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2020 – today
- 2021
[j4]David Tellez
, Geert Litjens, Jeroen van der Laak, Francesco Ciompi:
Neural Image Compression for Gigapixel Histopathology Image Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 43(2): 567-578 (2021)- [c5]Witali Aswolinskiy, David Tellez, Gabriel Raya, Lieke van der Woude, Monika Looijen-Salamon, Jeroen van der Laak, Katrien Grunberg, Francesco Ciompi:
Neural image compression for non-small cell lung cancer subtype classification in H&E stained whole-slide images. Medical Imaging: Digital Pathology 2021 - 2020
- [c4]Caner Mercan, G. C. A. M. Mooij, David Tellez, Johannes Lotz, Nick Weiss, Marcel van Gerven, Francesco Ciompi:
Virtual Staining for Mitosis Detection in Breast Histopathology. ISBI 2020: 1770-1774 - [c3]David Tellez, Diederik Höppener, Cornelis Verhoef, Dirk J. Grünhagen, Pieter Nierop, Michal Drozdzal, Jeroen van der Laak, Francesco Ciompi:
Extending Unsupervised Neural Image Compression With Supervised Multitask Learning. MIDL 2020: 770-783 - [i6]Caner Mercan, Germonda Reijnen-Mooij, David Tellez Martin, Johannes Lotz, Nick Weiss, Marcel van Gerven, Francesco Ciompi:
Virtual staining for mitosis detection in Breast Histopathology. CoRR abs/2003.07801 (2020) - [i5]David Tellez, Diederik Höppener, Cornelis Verhoef, Dirk J. Grünhagen, Pieter Nierop, Michal Drozdzal, Jeroen van der Laak, Francesco Ciompi:
Extending Unsupervised Neural Image Compression With Supervised Multitask Learning. CoRR abs/2004.07041 (2020)
2010 – 2019
- 2019
- [j3]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:
Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge. Medical Image Anal. 54: 111-121 (2019) - [j2]David Tellez, Geert Litjens, Péter Bándi, Wouter Bulten, John-Melle Bokhorst, Francesco Ciompi, Jeroen van der Laak:
Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology. Medical Image Anal. 58 (2019) - [i4]David Tellez, Geert Litjens, Péter Bándi, Wouter Bulten, John-Melle Bokhorst, Francesco Ciompi, Jeroen van der Laak:
Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology. CoRR abs/1902.06543 (2019) - 2018
- [j1]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:
Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks. IEEE Trans. Medical Imaging 37(9): 2126-2136 (2018) - [c2]David Tellez, Maschenka Balkenhol, Nico Karssemeijer, Geert Litjens, Jeroen van der Laak, Francesco Ciompi:
H&E stain augmentation improves generalization of convolutional networks for histopathological mitosis detection. Medical Imaging: Digital Pathology 2018: 105810Z - [i3]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:
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge. CoRR abs/1807.08284 (2018) - [i2]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:
Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks. CoRR abs/1808.05896 (2018) - [i1]David Tellez, Geert Litjens, Jeroen van der Laak, Francesco Ciompi:
Neural Image Compression for Gigapixel Histopathology Image Analysis. CoRR abs/1811.02840 (2018) - 2014
- [c1]Tamás Nagy, David Tellez, Ádám Divák, Emma Lógó, Máté Köles, Balázs Péter Hámornik:
Predicting arousal with machine learning of EEG signals. CogInfoCom 2014: 137-140
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