Gijs van Tulder

According to our database, Gijs van Tulder authored at least 17 papers between 2011 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Label refinement network from synthetic error augmentation for medical image segmentation.

Shuai Chen, Antonio García-Uceda Juárez, Jiahang Su, Gijs van Tulder, Lennard Wolff, Theo van Walsum, Marleen de Bruijne

Medical Image Anal., 2025

2023

Unpaired, unsupervised domain adaptation assumes your domains are already similar.

Gijs van Tulder, Marleen de Bruijne

Medical Image Anal., 2023

2022

An end-to-end approach to segmentation in medical images with CNN and posterior-CRF.

Shuai Chen, Zahra Sedghi Gamechi, Florian Dubost, Gijs van Tulder, Marleen de Bruijne

Medical Image Anal., 2022

On the reusability of samples in active learning.

Gijs van Tulder, Marco Loog

CoRR, 2022

Generating Artificial Artifacts for Motion Artifact Detection in Chest CT.

Guus van der Ham, Rudolfs Latisenko, Michail Tsiaousis, Gijs van Tulder

Proceedings of the Simulation and Synthesis in Medical Imaging, 2022

2021

Automated Segmentation and Volume Measurement of Intracranial Carotid Artery Calcification on Non-Contrast CT.

Gerda Bortsova, Daniel Bos, Florian Dubost, Meike W. Vernooij, M. Kamran Ikram, Gijs van Tulder, Marleen de Bruijne

CoRR, 2021

Multi-view Analysis of Unregistered Medical Images Using Cross-View Transformers.

Gijs van Tulder, Yao Tong, Elena Marchiori

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Weakly supervised object detection with 2D and 3D regression neural networks.

Florian Dubost, Hieab Adams, Pinar Yilmaz, Gerda Bortsova, Gijs van Tulder, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne

Medical Image Anal., 2020

2019

Learning Cross-Modality Representations From Multi-Modal Images.

Gijs van Tulder, Marleen de Bruijne

IEEE Trans. Medical Imaging, 2019

Multi-task Attention-Based Semi-supervised Learning for Medical Image Segmentation.

Shuai Chen, Gerda Bortsova, Antonio García-Uceda Juárez, Gijs van Tulder, Marleen de Bruijne

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2017

Segmentation of Intracranial Arterial Calcification with Deeply Supervised Residual Dropout Networks.

Gerda Bortsova, Gijs van Tulder, Florian Dubost, Tingying Peng, Nassir Navab, Aad van der Lugt, Daniel Bos, Marleen de Bruijne

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016

Combining Generative and Discriminative Representation Learning for Lung CT Analysis With Convolutional Restricted Boltzmann Machines.

Gijs van Tulder, Marleen de Bruijne

IEEE Trans. Medical Imaging, 2016

Theano: A Python framework for fast computation of mathematical expressions.

Rami Al-Rfou, Guillaume Alain, Amjad Almahairi, Christof Angermüller, Dzmitry Bahdanau, Nicolas Ballas, Frédéric Bastien, Justin Bayer, Anatoly Belikov, Alexander Belopolsky, Yoshua Bengio, Arnaud Bergeron, James Bergstra, Valentin Bisson, Josh Bleecher Snyder, Nicolas Bouchard, Nicolas Boulanger-Lewandowski, Xavier Bouthillier, Alexandre de Brébisson, Olivier Breuleux, Pierre Luc Carrier, Kyunghyun Cho, Jan Chorowski, Paul F. Christiano, Tim Cooijmans, Marc-Alexandre Côté, Myriam Côté, Aaron C. Courville, Yann N. Dauphin, Olivier Delalleau, Julien Demouth, Guillaume Desjardins, Sander Dieleman, Laurent Dinh, Melanie Ducoffe, Vincent Dumoulin, Samira Ebrahimi Kahou, Dumitru Erhan, Ziye Fan, Orhan Firat, Mathieu Germain, Xavier Glorot, Ian J. Goodfellow, Matthew Graham, Çaglar Gülçehre, Philippe Hamel, Iban Harlouchet, Jean-Philippe Heng, Balázs Hidasi, Sina Honari, Arjun Jain, Sébastien Jean, Kai Jia, Mikhail Korobov, Vivek Kulkarni, Alex Lamb, Pascal Lamblin, Eric Larsen, César Laurent, Sean Lee, Simon Lefrançois, Simon Lemieux, Nicholas Léonard, Zhouhan Lin, Jesse A. Livezey, Cory Lorenz, Jeremiah Lowin, Qianli Ma, Pierre-Antoine Manzagol, Olivier Mastropietro, Robert McGibbon, Roland Memisevic, Bart van Merriënboer, Vincent Michalski, Mehdi Mirza, Alberto Orlandi, Christopher Joseph Pal, Razvan Pascanu, Mohammad Pezeshki, Colin Raffel, Daniel Renshaw, Matthew Rocklin, Adriana Romero, Markus Roth, Peter Sadowski, John Salvatier, François Savard, Jan Schlüter, John Schulman, Gabriel Schwartz, Iulian Vlad Serban, Dmitriy Serdyuk, Samira Shabanian, Étienne Simon, Sigurd Spieckermann, S. Ramana Subramanyam, Jakub Sygnowski, Jérémie Tanguay, Gijs van Tulder, Joseph P. Turian, Sebastian Urban, Pascal Vincent, Francesco Visin, Harm de Vries, David Warde-Farley, Dustin J. Webb, Matthew Willson, Kelvin Xu, Lijun Xue, Li Yao, Saizheng Zhang, Ying Zhang

CoRR, 2016

Representation Learning for Cross-Modality Classification.

Gijs van Tulder, Marleen de Bruijne

Proceedings of the Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging, 2016

2015

Why Does Synthesized Data Improve Multi-sequence Classification?

Gijs van Tulder, Marleen de Bruijne

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

2014

Learning Features for Tissue Classification with the Classification Restricted Boltzmann Machine.

Gijs van Tulder, Marleen de Bruijne

Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2014

2011

Question Classification by Weighted Combination of Lexical, Syntactic and Semantic Features.

Babak Loni, Gijs van Tulder, Pascal Wiggers, David M. J. Tax, Marco Loog

Proceedings of the Text, Speech and Dialogue - 14th International Conference, 2011