Search Results - "van Tulder, Gijs"

Learning Cross-Modality Representations From Multi-Modal Images by van Tulder, Gijs, de Bruijne, Marleen

“…Machine learning algorithms can have difficulties adapting to data from different sources, for example from different imaging modalities. We present and…”
Get full text

Combining Generative and Discriminative Representation Learning for Lung CT Analysis With Convolutional Restricted Boltzmann Machines by van Tulder, Gijs, de Bruijne, Marleen

“…The choice of features greatly influences the performance of a tissue classification system. Despite this, many systems are built with standard, predefined…”
Get full text

Weakly supervised object detection with 2D and 3D regression neural networks by Dubost, Florian, Adams, Hieab, Yilmaz, Pinar, Bortsova, Gerda, Tulder, Gijs van, Ikram, M. Arfan, Niessen, Wiro, Vernooij, Meike W., Bruijne, Marleen de

“…•A novel weakly supervised detection method based on convolution neural networks.•Encoder-decoder architecture to compute high resolution attention…”
Get full text

Chest MRI to diagnose early diaphragmatic weakness in Pompe disease by Harlaar, Laurike, Ciet, Pierluigi, van Tulder, Gijs, Pittaro, Alice, van Kooten, Harmke A, van der Beek, Nadine A M E, Brusse, Esther, Wielopolski, Piotr A, de Bruijne, Marleen, van der Ploeg, Ans T, Tiddens, Harm A W M, van Doorn, Pieter A

“…In Pompe disease, an inherited metabolic muscle disorder, severe diaphragmatic weakness often occurs. Enzyme replacement treatment is relatively ineffective…”
Get full text

Unpaired, unsupervised domain adaptation assumes your domains are already similar by van Tulder, Gijs, de Bruijne, Marleen

“…Unsupervised domain adaptation is a popular method in medical image analysis, but it can be tricky to make it work: without labels to link the domains, domains…”
Get full text

Multi-view analysis of unregistered medical images using cross-view transformers by van Tulder, Gijs, Tong, Yao, Marchiori, Elena

“…In: M. de Bruijne et al. (Eds.): MICCAI 2021, LNCS 12903, pp. 104-113, Springer Nature Switzerland, 2021 Multi-view medical image analysis often depends on the…”
Get full text

An end-to-end approach to segmentation in medical images with CNN and posterior-CRF by Chen, Shuai, Sedghi Gamechi, Zahra, Dubost, Florian, van Tulder, Gijs, de Bruijne, Marleen

“…•A novel CRF method using the learning-based CNN features for medical image segmentation.•The performance of CRF in image segmentation highly depends on its…”
Get full text

Automated Segmentation and Volume Measurement of Intracranial Carotid Artery Calcification on Non-Contrast CT by Bortsova, Gerda, Bos, Daniel, Dubost, Florian, Vernooij, Meike W, Ikram, M. Kamran, van Tulder, Gijs, de Bruijne, Marleen

“…Purpose: To evaluate a fully-automated deep-learning-based method for assessment of intracranial carotid artery calcification (ICAC). Methods: Two observers…”
Get full text

Label refinement network from synthetic error augmentation for medical image segmentation by Chen, Shuai, Garcia-Uceda, Antonio, Su, Jiahang, van Tulder, Gijs, Wolff, Lennard, van Walsum, Theo, de Bruijne, Marleen

“…Deep convolutional neural networks for image segmentation do not learn the label structure explicitly and may produce segmentations with an incorrect…”
Get full text

MRI changes in diaphragmatic motion and curvature in Pompe disease over time by Harlaar, Laurike, Ciet, Pierluigi, van Tulder, Gijs, van Kooten, Harmke A., van der Beek, Nadine A. M. E., Brusse, Esther, de Bruijne, Marleen, Tiddens, Harm A. W. M., van der Ploeg, Ans T., van Doorn, Pieter A.

“…Objectives To evaluate changes in diaphragmatic function in Pompe disease using MRI over time, both during natural disease course and during treatment with…”
Get full text

Automated Segmentation and Volume Measurement of Intracranial Internal Carotid Artery Calcification at Noncontrast CT by Bortsova, Gerda, Bos, Daniel, Dubost, Florian, Vernooij, Meike W, Ikram, M Kamran, van Tulder, Gijs, de Bruijne, Marleen

“…To develop and evaluate a fully-automated deep learning-based method for assessment of intracranial internal carotid artery calcification (ICAC). This was a…”
Get full text

Diaphragmatic dysfunction in neuromuscular disease, an MRI study by Harlaar, Laurike, Ciet, Pierluigi, van Tulder, Gijs, Brusse, Esther, Timmermans, Remco G.M., Janssen, Wim G.M., de Bruijne, Marleen, van der Ploeg, Ans T., Tiddens, Harm A.W.M., van Doorn, Pieter A., van der Beek, Nadine A.M.E.

