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Marcel van Herk
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2020 – today
- 2023
- [c11]Edward G. A. Henderson, Marcel van Herk, Eliana M. Vasquez Osorio:
The Impact of Training Dataset Size and Ensemble Inference Strategies on Head and Neck Auto-Segmentation. ISBI 2023: 1-4 - [c10]Dónal M. McSweeney, Paul A. Bromiley, Andrew Green, Marcel van Herk, Alan McWilliam:
Fusion Contours as a Source of Segmentation Training Data: A Simulation Study. ISBI 2023: 1-6 - [c9]Edward G. A. Henderson, Marcel van Herk, Andrew Green, Eliana M. Vasquez Osorio:
Unsupervised Correspondence with Combined Geometric Learning and Imaging for Radiotherapy Applications. ShapeMI@MICCAI 2023: 75-89 - [i5]Edward G. A. Henderson, Marcel van Herk, Eliana M. Vasquez Osorio:
The impact of training dataset size and ensemble inference strategies on head and neck auto-segmentation. CoRR abs/2303.17318 (2023) - [i4]Edward G. A. Henderson, Marcel van Herk, Andrew F. Green, Eliana M. Vasquez Osorio:
Unsupervised correspondence with combined geometric learning and imaging for radiotherapy applications. CoRR abs/2309.14269 (2023) - 2022
- [c8]Edward G. A. Henderson, Andrew F. Green, Marcel van Herk, Eliana M. Vasquez Osorio:
Automatic Identification of Segmentation Errors for Radiotherapy Using Geometric Learning. MICCAI (5) 2022: 319-329 - [i3]Edward G. A. Henderson, Andrew F. Green, Marcel van Herk, Eliana M. Vasquez Osorio:
Automatic identification of segmentation errors for radiotherapy using geometric learning. CoRR abs/2206.13317 (2022) - [i2]Edward G. A. Henderson, Eliana M. Vasquez Osorio, Marcel van Herk, Andrew F. Green:
Generalised Automatic Anatomy Finder (GAAF): A general framework for 3D location-finding in CT scans. CoRR abs/2209.06042 (2022) - 2020
- [i1]Marco Virgolin, Ziyuan Wang, Brian V. Balgobind, Irma W. E. M. van Dijk, Jan Wiersma, Petra S. Kroon, Geert O. R. Janssens, Marcel van Herk, D. C. Hodgson, L. Zadravec Zaletel, C. R. N. Rasch, Arjan Bel, Peter A. N. Bosman, Tanja Alderliesten:
Surrogate-free machine learning-based organ dose reconstruction for pediatric abdominal radiotherapy. CoRR abs/2002.07161 (2020)
2010 – 2019
- 2019
- [j6]Kleopatra Pirpinia, Peter A. N. Bosman, Jan-Jakob Sonke, Marcel van Herk, Tanja Alderliesten:
Evolutionary Machine Learning for Multi-Objective Class Solutions in Medical Deformable Image Registration. Algorithms 12(5): 99 (2019) - [c7]Kleopatra Pirpinia, Peter A. N. Bosman, Jan-Jakob Sonke, Marcel van Herk, Tanja Alderliesten:
Evolutionary multi-objective meta-optimization of deformation and tissue removal parameters improves the performance of deformable image registration of pre- and post-surgery images. Image Processing 2019: 1094939 - 2017
- [j5]Anet Aselmaa, Marcel van Herk, Yu Song, Richard H. M. Goossens, Anne Laprie:
The influence of automation on tumor contouring. Cogn. Technol. Work. 19(4): 795-808 (2017) - [j4]Anet Aselmaa, Marcel van Herk, Anne Laprie, Ursula Nestle, Irina Götz, Nicole Wiedenmann, Tanja Schimek-Jasch, Francois Picaud, Charlotte Syrykh, Leonel V. Cagetti, Maria Jolnerovski, Yu Song, Richard H. M. Goossens:
Using a contextualized sensemaking model for interaction design: A case study of tumor contouring. J. Biomed. Informatics 65: 145-158 (2017) - 2016
- [j3]Renan Sales Barros, Sílvia Delgado Olabarriaga, Jordi Borst, Marianne A. A. van Walderveen, Jorrit S. Posthuma, Geert J. Streekstra, Marcel van Herk, Charles B. L. M. Majoie, Henk A. Marquering:
Dynamic CT perfusion image data compression for efficient parallel processing. Medical Biol. Eng. Comput. 54(2-3): 463-473 (2016) - [c6]Kleopatra Pirpinia, Peter A. N. Bosman, Jan-Jakob Sonke, Marcel van Herk, Tanja Alderliesten:
A first step toward uncovering the truth about weight tuning in deformable image registration. Image Processing 2016: 978445 - 2015
- [c5]Kleopatra Pirpinia, Tanja Alderliesten, Jan-Jakob Sonke, Marcel van Herk, Peter A. N. Bosman:
Diversifying Multi-Objective Gradient Techniques and their Role in Hybrid Multi-Objective Evolutionary Algorithms for Deformable Medical Image Registration. GECCO 2015: 1255-1262 - [c4]Kleopatra Pirpinia, Peter A. N. Bosman, Jan-Jakob Sonke, Marcel van Herk, Tanja Alderliesten:
On the usefulness of gradient information in multi-objective deformable image registration using a B-spline-based dual-dynamic transformation model: comparison of three optimization algorithms. Image Processing 2015: 941339
2000 – 2009
- 2009
- [j2]Bart Carelsen, Remmet Jonges, Simon D. Strackee, Mario Maas, Patricia van Kemenade, Cornelis A. Grimbergen, Marcel van Herk, Geert J. Streekstra:
Detection of In Vivo Dynamic 3-D Motion Patterns in the Wrist Joint. IEEE Trans. Biomed. Eng. 56(4): 1236-1244 (2009) - 2008
- [c3]Simon Rit, Jochem Wolthaus, Marcel van Herk, Jan-Jakob Sonke:
On-the-Fly Motion-Compensated Cone-Beam CT Using an a Priori Motion Model. MICCAI (1) 2008: 729-736 - 2001
- [c2]David A. Jaffray, Marcel van Herk, Joos Lebesque, Alvaro Martinez:
Image Guided Radiotherapy of the Prostate. MICCAI 2001: 1075-1080 - [c1]Niels Dekker, Lennert S. Ploeger, Marcel van Herk:
Evaluation of Cost Functions for Gray Value Matching of 2D Images in Radiotherapy. MICCAI 2001: 1354-1357
1990 – 1999
- 1992
- [j1]Marcel van Herk:
A fast algorithm for local minimum and maximum filters on rectangular and octagonal kernels. Pattern Recognit. Lett. 13(7): 517-521 (1992)
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