A Variational Framework for Single Image Dehazing. - Adrian Galdran; Javier Vazquez-Corral; David Pardo; Marcelo Bertalmío (ECCV Workshops (3), 2014)

Pectoral Muscle Segmentation in Mammograms Based on Cartoon-Texture Decomposition. - Adrian Galdran; Artzai Picón; Estíbaliz Garrote; David Pardo (IbPRIA, 2015)

Automatic 3D model-based method for liver segmentation in MRI based on active contours and total variation minimization. - Arantza Bereciartua 001; Artzai Picón; Adrian Galdran; Pedro M. Iriondo (Biomed. Signal Process. Control., 2015)

Automatic Red-Channel underwater image restoration. - Adrian Galdran; David Pardo; Artzai Picón; Aitor Alvarez-Gila (J. Vis. Commun. Image Represent., 2015)

Enhanced Variational Image Dehazing. - Adrian Galdran; Javier Vazquez-Corral; David Pardo; Marcelo Bertalmío (SIAM J. Imaging Sci., 2015)

Image processing applications through a variational perceptually-based color correction related to Retinex. - Javier Vazquez-Corral; Syed Waqas Zamir; Adrian Galdran; David Pardo; Marcelo Bertalmío (Retinex at 50, 2016)

Intensity normalization of sidescan sonar imagery. - Mohammed Sadeq Al-Rawi; Adrian Galdran; Xin Yuan 003; Martina Eckert; José-Fernán Martínez; Fredrik Elmgren; Baran Çürüklü; Jonathan Rodriguez 001; Joaquim Bastos; Marc Pinto (IPTA, 2016)

3D active surfaces for liver segmentation in multisequence MRI images. - Arantza Bereciartua 001; Artzai Picón; Adrian Galdran; Pedro M. Iriondo (Comput. Methods Programs Biomed., 2016)

Illumination Correction by Dehazing for Retinal Vessel Segmentation. - Benedetta Savelli; Alessandro Bria; Adrian Galdran; Claudio Marrocco; Mario Molinara; Aurélio J. C. Campilho; Francesco Tortorella (CBMS, 2017)

Deflectometry setup definition for automatic chrome surface inspection. - Alberto Isasi-Andrieu; Estíbaliz Garrote-Contreras; Pedro M. Iriondo Bengoa; David Aldama-Gant; Adrian Galdran (ETFA, 2017)

Spatial Enhancement by Dehazing for Detection of Microcalcifications with Convolutional Nets. - Alessandro Bria; Claudio Marrocco; Adrian Galdran; Aurélio Campilho; Agnese Marchesi; Jan-Jurre Mordang; Nico Karssemeijer; Mario Molinara; Francesco Tortorella (ICIAP (2), 2017)

Adversarial Synthesis of Retinal Images from Vessel Trees. - Pedro Costa 005; Adrian Galdran; Maria Inês Meyer; Ana Maria Mendonça; Aurélio Campilho (ICIAR, 2017)

A Deep Neural Network for Vessel Segmentation of Scanning Laser Ophthalmoscopy Images. - Maria Inês Meyer; Pedro Costa 005; Adrian Galdran; Ana Maria Mendonça; Aurélio Campilho (ICIAR, 2017)

EyeQual: Accurate, Explainable, Retinal Image Quality Assessment. - Pedro Costa 005; Aurélio J. C. Campilho; Bryan Hooi; Asim Smailagic; Kris Kitani; Shenghua Liu; Christos Faloutsos; Adrian Galdran (ICMLA, 2017)

Towards Adversarial Retinal Image Synthesis. - Pedro Costa 005; Adrian Galdran; Maria Inês Meyer; Michael David Abràmoff; Meindert Niemeijer; Ana Maria Mendonça; Aurélio Campilho (CoRR, 2017)

Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis. - Adrian Galdran; Aitor Alvarez-Gila; Maria Inês Meyer; Cristina López Saratxaga; Teresa Araujo; Estíbaliz Garrote; Guilherme Aresta; Pedro Costa 005; Ana Maria Mendonça; Aurélio J. C. Campilho (CoRR, 2017)

Fusion-Based Variational Image Dehazing. - Adrian Galdran; Javier Vazquez-Corral; David Pardo; Marcelo Bertalmío (IEEE Signal Process. Lett., 2017)