“…•MRI can evaluate diaphragm and intercostal muscle function in neuromuscular disease.•Diaphragmatic motion is decreased both in myopathies and motor neuron…”
Get full text

On the reusability of samples in active learning by van Tulder, Gijs, Loog, Marco

“…An interesting but not extensively studied question in active learning is that of sample reusability: to what extent can samples selected for one learner be…”
Get full text

Label Refinement Network from Synthetic Error Augmentation for Medical Image Segmentation by Chen, Shuai, Garcia-Uceda, Antonio, Su, Jiahang, van Tulder, Gijs, Wolff, Lennard, van Walsum, Theo, de Bruijne, Marleen

“…Deep convolutional neural networks for image segmentation do not learn the label structure explicitly and may produce segmentations with an incorrect…”
Get full text

Multi-Task Attention-Based Semi-Supervised Learning for Medical Image Segmentation by Chen, Shuai, Bortsova, Gerda, Juarez, Antonio Garcia-Uceda, van Tulder, Gijs, de Bruijne, Marleen

“…We propose a novel semi-supervised image segmentation method that simultaneously optimizes a supervised segmentation and an unsupervised reconstruction…”
Get full text

Weakly Supervised Object Detection with 2D and 3D Regression Neural Networks by Dubost, Florian, Adams, Hieab, Yilmaz, Pinar, Bortsova, Gerda, van Tulder, Gijs, Ikram, M. Arfan, Niessen, Wiro, Vernooij, Meike, de Bruijne, Marleen

“…Finding automatically multiple lesions in large images is a common problem in medical image analysis. Solving this problem can be challenging if, during…”
Get full text

Segmentation of Intracranial Arterial Calcification with Deeply Supervised Residual Dropout Networks by Bortsova, Gerda, van Tulder, Gijs, Dubost, Florian, Peng, Tingying, Navab, Nassir, van der Lugt, Aad, Bos, Daniel, de Bruijne, Marleen

“…Intracranial carotid artery calcification (ICAC) is a major risk factor for stroke, and might contribute to dementia and cognitive decline. Reliance on…”
Get full text

Theano: A Python framework for fast computation of mathematical expressions by The Theano Development Team, Al-Rfou, Rami, Alain, Guillaume, Almahairi, Amjad, Angermueller, Christof, Bahdanau, Dzmitry, Ballas, Nicolas, Bastien, Frédéric, Bayer, Justin, Belikov, Anatoly, Belopolsky, Alexander, Bengio, Yoshua, Bergeron, Arnaud, Snyder, Josh Bleecher, Bouchard, Nicolas, Bouthillier, Xavier, de Brébisson, Alexandre, Breuleux, Olivier, Carrier, Pierre-Luc, Cho, Kyunghyun, Chorowski, Jan, Christiano, Paul, Cooijmans, Tim, Côté, Marc-Alexandre, Côté, Myriam, Courville, Aaron, Dauphin, Yann N, Delalleau, Olivier, Demouth, Julien, Desjardins, Guillaume, Dieleman, Sander, Ducoffe, Mélanie, Dumoulin, Vincent, Kahou, Samira Ebrahimi, Erhan, Dumitru, Fan, Ziye, Firat, Orhan, Germain, Mathieu, Glorot, Xavier, Graham, Matt, Gulcehre, Caglar, Hamel, Philippe, Harlouchet, Iban, Heng, Jean-Philippe, Hidasi, Balázs, Jain, Arjun, Jean, Sébastien, Jia, Kai, Korobov, Mikhail, Kulkarni, Vivek, Lamb, Alex, Lamblin, Pascal, Larsen, Eric, Laurent, César, Lee, Sean, Lefrancois, Simon, Lemieux, Simon, Léonard, Nicholas, Lin, Zhouhan, Livezey, Jesse A, Lowin, Jeremiah, Manzagol, Pierre-Antoine, Mastropietro, Olivier, McGibbon, Robert T, Memisevic, Roland, van Merriënboer, Bart, Michalski, Vincent, Mirza, Mehdi, Orlandi, Alberto, Pascanu, Razvan, Raffel, Colin, Rocklin, Matthew, Romero, Adriana, Sadowski, Peter, Savard, François, Schlüter, Jan, Schulman, John, Schwartz, Gabriel, Serban, Iulian Vlad, Serdyuk, Dmitriy, Shabanian, Samira, Simon, Étienne, Spieckermann, Sigurd, Subramanyam, S. Ramana, Sygnowski, Jakub, Tanguay, Jérémie, van Tulder, Gijs, Turian, Joseph, Urban, Sebastian, Vincent, Pascal, Visin, Francesco, de Vries, Harm, Warde-Farley, David, Webb, Dustin J, Willson, Matthew, Xu, Kelvin, Xue, Lijun, Yao, Li, Zhang, Saizheng, Zhang, Ying

“…Theano is a Python library that allows to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Since its…”
Get full text