Combining the strengths of Dutch survey and register data in a data challenge to predict fertility (PreFer) - Elizaveta Sivak; Paulina Pankowska; Adriënne Mendrik; Tom Emery; Javier Garcia-Bernardo; Seyit Hocuk; Kasia Karpinska; Angelica Maineri; Joris Mulder; Malvina Nissim; Gert Stulp (J. Comput. Soc. Sci., 2024)

Combining the Strengths of Dutch Survey and Register Data in a Data Challenge to Predict Fertility (PreFer) - Elizaveta Sivak; Paulina Pankowska; Adriënne Mendrik; Tom Emery; Javier Garcia-Bernardo; Seyit Hocuk; Kasia Karpinska; Angelica Maineri; Joris Mulder; Malvina Nissim; Gert Stulp (CoRR, 2024)

Port: A software tool for digital data donation - Laura Boeschoten; Niek C. de Schipper; Adriënne M. Mendrik; Emiel van der Veen; Bella Struminskaya; Heleen Janssen; Theo B. Araujo (J. Open Source Softw., 2023)

Privacy-preserving local analysis of digital trace data: A proof-of-concept - Laura Boeschoten; Adriënne Mendrik; Emiel van der Veen; Jeroen Vloothuis; Haili Hu; Roos Voorvaart; Daniel L. Oberski (Patterns, 2022)

Privacy preserving local analysis of digital trace data: A proof-of-concept - Laura Boeschoten; Adriënne Mendrik; Emiel van der Veen; Jeroen Vloothuis; Haili Hu; Roos Voorvaart; Daniel L. Oberski (CoRR, 2021)

Observer variation-aware medical image segmentation by combining deep learning and surrogate-assisted genetic algorithms - Arkadiy Dushatskiy; Adriënne M. Mendrik; Peter A. N. Bosman; Tanja Alderliesten (Medical Imaging 2020: Image Processing, Houston, TX, USA, February 15-20, 2020, 2020)

Observer variation-aware medical image segmentation by combining deep learning and surrogate-assisted genetic algorithms - Arkadiy Dushatskiy; Adriënne M. Mendrik; Peter A. N. Bosman; Tanja Alderliesten (CoRR, 2020)

The Data Representativeness Criterion: Predicting the Performance of Supervised Classification Based on Data Set Similarity - Evelien Schat; Rens van de Schoot; Wouter M. Kouw; Duco Veen; Adriënne M. Mendrik (CoRR, 2020)

Convolutional neural network surrogate-assisted GOMEA - Arkadiy Dushatskiy; Adriënne M. Mendrik; Tanja Alderliesten; Peter A. N. Bosman (Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2019, Prague, Czech Republic, July 13-17, 2019, 2019)

Learning An Mr Acquisition-Invariant Representation Using Siamese Neural Networks - Wouter M. Kouw; Marco Loog; Lambertus W. Bartels; Adriënne M. Mendrik (16th IEEE International Symposium on Biomedical Imaging, ISBI 2019, Venice, Italy, April 8-11, 2019, 2019)

CT image segmentation of bone for medical additive manufacturing using a convolutional neural network - Jordi Minnema; Maureen van Eijnatten; Wouter M. Kouw; Faruk Diblen; Adriënne Mendrik; Jan Wolff (Comput. Biol. Medicine, 2018)

Poster Abstracts eScience 2018 Conference - Ben van Werkhoven; Adriënne Mendrik; Rob van Nieuwpoort (14th IEEE International Conference on e-Science, e-Science 2018, Amsterdam, The Netherlands, October 29 - November 1, 2018, 2018)

Fast and Easy Mapping of Relational Data to RDF for Rapid Learning Health Care - Martine de Vos; Berend Weel; Adriënne M. Mendrik; Andre Dekker; Johan van Soest (14th IEEE International Conference on e-Science, e-Science 2018, Amsterdam, The Netherlands, October 29 - November 1, 2018, 2018)

Learning an MR acquisition-invariant representation using Siamese neural networks - Wouter M. Kouw; Marco Loog; Wilbert Bartels; Adriënne M. Mendrik (CoRR, 2018)

Beyond the Leaderboard: Insight and Deployment Challenges to Address Research Problems - Adriënne M. Mendrik; Stephen R. Aylward (CoRR, 2018)

Automatic segmentation of MR brain images with a convolutional neural network - Pim Moeskops; Max A. Viergever; Adriënne M. Mendrik; Linda S. de Vries; Manon J. N. L. Benders; Ivana Isgum (CoRR, 2017)

MR Acquisition-Invariant Representation Learning - Wouter M. Kouw; Marco Loog; Lambertus W. Bartels; Adriënne M. Mendrik (CoRR, 2017)

Automatic Segmentation of MR Brain Images With a Convolutional Neural Network - Pim Moeskops; Max A. Viergever; Adriënne M. Mendrik; Linda S. de Vries; Manon J. N. L. Benders; Ivana Isgum (IEEE Trans. Medical Imaging, 2016)

MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans - Adriënne M. Mendrik; Koen L. Vincken; Hugo J. Kuijf; Marcel Breeuwer; Willem H. Bouvy; Jeroen de Bresser; Amir Alansary; Marleen de Bruijne; Aaron Carass; Ayman El-Baz; Amod Jog; Ranveer Katyal; et al. (Comput. Intell. Neurosci., 2015)

Using the Fourth Dimension to Distinguish Between Structures for Anisotropic Diffusion Filtering in 4D CT Perfusion Scans - Adriënne M. Mendrik; Evert-Jan Vonken; Theo Witkamp; Mathias Prokop; Bram van Ginneken; Max A. Viergever (Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data - Third International Workshop, STIA 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014, Revised Selected Papers, 2014)

Evaluation of Diffusion Filters for 3D CTA Liver Vessel Enhancement - Ha Manh Luu; Adriaan Moelker; Camiel Klink; Adriënne Mendrik; Wiro J. Niessen; Theo van Walsum (Abdominal Imaging. Computational and Clinical Applications - 4th International Workshop, Held in Conjunction with MICCAI 2012, Nice, France, October 1, 2012. Proceedings, 2012)

Noise filtering in thin-slice 4D cerebral CT perfusion scans - Adriënne Mendrik; Evert-Jan Vonken; Jan-Willem Dankbaar; Mathias Prokop; Bram van Ginneken (Medical Imaging 2010: Image Processing, San Diego, California, USA, February 14-16, 2010, 2010)

Noise Reduction in Computed Tomography Scans Using 3-D Anisotropic Hybrid Diffusion With Continuous Switch - Adriënne Mendrik; Evert-Jan Vonken; Annemarieke Rutten; Max A. Viergever; Bram van Ginneken (IEEE Trans. Medical Imaging, 2009)

Segmentation of arteries and veins on 4D CT perfusion scans for constructing arteriograms and venograms - Adriënne Mendrik; Evert-Jan Vonken; Annet Waaijer; Ewoud J. Smit; Mathias Prokop; Bram van Ginneken (Medical Imaging 2009: Image Processing, Lake Buena Vista (Orlando Area), Florida, United States, 7-12 February 2009, 2009)

Image Denoising with k-nearest Neighbor and Support Vector Regression - Bram van Ginneken; Adriënne Mendrik (18th International Conference on Pattern Recognition (ICPR 2006), 20-24 August 2006, Hong Kong, China, 2006)

Hybrid diffusion compared with existing diffusion schemes on simulated low dose CT scans - Adriënne Mendrik; Evert-Jan Vonken; Arnold M. R. Schilham; Max A. Viergever; Bram van Ginneken (Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Arlington, VA, USA, 6-9 April 2006, 2006)