On the Duality Between Retinex and Image Dehazing. - Adrian Galdran; Aitor Alvarez-Gila; Alessandro Bria; Javier Vazquez-Corral; Marcelo Bertalmío (CVPR, 2018)

Deep Convolutional Artery/Vein Classification of Retinal Vessels. - Maria Inês Meyer; Adrian Galdran; Pedro Costa 005; Ana Maria Mendonça; Aurélio Campilho (ICIAR, 2018)

Weakly Supervised Fog Detection. - Adrian Galdran; Pedro Costa 005; Javier Vazquez-Corral; Aurélio Campilho (ICIP, 2018)

MedAL: Accurate and Robust Deep Active Learning for Medical Image Analysis. - Asim Smailagic; Pedro Costa 005; Hae Young Noh; Devesh Walawalkar; Kartik Khandelwal; Adrian Galdran; Mostafa Mirshekari; Jonathon Fagert; Susu Xu; Pei Zhang 001; Aurélio J. C. Campilho (ICMLA, 2018)

End-to-End Supervised Lung Lobe Segmentation. - Filipe T. Ferreira; Patrick Sousa; Adrian Galdran; Marta R. Sousa; Aurélio Campilho (IJCNN, 2018)

UOLO - Automatic Object Detection and Segmentation in Biomedical Images. - Teresa Araújo; Guilherme Aresta; Adrian Galdran; Pedro Costa 005; Ana Maria Mendonça; Aurélio Campilho (DLMIA/ML-CDS@MICCAI, 2018)

A No-Reference Quality Metric for Retinal Vessel Tree Segmentation. - Adrian Galdran; Pedro Costa 005; Alessandro Bria; Teresa Araújo; Ana Maria Mendonça; Aurélio Campilho (MICCAI (1), 2018)

A Pixel-Wise Distance Regression Approach for Joint Retinal Optical Disc and Fovea Detection. - Maria Inês Meyer; Adrian Galdran; Ana Maria Mendonça; Aurélio Campilho (MICCAI (2), 2018)

A Weakly-Supervised Framework for Interpretable Diabetic Retinopathy Detection on Retinal Images. - Pedro Costa 005; Adrian Galdran; Asim Smailagic; Aurélio J. C. Campilho (IEEE Access, 2018)

MedAL: Deep Active Learning Sampling Method for Medical Image Analysis. - Asim Smailagic; Hae Young Noh; Pedro Costa 005; Devesh Walawalkar; Kartik Khandelwal; Mostafa Mirshekari; Jonathon Fagert; Adrian Galdran; Susu Xu (CoRR, 2018)

A Deep Learning Approach to the Inversion of Borehole Resistivity Measurements. - Mostafa Shahriari; David Pardo; Artzai Picón; Adrian Galdran; Javier Del Ser; Carlos Torres-Verdín (CoRR, 2018)

Image dehazing by artificial multiple-exposure image fusion. - Adrian Galdran (Signal Process., 2018)

End-to-End Adversarial Retinal Image Synthesis. - Pedro Costa 005; Adrian Galdran; Maria Inês Meyer; Meindert Niemeijer; Michael Abramoff; Ana Maria Mendonça; Aurélio J. C. Campilho (IEEE Trans. Medical Imaging, 2018)

Learned Pre-processing for Automatic Diabetic Retinopathy Detection on Eye Fundus Images. - Asim Smailagic; Anupma Sharan; Pedro Costa 005; Adrian Galdran; Alex Gaudio; Aurélio Campilho (ICIAR (2), 2019)

Real-Time Informative Laryngoscopic Frame Classification with Pre-Trained Convolutional Neural Networks. - Adrian Galdran; Pedro Costa 005; Aurélio Campilho (ISBI, 2019)

Uncertainty-Aware Artery/Vein Classification on Retinal Images. - Adrian Galdran; Maria Inês Meyer; Pedro Costa 005; Ana Maria Mendonça; Aurélio Campilho (ISBI, 2019)

Learning to Segment the Lung Volume from CT Scans Based on Semi-Automatic Ground-Truth. - Patrick Sousa; Adrian Galdran; Pedro Costa 005; Aurélio Campilho (ISBI, 2019)

