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Julio Silva-Rodríguez
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2020 – today
- 2025
- [j10]Julio Silva-Rodríguez, Hadi Chakor, Riadh Kobbi, Jose Dolz
, Ismail Ben Ayed:
A Foundation Language-Image Model of the Retina (FLAIR): encoding expert knowledge in text supervision. Medical Image Anal. 99: 103357 (2025) - 2024
- [j9]Claudio Fernandez-Martín
Uninformed Teacher-Student for hard-samples distillation in weakly supervised mitosis localization. Comput. Medical Imaging Graph. 112: 102328 (2024) - [c13]Julio Silva-Rodríguez, Sina Hajimiri, Ismail Ben Ayed, Jose Dolz:
A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models. CVPR 2024: 23681-23690 - [c12]Balamurali Murugesan
Robust Calibration of Large Vision-Language Adapters. ECCV (24) 2024: 147-165 - [c11]Balamurali Murugesan
Class and Region-Adaptive Constraints for Network Calibration. MICCAI (8) 2024: 57-67 - [c10]Fereshteh Shakeri
Few-Shot Adaptation of Medical Vision-Language Models. MICCAI (12) 2024: 553-563 - [i19]Rocío del Amor, Julio Silva-Rodríguez, Adrián Colomer, Valery Naranjo:
Attention to detail: inter-resolution knowledge distillation. CoRR abs/2401.06010 (2024) - [i18]Julio Silva-Rodríguez, Jihed Chelbi, Waziha Kabir, Hadi Chakor, Jose Dolz, Ismail Ben Ayed, Riadh Kobbi:
Exploring the Transferability of a Foundation Model for Fundus Images: Application to Hypertensive Retinopathy. CoRR abs/2401.15526 (2024) - [i17]Balamurali Murugesan, Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz:
Class and Region-Adaptive Constraints for Network Calibration. CoRR abs/2403.12364 (2024) - [i16]Saul Fuster, Farbod Khoraminia, Julio Silva-Rodríguez, Umay Kiraz, Geert J. L. H. van Leenders, Trygve Eftestøl, Valery Naranjo, Emiel A. M. Janssen, Tahlita C. M. Zuiverloon, Kjersti Engan:
Self-Contrastive Weakly Supervised Learning Framework for Prognostic Prediction Using Whole Slide Images. CoRR abs/2405.15264 (2024) - [i15]Balamurali Murugesan, Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz:
Robust Calibration of Large Vision-Language Adapters. CoRR abs/2407.13588 (2024) - [i14]Fereshteh Shakeri, Yunshi Huang, Julio Silva-Rodríguez, Houda Bahig, An Tang, Jose Dolz, Ismail Ben Ayed:
Few-shot Adaptation of Medical Vision-Language Models. CoRR abs/2409.03868 (2024) - 2023
- [j8]Rocío del Amor, Julio Silva-Rodríguez, Valery Naranjo:
Labeling confidence for uncertainty-aware histology image classification. Comput. Medical Imaging Graph. 107: 102231 (2023) - [c9]Julio Silva-Rodríguez, Jihed Chelbi, Waziha Kabir, Hadi Chakor, Jose Dolz, Ismail Ben Ayed, Riadh Kobbi:
Exploring the Transferability of a Foundation Model for Fundus Images: Application to Hypertensive Retinopathy. CGI (3) 2023: 427-437 - [c8]Rocío del Amor, Julio Silva-Rodríguez, Adrián Colomer, Valery Naranjo:
Attention to Detail: Inter-Resolution Knowledge Distillation. EUSIPCO 2023: 985-989 - [c7]Julio Silva-Rodríguez, Jose Dolz, Ismail Ben Ayed:
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 213-224 - [i13]Julio Silva-Rodríguez, Jose Dolz, Ismail Ben Ayed:
Transductive few-shot adapters for medical image segmentation. CoRR abs/2303.17051 (2023) - [i12]Cristian Camilo Pulgarín-Ospina, Rocío del Amor, Adrián Colomer, Julio Silva-Rodríguez, Valery Naranjo:
HistoColAi: An Open-Source Web Platform for Collaborative Digital Histology Image Annotation with AI-Driven Predictive Integration. CoRR abs/2307.07525 (2023) - [i11]Julio Silva-Rodríguez, Hadi Chakor, Riadh Kobbi, Jose Dolz, Ismail Ben Ayed:
A Foundation LAnguage-Image model of the Retina (FLAIR): Encoding expert knowledge in text supervision. CoRR abs/2308.07898 (2023) - [i10]Julio Silva-Rodríguez, Sina Hajimiri, Ismail Ben Ayed, Jose Dolz:
A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models. CoRR abs/2312.12730 (2023) - 2022
