang. Process. 31: 695-705 (2023) - Changheng Li, Richard C. Hendriks:
ADaptive Time Segmentation for Improved Signal Model Parameter Estimation for a Single-Source Scenario. ACSSC 2023: 1106-1111 - Ids Van der Werf, Richard C. Hendriks, Richard Heusdens, Geert Leus:
Transmit Waveform Design Based on the Cramér-Rao Lower Bound. CAMSAP 2023: 166-170 - Patrick Hendriks, Timo Sturm, Christian Michael Olt, Peter Buxmann:
The Impact of Human-Artificial Intelligence Partnerships on Organizational Learning. ECIS 2023 - Ids Van der Werf, Richard C. Hendriks, Richard Heusdens:
Channel Parameter Estimation Using a Wideband LFM Preamble: Comparison of the Fractional Fourier Transform and Matched Filtering. EUSIPCO 2023: 1430-1434 - Changheng Li, Richard C. Hendriks:
Noise PSD Insensitive RTF Estimation in a Reverberant and Noisy Environment. ICASSP 2023: 1-5 - Johannes W. de Vries, Miao Sun, Natasja M. S. de Groot, Richard C. Hendriks:
Estimation of Cardiac Fibre Direction Based on Activation Maps. ICASSP 2023: 1-5 - Azadeh Fakhrzadeh, Pouya Karimian, Mahsa Meyari, Cris L. Luengo Hendriks, Lena Holm, Christian Sonne, Rune Dietz, Ellinor Spörndly-Nees:
Deep learning-based method for segmenting epithelial layer of tubules in histopathological images of testicular tissue. CoRR abs/2301.09887 (2023) - 2022
- Hanie Moghaddasi, Richard C. Hendriks, Alle-Jan van der Veen, Natasja M. S. de Groot, Borbála Hunyadi:
Classification of De novo post-operative and persistent atrial fibrillation using multi-channel ECG recordings. Comput. Biol. Medicine 143: 105270 (2022) - Miao Sun, Natasja M. S. de Groot, Richard C. Hendriks:
Joint cardiac tissue conductivity and activation time estimation using confirmatory factor analysis. Comput. Biol. Medicine 144: 105393 (2022) - Fons J. Wesselius, Mathijs S. van Schie, Natasja M. S. de Groot, Richard C. Hendriks:
An accurate and efficient method to train classifiers for atrial fibrillation detection in ECGs: Learning by asking better questions. Comput. Biol. Medicine 143: 105331 (2022) - Chuan Chen, Gijs A. G. M. Hendriks, Stein Fekkes, Ritse M. Mann, Jan Menssen, Carmen C. N. Siebers, Chris L. de Korte, Hendrik H. G. Hansen:
In Vivo 3D Power Doppler Imaging Using Continuous Translation and Ultrafast Ultrasound. IEEE Trans. Biomed. Eng. 69(3): 1042-1051 (2022) - Hanie Moghaddasi, Richard C. Hendriks, Alle-Jan van der Veen, Natasja M. S. de Groot, Borbála Hunyadi:
Novel Rank-based Features of Atrial Potentials for the Classification Between Paroxysmal and Persistent Atrial Fibrillation. CinC 2022: 1-4 - Tijs Moree, Mathijs S. van Schie, Natasja M. S. de Groot, Richard C. Hendriks:
Estimation of the Atrial Activity from Electrograms: A Beamforming Perspective. CinC 2022: 1-4 - Ellen Riemens, Pablo Martínez-Nuevo, Jorge Martínez, Martin Bo Møller, Richard C. Hendriks:
On the Integration of Acoustics and LiDAR: a Multi-Modal Approach to Acoustic Reflector Estimation. EUSIPCO 2022: 11-15 - Ids Van der Werf, Pablo Martínez-Nuevo, Martin Bo Møller, Richard C. Hendriks, Jorge Martínez:
Towards Gridless Sound Field Reconstruction. EUSIPCO 2022: 862-866 - Changheng Li, Jorge Martínez, Richard C. Hendriks:
Low Complex Accurate Multi-Source RTF Estimation. ICASSP 2022: 4953-4957 - 2021
- Bahareh Abdi, Mathijs S. van Schie, Natasja M. S. de Groot, Richard C. Hendriks:
Analyzing the effect of electrode size on electrogram and activation map properties. Comput. Biol. Medicine 134: 104467 (2021) - Adnan Albaba, Neide Simões-Capela, Yuyang Wang, Richard C. Hendriks, Walter De Raedt, Chris Van Hoof:
Assessing the signal quality of electrocardiograms from varied acquisition sources: A generic machine learning pipeline for model generation. Comput. Biol. Medicine 130: 104164 (2021) - Miao Sun, Natasja M. S. de Groot, Richard C. Hendriks:
Cardiac tissue conductivity estimation using confirmatory factor analysis. Comput. Biol. Medicine 135: 104604 (2021)
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