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ORCIDHessel Wijkstra
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- affiliation: Eindhoven University of Technology, Departement of Electrical Engineering, Netherlands
- affiliation: University of Amsterdam, Department of Urology, Netherlands
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Journal Articles
- 2023
[j13]Chuan Chen
, Reshani Perera, Michael C. Kolios, Hessel Wijkstra, Agata A. Exner, Massimo Mischi, Simona Turco:
Pharmacokinetic Modeling of the Second-Wave Phenomenon in Nanobubble-Based Contrast-Enhanced Ultrasound. IEEE Trans. Biomed. Eng. 70(1): 42-54 (2023)- 2021
- [j12]Peiran Chen, Ruud J. G. van Sloun, Simona Turco, Hessel Wijkstra, Domenico Filomena, Luciano Agati, Patrick Houthuizen, Massimo Mischi:
Blood flow patterns estimation in the left ventricle with low-rate 2D and 3D dynamic contrast-enhanced ultrasound. Comput. Methods Programs Biomed. 198: 105810 (2021) - [j11]Ruud J. G. van Sloun, Oren Solomon, Matthew Bruce, Zin Z. Khaing, Hessel Wijkstra, Yonina C. Eldar, Massimo Mischi:
Super-Resolution Ultrasound Localization Microscopy Through Deep Learning. IEEE Trans. Medical Imaging 40(3): 829-839 (2021) - 2020
- [j10]Rogier R. Wildeboer, Ruud J. G. van Sloun, Hessel Wijkstra, Massimo Mischi:
Artificial intelligence in multiparametric prostate cancer imaging with focus on deep-learning methods. Comput. Methods Programs Biomed. 189: 105316 (2020) - 2018
- [j9]Anastasiia Panfilova, Ruud J. G. van Sloun, Rogier R. Wildeboer, Hessel Wijkstra, Massimo Mischi:
A fixed-distance plane wave method for estimating the ultrasound coefficient of nonlinearity. Proc. Meet. Acoust. 34(1) (2018) - [j8]Rogier R. Wildeboer, Ruud J. G. van Sloun, Stefan G. Schalk, Christophe K. Mannaerts, J. C. Van Der Linden, Pintong Huang, Hessel Wijkstra, Massimo Mischi:
Convective-Dispersion Modeling in 3D Contrast-Ultrasound Imaging for the Localization of Prostate Cancer. IEEE Trans. Medical Imaging 37(12): 2593-2602 (2018) - 2017
- [j7]Ruud van Sloun, Libertario Demi, Arnoud Postema, Jean J. M. C. H. de la Rosette, Hessel Wijkstra, Massimo Mischi:
Ultrasound-contrast-agent dispersion and velocity imaging for prostate cancer localization. Medical Image Anal. 35: 610-619 (2017) - [j6]Stefan G. Schalk, Libertario Demi, Nabil Bouhouch, Maarten P. J. Kuenen, Arnoud W. Postema, Jean J. M. C. H. de la Rosette, Hessel Wijkstra, Tjalling J. Tjalkens, Massimo Mischi:
Contrast-Enhanced Ultrasound Angiogenesis Imaging by Mutual Information Analysis for Prostate Cancer Localization. IEEE Trans. Biomed. Eng. 64(3): 661-670 (2017) - [j5]Ruud J. G. van Sloun, Libertario Demi, Arnoud W. Postema, Jean J. M. C. H. de la Rosette, Hessel Wijkstra, Massimo Mischi:
Entropy of Ultrasound-Contrast-Agent Velocity Fields for Angiogenesis Imaging in Prostate Cancer. IEEE Trans. Medical Imaging 36(3): 826-837 (2017) - 2016
- [j4]Simona Turco, Augustus J. E. M. Janssen, Cristina Lavini, Jean J. M. C. H. de la Rosette, Hessel Wijkstra, Massimo Mischi:
Time-efficient estimation of the magnetic resonance dispersion model parameters for quantitative assessment of angiogenesis. Biomed. Signal Process. Control. 26: 23-33 (2016) - [j3]Stefan G. Schalk, Arnoud Postema, Tamerlan A. Saidov, Libertario Demi, Martijn Smeenge, Jean J. M. C. H. de la Rosette, Hessel Wijkstra, Massimo Mischi:
