Sebastian Otálora

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 26

Top Topics

Convolutional Neural Networks

Tissue Classification

Supervised Learning

Top Venues

Medical Imaging: Digital Pathology

Medical Image Anal.

Publications

Antoine Madrona, Sebastian Otálora, Elda Fischi Gomez, Veronica Ravano, Bénédicte Maréchal, Jean-Philippe Thiran, Tobias Kober, Roland Wiest, Richard McKinley, Jonas Richiardi, Jonathan Rafael-Patino
Federated Learning on Heterogeneous Diffusion-Weighted Imaging Data for Acute Stroke Infarct Segmentation. ISBI (2023)
Sebastian Otálora, Jonathan Rafael-Patino, Antoine Madrona, Elda Fischi Gomez, Veronica Ravano, Tobias Kober, Søren Christensen, Arsany Hakim, Roland Wiest, Jonas Richiardi, Richard McKinley
Weighting Schemes for Federated Learning in Heterogeneous and Imbalanced Segmentation Datasets. BrainLes@MICCAI (2022)
Niccolò Marini, Stefano Marchesin, Sebastian Otálora, Marek Wodzinski, Alessandro Caputo, Mart van Rijthoven, Witali Aswolinskiy, John-Melle Bokhorst, Damian Podareanu, Edyta Petters, Svetla Boytcheva, Genziana Buttafuoco, Simona Vatrano, Filippo Fraggetta, Jeroen van der Laak, Maristella Agosti, Francesco Ciompi, Gianmaria Silvello, Henning Müller, Manfredo Atzori
Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations. npj Digit. Medicine 5 (2022)
Niccolò Marini, Manfredo Atzori, Sebastian Otálora, Stéphane Marchand-Maillet, Henning Müller
H&E-adversarial network: a convolutional neural network to learn stain-invariant features through Hematoxylin & Eosin regression. CoRR (2022)
Sebastian Otálora, Niccolò Marini, Henning Müller, Manfredo Atzori
Combining weakly and strongly supervised learning improves strong supervision in Gleason pattern classification. BMC Medical Imaging 21 (1) (2021)
Niccolò Marini, Manfredo Atzori, Sebastian Otálora, Stéphane Marchand-Maillet, Henning Müller
H&E-adversarial network: a convolutional neural network to learn stain-invariant features through Hematoxylin & Eosin regression. ICCVW (2021)
Niccolò Marini, Sebastian Otálora, Francesco Ciompi, Gianmaria Silvello, Stefano Marchesin, Simona Vatrano, Genziana Buttafuoco, Manfredo Atzori, Henning Müller
Multi-Scale Task Multiple Instance Learning for the Classification of Digital Pathology Images with Global Annotations. COMPAY@MICCAI (2021)
Niccolò Marini, Sebastian Otálora, Henning Müller, Manfredo Atzori
Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification. Medical Image Anal. 73 (2021)
Niccolò Marini, Sebastian Otálora, Damian Podareanu, Mart van Rijthoven, Jeroen van der Laak, Francesco Ciompi, Henning Müller, Manfredo Atzori
Multi_Scale_Tools: A Python Library to Exploit Multi-Scale Whole Slide Images. Frontiers Comput. Sci. 3 (2021)
Sebastian Otálora, Niccolò Marini, Henning Müller, Manfredo Atzori
Semi-weakly Supervised Learning for Prostate Cancer Image Classification with Teacher-Student Deep Convolutional Networks. iMIMIC/MIL3ID/LABELS@MICCAI (2020)
Anjani Dhrangadhariya, Sebastian Otálora, Manfredo Atzori, Henning Müller
Classification of Noisy Free-Text Prostate Cancer Pathology Reports Using Natural Language Processing. ICPR Workshops (1) (2020)
Sebastian Otálora, Manfredo Atzori, Amjad Khan, Oscar Alfonso Jiménez del Toro, Vincent Andrearczyk, Henning Müller
