Julio Silva-Rodríguez
Orcid: 0000-0002-9726-9393
According to our database1,
Julio Silva-Rodríguez
authored at least 30 papers
between 2019 and 2025.
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Bibliography
2025
HRDC challenge: a public benchmark for hypertension and hypertensive retinopathy classification from fundus images.
Vis. Comput., January, 2025
A Foundation Language-Image Model of the Retina (FLAIR): encoding expert knowledge in text supervision.
Medical Image Anal., 2025
HistoColAi: An open-source web platform for collaborative digital histology image annotation with AI-driven predictive integration.
Comput. Methods Programs Biomed., 2025
2024
Words Matter: Leveraging Individual Text Embeddings for Code Generation in CLIP Test-Time Adaptation.
CoRR, 2024
Self-Contrastive Weakly Supervised Learning Framework for Prognostic Prediction Using Whole Slide Images.
CoRR, 2024
Uninformed Teacher-Student for hard-samples distillation in weakly supervised mitosis localization.
Comput. Medical Imaging Graph., 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
Comput. Medical Imaging Graph., 2023
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023
Proceedings of the 31st European Signal Processing Conference, 2023
Exploring the Transferability of a Foundation Model for Fundus Images: Application to Hypertensive Retinopathy.
Proceedings of the Advances in Computer Graphics, 2023
2022
Supervised contrastive learning-guided prototypes on axle-box accelerations for railway crossing inspections.
Expert Syst. Appl., 2022
Comput. Biol. Medicine, 2022
Efficient Cancer Classification by Coupling Semi Supervised and Multiple Instance Learning.
IEEE Access, 2022
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2022, 2022
Proceedings of the 30th European Signal Processing Conference, 2022
2021
IEEE J. Biomed. Health Informatics, 2021
WeGleNet: A weakly-supervised convolutional neural network for the semantic segmentation of Gleason grades in prostate histology images.
Comput. Medical Imaging Graph., 2021
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
2020
Going deeper through the Gleason scoring scale: An automatic end-to-end system for histology prostate grading and cribriform pattern detection.
Comput. Methods Programs Biomed., 2020
Prostate Gland Segmentation in Histology Images via Residual and Multi-resolution U-NET.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020
Gleason Grading of Histology Prostate Images Through Semantic Segmentation via Residual U-Net.
Proceedings of the IEEE International Conference on Image Processing, 2020
2019
Predicting the Success of Blastocyst Implantation from Morphokinetic Parameters Estimated through CNNs and Sum of Absolute Differences.
Proceedings of the 27th European Signal Processing Conference, 2019