- [j7]Arne Schmidt
Efficient Cancer Classification by Coupling Semi Supervised and Multiple Instance Learning. IEEE Access 10: 9763-9773 (2022) - [j6]Julio Silva-Rodríguez, Arne Schmidt
Proportion constrained weakly supervised histopathology image classification. Comput. Biol. Medicine 147: 105714 (2022) - [j5]Julio Silva-Rodríguez
Supervised contrastive learning-guided prototypes on axle-box accelerations for railway crossing inspections. Expert Syst. Appl. 207: 117946 (2022) - [j4]Julio Silva-Rodríguez, Valery Naranjo
Constrained unsupervised anomaly segmentation. Medical Image Anal. 80: 102526 (2022) - [c6]Fran Pastor-Naranjo, Rocío del Amor, Julio Silva-Rodríguez, Miguel Ferrer, Gema Piñero, Valery Naranjo:
Conditional Generative Adversarial Networks for Acoustic Echo Cancellation. EUSIPCO 2022: 85-89 - [c5]Claudio Fernandez-Martín
Challenging Mitosis Detection Algorithms: Global Labels Allow Centroid Localization. IDEAL 2022: 482-490 - [i9]Julio Silva-Rodríguez, Valery Naranjo, Jose Dolz:
Constrained unsupervised anomaly segmentation. CoRR abs/2203.01671 (2022) - [i8]Claudio Fernandez-Martín
Challenging mitosis detection algorithms: Global labels allow centroid localization. CoRR abs/2211.16852 (2022) - 2021
- [j3]Julio Silva-Rodríguez
WeGleNet: A weakly-supervised convolutional neural network for the semantic segmentation of Gleason grades in prostate histology images. Comput. Medical Imaging Graph. 88: 101846 (2021) - [j2]Julio Silva-Rodríguez
Self-Learning for Weakly Supervised Gleason Grading of Local Patterns. IEEE J. Biomed. Health Informatics 25(8): 3094-3104 (2021) - [c4]Julio Silva-Rodríguez, Valery Naranjo, Jose Dolz:
Looking at the whole picture: constrained unsupervised anomaly segmentation. BMVC 2021: 400 - [i7]Julio Silva-Rodríguez, Adrián Colomer, José Dolz, Valery Naranjo:
Self-learning for weakly supervised Gleason grading of local patterns. CoRR abs/2105.10420 (2021) - [i6]Julio Silva-Rodríguez, Adrián Colomer, Valery Naranjo:
WeGleNet: A Weakly-Supervised Convolutional Neural Network for the Semantic Segmentation of Gleason Grades in Prostate Histology Images. CoRR abs/2105.10445 (2021) - [i5]Julio Silva-Rodríguez, Adrián Colomer, María Á. Sales, Rafael Molina, Valery Naranjo:
Going Deeper through the Gleason Scoring Scale: An Automatic end-to-end System for Histology Prostate Grading and Cribriform Pattern Detection. CoRR abs/2105.10490 (2021) - [i4]Julio Silva-Rodríguez, Elena Payá-Bosch, Gabriel García, Adrián Colomer, Valery Naranjo:
Prostate Gland Segmentation in Histology Images via Residual and Multi-Resolution U-Net. CoRR abs/2105.10556 (2021) - [i3]Julio Silva-Rodríguez, Valery Naranjo, Jose Dolz:
Looking at the whole picture: constrained unsupervised anomaly segmentation. CoRR abs/2109.00482 (2021) - [i2]Julio Silva-Rodríguez, Manuel F. Dolz, Miguel Ferrer, Adrián Castelló, Valery Naranjo, Gema Piñero
Acoustic Echo Cancellation using Residual U-Nets. CoRR abs/2109.09686 (2021) - 2020
- [j1]Julio Silva-Rodríguez
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. 195: 105637 (2020) - [c3]Amartya Kalapahar, Julio Silva-Rodríguez
Gleason Grading of Histology Prostate Images Through Semantic Segmentation via Residual U-Net. ICIP 2020: 2501-2505 - [c2]Julio Silva-Rodríguez
Prostate Gland Segmentation in Histology Images via Residual and Multi-resolution U-NET. IDEAL (1) 2020: 1-8 - [i1]Amartya Kalapahar, Julio Silva-Rodríguez, Adrián Colomer
Gleason Grading of Histology Prostate Images through Semantic Segmentation via Residual U-Net. CoRR abs/2005.11368 (2020)
2010 – 2019
- 2019
- [c1]Julio Silva-Rodríguez
Predicting the Success of Blastocyst Implantation from Morphokinetic Parameters Estimated through CNNs and Sum of Absolute Differences. EUSIPCO 2019: 1-5
Coauthor Index
aka: José Dolz
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