Image Denoising with k-nearest Neighbor and Support Vector Regression. - Bram van Ginneken; Adriënne Mendrik (ICPR (3), 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 (ISBI, 2006)

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 (Image Processing, 2009)

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)

Noise filtering in thin-slice 4D cerebral CT perfusion scans. - Adriënne Mendrik; Evert-Jan Vonken; Jan-Willem Dankbaar; Mathias Prokop; Bram van Ginneken (Image Processing, 2010)

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, 2012)

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 (STIA, 2014)

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)

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)

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

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 (eScience, 2018)

Poster Abstracts eScience 2018 Conference. - Ben van Werkhoven; Adriënne Mendrik; Rob van Nieuwpoort (eScience, 2018)

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)

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)

Convolutional neural network surrogate-assisted GOMEA. - Arkadiy Dushatskiy; Adriënne M. Mendrik; Tanja Alderliesten; Peter A. N. Bosman (GECCO, 2019)

Learning An Mr Acquisition-Invariant Representation Using Siamese Neural Networks. - Wouter M. Kouw; Marco Loog; Lambertus W. Bartels; Adriënne M. Mendrik (ISBI, 2019)

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 (Image Processing, 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)

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)

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)

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)