Systematic comparison of deep learning strategies for weakly supervised Gleason grading. Medical Imaging: Digital Pathology (2020)
Mara Graziani, Sebastian Otálora, Henning Müller, Vincent Andrearczyk
Guiding CNNs towards Relevant Concepts by Multi-task and Adversarial Learning. CoRR (2020)
Amjad Khan, Manfredo Atzori, Sebastian Otálora, Vincent Andrearczyk, Henning Müller
Generalizing convolution neural networks on stain color heterogeneous data for computational pathology. Medical Imaging: Digital Pathology (2020)
Niccolò Marini, Sebastian Otálora, Henning Müller, Manfredo Atzori
Semi-supervised Learning with a Teacher-Student Paradigm for Histopathology Classification: A Resource to Face Data Heterogeneity and Lack of Local Annotations. ICPR Workshops (1) (2020)
Juan S. Lara, Victor H. Contreras O., Sebastian Otálora, Henning Müller, Fabio A. González
Multimodal Latent Semantic Alignment for Automated Prostate Tissue Classification and Retrieval. MICCAI (5) (2020)
Gaetano Manzo, Sebastian Otálora, Marco Ajmone Marsan, Torsten Braun, Hung Nguyen, Gianluca Rizzo
DeepFloat: Resource-Efficient Dynamic Management of Vehicular Floating Content. CoRR (2019)
Gaetano Manzo, Sebastian Otálora, Torsten Braun, Marco Ajmone Marsan, Gianluca Rizzo, Hung Nguyen
DeepFloat: Resource-Efficient Dynamic Management of Vehicular Floating Content. ITC (2019)
Cristian Bravo, Sebastian Otálora, Sonia Ordoñez-Salinas
Automatic Creation of a Pharmaceutical Corpus Based on Open-Data. CICLing (1) (2019)
Ranveer Joyseeree, Sebastian Otálora, Henning Müller, Adrien Depeursinge
Fusing learned representations from Riesz Filters and Deep CNN for lung tissue classification. Medical Image Anal. 56 (2019)
Sebastian Otálora, Manfredo Atzori, Vincent Andrearczyk, Henning Müller
Image Magnification Regression Using DenseNet for Exploiting Histopathology Open Access Content. COMPAY/OMIA@MICCAI (2018)
Oscar J. Perdomo, Sebastian Otálora, Fabio A. González, Fabrice Mériaudeau, Henning Müller
OCT-NET: A convolutional network for automatic classification of normal and diabetic macular edema using sd-oct volumes. ISBI (2018)
Sebastian Otálora, Oscar J. Perdomo, Manfredo Atzori, Mats Andersson, Ludwig Jacobsson, Martin Hedlund, Henning Müller
Determining the scale of image patches using a deep learning approach. ISBI (2018)
Oscar Alfonso Jiménez del Toro, Manfredo Atzori, Sebastian Otálora, Mats Andersson, Kristian Eurén, Martin Hedlund, Peter Rönnquist, Henning Müller
Convolutional neural networks for an automatic classification of prostate tissue slides with high-grade Gleason score. Medical Imaging: Digital Pathology (2017)
Sebastian Otálora, Oscar J. Perdomo, Fabio A. González, Henning Müller
Training Deep Convolutional Neural Networks with Active Learning for Exudate Classification in Eye Fundus Images. CVII-STENT/LABELS@MICCAI (2017)
Oscar Alfonso Jiménez del Toro, Sebastian Otálora, Manfredo Atzori, Henning Müller
Deep Multimodal Case-Based Retrieval for Large Histopathology Datasets. Patch-MI@MICCAI (2017)
Sebastian Otálora, Angel Cruz-Roa, John Edison Arevalo Ovalle, Manfredo Atzori, Anant Madabhushi, Alexander R. Judkins, Fabio A. González, Henning Müller, Adrien Depeursinge
Combining Unsupervised Feature Learning and Riesz Wavelets for Histopathology Image Representation: Application to Identifying Anaplastic Medulloblastoma. MICCAI (1) (2015)