Adrian Galdran

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 80

Top Topics

Highly Imbalanced

Diabetic Retinopathy

Top Venues

Medical Image Anal.

Publications

Adrian Galdran
Polyp and Surgical Instrument Segmentation with Double Encoder-Decoder Networks. CoRR (2024)
Chuanbo Wang, Amirreza Mahbod, Isabella Ellinger, Adrian Galdran, Sandeep Gopalakrishnan, Jeffrey A. Niezgoda, Zeyun Yu
FUSeg: The Foot Ulcer Segmentation Challenge. Inf. 15 (3) (2024)
Adrian Galdran, Miguel Ángel González Ballester
Data-Centric Label Smoothing for Explainable Glaucoma Screening from Eye Fundus Images. CoRR (2024)
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, Gustavo Carneiro, Devika R. G, Hrishikesh Panikkasseril Sethumadhavan, Densen Puthussery, Hong Liu, Zekang Yang, Satoshi Kondo, Satoshi Kasai, Edward Wang, Ashritha Durvasula, Jónathan Heras, Miguel Ángel Zapata, Teresa Araújo, Guilherme Aresta, Hrvoje Bogunovic, Mustafa Arikan, Yeong Chan Lee, Hyun Bin Cho, Yoon Ho Choi, Abdul Qayyum, Imran Razzak, Bram van Ginneken, Hans G. Lemij, Clara I. Sánchez
AIROGS: Artificial Intelligence for Robust Glaucoma Screening Challenge. IEEE Trans. Medical Imaging 43 (1) (2024)
Bingyuan Liu, Jose Dolz, Adrian Galdran, Riadh Kobbi, Ismail Ben Ayed
Do we really need dice? The hidden region-size biases of segmentation losses. Medical Image Anal. 91 (2024)
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, Kang Li, Qicheng Lao, Miguel Ángel González Ballester, Gustavo Carneiro, Yi-Jen Ju, Juinn-Dar Huang, Joseph M. Pappachan, Neil D. Reeves, Vishnu Chandrabalan, Darren Dancey, Connah Kendrick
Diabetic foot ulcers segmentation challenge report: Benchmark and analysis. Medical Image Anal. 94 (2024)
Kaiyuan Yang, 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, Diana Waldmannstetter, Florian Kofler, Fernando Navarro, Martin J. Menten, Ivan Ezhov, Daniel Rueckert, Iris N. Vos, Ynte M. Ruigrok, Birgitta K. Velthuis, Hugo J. Kuijf, Julien Hämmerli, Catherine Wurster, Philippe Bijlenga, Laura Westphal, Jeroen Bisschop, Elisa Colombo, Hakim Baazaoui, Andrew Makmur, James Hallinan, Benedikt Wiestler, Jan S. Kirschke, Roland Wiest, Emmanuel Montagnon, Laurent Létourneau-Guillon, Adrian Galdran, Francesco Galati, Daniele Falcetta, Maria A. Zuluaga, Chaolong Lin, Haoran Zhao, Zehan Zhang, Sinyoung Ra, Jongyun Hwang, Hyunjin Park, Junqiang Chen, Marek Wodzinski, Henning Müller, et al.
Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA. CoRR (2023)
Balamurali Murugesan, Bingyuan Liu, Adrian Galdran, Ismail Ben Ayed, Jose Dolz
Calibrating segmentation networks with margin-based label smoothing. Medical Image Anal. 87 (2023)
Adrian Galdran, Johan W. Verjans, Gustavo Carneiro, Miguel Ángel González Ballester
Multi-Head Multi-Loss Model Calibration. MICCAI (3) (2023)
Adrian Galdran
Performance Metrics for Probabilistic Ordinal Classifiers. CoRR (2023)
Annika Reinke, Minu Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Carole H. Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B. Blaschko, Florian Büttner, M. