Julio Silva-Rodríguez

Orcid: 0000-0002-9726-9393

According to our database1, Julio Silva-Rodríguez authored at least 23 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Class and Region-Adaptive Constraints for Network Calibration.
CoRR, 2024

2023
A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models.
CoRR, 2023

A Foundation LAnguage-Image model of the Retina (FLAIR): Encoding expert knowledge in text supervision.
CoRR, 2023

HistoColAi: An Open-Source Web Platform for Collaborative Digital Histology Image Annotation with AI-Driven Predictive Integration.
CoRR, 2023

Transductive few-shot adapters for medical image segmentation.
CoRR, 2023

Labeling confidence for uncertainty-aware histology image classification.
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

Attention to Detail: Inter-Resolution Knowledge Distillation.
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
Constrained unsupervised anomaly segmentation.
Medical Image Anal., 2022

Supervised contrastive learning-guided prototypes on axle-box accelerations for railway crossing inspections.
Expert Syst. Appl., 2022

Proportion constrained weakly supervised histopathology image classification.
Comput. Biol. Medicine, 2022

Efficient Cancer Classification by Coupling Semi Supervised and Multiple Instance Learning.
IEEE Access, 2022

Challenging Mitosis Detection Algorithms: Global Labels Allow Centroid Localization.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2022, 2022

Conditional Generative Adversarial Networks for Acoustic Echo Cancellation.
Proceedings of the 30th European Signal Processing Conference, 2022

2021
Self-Learning for Weakly Supervised Gleason Grading of Local Patterns.
IEEE J. Biomed. Health Informatics, 2021

Acoustic Echo Cancellation using Residual U-Nets.
CoRR, 2021

WeGleNet: A weakly-supervised convolutional neural network for the semantic segmentation of Gleason grades in prostate histology images.
Comput. Medical Imaging Graph., 2021

Looking at the whole picture: constrained unsupervised anomaly segmentation.
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


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