Predicting the Success of Blastocyst Implantation from Morphokinetic Parameters Estimated through CNNs and Sum of Absolute Differences. - Julio Silva-Rodríguez; Adrián Colomer; Marcos Meseguer; Valery Naranjo (EUSIPCO, 2019)

Gleason Grading of Histology Prostate Images Through Semantic Segmentation via Residual U-Net. - Amartya Kalapahar; Julio Silva-Rodríguez; Adrián Colomer; Fernando López-Mir; Valery Naranjo (ICIP, 2020)

Prostate Gland Segmentation in Histology Images via Residual and Multi-resolution U-NET. - Julio Silva-Rodríguez; Elena Payá-Bosch; Gabriel García 001; Adrián Colomer; Valery Naranjo (IDEAL (1), 2020)

Going deeper through the Gleason scoring scale: An automatic end-to-end system for histology prostate grading and cribriform pattern detection. - Julio Silva-Rodríguez; Adrián Colomer; María Á. Sales; Rafael Molina 001; Valery Naranjo (Comput. Methods Programs Biomed., 2020)

Looking at the whole picture: constrained unsupervised anomaly segmentation. - Julio Silva-Rodríguez; Valery Naranjo; Jose Dolz (BMVC, 2021)

WeGleNet: A weakly-supervised convolutional neural network for the semantic segmentation of Gleason grades in prostate histology images. - Julio Silva-Rodríguez; Adrián Colomer; Valery Naranjo (Comput. Medical Imaging Graph., 2021)

Acoustic Echo Cancellation using Residual U-Nets. - Julio Silva-Rodríguez; Manuel F. Dolz; Miguel Ferrer 001; Adrián Castelló 001; Valery Naranjo; Gema Piñero (CoRR, 2021)

Self-Learning for Weakly Supervised Gleason Grading of Local Patterns. - Julio Silva-Rodríguez; Adrián Colomer; Jose Dolz; Valery Naranjo (IEEE J. Biomed. Health Informatics, 2021)

Conditional Generative Adversarial Networks for Acoustic Echo Cancellation. - Fran Pastor-Naranjo; Rocío del Amor; Julio Silva-Rodríguez; Miguel Ferrer 001; Gema Piñero; Valery Naranjo (EUSIPCO, 2022)

Challenging Mitosis Detection Algorithms: Global Labels Allow Centroid Localization. - Claudio Fernandez-Martín; Umay Kiraz; Julio Silva-Rodríguez; Sandra Morales; Emiel A. M. Janssen; Valery Naranjo (IDEAL, 2022)

Efficient Cancer Classification by Coupling Semi Supervised and Multiple Instance Learning. - Arne Schmidt 005; Julio Silva-Rodríguez; Rafael Molina 001; Valery Naranjo (IEEE Access, 2022)

Proportion constrained weakly supervised histopathology image classification. - Julio Silva-Rodríguez; Arne Schmidt 005; María Á. Sales; Rafael Molina 001; Valery Naranjo (Comput. Biol. Medicine, 2022)

Supervised contrastive learning-guided prototypes on axle-box accelerations for railway crossing inspections. - Julio Silva-Rodríguez; Pablo Salvador; Valery Naranjo; Ricardo Insa (Expert Syst. Appl., 2022)

Constrained unsupervised anomaly segmentation. - Julio Silva-Rodríguez; Valery Naranjo; Jose Dolz (Medical Image Anal., 2022)

Exploring the Transferability of a Foundation Model for Fundus Images: Application to Hypertensive Retinopathy. - Julio Silva-Rodríguez; Jihed Chelbi; Waziha Kabir; Hadi Chakor; Jose Dolz; Ismail Ben Ayed; Riadh Kobbi (CGI (3), 2023)

Attention to Detail: Inter-Resolution Knowledge Distillation. - Rocío del Amor; Julio Silva-Rodríguez; Adrián Colomer; Valery Naranjo (EUSIPCO, 2023)

Labeling confidence for uncertainty-aware histology image classification. - Rocío del Amor; Julio Silva-Rodríguez; Valery Naranjo (Comput. Medical Imaging Graph., 2023)

Transductive few-shot adapters for medical image segmentation. - Julio Silva-Rodríguez; Jose Dolz; Ismail Ben Ayed (CoRR, 2023)

A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models. - Julio Silva-Rodríguez; Sina Hajimiri; Ismail Ben Ayed; Jose Dolz (CVPR, 2024)

