David Tellez

According to our database, David Tellez authored at least 11 papers between 2014 and 2021.

Collaborative distances:

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

2021

Neural Image Compression for Gigapixel Histopathology Image Analysis.

David Tellez, Geert Litjens, Jeroen van der Laak, Francesco Ciompi

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Neural image compression for non-small cell lung cancer subtype classification in H&E stained whole-slide images.

Witali Aswolinskiy, David Tellez, Gabriel Raya, Lieke van der Woude, Monika Looijen-Salamon, Jeroen van der Laak, Katrien Grunberg, Francesco Ciompi

Proceedings of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021

2020

Virtual staining for mitosis detection in Breast Histopathology.

Caner Mercan, Germonda Reijnen-Mooij, David Tellez Martin, Johannes Lotz, Nick Weiss, Marcel van Gerven, Francesco Ciompi

CoRR, 2020

Extending Unsupervised Neural Image Compression With Supervised Multitask Learning.

David Tellez, Diederik Höppener, Cornelis Verhoef, Dirk J. Grünhagen, Pieter Nierop, Michal Drozdzal, Jeroen van der Laak, Francesco Ciompi

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Virtual Staining for Mitosis Detection in Breast Histopathology.

Caner Mercan, G. C. A. M. Mooij, David Tellez, Johannes Lotz, Nick Weiss, Marcel van Gerven, Francesco Ciompi

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge.

Mitko Veta, Yujing J. Heng, Nikolas Stathonikos, Babak Ehteshami Bejnordi, Francisco Beca, Thomas Wollmann, Karl Rohr, Manan A. Shah, Dayong Wang, Mikaël Rousson, Martin Hedlund, David Tellez, Francesco Ciompi, Erwan Zerhouni, David Lanyi, Matheus Palhares Viana, Vassili Kovalev, Vitali Liauchuk, Josien P. W. Pluim

Medical Image Anal., 2019

Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology.

David Tellez, Geert Litjens, Péter Bándi, Wouter Bulten, John-Melle Bokhorst, Francesco Ciompi, Jeroen van der Laak

Medical Image Anal., 2019

2018

Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks.

David Tellez, Maschenka Balkenhol, Irene Otte-Höller, Rob van de Loo, Rob Vogels, Peter Bult, Carla Wauters, Willem Vreuls, Suzanne Mol, Nico Karssemeijer, Geert Litjens, Jeroen van der Laak, Francesco Ciompi

IEEE Trans. Medical Imaging, 2018

Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge.

Mitko Veta, Yujing J. Heng, Nikolas Stathonikos, Babak Ehteshami Bejnordi, Francisco Beca, Thomas Wollmann, Karl Rohr, Manan A. Shah, Dayong Wang, Mikaël Rousson, Martin Hedlund, David Tellez, Francesco Ciompi, Erwan Zerhouni, David Lanyi, Matheus Palhares Viana, Vassili Kovalev, Vitali Liauchuk, Hady Ahmady Phoulady, Talha Qaiser, Simon Graham, Nasir M. Rajpoot, Erik Sjöblom, Jesper Molin, Kyunghyun Paeng, Sangheum Hwang, Sunggyun Park, Zhipeng Jia, Eric I-Chao Chang, Yan Xu, Andrew H. Beck, Paul J. van Diest, Josien P. W. Pluim

CoRR, 2018

H&E stain augmentation improves generalization of convolutional networks for histopathological mitosis detection.

David Tellez, Maschenka Balkenhol, Nico Karssemeijer, Geert Litjens, Jeroen van der Laak, Francesco Ciompi

Proceedings of the Medical Imaging 2018: Digital Pathology, 2018

2014

Predicting arousal with machine learning of EEG signals.

Tamás Nagy, David Tellez, Ádám Divák, Emma Lógó, Máté Köles, Balázs Péter Hámornik

Proceedings of the 5th IEEE Conference on Cognitive Infocommunications, 2014