Sebastian Otálora
Université de Genève
H-index: 17
Europe-Switzerland
Top articles of Sebastian Otálora
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
eva: Evaluation framework for pathology foundation models | Ioannis Gatopoulos Nicolas Känzig Roman Moser Sebastian Otálora | 2024 | |
Data-driven color augmentation for H&E stained images in computational pathology | Journal of Pathology Informatics | Niccolò Marini Sebastian Otalora Marek Wodzinski Selene Tomassini Aldo Franco Dragoni | 2023/1/1 |
Federated Learning on Heterogeneous Diffusion-Weighted Imaging Data for Acute Stroke Infarct Segmentation | Antoine Madrona Sebastian Otálora Elda Fischi-Gomez Veronica Ravano Bénédicte Maréchal | 2023/4/18 | |
Weighting schemes for federated learning in heterogeneous and imbalanced segmentation datasets | Sebastian Otálora Jonathan Rafael-Patiño Antoine Madrona Elda Fischi-Gomez Veronica Ravano | 2022/9/18 | |
Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations | NPJ digital medicine | Niccolò Marini Stefano Marchesin Sebastian Otálora Marek Wodzinski Alessandro Caputo | 2022/7/22 |
Multi-task deep learning for glaucoma detection from color fundus images | Scientific Reports | Lucas Pascal Oscar J Perdomo Xavier Bost Benoit Huet Sebastian Otálora | 2022/7/20 |
Stainlib: a python library for augmentation and normalization of histopathology H&E images | BioRxiv | Sebastian Otálora Niccoló Marini Damian Podareanu Ruben Hekster David Tellez | 2022/5/18 |
H&E-adversarial network: a convolutional neural network to learn stain-invariant features through Hematoxylin & Eosin regression | Niccolo Marini Manfredo Atzori Sebastian Otálora Stephane Marchand-Maillet Henning Müller | 2021 | |
Multi-scale task multiple instance learning for the classification of digital pathology images with global annotations | Niccolo Marini Sebastian Otálora Francesco Ciompi Gianmaria Silvello Stefano Marchesin | 2021/9/16 | |
Semi-supervised learning with a teacher-student paradigm for histopathology classification: a resource to face data heterogeneity and lack of local annotations | Niccolò Marini Sebastian Otálora Henning Müller Manfredo Atzori | 2021 | |
Learning interpretable pathology features by multi-task and adversarial training improves CNN generalization | arXiv preprint arXiv:2008.01478 | Mara Graziani Sebastian Otálora Stéphane Marchand-Maillet Henning Müller Vincent Andrearczyk | 2021/9/9 |
Multi_Scale_Tools: a python library to exploit multi-scale whole slide images | Frontiers in Computer Science | Niccolò Marini Sebastian Otálora Damian Podareanu Mart van Rijthoven Jeroen van der Laak | 2021/8/9 |
Combining weakly and strongly supervised learning improves strong supervision in Gleason pattern classification | BMC Medical Imaging | Sebastian Otálora Niccolò Marini Henning Müller Manfredo Atzori | 2021/5/8 |
Classification of noisy free-text prostate cancer pathology reports using natural language processing | Anjani Dhrangadhariya Sebastian Otálora Manfredo Atzori Henning Müller | 2021/1/10 | |
Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification | Medical image analysis | Niccolo Marini Sebastian Otálora Henning Müller Manfredo Atzori | 2021/10/1 |
Generalizing convolution neural networks on stain color heterogeneous data for computational pathology | Amjad Khan Manfredo Atzori Sebastian Otálora Vincent Andrearczyk Henning Müller | 2020/3/16 | |
Systematic comparison of deep learning strategies for weakly supervised Gleason grading | Sebastian Otálora Manfredo Atzori Amjad Khan Oscar Jimenez-del-Toro Vincent Andrearczyk | 2020/3/16 | |
Semi-weakly supervised learning for prostate cancer image classification with teacher-student deep convolutional networks | Sebastian Otálora Niccolò Marini Henning Müller Manfredo Atzori | 2020 | |
Multimodal latent semantic alignment for automated prostate tissue classification and retrieval | Juan S Lara Victor H Contreras O Sebastián Otálora Henning Müller Fabio A González | 2020/9/29 | |
Learning Interpretable Microscopic Features of Tumor by Multi-task Adversarial CNNs to Improve Generalization | arXiv preprint arXiv:2008.01478 | Mara Graziani Sebastian Otálora Stéphane Marchand-Maillet Henning Muller Vincent Andrearczyk | 2020/8/4 |
Co-Authors
