Witali Aswolinskiy

According to our database, Witali Aswolinskiy authored at least 13 papers between 2008 and 2024.

Collaborative distances:

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

2024

Detection and subtyping of basal cell carcinoma in whole-slide histopathology using weakly-supervised learning.

Daan J. Geijs, Stephan Dooper, Witali Aswolinskiy, Lisa M. Hillen, Avital L. Amir, Geert Litjens

Medical Image Anal., 2024

Benchmarking Hierarchical Image Pyramid Transformer for the Classification of Colon Biopsies and Polyps Histopathology Images.

Nohemí Sofia León Contreras, Clément Grisi, Witali Aswolinskiy, Simona Vatrano, Filippo Fraggetta, Iris Nagtegaal, Marina D'Amato, Francesco Ciompi

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Gigapixel end-to-end training using streaming and attention.

Stephan Dooper, Hans Pinckaers, Witali Aswolinskiy, Konnie M. Hebeda, Sofia Jarkman, Jeroen van der Laak, Geert Litjens

Medical Image Anal., August, 2023

2022

Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations.

Niccolò Marini, Stefano Marchesin, Sebastian Otálora, Marek Wodzinski, Alessandro Caputo, Mart van Rijthoven, Witali Aswolinskiy, John-Melle Bokhorst, Damian Podareanu, Edyta Petters, Svetla Boytcheva, Genziana Buttafuoco, Simona Vatrano, Filippo Fraggetta, Jeroen van der Laak, Maristella Agosti, Francesco Ciompi, Gianmaria Silvello, Henning Müller, Manfredo Atzori

npj Digit. Medicine, 2022

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

2018

Learning in the Model Space of Neural Networks

Witali Aswolinskiy

PhD thesis, 2018

Time Series Classification in Reservoir- and Model-Space.

Witali Aswolinskiy, René Felix Reinhart, Jochen J. Steil

Neural Process. Lett., 2018

Modeling Target-Distractor Discrimination for Haptic Search in a 3D Environment.

Alexandra Moringen, Witali Aswolinskiy, Gereon H. Büscher, Guillaume Walck, Robert Haschke, Helge J. Ritter

Proceedings of the 7th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2018

2017

Modelling of parametrized processes via regression in the model space of neural networks.

Witali Aswolinskiy, René Felix Reinhart, Jochen Jakob Steil

Neurocomputing, 2017

2016

Modelling of parameterized processes via regression in the model space.

Witali Aswolinskiy, René Felix Reinhart, Jochen J. Steil

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Time Series Classification in Reservoir- and Model-Space: A Comparison.

Witali Aswolinskiy, René Felix Reinhart, Jochen J. Steil

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2016

2015

RM-SORN: A Reward-Modulated Self-Organizing Recurrent Neural Network.

Witali Aswolinskiy, Gordon Pipa

Frontiers Comput. Neurosci., 2015

2008

Berücksichtigung zeitlicher Anforderungen bei der Generierung von Testfällen für den Integrationstest.

Witali Aswolinskiy, Yingfan Lei, Mike Heidrich

Softwaretechnik-Trends, 2008