Search research articles
Contact Us
Filters
Showing results (1-10 of 11) with videos related to
Page
of 2
Sort By:
Frontiers in Computational Neuroscience
|
April 9, 2015
RM-SORN: a reward-modulated self-organizing recurrent neural network
Witali Aswolinskiy, Gordon Pipa
Nature Communications
|
May 15, 2026
Analysis of computational tumor-infiltrating lymphocytes in breast cancer from the results of the TIGER challenge
Mart van Rijthoven, Witali Aswolinskiy, Leslie Tessier, et al.
Medical Image Analysis
|
July 12, 2023
Gigapixel end-to-end training using streaming and attention
Stephan Dooper, Hans Pinckaers, Witali Aswolinskiy, et al.
Medical Image Analysis
|
January 9, 2024
Detection and subtyping of basal cell carcinoma in whole-slide histopathology using weakly-supervised learning
Daan J Geijs, Stephan Dooper, Witali Aswolinskiy, et al.
Journal of Pathology Informatics
|
May 25, 2026
Fast organ-of-origin classification for digital pathology quality control
Witali Aswolinskiy, John K L Wong, Myroslav Zapukhlyak, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc
|
June 25, 2025
Attention-Based Whole-Slide Image Compression Achieves Pathologist-Level Prescreening of Multiorgan Routine Histopathology Biopsies
Witali Aswolinskiy, Rachel S van der Post, Michela Campora, et al.
Journal of Pathology Informatics
|
March 19, 2026
Diversity over scale: Whole-slide image variety enables H&E foundation model training with fewer patches
Christoph Bosch, John K L Wong, Martin Paulikat, et al.
Breast Cancer Research : BCR
|
November 14, 2023
PROACTING: predicting pathological complete response to neoadjuvant chemotherapy in breast cancer from routine diagnostic histopathology biopsies with deep learning
Witali Aswolinskiy, Enrico Munari, Hugo M Horlings, et al.
BJS Open
|
October 29, 2024
Classifying histopathological growth patterns for resected colorectal liver metastasis with a deep learning analysis
Diederik J Höppener, Witali Aswolinskiy, Zhen Qian, et al.
NPJ Digital Medicine
|
July 22, 2022
Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations
Niccolò Marini, Stefano Marchesin, Sebastian Otálora, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 11) with videos related to
Sort By:
Page
of 2
Frontiers in Computational Neuroscience
|
April 9, 2015
RM-SORN: a reward-modulated self-organizing recurrent neural network
Witali Aswolinskiy, Gordon Pipa
Nature Communications
|
May 15, 2026
Analysis of computational tumor-infiltrating lymphocytes in breast cancer from the results of the TIGER challenge
Mart van Rijthoven, Witali Aswolinskiy, Leslie Tessier, et al.
Medical Image Analysis
|
July 12, 2023
Gigapixel end-to-end training using streaming and attention
Stephan Dooper, Hans Pinckaers, Witali Aswolinskiy, et al.
Medical Image Analysis
|
January 9, 2024
Detection and subtyping of basal cell carcinoma in whole-slide histopathology using weakly-supervised learning
Daan J Geijs, Stephan Dooper, Witali Aswolinskiy, et al.
Journal of Pathology Informatics
|
May 25, 2026
Fast organ-of-origin classification for digital pathology quality control
Witali Aswolinskiy, John K L Wong, Myroslav Zapukhlyak, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc
|
June 25, 2025
Attention-Based Whole-Slide Image Compression Achieves Pathologist-Level Prescreening of Multiorgan Routine Histopathology Biopsies
Witali Aswolinskiy, Rachel S van der Post, Michela Campora, et al.
Journal of Pathology Informatics
|
March 19, 2026
Diversity over scale: Whole-slide image variety enables H&E foundation model training with fewer patches
Christoph Bosch, John K L Wong, Martin Paulikat, et al.
Breast Cancer Research : BCR
|
November 14, 2023
PROACTING: predicting pathological complete response to neoadjuvant chemotherapy in breast cancer from routine diagnostic histopathology biopsies with deep learning
Witali Aswolinskiy, Enrico Munari, Hugo M Horlings, et al.
BJS Open
|
October 29, 2024
Classifying histopathological growth patterns for resected colorectal liver metastasis with a deep learning analysis
Diederik J Höppener, Witali Aswolinskiy, Zhen Qian, et al.
NPJ Digital Medicine
|
July 22, 2022
Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations
Niccolò Marini, Stefano Marchesin, Sebastian Otálora, et al.
Page
of 2