Witali Aswolinskiy

16 papers B 1Journal 10Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Multicentric Dataset for Training and Benchmarking Breast Cancer Segmentation in H&E Slides.
CoRR
Carlijn M. Lems, Leslie Tessier, John-Melle Bokhorst, Mart van Rijthoven, Witali Aswolinskiy, Matteo Pozzi, Natalie Klubickova, Suzanne Dintzis, Michela Campora, Maschenka Balkenhol, Peter Bult, Joey Spronck, Thomas Detone, Mattia Barbareschi, Enrico Munari, Giuseppe Bogina, Jelle Wesseling, Esther H. Lips, Francesco Ciompi, Frédérique Meeuwsen, Jeroen van der Laak
2025 J jnl
The DRAGON benchmark for clinical NLP.
npj Digit. Medicine
Joeran S. Bosma, Koen Dercksen, Luc Builtjes, Romain André, Christian Roest, Stefan J. Fransen, Constant R. Noordman, Mar Navarro-Padilla, Judith Lefkes, Natália Alves, Max J. J. de Grauw, Leander van Eekelen, Joey Spronck, Megan Schuurmans, Bram De Wilde, Ward Hendrix, Witali Aswolinskiy, Anindo Saha, Jasper J. Twilt, Daan Geijs, Jeroen Veltman, Derya Yakar, Maarten de Rooij, Francesco Ciompi, Alessa Hering, Jeroen Geerdink, Henkjan Huisman, Quintin van Lohuizen, Michelle Stegeman, Karlijn Rutten, Inge M. E. Smit, Gijs Stultiens, Christiaan G. Overduin, M. J. C. M. Rutten, Ernst Th. Scholten, Rachel S. van der Post, Katrien Grunberg, Shoko Vos, Elise M. G. Taken, Iris D. Nagtegaal, Anne Mickan, Miriam Groeneveld, Paul K. Gerke, James A. Meakin, Monika Looijen-Salamon, Tijmen L. M. de Haas, Fabian Hoitsma, Marina D'Amato
2024 — conf
Benchmarking Hierarchical Image Pyramid Transformer for the Classification of Colon Biopsies and Polyps Histopathology Images.
ISBI
Nohemí Sofia León Contreras, Clément Grisi, Witali Aswolinskiy, Simona Vatrano, Filippo Fraggetta, Iris Nagtegaal, Marina D'Amato, Francesco Ciompi
2024 J jnl
Benchmarking Hierarchical Image Pyramid Transformer for the classification of colon biopsies and polyps in histopathology images.
CoRR
Nohemí Sofia León Contreras, Marina D'Amato, Francesco Ciompi, Clément Grisi, Witali Aswolinskiy, Simona Vatrano, Filippo Fraggetta, Iris Nagtegaal
2024 J jnl
Detection and subtyping of basal cell carcinoma in whole-slide histopathology using weakly-supervised learning.
Medical Image Anal.
Daan J. Geijs, Stephan Dooper, Witali Aswolinskiy, Lisa M. Hillen, Avital L. Amir, Geert Litjens
2023 J jnl
Gigapixel end-to-end training using streaming and attention.
Medical Image Anal.
Stephan Dooper, Hans Pinckaers, Witali Aswolinskiy, Konnie M. Hebeda, Sofia Jarkman, Jeroen van der Laak, Geert Litjens
2022 J jnl
Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations.
npj Digit. Medicine
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
2021 — conf
Neural image compression for non-small cell lung cancer subtype classification in H&E stained whole-slide images.
Digital Pathology
Witali Aswolinskiy, David Tellez, Gabriel Raya, Lieke van der Woude, Monika Looijen-Salamon, Jeroen van der Laak, Katrien Grunberg, Francesco Ciompi
2018 — —
Learning in the Model Space of Neural Networks
Witali Aswolinskiy
2018 — conf
Modeling Target-Distractor Discrimination for Haptic Search in a 3D Environment.
BioRob
Alexandra Moringen, Witali Aswolinskiy, Gereon H. Büscher, Guillaume Walck, Robert Haschke, Helge J. Ritter
2018 J jnl
Time Series Classification in Reservoir- and Model-Space.
Neural Process. Lett.
Witali Aswolinskiy, René Felix Reinhart, Jochen J. Steil
2017 J jnl
Modelling of parametrized processes via regression in the model space of neural networks.
Neurocomputing
Witali Aswolinskiy, René Felix Reinhart, Jochen Jakob Steil
2016 B conf
Modelling of parameterized processes via regression in the model space.
ESANN
Witali Aswolinskiy, René Felix Reinhart, Jochen J. Steil
2016 — conf
Time Series Classification in Reservoir- and Model-Space: A Comparison.
ANNPR
Witali Aswolinskiy, René Felix Reinhart, Jochen J. Steil
2015 J jnl
RM-SORN: A Reward-Modulated Self-Organizing Recurrent Neural Network.
Frontiers Comput. Neurosci.
Witali Aswolinskiy, Gordon Pipa
2008 J jnl
Berücksichtigung zeitlicher Anforderungen bei der Generierung von Testfällen für den Integrationstest.
Softwaretechnik-Trends
Witali Aswolinskiy, Yingfan Lei, Mike Heidrich