Julio Silva-Rodríguez
Julio Silva-Rodríguez
Postdoctoral Fellow, ETS Montreal
Zweryfikowany adres z etsmtl.ca - Strona główna
Cytowane przez
Cytowane przez
Going deeper through the Gleason scoring scale: An automatic end-to-end system for histology prostate grading and cribriform pattern detection
J Silva-Rodríguez, A Colomer, MA Sales, R Molina, V Naranjo
Computer Methods and Programs in Biomedicine (CMPB), 2020
WeGleNet: A weakly-supervised convolutional neural network for the semantic segmentation of Gleason grades in prostate histology images
J Silva-Rodríguez, A Colomer, V Naranjo
Computerized Medical Imaging and Graphics (CMIG), 2021
Self-Learning for Weakly Supervised Gleason Grading of Local Patterns
J Silva-Rodríguez, A Colomer, J Dolz, V Naranjo
IEEE Journal of Biomedical and Health Informatics (JBHI), 2021
Constrained unsupervised anomaly segmentation
J Silva-Rodríguez, V Naranjo, J Dolz
Medical Image Analysis (MedIA), 2022
Gleason Grading of Histology Prostate Images Through Semantic Segmentation via Residual U-Net
A Kalapahar, J Silva-Rodríguez, A Colomer, F López-Mir, V Naranjo
IEEE International Conference on Image Processing (ICIP), 2020
Efficient Cancer Classification by Coupling Semi Supervised and Multiple Instance Learning
A Schmidt, J Silva-Rodríguez, R Molina, V Naranjo
IEEE Access, 2022
Prostate Gland Segmentation in Histology Images via Residual and Multi-Resolution U-Net
J Silva-Rodríguez, E Payá-Bosch, G García, A Colomer, V Naranjo
IDEAL (Best Paper Award), 2020
Predicting the Success of Blastocyst Implantation from Morphokinetic Parameters Estimated through CNNs and Sum of Absolute Differences
J Silva-Rodríguez, A Colomer, M Meseguer, V Naranjo
European Signal Processing Conference (EUSIPCO), 2019
A Foundation LAnguage-Image model of the Retina (FLAIR): Encoding expert knowledge in text supervision
J Silva-Rodríguez, H Chakor, R Kobbi, J Dolz, IB Ayed
ArXiv Preprint, 2023
Proportion constrained weakly supervised histopathology image classification
J Silva-Rodríguez, A Schmidt, MA Sales, R Molina, V Naranjo
Computers in Biology and Medicine (CIBM), 2022
Looking at the whole picture: constrained unsupervised anomaly segmentation
J Silva-Rodríguez, V Naranjo, J Dolz
British Machine Vision Conference (BMVC), 2021
A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models
J Silva-Rodríguez, S Hajimiri, IB Ayed, J Dolz
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Labeling confidence for uncertainty-aware histology image classification
R Del Amor, J Silva-Rodríguez, V Naranjo
Computerized Medical Imaging and Graphics (CMIG), 2023
Supervised contrastive learning-guided prototypes on axle-box accelerations for railway crossing inspections
J Silva-Rodríguez, P Salvador, V Naranjo, R Insa
Expert Systems with Applications (ESWA), 2022
Towards foundation models and few-shot parameter-efficient fine-tuning for volumetric organ segmentation
J Silva-Rodríguez, J Dolz, I Ben Ayed
MICCAI Workshop on foundation models for general medical AI (Best Paper Award), 2023
Acoustic Echo Cancellation Using Residual U-Nets
J Silva-Rodríguez, MF Dolz, M Ferrer, A Castelló, V Naranjo, G Piñero
ArXiv Preprint, 2021
HistoColAi: An Open-Source Web Platform for Collaborative Digital Histology Image Annotation with AI-Driven Predictive Integration
CC Pulgarín-Ospina, R del Amor, A Colomer, J Silva-Rodríguez, ...
ArXiv Preprint, 2023
Conditional Generative Adversarial Networks for Acoustic Echo Cancellation
F Pastor-Naranjo, R Del Amor, J Silva-Rodríguez, M Ferrer, G Piñero, ...
European Signal Processing Conference (EUSIPCO), 2022
Challenging Mitosis Detection Algorithms: Global Labels Allow Centroid Localization
C Fernandez-Martín, U Kiraz, J Silva-Rodríguez, S Morales, EAM Janssen, ...
IDEAL (Best Paper Award), 2022
Class and Region-Adaptive Constraints for Network Calibration
B Murugesan, J Silva-Rodríguez, IB Ayed, J Dolz
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024
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