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Sebastian Otálora

Showing results (1-10 of 7) with videos related to

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BMC Medical Imaging|May 9, 2021
Combining weakly and strongly supervised learning improves strong supervision in Gleason pattern classificationSebastian Otálora, Niccolò Marini, Henning Müller, et al.
Medical Image Analysis|July 24, 2021
Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classificationNiccolò Marini, Sebastian Otálora, Henning Müller, et al.
Medical Image Analysis|June 24, 2019
Fusing learned representations from Riesz Filters and Deep CNN for lung tissue classificationRanveer Joyseeree, Sebastian Otálora, Henning Müller, et al.
Frontiers in Bioengineering and Biotechnology|September 12, 2019
Staining Invariant Features for Improving Generalization of Deep Convolutional Neural Networks in Computational PathologySebastian Otálora, Manfredo Atzori, Vincent Andrearczyk, et al.
Journal of Pathology Informatics|August 2, 2019
Deep Learning-Based Retrieval System for Gigapixel Histopathology Cases and the Open Access LiteratureRoger Schaer, Sebastian Otálora, Oscar Jimenez-Del-Toro, et al.
Scientific Reports|July 20, 2022
Multi-task deep learning for glaucoma detection from color fundus imagesLucas Pascal, Oscar J Perdomo, Xavier Bost, et al.
NPJ Digital Medicine|July 22, 2022
Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotationsNiccolò Marini, Stefano Marchesin, Sebastian Otálora, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
BMC Medical Imaging|May 9, 2021
Combining weakly and strongly supervised learning improves strong supervision in Gleason pattern classificationSebastian Otálora, Niccolò Marini, Henning Müller, et al.
Medical Image Analysis|July 24, 2021
Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classificationNiccolò Marini, Sebastian Otálora, Henning Müller, et al.
Medical Image Analysis|June 24, 2019
Fusing learned representations from Riesz Filters and Deep CNN for lung tissue classificationRanveer Joyseeree, Sebastian Otálora, Henning Müller, et al.
Frontiers in Bioengineering and Biotechnology|September 12, 2019
Staining Invariant Features for Improving Generalization of Deep Convolutional Neural Networks in Computational PathologySebastian Otálora, Manfredo Atzori, Vincent Andrearczyk, et al.
Journal of Pathology Informatics|August 2, 2019
Deep Learning-Based Retrieval System for Gigapixel Histopathology Cases and the Open Access LiteratureRoger Schaer, Sebastian Otálora, Oscar Jimenez-Del-Toro, et al.
Scientific Reports|July 20, 2022
Multi-task deep learning for glaucoma detection from color fundus imagesLucas Pascal, Oscar J Perdomo, Xavier Bost, et al.
NPJ Digital Medicine|July 22, 2022
Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotationsNiccolò Marini, Stefano Marchesin, Sebastian Otálora, et al.
Pageof 1