Gijs van Tulder

22 papers Journal 14Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Label refinement network from synthetic error augmentation for medical image segmentation. Medical Image Anal. Shuai Chen, Antonio García-Uceda Juárez, Jiahang Su, Gijs van Tulder, Lennard Wolff, Theo van Walsum, Marleen de Bruijne
2023	J	`jnl`	Unpaired, unsupervised domain adaptation assumes your domains are already similar. Medical Image Anal. Gijs van Tulder, Marleen de Bruijne
2022	J	`jnl`	An end-to-end approach to segmentation in medical images with CNN and posterior-CRF. Medical Image Anal. Shuai Chen, Zahra Sedghi Gamechi, Florian Dubost, Gijs van Tulder, Marleen de Bruijne
2022	—	`conf`	Generating Artificial Artifacts for Motion Artifact Detection in Chest CT. SASHIMI@MICCAI Guus van der Ham, Rudolfs Latisenko, Michail Tsiaousis, Gijs van Tulder
2022	J	`jnl`	Label Refinement Network from Synthetic Error Augmentation for Medical Image Segmentation. CoRR Shuai Chen, Antonio Garcia-Uceda Juarez, Jiahang Su, Gijs van Tulder, Lennard Wolff, Theo van Walsum, Marleen de Bruijne
2022	J	`jnl`	On the reusability of samples in active learning. CoRR Gijs van Tulder, Marco Loog
2021	J	`jnl`	Automated Segmentation and Volume Measurement of Intracranial Carotid Artery Calcification on Non-Contrast CT. CoRR Gerda Bortsova, Daniel Bos, Florian Dubost, Meike W. Vernooij, M. Kamran Ikram, Gijs van Tulder, Marleen de Bruijne
2021	—	`conf`	Multi-view Analysis of Unregistered Medical Images Using Cross-View Transformers. MICCAI (3) Gijs van Tulder, Yao Tong, Elena Marchiori
2021	J	`jnl`	Multi-view analysis of unregistered medical images using cross-view transformers. CoRR Gijs van Tulder, Yao Tong, Elena Marchiori
2020	J	`jnl`	Weakly supervised object detection with 2D and 3D regression neural networks. Medical Image Anal. Florian Dubost, Hieab Adams, Pinar Yilmaz, Gerda Bortsova, Gijs van Tulder, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne
2019	J	`jnl`	Learning Cross-Modality Representations From Multi-Modal Images. IEEE Trans. Medical Imaging Gijs van Tulder, Marleen de Bruijne
2019	J	`jnl`	Multi-Task Attention-Based Semi-Supervised Learning for Medical Image Segmentation. CoRR Shuai Chen, Gerda Bortsova, Antonio Garcia-Uceda Juarez, Gijs van Tulder, Marleen de Bruijne
2019	—	`conf`	Multi-task Attention-Based Semi-supervised Learning for Medical Image Segmentation. MICCAI (3) Shuai Chen, Gerda Bortsova, Antonio García-Uceda Juárez, Gijs van Tulder, Marleen de Bruijne
2019	J	`jnl`	Weakly Supervised Object Detection with 2D and 3D Regression Neural Networks. CoRR Florian Dubost, Hieab Adams, Pinar Yilmaz, Gerda Bortsova, Gijs van Tulder, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne
2017	—	`conf`	Segmentation of Intracranial Arterial Calcification with Deeply Supervised Residual Dropout Networks. MICCAI (3) Gerda Bortsova, Gijs van Tulder, Florian Dubost, Tingying Peng, Nassir Navab, Aad van der Lugt, Daniel Bos, Marleen de Bruijne
2017	J	`jnl`	Segmentation of Intracranial Arterial Calcification with Deeply Supervised Residual Dropout Networks. CoRR Gerda Bortsova, Gijs van Tulder, Florian Dubost, Tingying Peng, Nassir Navab, Aad van der Lugt, Daniel Bos, Marleen de Bruijne
2016	J	`jnl`	Combining Generative and Discriminative Representation Learning for Lung CT Analysis With Convolutional Restricted Boltzmann Machines. IEEE Trans. Medical Imaging Gijs van Tulder, Marleen de Bruijne
2016	—	`conf`	Representation Learning for Cross-Modality Classification. MCV/BAMBI@MICCAI Gijs van Tulder, Marleen de Bruijne
2016	J	`jnl`	Theano: A Python framework for fast computation of mathematical expressions. CoRR 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
2015	—	`conf`	Why Does Synthesized Data Improve Multi-sequence Classification? MICCAI (1) Gijs van Tulder, Marleen de Bruijne
2014	—	`conf`	Learning Features for Tissue Classification with the Classification Restricted Boltzmann Machine. MCV Gijs van Tulder, Marleen de Bruijne
2011	—	`conf`	Question Classification by Weighted Combination of Lexical, Syntactic and Semantic Features. TSD Babak Loni, Gijs van Tulder, Pascal Wiggers, David M. J. Tax, Marco Loog