EyeWeS: Weakly Supervised Pre-Trained Convolutional Neural Networks for Diabetic Retinopathy Detection. - Pedro Costa 005; Teresa Araújo; Guilherme Aresta; Adrian Galdran; Ana Maria Mendonça; Asim Smailagic; Aurélio Campilho (MVA, 2019)

Self-supervised blur detection from synthetically blurred scenes. - Aitor Alvarez-Gila; Adrian Galdran; Estíbaliz Garrote; Joost van de Weijer 001 (Image Vis. Comput., 2019)

CATARACTS: Challenge on automatic tool annotation for cataRACT surgery. - Hassan Al Hajj; Mathieu Lamard; Pierre-Henri Conze; Soumali Roychowdhury; Xiaowei Hu 001; Gabija Marsalkaite; Odysseas Zisimopoulos; Muneer Ahmad Dedmari; Fenqiang Zhao; Jonas Prellberg; Manish Sahu; Adrian Galdran; et al. (Medical Image Anal., 2019)

Residual Networks for Pulmonary Nodule Segmentation and Texture Characterization. - Adrian Galdran; Hamid Bouchachia (ICIAR (2), 2020)

Double Encoder-Decoder Networks for Gastrointestinal Polyp Segmentation. - Adrian Galdran; Gustavo Carneiro 001; Miguel Ángel González Ballester (ICPR Workshops (1), 2020)

A Hierarchical Multi-task Approach to Gastrointestinal Image Analysis. - Adrian Galdran; Gustavo Carneiro 001; Miguel Ángel González Ballester (ICPR Workshops (8), 2020)

Cost-Sensitive Regularization for Diabetic Retinopathy Grading from Eye Fundus Images. - Adrian Galdran; Jose Dolz; Hadi Chakor; Hervé Lombaert; Ismail Ben Ayed (MICCAI (5), 2020)

The Little W-Net That Could: State-of-the-Art Retinal Vessel Segmentation with Minimalistic Models. - Adrian Galdran; André Anjos; José Dolz; Hadi Chakor; Hervé Lombaert; Ismail Ben Ayed (CoRR, 2020)

A fast image dehazing method that does not introduce color artifacts. - Javier Vazquez-Corral; Adrian Galdran; Praveen Cyriac; Marcelo Bertalmío (J. Real Time Image Process., 2020)

O-MedAL: Online active deep learning for medical image analysis. - Asim Smailagic; Pedro Costa 005; Alex Gaudio; Kartik Khandelwal; Mostafa Mirshekari; Jonathon Fagert; Devesh Walawalkar; Susu Xu; Adrian Galdran; Pei Zhang 001; Aurélio Campilho; Hae Young Noh (WIREs Data Mining Knowl. Discov., 2020)

Multi-Center Polyp Segmentation withDouble Encoder-Decoder Networks. - Adrian Galdran; Gustavo Carneiro 001; Miguel Ángel González Ballester (EndoCV@ISBI, 2021)

Balanced-MixUp for Highly Imbalanced Medical Image Classification. - Adrian Galdran; Gustavo Carneiro 001; Miguel Ángel González Ballester (MICCAI (5), 2021)

Convolutional Nets Versus Vision Transformers for Diabetic Foot Ulcer Classification. - Adrian Galdran; Gustavo Carneiro 001; Miguel Ángel González Ballester (DFUC@MICCAI, 2021)

The hidden label-marginal biases of segmentation losses. - Bingyuan Liu; Jose Dolz; Adrian Galdran; Riadh Kobbi; Ismail Ben Ayed (CoRR, 2021)

LNDb challenge on automatic lung cancer patient management. - João Pedrosa; Guilherme Aresta; Carlos A. Ferreira; Gurraj Atwal; Hady Ahmady Phoulady; Xiaoyu Chen; Rongzhen Chen; Jiaoliang Li; Liansheng Wang; Adrian Galdran; Hamid Bouchachia; Krishna Chaitanya Kaluva; et al. (Medical Image Anal., 2021)

The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration. - Bingyuan Liu; Ismail Ben Ayed; Adrian Galdran; Jose Dolz (CVPR, 2022)