3D surface-based registration of ultrasound and histology in prostate cancer imaging. Comput. Medical Imaging Graph. 47: 29-39 (2016) - 2014
- [j2]Maarten P. J. Kuenen, Ingeborg H. F. Herold, Hendrikus H. M. Korsten, Jean J. M. C. H. de la Rosette, Hessel Wijkstra, Massimo Mischi:
Maximum-Likelihood Estimation for Indicator Dilution Analysis. IEEE Trans. Biomed. Eng. 61(3): 821-831 (2014) - 2011
- [j1]Maarten P. J. Kuenen, Massimo Mischi, Hessel Wijkstra:
Contrast-Ultrasound Diffusion Imaging for Localization of Prostate Cancer. IEEE Trans. Medical Imaging 30(8): 1493-1502 (2011)
Conference and Workshop Papers
- 2023
- [c8]Catarina Dinis Fernandes, Annekoos Schaap, Joan Kant, Petra J. van Houdt, Hessel Wijkstra, Uulke A. van der Heide, Wilbert Zwart, Massimo Mischi, Federica Eduati, Simona Turco:
Prostate cancer risk assessment using a radiogenomic analysis. MeMeA 2023: 1-6 - 2022
- [c7]Peiran Chen, Metin Calis, Hessel Wijkstra, Pintong Huang, Borbála Hunyadi, Massimo Mischi:
Multiparametric ultrasound and machine learning for prostate cancer localization. EUSIPCO 2022: 907-911 - 2021
- [c6]Catarina Dinis Fernandes, Massimo Mischi, Hessel Wijkstra, Jelle O. Barentsz, Stijn W. T. P. J. Heijmink, Simona Turco:
Radiomic combination of spatial and temporal features extracted from DCE-MRI for prostate cancer detection *. EMBC 2021: 3153-3156 - 2018
- [c5]Peiran Chen, Ruud J. G. van Sloun, Simona Turco, Hessel Wijkstra, Patrick Houthuizen, Massimo Mischi:
Dynamic velocity vector and relative pressure estimation in the left ventricle with dynamic contrast-enhanced ultrasound of low frame rates. MeMeA 2018: 1-6 - 2014
- [c4]Massimo Mischi, Hessel Wijkstra:
Contrast dispersion imaging for cancer localization. EMBC 2014: 4268-4271 - [c3]Simona Turco, A. J. E. M. Janssen, Cristina Lavini, Jean J. M. C. H. de la Rosette, Hessel Wijkstra, Massimo Mischi:
Closed-form solution of the convolution integral in the magnetic resonance dispersion model for quantitative assessment of angiogenesis. EMBC 2014: 4272-4275 - 2013
- [c2]Massimo Mischi, Tamerlan A. Saidov, Kyveli Kompatsiari, M. R. W. Engelbrecht, Marcel Breeuwer, Hessel Wijkstra:
Prostate cancer localization by novel magnetic resonance dispersion imaging. EMBC 2013: 2603-2606 - [c1]Stefan G. Schalk, Tamerlan A. Saidov, Hessel Wijkstra, Massimo Mischi:
3D registration of histology and ultrasound data for validation of prostate cancer imaging. Medical Imaging: Image Processing 2013: 86692T
Informal and Other Publications
- 2019
- [i2]Rogier R. Wildeboer, Ruud J. G. van Sloun, Christophe K. Mannaerts, Georg Salomon, Hessel Wijkstra, Massimo Mischi:
Synthetic Elastography using B-mode Ultrasound through a Deep Fully-Convolutional Neural Network. CoRR abs/1908.03573 (2019) - 2018
- [i1]Ruud J. G. van Sloun, Oren Solomon, Matthew Bruce, Zin Z. Khaing, Hessel Wijkstra, Yonina C. Eldar, Massimo Mischi:
Super-resolution Ultrasound Localization Microscopy through Deep Learning. CoRR abs/1804.07661 (2018)
Coauthor Index
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