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ORCIDWitali Aswolinskiy
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Books and Theses
- 2018
[b1]Witali Aswolinskiy:
Learning in the Model Space of Neural Networks. Bielefeld University, Germany, 2018
Journal Articles
- 2024
- [j7]Daan J. Geijs
, Stephan Dooper, Witali Aswolinskiy, Lisa M. Hillen, Avital L. Amir, Geert Litjens:
Detection and subtyping of basal cell carcinoma in whole-slide histopathology using weakly-supervised learning. Medical Image Anal. 93: 103063 (2024) - 2023
- [j6]Stephan Dooper, Hans Pinckaers, Witali Aswolinskiy, Konnie M. Hebeda, Sofia Jarkman, Jeroen van der Laak, Geert Litjens:
Gigapixel end-to-end training using streaming and attention. Medical Image Anal. 88: 102881 (2023) - 2022
- [j5]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:
Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations. npj Digit. Medicine 5 (2022) - 2018
- [j4]Witali Aswolinskiy, René Felix Reinhart, Jochen J. Steil:
Time Series Classification in Reservoir- and Model-Space. Neural Process. Lett. 48(2): 789-809 (2018) - 2017
- [j3]Witali Aswolinskiy, René Felix Reinhart, Jochen Jakob Steil:
Modelling of parametrized processes via regression in the model space of neural networks. Neurocomputing 268: 55-63 (2017) - 2015
- [j2]Witali Aswolinskiy, Gordon Pipa:
RM-SORN: A Reward-Modulated Self-Organizing Recurrent Neural Network. Frontiers Comput. Neurosci. 9: 36 (2015) - 2008
- [j1]Witali Aswolinskiy, Yingfan Lei, Mike Heidrich:
Berücksichtigung zeitlicher Anforderungen bei der Generierung von Testfällen für den Integrationstest. Softwaretechnik-Trends 28(1) (2008)
Conference and Workshop Papers
- 2024
- [c5]Nohemí Sofia León Contreras, Clément Grisi, Witali Aswolinskiy, Simona Vatrano, Filippo Fraggetta, Iris Nagtegaal, Marina D'Amato, Francesco Ciompi:
Benchmarking Hierarchical Image Pyramid Transformer for the Classification of Colon Biopsies and Polyps Histopathology Images. ISBI 2024: 1-4 - 2021
- [c4]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 - 2018
- [c3]Alexandra Moringen, Witali Aswolinskiy, Gereon H. Büscher, Guillaume Walck, Robert Haschke, Helge J. Ritter:
Modeling Target-Distractor Discrimination for Haptic Search in a 3D Environment. BioRob 2018: 845-852 - 2016
- [c2]Witali Aswolinskiy, René Felix Reinhart, Jochen J. Steil:
Time Series Classification in Reservoir- and Model-Space: A Comparison. ANNPR 2016: 197-208 - [c1]Witali Aswolinskiy, René Felix Reinhart, Jochen J. Steil:
Modelling of parameterized processes via regression in the model space. ESANN 2016
Informal and Other Publications
- 2024
- [i1]Nohemí Sofia León Contreras, Marina D'Amato, Francesco Ciompi, Clément Grisi, Witali Aswolinskiy, Simona Vatrano, Filippo Fraggetta, Iris Nagtegaal:
Benchmarking Hierarchical Image Pyramid Transformer for the classification of colon biopsies and polyps in histopathology images. CoRR abs/2405.15127 (2024)
Coauthor Index
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