Search Results - "Aswolinskiy, Witali"

PROACTING: predicting pathological complete response to neoadjuvant chemotherapy in breast cancer from routine diagnostic histopathology biopsies with deep learning by Aswolinskiy, Witali, Munari, Enrico, Horlings, Hugo M, Mulder, Lennart, Bogina, Giuseppe, Sanders, Joyce, Liu, Yat-Hee, van den Belt-Dusebout, Alexandra W, Tessier, Leslie, Balkenhol, Maschenka, Stegeman, Michelle, Hoven, Jeffrey, Wesseling, Jelle, van der Laak, Jeroen, Lips, Esther H, Ciompi, Francesco

“…Abstract Background Invasive breast cancer patients are increasingly being treated with neoadjuvant chemotherapy; however, only a fraction of the patients…”
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Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations by Marini, Niccolò, Marchesin, Stefano, Otálora, Sebastian, Wodzinski, Marek, Caputo, Alessandro, van Rijthoven, Mart, Aswolinskiy, Witali, Bokhorst, John-Melle, Podareanu, Damian, Petters, Edyta, Boytcheva, Svetla, Buttafuoco, Genziana, Vatrano, Simona, Fraggetta, Filippo, van der Laak, Jeroen, Agosti, Maristella, Ciompi, Francesco, Silvello, Gianmaria, Muller, Henning, Atzori, Manfredo

“…The digitalization of clinical workflows and the increasing performance of deep learning algorithms are paving the way towards new methods for tackling cancer…”
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Gigapixel end-to-end training using streaming and attention by Dooper, Stephan, Pinckaers, Hans, Aswolinskiy, Witali, Hebeda, Konnie, Jarkman, Sofia, van der Laak, Jeroen, Litjens, Geert

“…Current hardware limitations make it impossible to train convolutional neural networks on gigapixel image inputs directly. Recent developments in weakly…”
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Detection and subtyping of basal cell carcinoma in whole-slide histopathology using weakly-supervised learning by Geijs, Daan J., Dooper, Stephan, Aswolinskiy, Witali, Hillen, Lisa M., Amir, Avital L., Litjens, Geert

“…The frequency of basal cell carcinoma (BCC) cases is putting an increasing strain on dermatopathologists. BCC is the most common type of skin cancer, and its…”
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Time Series Classification in Reservoir- and Model-Space by Aswolinskiy, Witali, Reinhart, René Felix, Steil, Jochen

“…We evaluate two approaches for time series classification based on reservoir computing. In the first, classical approach, time series are represented by…”
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Modelling of parametrized processes via regression in the model space of neural networks by Aswolinskiy, Witali, Reinhart, René Felix, Steil, Jochen Jakob

“…We consider the modelling of parametrized processes, where the goal is to model the process for new parameter value combinations. We compare the classical…”
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Benchmarking Hierarchical Image Pyramid Transformer for the Classification of Colon Biopsies and Polyps Histopathology Images by Contreras, Nohemi S. Leon, Grisi, Clement, Aswolinskiy, Witali, Vatrano, Simona, Fraggetta, Filippo, Nagtegaal, Iris, D'Amato, Marina, Ciompi, Francesco

“…Training neural networks with high-quality pixel-level annotation in histopathology whole-slide images (WSI) is an expensive process due to gigapixel…”
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RM-SORN: a reward-modulated self-organizing recurrent neural network by Aswolinskiy, Witali, Pipa, Gordon

“…Neural plasticity plays an important role in learning and memory. Reward-modulation of plasticity offers an explanation for the ability of the brain to adapt…”
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Classifying histopathological growth patterns for resected colorectal liver metastasis with a deep learning analysis by Höppener, Diederik J, Aswolinskiy, Witali, Qian, Zhen, Tellez, David, Nierop, Pieter M H, Starmans, Martijn, Nagtegaal, Iris D, Doukas, Michail, de Wilt, Johannes H W, Grünhagen, Dirk J, van der Laak, Jeroen A W M, Vermeulen, Peter, Ciompi, Francesco, Verhoef, Cornelis

“…Histopathological growth patterns are one of the strongest prognostic factors in patients with resected colorectal liver metastases. Development of an…”
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Benchmarking Hierarchical Image Pyramid Transformer for the classification of colon biopsies and polyps in histopathology images by Contreras, Nohemi Sofia Leon, D'Amato, Marina, Ciompi, Francesco, Grisi, Clement, Aswolinskiy, Witali, Vatrano, Simona, Fraggetta, Filippo, Nagtegaal, Iris

“…Training neural networks with high-quality pixel-level annotation in histopathology whole-slide images (WSI) is an expensive process due to gigapixel…”
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