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Hans Pinckaers

Showing results (1-10 of 13) with videos related to

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IEEE Transactions on Pattern Analysis and Machine Intelligence|August 27, 2020
Streaming Convolutional Neural Networks for End-to-End Learning With Multi-Megapixel ImagesHans Pinckaers, Bram van Ginneken, Geert Litjens
IEEE Transactions on Medical Imaging|March 17, 2021
Detection of Prostate Cancer in Whole-Slide Images Through End-to-End Training With Image-Level LabelsHans Pinckaers, Wouter Bulten, Jeroen van der Laak, et al.
Pathology|November 13, 2021
Using deep learning for quantification of cellularity and cell lineages in bone marrow biopsies and comparison to normal age-related variationLeander van Eekelen, Hans Pinckaers, Michiel van den Brand, et al.
Medical Image Analysis|July 12, 2023
Gigapixel end-to-end training using streaming and attentionStephan Dooper, Hans Pinckaers, Witali Aswolinskiy, et al.
Communications Medicine|June 13, 2022
Predicting biochemical recurrence of prostate cancer with artificial intelligenceHans Pinckaers, Jolique van Ipenburg, Jonathan Melamed, et al.
Laboratory Investigation; a Journal of Technical Methods and Pathology|June 22, 2019
Deep learning assisted mitotic counting for breast cancerMaschenka C A Balkenhol, David Tellez, Willem Vreuls, et al.
The Lancet. Oncology|January 14, 2020
Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic studyWouter Bulten, Hans Pinckaers, Hester van Boven, et al.
Medical Image Analysis|September 3, 2019
Learning to detect lymphocytes in immunohistochemistry with deep learningZaneta Swiderska-Chadaj, Hans Pinckaers, Mart van Rijthoven, et al.
European Urology Focus|August 16, 2021
Artificial Intelligence for Diagnosis and Gleason Grading of Prostate Cancer in Biopsies-Current Status and Next StepsKimmo Kartasalo, Wouter Bulten, Brett Delahunt, et al.
JCO Clinical Cancer Informatics|November 21, 2025
Multimodal Artificial Intelligence Model From Baseline Histopathology Adds Prognostic Information for Distant Recurrence Assessment in Hormone Receptor-Positive/Human Epidermal Growth Factor Receptor 2-Negative Early Breast CancerDaniel Kates-Harbeck, Hans Kreipe, Oleg Gluz, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Pattern Analysis and Machine Intelligence|August 27, 2020
Streaming Convolutional Neural Networks for End-to-End Learning With Multi-Megapixel ImagesHans Pinckaers, Bram van Ginneken, Geert Litjens
IEEE Transactions on Medical Imaging|March 17, 2021
Detection of Prostate Cancer in Whole-Slide Images Through End-to-End Training With Image-Level LabelsHans Pinckaers, Wouter Bulten, Jeroen van der Laak, et al.
Pathology|November 13, 2021
Using deep learning for quantification of cellularity and cell lineages in bone marrow biopsies and comparison to normal age-related variationLeander van Eekelen, Hans Pinckaers, Michiel van den Brand, et al.
Medical Image Analysis|July 12, 2023
Gigapixel end-to-end training using streaming and attentionStephan Dooper, Hans Pinckaers, Witali Aswolinskiy, et al.
Communications Medicine|June 13, 2022
Predicting biochemical recurrence of prostate cancer with artificial intelligenceHans Pinckaers, Jolique van Ipenburg, Jonathan Melamed, et al.
Laboratory Investigation; a Journal of Technical Methods and Pathology|June 22, 2019
Deep learning assisted mitotic counting for breast cancerMaschenka C A Balkenhol, David Tellez, Willem Vreuls, et al.
The Lancet. Oncology|January 14, 2020
Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic studyWouter Bulten, Hans Pinckaers, Hester van Boven, et al.
Medical Image Analysis|September 3, 2019
Learning to detect lymphocytes in immunohistochemistry with deep learningZaneta Swiderska-Chadaj, Hans Pinckaers, Mart van Rijthoven, et al.
European Urology Focus|August 16, 2021
Artificial Intelligence for Diagnosis and Gleason Grading of Prostate Cancer in Biopsies-Current Status and Next StepsKimmo Kartasalo, Wouter Bulten, Brett Delahunt, et al.
JCO Clinical Cancer Informatics|November 21, 2025
Multimodal Artificial Intelligence Model From Baseline Histopathology Adds Prognostic Information for Distant Recurrence Assessment in Hormone Receptor-Positive/Human Epidermal Growth Factor Receptor 2-Negative Early Breast CancerDaniel Kates-Harbeck, Hans Kreipe, Oleg Gluz, et al.
Pageof 2