Adrian Galdran

Orcid: 0000-0002-5992-1520

According to our database1, Adrian Galdran authored at least 71 papers between 2014 and 2025.

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

Timeline

Legend:

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Bibliography

2025
Low-dose computed tomography perceptual image quality assessment.
Medical Image Anal., 2025

2024
FUSeg: The Foot Ulcer Segmentation Challenge.
Inf., March, 2024

AIROGS: Artificial Intelligence for Robust Glaucoma Screening Challenge.
IEEE Trans. Medical Imaging, January, 2024

Do we really need dice? The hidden region-size biases of segmentation losses.
Medical Image Anal., January, 2024

Diabetic foot ulcers segmentation challenge report: Benchmark and analysis.
Medical Image Anal., 2024

Polyp and Surgical Instrument Segmentation with Double Encoder-Decoder Networks.
CoRR, 2024

The Centerline-Cross Entropy Loss for Vessel-Like Structure Segmentation: Better Topology Consistency Without Sacrificing Accuracy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Uncertainty Aware Segmentation Quality Assessment in Medical Images.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Data-Centric Label Smoothing for Explainable Glaucoma Screening from Eye Fundus Images.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
Calibrating segmentation networks with margin-based label smoothing.
Medical Image Anal., 2023

Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA.
CoRR, 2023

Understanding metric-related pitfalls in image analysis validation.
CoRR, 2023

AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge.
CoRR, 2023

Multi-Head Multi-Loss Model Calibration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Performance Metrics for Probabilistic Ordinal Classifiers.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Class Adaptive Network Calibration.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Why is the Winner the Best?
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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
DeepDRiD: Diabetic Retinopathy - Grading and Image Quality Estimation Challenge.
Patterns, 2022

Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge.
CoRR, 2022

Test Time Transform Prediction for Open Set Histopathological Image Recognition.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

On the Optimal Combination of Cross-Entropy and Soft Dice Losses for Lesion Segmentation with Out-of-Distribution Robustness.
Proceedings of the Diabetic Foot Ulcers Grand Challenge - Third Challenge, 2022

The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
LNDb challenge on automatic lung cancer patient management.
Medical Image Anal., 2021

The hidden label-marginal biases of segmentation losses.
CoRR, 2021

Convolutional Nets Versus Vision Transformers for Diabetic Foot Ulcer Classification.
Proceedings of the Diabetic Foot Ulcers Grand Challenge - Second Challenge, 2021

Balanced-MixUp for Highly Imbalanced Medical Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Multi-Center Polyp Segmentation withDouble Encoder-Decoder Networks.
Proceedings of the 3rd International Workshop and Challenge on Computer Vision in Endoscopy (EndoCV 2021) co-located with with the 18th IEEE International Symposium on Biomedical Imaging (ISBI 2021), 2021

2020
O-MedAL: Online active deep learning for medical image analysis.
WIREs Data Mining Knowl. Discov., 2020

A fast image dehazing method that does not introduce color artifacts.
J. Real Time Image Process., 2020

The Little W-Net That Could: State-of-the-Art Retinal Vessel Segmentation with Minimalistic Models.
CoRR, 2020

Cost-Sensitive Regularization for Diabetic Retinopathy Grading from Eye Fundus Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

A Hierarchical Multi-task Approach to Gastrointestinal Image Analysis.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Double Encoder-Decoder Networks for Gastrointestinal Polyp Segmentation.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Residual Networks for Pulmonary Nodule Segmentation and Texture Characterization.
Proceedings of the Image Analysis and Recognition - 17th International Conference, 2020

2019
CATARACTS: Challenge on automatic tool annotation for cataRACT surgery.
Medical Image Anal., 2019

Self-supervised blur detection from synthetically blurred scenes.
Image Vis. Comput., 2019

EyeWeS: Weakly Supervised Pre-Trained Convolutional Neural Networks for Diabetic Retinopathy Detection.
Proceedings of the 16th International Conference on Machine Vision Applications, 2019

Learning to Segment the Lung Volume from CT Scans Based on Semi-Automatic Ground-Truth.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Uncertainty-Aware Artery/Vein Classification on Retinal Images.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Real-Time Informative Laryngoscopic Frame Classification with Pre-Trained Convolutional Neural Networks.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Learned Pre-processing for Automatic Diabetic Retinopathy Detection on Eye Fundus Images.
Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019

2018
End-to-End Adversarial Retinal Image Synthesis.
IEEE Trans. Medical Imaging, 2018

Image dehazing by artificial multiple-exposure image fusion.
Signal Process., 2018

A Deep Learning Approach to the Inversion of Borehole Resistivity Measurements.
CoRR, 2018

MedAL: Deep Active Learning Sampling Method for Medical Image Analysis.
CoRR, 2018

A Weakly-Supervised Framework for Interpretable Diabetic Retinopathy Detection on Retinal Images.
IEEE Access, 2018

A Pixel-Wise Distance Regression Approach for Joint Retinal Optical Disc and Fovea Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

A No-Reference Quality Metric for Retinal Vessel Tree Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

UOLO - Automatic Object Detection and Segmentation in Biomedical Images.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

End-to-End Supervised Lung Lobe Segmentation.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

MedAL: Accurate and Robust Deep Active Learning for Medical Image Analysis.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Weakly Supervised Fog Detection.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Deep Convolutional Artery/Vein Classification of Retinal Vessels.
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018

On the Duality Between Retinex and Image Dehazing.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Fusion-Based Variational Image Dehazing.
IEEE Signal Process. Lett., 2017

Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis.
CoRR, 2017

Towards Adversarial Retinal Image Synthesis.
CoRR, 2017

EyeQual: Accurate, Explainable, Retinal Image Quality Assessment.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

A Deep Neural Network for Vessel Segmentation of Scanning Laser Ophthalmoscopy Images.
Proceedings of the Image Analysis and Recognition - 14th International Conference, 2017

Adversarial Synthesis of Retinal Images from Vessel Trees.
Proceedings of the Image Analysis and Recognition - 14th International Conference, 2017

Spatial Enhancement by Dehazing for Detection of Microcalcifications with Convolutional Nets.
Proceedings of the Image Analysis and Processing - ICIAP 2017, 2017

Deflectometry setup definition for automatic chrome surface inspection.
Proceedings of the 22nd IEEE International Conference on Emerging Technologies and Factory Automation, 2017

Illumination Correction by Dehazing for Retinal Vessel Segmentation.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

2016
3D active surfaces for liver segmentation in multisequence MRI images.
Comput. Methods Programs Biomed., 2016

Intensity normalization of sidescan sonar imagery.
Proceedings of the Sixth International Conference on Image Processing Theory, 2016

Image processing applications through a variational perceptually-based color correction related to Retinex.
Proceedings of the Retinex at 50, San Francisco, CA, USA, February 14-18, 2016, 2016

2015
Enhanced Variational Image Dehazing.
SIAM J. Imaging Sci., 2015

Automatic Red-Channel underwater image restoration.
J. Vis. Commun. Image Represent., 2015

Automatic 3D model-based method for liver segmentation in MRI based on active contours and total variation minimization.
Biomed. Signal Process. Control., 2015

Pectoral Muscle Segmentation in Mammograms Based on Cartoon-Texture Decomposition.
Proceedings of the Pattern Recognition and Image Analysis - 7th Iberian Conference, 2015

2014
A Variational Framework for Single Image Dehazing.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014


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