Sebastian Otálora

29 papers A 1Journal 9Unranked 19

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Training State-of-the-Art Pathology Foundation Models with Orders of Magnitude Less Data. MICCAI (8) Mikhail Karasikov, Joost van Doorn, Nicolas Känzig, Melis Erdal Cesur, Hugo Mark Horlings, Robert Berke, Fei Tang, Sebastian Otálora
2025	J	`jnl`	Training state-of-the-art pathology foundation models with orders of magnitude less data. CoRR Mikhail Karasikov, Joost van Doorn, Nicolas Känzig, Melis Erdal Cesur, Hugo Mark Horlings, Robert B. West, Fei Tang, Sebastian Otálora
2023	—	`conf`	Federated Learning on Heterogeneous Diffusion-Weighted Imaging Data for Acute Stroke Infarct Segmentation. ISBI 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
2022	J	`jnl`	H&E-adversarial network: a convolutional neural network to learn stain-invariant features through Hematoxylin & Eosin regression. CoRR Niccolò Marini, Manfredo Atzori, Sebastian Otálora, Stéphane Marchand-Maillet, Henning Müller
2022	J	`jnl`	Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations. npj Digit. Medicine 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
2022	—	`conf`	Weighting Schemes for Federated Learning in Heterogeneous and Imbalanced Segmentation Datasets. BrainLes@MICCAI Sebastian Otálora, Jonathan Rafael-Patino, Antoine Madrona, Elda Fischi Gomez, Veronica Ravano, Tobias Kober, Søren Christensen, Arsany Hakim, Roland Wiest, Jonas Richiardi, Richard McKinley
2021	J	`jnl`	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	—	`conf`	H&E-adversarial network: a convolutional neural network to learn stain-invariant features through Hematoxylin & Eosin regression. ICCVW Niccolò Marini, Manfredo Atzori, Sebastian Otálora, Stéphane Marchand-Maillet, Henning Müller
2021	—	`conf`	Multi-Scale Task Multiple Instance Learning for the Classification of Digital Pathology Images with Global Annotations. COMPAY@MICCAI Niccolò Marini, Sebastian Otálora, Francesco Ciompi, Gianmaria Silvello, Stefano Marchesin, Simona Vatrano, Genziana Buttafuoco, Manfredo Atzori, Henning Müller
2021	J	`jnl`	Multi_Scale_Tools: A Python Library to Exploit Multi-Scale Whole Slide Images. Frontiers Comput. Sci. Niccolò Marini, Sebastian Otálora, Damian Podareanu, Mart van Rijthoven, Jeroen van der Laak, Francesco Ciompi, Henning Müller, Manfredo Atzori
2021	J	`jnl`	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. Niccolò Marini, Sebastian Otálora, Henning Müller, Manfredo Atzori
2020	—	`conf`	Classification of Noisy Free-Text Prostate Cancer Pathology Reports Using Natural Language Processing. ICPR Workshops (1) Anjani Dhrangadhariya, Sebastian Otálora, Manfredo Atzori, Henning Müller
2020	—	`conf`	Generalizing convolution neural networks on stain color heterogeneous data for computational pathology. Digital Pathology Amjad Khan, Manfredo Atzori, Sebastian Otálora, Vincent Andrearczyk, Henning Müller
2020	J	`jnl`	Guiding CNNs towards Relevant Concepts by Multi-task and Adversarial Learning. CoRR Mara Graziani, Sebastian Otálora, Henning Müller, Vincent Andrearczyk
2020	—	`conf`	Multimodal Latent Semantic Alignment for Automated Prostate Tissue Classification and Retrieval. MICCAI (5) Juan S. Lara, Victor H. Contreras O., Sebastian Otálora, Henning Müller, Fabio A. González
2020	—	`conf`	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) Niccolò Marini, Sebastian Otálora, Henning Müller, Manfredo Atzori
2020	—	`conf`	Semi-weakly Supervised Learning for Prostate Cancer Image Classification with Teacher-Student Deep Convolutional Networks. iMIMIC/MIL3ID/LABELS@MICCAI Sebastian Otálora, Niccolò Marini, Henning Müller, Manfredo Atzori
2020	—	`conf`	Systematic comparison of deep learning strategies for weakly supervised Gleason grading. Digital Pathology Sebastian Otálora, Manfredo Atzori, Amjad Khan, Oscar Alfonso Jiménez del Toro, Vincent Andrearczyk, Henning Müller
2019	—	`conf`	Automatic Creation of a Pharmaceutical Corpus Based on Open-Data. CICLing (1) Cristian Bravo, Sebastian Otálora, Sonia Ordoñez-Salinas
2019	A	`conf`	DeepFloat: Resource-Efficient Dynamic Management of Vehicular Floating Content. ITC Gaetano Manzo, Sebastian Otálora, Torsten Braun, Marco Ajmone Marsan, Gianluca Rizzo, Hung Nguyen
2019	J	`jnl`	DeepFloat: Resource-Efficient Dynamic Management of Vehicular Floating Content. CoRR Gaetano Manzo, Sebastian Otálora, Marco Ajmone Marsan, Torsten Braun, Hung Nguyen, Gianluca Rizzo
2019	J	`jnl`	Fusing learned representations from Riesz Filters and Deep CNN for lung tissue classification. Medical Image Anal. Ranveer Joyseeree, Sebastian Otálora, Henning Müller, Adrien Depeursinge
2018	—	`conf`	Determining the scale of image patches using a deep learning approach. ISBI Sebastian Otálora, Oscar J. Perdomo, Manfredo Atzori, Mats Andersson, Ludwig Jacobsson, Martin Hedlund, Henning Müller
2018	—	`conf`	Image Magnification Regression Using DenseNet for Exploiting Histopathology Open Access Content. COMPAY/OMIA@MICCAI Sebastian Otálora, Manfredo Atzori, Vincent Andrearczyk, Henning Müller
2018	—	`conf`	OCT-NET: A convolutional network for automatic classification of normal and diabetic macular edema using sd-oct volumes. ISBI Oscar J. Perdomo, Sebastian Otálora, Fabio A. González, Fabrice Mériaudeau, Henning Müller
2017	—	`conf`	Convolutional neural networks for an automatic classification of prostate tissue slides with high-grade Gleason score. Digital Pathology Oscar Alfonso Jiménez del Toro, Manfredo Atzori, Sebastian Otálora, Mats Andersson, Kristian Eurén, Martin Hedlund, Peter Rönnquist, Henning Müller
2017	—	`conf`	Deep Multimodal Case-Based Retrieval for Large Histopathology Datasets. Patch-MI@MICCAI Oscar Alfonso Jiménez del Toro, Sebastian Otálora, Manfredo Atzori, Henning Müller
2017	—	`conf`	Training Deep Convolutional Neural Networks with Active Learning for Exudate Classification in Eye Fundus Images. CVII-STENT/LABELS@MICCAI Sebastian Otálora, Oscar J. Perdomo, Fabio A. González, Henning Müller
2015	—	`conf`	Combining Unsupervised Feature Learning and Riesz Wavelets for Histopathology Image Representation: Application to Identifying Anaplastic Medulloblastoma. MICCAI (1) Sebastian Otálora, Angel Cruz-Roa, John Edison Arevalo Ovalle, Manfredo Atzori, Anant Madabhushi, Alexander R. Judkins, Fabio A. González, Henning Müller, Adrien Depeursinge