Robust Calibration of Large Vision-Language Adapters. - Balamurali Murugesan; Julio Silva-Rodríguez; Ismail Ben Ayed; Jose Dolz (ECCV (24), 2024)

Class and Region-Adaptive Constraints for Network Calibration. - Balamurali Murugesan; Julio Silva-Rodríguez; Ismail Ben Ayed; Jose Dolz (MICCAI (8), 2024)

Few-Shot Adaptation of Medical Vision-Language Models. - Fereshteh Shakeri; Yunshi Huang; Julio Silva-Rodríguez; Houda Bahig; An Tang; Jose Dolz; Ismail Ben Ayed (MICCAI (12), 2024)

Uninformed Teacher-Student for hard-samples distillation in weakly supervised mitosis localization. - Claudio Fernandez-Martín; Julio Silva-Rodríguez; Umay Kiraz; Sandra Morales; Emiel A. M. Janssen; Valery Naranjo (Comput. Medical Imaging Graph., 2024)

Self-Contrastive Weakly Supervised Learning Framework for Prognostic Prediction Using Whole Slide Images. - 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 (CoRR, 2024)

Words Matter: Leveraging Individual Text Embeddings for Code Generation in CLIP Test-Time Adaptation. - Shambhavi Mishra; Julio Silva-Rodríguez; Ismail Ben Ayed; Marco Pedersoli; Jose Dolz (CoRR, 2024)

Are foundation models for computer vision good conformal predictors? - Leo Fillioux; Julio Silva-Rodríguez; Ismail Ben Ayed; Paul-Henry Cournède; Maria Vakalopoulou; Stergios Christodoulidis; Jose Dolz (CoRR, 2024)

Conformal Prediction for Zero-Shot Models. - Julio Silva-Rodríguez; Ismail Ben Ayed; Jose Dolz (CVPR, 2025)

A Reality Check of Vision-Language Pre-training in Radiology: Have We Progressed Using Text? - Julio Silva-Rodríguez; Jose Dolz; Ismail Ben Ayed (IPMI (2), 2025)

Full Conformal Adaptation of Medical Vision-Language Models. - Julio Silva-Rodríguez; Leo Fillioux; Paul-Henry Cournède; Maria Vakalopoulou; Stergios Christodoulidis; Ismail Ben Ayed; Jose Dolz (IPMI (2), 2025)

HistoColAi: An open-source web platform for collaborative digital histology image annotation with AI-driven predictive integration. - Cristian Camilo Pulgarín-Ospina; Rocío del Amor; Julio Silva-Rodríguez; Adrián Colomer; Valery Naranjo (Comput. Methods Programs Biomed., 2025)

A Foundation Language-Image Model of the Retina (FLAIR): encoding expert knowledge in text supervision. - Julio Silva-Rodríguez; Hadi Chakor; Riadh Kobbi; Jose Dolz; Ismail Ben Ayed (Medical Image Anal., 2025)

Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation. - Julio Silva-Rodríguez; Jose Dolz; Ismail Ben Ayed (Medical Image Anal., 2025)

HRDC challenge: a public benchmark for hypertension and hypertensive retinopathy classification from fundus images. - Bo Qian; Xiangning Wang; Zhouyu Guan; Dawei Yang; An-ran Ran; Tingyao Li; Zheyuan Wang; Yang Wen; Xinming Shu; Jinyang Xie; Shichang Liu; Guanyu Xing; et al. (Vis. Comput., 2025)

Few-Shot, Now for Real: Medical VLMs Adaptation without Balanced Sets or Validation. - Julio Silva-Rodríguez; Fereshteh Shakeri; Houda Bahig; Jose Dolz; Ismail Ben Ayed (CoRR, 2025)

Trustworthy Few-Shot Transfer of Medical VLMs through Split Conformal Prediction. - Julio Silva-Rodríguez; Ismail Ben Ayed; Jose Dolz (CoRR, 2025)

ViLU: Learning Vision-Language Uncertainties for Failure Prediction. - Marc Lafon; Yannis Karmim; Julio Silva-Rodríguez; Paul Couairon; Clément Rambour; Raphaël Fournier-S'niehotta; Ismail Ben Ayed; Jose Dolz; Nicolas Thome (CoRR, 2025)

Regularized Low-Rank Adaptation for Few-Shot Organ Segmentation. - Ghassen Baklouti; Julio Silva-Rodríguez; Jose Dolz; Houda Bahig; Ismail Ben Ayed (CoRR, 2025)