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Witali Aswolinskiy
Witali Aswolinskiy
Deep learning & Computational Pathology, Radboud University Medical Center
Verified email at radboudumc.nl
Title
Cited by
Cited by
Year
Time series classification in reservoir-and model-space: a comparison
W Aswolinskiy, RF Reinhart, J Steil
Artificial Neural Networks in Pattern Recognition: 7th IAPR TC3 Workshop …, 2016
212016
Time series classification in reservoir-and model-space
W Aswolinskiy, RF Reinhart, J Steil
Neural Processing Letters 48 (2), 789-809, 2018
202018
RM-SORN: a reward-modulated self-organizing recurrent neural network
W Aswolinskiy, G Pipa
Frontiers in computational neuroscience 9, 36, 2015
202015
Impact of Regularization on the Model Space for Time Series Classification
W Aswolinskiy, RF Reinhart, J Steil
Workshop New Challenges in Neural Computation, 2015
162015
Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations
N Marini, S Marchesin, S Otálora, M Wodzinski, A Caputo, ...
NPJ digital medicine 5 (1), 102, 2022
92022
Unsupervised transfer learning for time series via self-predictive modelling-first results
W Aswolinskiy, B Hammer
Proceedings of the Workshop on New Challenges in Neural Computation (NC2) 3, 2017
92017
Modelling of parameterized processes via regression in the model space
W Aswolinskiy, F Reinhart, JJ Steil
Proceedings of 24th European Symposium on Artificial Neural Networks, 2016
92016
Modelling of parametrized processes via regression in the model space of neural networks
W Aswolinskiy, RF Reinhart, JJ Steil
Neurocomputing 268, 55-63, 2017
72017
Neural image compression for non-small cell lung cancer subtype classification in H&E stained whole-slide images
W Aswolinskiy, D Tellez, G Raya, L van der Woude, M Looijen-Salamon, ...
Medical Imaging 2021: Digital Pathology 11603, 1160304, 2021
62021
Maschinelles Lernen in technischen Systemen
F Reinhart, K Neumann, W Aswolinskiy, J Steil, B Hammer
Steigerung der Intelligenz mechatronischer Systeme, 73-118, 2018
42018
Learning in the model space of neural networks
W Aswolinskiy
22018
Parameterized pattern generation via regression in the model space of echo state networks
W Aswolinskiy, JJ Steil
Proceedings of the Workshop on New Challenges in Neural Computation, 2016
12016
Predicting pathological complete response to neoadjuvant chemotherapy in breast cancer from routine diagnostic histopathology biopsies
W Aswolinskiy, E Munari, HM Horlings, L Mulder, G Bogina, J Sanders, ...
medRxiv, 2022.11. 11.22282205, 2022
2022
Basal cell carcinoma detection using weakly supervised deep learning methods and rule-based labels
D Geijs, S Dooper, W Aswolinskiy, L van Eekelen, A Amir, G Litjens
2022
Potential of an AI-based digital biomarker to predict neoadjuvant chemotherapy response from preoperative biopsies of Luminal-B breast cancer
W Aswolinskiy, H Horlings, L Mulder, J Van der Laak, J Wesseling, E Lips, ...
VIRCHOWS ARCHIV 479, S179-S179, 2021
2021
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