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ORCIDJuan Sebastian Otálora Montenegro
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2020 – today
- 2023
[c22]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: 1-5- 2022
- [j7]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) - [c21]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: 45-56 - [i5]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 abs/2201.06329 (2022) - 2021
- [b1]Juan Sebastian Otálora Montenegro:
Deep Learning for Histopathology Image Analysis From Heterogeneous and Multimodal Data Sources. University of Geneva, Switzerland, 2021 - [j6]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): 77 (2021) - [j5]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: 684521 (2021) - [j4]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: 102165 (2021) - [c20]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: 170-181 - [c19]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: 601-610 - 2020
- [c18]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: 105-119 - [c17]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: 154-166 - [c16]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: 193-203 - [c15]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: 572-581 - [c14]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: 113200R - [c13]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: 113200L - [i4]Mara Graziani, Sebastian Otálora, Henning Müller, Vincent Andrearczyk:
Guiding CNNs towards Relevant Concepts by Multi-task and Adversarial Learning. CoRR abs/2008.01478 (2020)
2010 – 2019
- 2019
- [j3]Oscar J. Perdomo, Hernán Rios, Francisco J. Rodríguez, Juan Sebastian Otálora Montenegro, Fabrice Mériaudeau, Henning Müller, Fabio A. González:
Classification of diabetes-related retinal diseases using a deep learning approach in optical coherence tomography. Comput. Methods Programs Biomed. 178: 181-189 (2019) - [j2]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: 172-183 (2019) - [c12]Cristian Bravo, Sebastian Otálora, Sonia Ordoñez-Salinas:
Automatic Creation of a Pharmaceutical Corpus Based on Open-Data. CICLing (1) 2019: 432-450 - [c11]Gaetano Manzo, Sebastian Otálora, Torsten Braun, Marco Ajmone Marsan, Gianluca Rizzo, Hung Nguyen:
DeepFloat: Resource-Efficient Dynamic Management of Vehicular Floating Content. ITC 2019: 46-54 - [i3]Gaetano Manzo, Sebastian Otálora, Marco Ajmone Marsan, Torsten Braun, Hung Nguyen, Gianluca Rizzo:
DeepFloat: Resource-Efficient Dynamic Management of Vehicular Floating Content. CoRR abs/1906.07098 (2019) - 2018
- [j1]Gaetano Manzo, Juan Sebastian Otálora Montenegro, Marco Ajmone Marsan, Gianluca Rizzo:
A Deep Learning Strategy for Vehicular Floating Content Management. SIGMETRICS Perform. Evaluation Rev. 46(3): 159-162 (2018) - [c10]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: 843-846 - [c9]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: 1423-1426 - [c8]Sebastian Otálora, Manfredo Atzori, Vincent Andrearczyk, Henning Müller:
Image Magnification Regression Using DenseNet for Exploiting Histopathology Open Access Content. COMPAY/OMIA@MICCAI 2018: 148-155 - [i2]Gaetano Manzo, Juan Sebastian Otálora Montenegro, Gianluca Rizzo:
A Deep Learning Mechanism for Efficient Information Dissemination in Vehicular Floating Content. CoRR abs/1810.10425 (2018) - [i1]Gaetano Manzo, Juan Sebastian Otálora, Marco Ajmone Marsan, Gianluca Rizzo:
A Deep Learning Strategy for Vehicular Floating Content Management. CoRR abs/1811.11249 (2018) - 2017
- [c7]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: 146-154 - [c6]Oscar Alfonso Jiménez del Toro, Sebastian Otálora, Manfredo Atzori, Henning Müller:
Deep Multimodal Case-Based Retrieval for Large Histopathology Datasets. Patch-MI@MICCAI 2017: 149-157 - [c5]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: 101400O - 2015
- [c4]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: 581-588 - 2014
- [c3]Jorge A. Vanegas, John Edison Arevalo Ovalle, Juan Sebastian Otálora Montenegro, Fabian Páez, Santiago A. Pérez-Rubiano, Fabio A. González:
MindLab at ImageCLEF 2014: Scalable Concept Image Annotation. CLEF (Working Notes) 2014: 404-410 - 2013
- [c2]Juan Sebastian Otálora Montenegro, Santiago A. Pérez-Rubiano, Fabio A. González:
Online Matrix Factorization for Space Embedding Multilabel Annotation. CIARP (1) 2013: 343-350 - 2012
- [c1]Raúl Ramos-Pollán, Fabio A. González, Juan C. Caicedo, Angel Cruz-Roa, Jorge E. Camargo, Jorge A. Vanegas, Santiago A. Perez, José David Bermeo, Juan Sebastian Otálora Montenegro, Paola K. Rozo, John Edison Arevalo Ovalle:
BIGS: A framework for large-scale image processing and analysis over distributed and heterogeneous computing resources. eScience 2012: 1-8
Coauthor Index
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