Oscar Jimenez-del-Toro
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Cloud-based evaluation of anatomical structure segmentation and landmark detection algorithms: VISCERAL anatomy benchmarks
O Jimenez-del-Toro, H Müller, M Krenn, K Gruenberg, AA Taha, ...
IEEE transactions on medical imaging 35 (11), 2459-2475, 2016
Convolutional neural networks for an automatic classification of prostate tissue slides with high-grade Gleason score
O Jimenez-del-Toro, M Atzori, S Otálora, M Andersson, K Eurén, ...
SPIE Medical Imaging, 101400O-101400O, 2017
Analysis of histopathology images: From traditional machine learning to deep learning
O Jimenez-del-Toro, S Otálora, M Andersson, K Eurén, M Hedlund, ...
Biomedical texture analysis, 281-314, 2017
Efficient and fully automatic segmentation of the lungs in CT volumes
YD Cid, A Depeursinge, OA Jiménez-del-Toro, H Müller
VISCERAL@ ISBI 2015 VISCERAL Anatomy3 Organ Segmentation Challenge, 31, 2015
Deep learning-based retrieval system for gigapixel histopathology cases and the open access literature
R Schaer, S Otálora, O Jimenez-del-Toro, M Atzori, H Müller
Journal of pathology informatics 10 (1), 19, 2019
A formal method for selecting evaluation metrics for image segmentation
AA Taha, A Hanbury, OA Jiménez-del-Toro
Image Processing (ICIP), 2014 IEEE International Conference on, 932-936, 2014
VISCERAL–VISual Concept Extraction challenge in RAdioLogy: ISBI 2014 challenge organization
OA Jiménez-del-Toro, O Goksel, B Menze, H Müller, G Langs, MA Weber, ...
Proceedings of the VISCERAL Challenge at ISBI, 6-15, 2014
Overview of the VISCERAL Retrieval benchmark 2015
OA Jiménez-del-Toro, A Hanbury, G Langs, A Foncubierta–Rodríguez, ...
Multimodal Retrieval in the Medical Domain, 115-123, 2015
Annotating medical image data
K Grünberg, O Jimenez-del-Toro, A Jakab, G Langs, T Salas Fernandez, ...
Cloud-Based Benchmarking of Medical Image Analysis, 45-67, 2017
Creating a large-scale silver corpus from multiple algorithmic segmentations
M Krenn, M Dorfer, OA Jiménez-del-Toro, H Müller, B Menze, MA Weber, ...
Medical Computer vision workshop, 2015
Deep multimodal case–based retrieval for large histopathology datasets
O Jimenez-del-Toro, S Otálora, M Atzori, H Müller
Patch-Based Techniques in Medical Imaging: Third International Workshop …, 2017
Systematic comparison of deep learning strategies for weakly supervised Gleason grading
S Otálora, M Atzori, A Khan, O Jimenez-del-Toro, V Andrearczyk, H Müller
Medical Imaging 2020: Digital Pathology 11320, 142-149, 2020
Overview of the VISCERAL Challenge at ISBI 2015
O Goksel, A Foncubierta-Rodrıguez, OA Jiménez-del-Toro, H Müller, ...
Proceedings of the VISCERAL Challenge at ISBI), New York, NY, 2015
The discriminative power and stability of radiomics features with computed tomography variations: task-based analysis in an anthropomorphic 3D-printed CT phantom
O Jimenez-del-Toro, C Aberle, M Bach, R Schaer, MM Obmann, K Flouris, ...
Investigative radiology 56 (12), 820-825, 2021
Live ECG readings using Google Glass in emergency situations
R Schaer, F Salamin, OA Jiménez-del-Toro, M Atzori, H Muller, A Widmer
Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual …, 2015
Epileptogenic lesion quantification in MRI using contralateral 3D texture comparisons
OA Jiménez-del-Toro, A Foncubierta–Rodríguez, MIV Gómez, H Müller, ...
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013, 353-360, 2013
Processing diabetes mellitus composite events in MAGPIE
A Brugués, S Bromuri, M Barry, ÓJ Del Toro, MR Mazurkiewicz, P Kardas, ...
Journal of medical systems 40, 1-15, 2016
Hierarchic multi–atlas based segmentation for anatomical structures: Evaluation in the visceral anatomy benchmarks
OA Jiménez-del-Toro, H Müller
Medical Computer Vision: Algorithms for Big Data, 189-200, 2014
Benefits of texture analysis of dual energy CT for Computer-Aided pulmonary embolism detection
A Foncubierta-Rodriguez, OA Jiménez-del-Toro, A Platon, PA Poletti, ...
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual …, 2013
Biomedical Texture Analysis
O Jimenez-del-Toro, S Otálora, M Andersson, K Eurén, M Hedlund, ...
Elsevier, 2017
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