On the Optimal Combination of Cross-Entropy and Soft Dice Losses for Lesion Segmentation with Out-of-Distribution Robustness. - Adrian Galdran; Gustavo Carneiro 001; Miguel Ángel González Ballester (DFUC@MICCAI, 2022)

Test Time Transform Prediction for Open Set Histopathological Image Recognition. - Adrian Galdran; Katherine Jane Hewitt; Narmin Ghaffari Laleh; Jakob Nikolas Kather; Gustavo Carneiro 001; Miguel Ángel González Ballester (MICCAI (2), 2022)

Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge. - Sharib Ali; Noha M. Ghatwary; Debesh Jha; Ece Isik-Polat; Gorkem Polat; Chen Yang 026; Wuyang Li; Adrian Galdran; Miguel Ángel González Ballester; Vajira Thambawita; Steven Hicks; Sahadev Poudel; et al. (CoRR, 2022)

DeepDRiD: Diabetic Retinopathy - Grading and Image Quality Estimation Challenge. - Ruhan Liu; Xiangning Wang; Qiang Wu; Ling Dai; Xi Fang; Tao Yan; Jaemin Son; Shiqi Tang; Jiang Li 001; Zijian Gao; Adrian Galdran; J. M. Poorneshwaran; et al. (Patterns, 2022)

Why is the Winner the Best? - Matthias Eisenmann; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Fabian Isensee; Tim J. Adler; Sharib Ali; Vincent Andrearczyk; Marc Aubreville; Ujjwal Baid; Spyridon Bakas; Niranjan Balu; et al. (CVPR, 2023)

Class Adaptive Network Calibration. - Bingyuan Liu; Jérôme Rony; Adrian Galdran; Jose Dolz; Ismail Ben Ayed (CVPR, 2023)

Performance Metrics for Probabilistic Ordinal Classifiers. - Adrian Galdran (MICCAI (3), 2023)

Multi-Head Multi-Loss Model Calibration. - Adrian Galdran; Johan W. Verjans; Gustavo Carneiro 001; Miguel Ángel González Ballester (MICCAI (3), 2023)

AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge. - Coen de Vente; Koenraad A. Vermeer; Nicolas Jaccard; He Wang; Hongyi Sun; Firas Khader; Daniel Truhn; Temirgali Aimyshev; Yerkebulan Zhanibekuly; Tien-Dung Le; Adrian Galdran; Miguel Ángel González Ballester; et al. (CoRR, 2023)

Understanding metric-related pitfalls in image analysis validation. - Annika Reinke; Minu Tizabi; Michael Baumgartner 001; Matthias Eisenmann; Doreen Heckmann-Nötzel; A. Emre Kavur; Tim Rädsch; Carole H. Sudre; Laura Ación; Michela Antonelli; Tal Arbel; Spyridon Bakas; et al. (CoRR, 2023)

Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA. - Kaiyuan Yang 003; Fabio Musio; Yihui Ma; Norman Juchler; Johannes C. Paetzold; Rami Al-Maskari; Luciano Höher; Hongwei Bran Li; Ibrahim Ethem Hamamci; Anjany Sekuboyina; Suprosanna Shit; Houjing Huang; et al. (CoRR, 2023)

Calibrating segmentation networks with margin-based label smoothing. - Balamurali Murugesan; Bingyuan Liu; Adrian Galdran; Ismail Ben Ayed; Jose Dolz (Medical Image Anal., 2023)

Data-Centric Label Smoothing for Explainable Glaucoma Screening from Eye Fundus Images. - Adrian Galdran; Miguel Ángel González Ballester (ISBI, 2024)

Uncertainty Aware Segmentation Quality Assessment in Medical Images. - O. K. Sikha 001; Adrian Galdran; Meritxell Riera-Marin; Javier García; Júlia Rodríguez-Comas; Gemma Piella; Miguel Ángel González Ballester (ISBI, 2024)

The Centerline-Cross Entropy Loss for Vessel-Like Structure Segmentation: Better Topology Consistency Without Sacrificing Accuracy. - César Acebes; Abdel H. Moustafa; Oscar Camara 001; Adrian Galdran (MICCAI (8), 2024)

Calibrated Models for DME Progression Prediction from Ultra-Wide Field Retinal Images. - Adrian Galdran (DIAMOND/MARIO@MICCAI, 2024)

Glomeruli Segmentation in Whole-Slide Images: Is Better Local Performance Always Better? - Maria Sánchez; Helena Sánchez; Carlos Pérez de Arenaza; David Ribalta; Nerea Arrarte; Oscar Camara 001; Adrian Galdran (MOVI@MICCAI, 2024)

Polyp and Surgical Instrument Segmentation with Double Encoder-Decoder Networks. - Adrian Galdran (CoRR, 2024)

Cross-Task Pretraining for Cross-Organ Cross-Scanner Adenocarcinoma Segmentation. - Adrian Galdran (CoRR, 2024)

Diabetic foot ulcers segmentation challenge report: Benchmark and analysis. - Moi Hoon Yap; Bill Cassidy; Michal Byra; Ting-Yu Liao; Huahui Yi; Adrian Galdran; Yung-Han Chen; Raphael Brüngel; Sven Koitka; Christoph M. Friedrich; Yu-Wen Lo; Ching-Hui Yang; et al. (Medical Image Anal., 2024)

Do we really need dice? The hidden region-size biases of segmentation losses. - Bingyuan Liu; Jose Dolz; Adrian Galdran; Riadh Kobbi; Ismail Ben Ayed (Medical Image Anal., 2024)

AIROGS: Artificial Intelligence for Robust Glaucoma Screening Challenge. - Coen de Vente; Koenraad A. Vermeer; Nicolas Jaccard; He Wang; Hongyi Sun; Firas Khader; Daniel Truhn; Temirgali Aimyshev; Yerkebulan Zhanibekuly; Tien-Dung Le; Adrian Galdran; Miguel Ángel González Ballester; et al. (IEEE Trans. Medical Imaging, 2024)

FUSeg: The Foot Ulcer Segmentation Challenge. - Chuanbo Wang; Amirreza Mahbod; Isabella Ellinger; Adrian Galdran; Sandeep Gopalakrishnan; Jeffrey A. Niezgoda; Zeyun Yu (Inf., 2024)

Uncertainty-aware segmentation quality prediction via deep learning Bayesian Modeling: Comprehensive evaluation and interpretation on skin cancer and liver segmentation. - O. K. Sikha 001; Meritxell Riera-Marin; Adrian Galdran; Javier García López; Júlia Rodríguez-Comas; Gemma Piella; Miguel Ángel González Ballester (Comput. Medical Imaging Graph., 2025)

Low-dose computed tomography perceptual image quality assessment. - Wonkyeong Lee; Fabian Wagner; Adrian Galdran; Yongyi Shi; Wenjun Xia; Ge Wang 001; Xuanqin Mou; Md. Atik Ahamed; Abdullah-Al-Zubaer Imran; Ji Eun Oh; Kyungsang Kim; Jong Tak Baek; et al. (Medical Image Anal., 2025)

Evaluation of techniques for automated classification and artery quantification of the circle of Willis on TOF-MRA images: The CROWN challenge. - Iris N. Vos; Ynte M. Ruigrok; Edwin Bennink; Mireille R. E. Velthuis; Barbara Paic; Maud E. H. Ophelders; Myrthe A. D. Buser; Bas H. M. van der Velden; Chen Geng 002; Matthieu Coupet; Félix Dumais; Adrian Galdran; et al. (Medical Image Anal., 2025)

KPIs 2024 Challenge: Advancing Glomerular Segmentation from Patch- to Slide-Level. - Ruining Deng; Tianyuan Yao; Yucheng Tang; Junlin Guo; Siqi Lu; Juming Xiong; Lining Yu; Quan Huu Cap; Pengzhou Cai; Libin Lan; Ze Zhao; Adrian Galdran; et al. (CoRR, 2025)

Calibration and Uncertainty for multiRater Volume Assessment in multiorgan Segmentation (CURVAS) challenge results. - Meritxell Riera-Marin; O. K. Sikha 001; Júlia Rodríguez-Comas; Matthias Stefan May; Zhaohong Pan; Xiang Zhou; Xiaokun Liang; Franciskus Xaverius Erick; Andrea Prenner; Cédric Hémon; Valentin Boussot; Jean-Louis Dillenseger; et al. (CoRR, 2025)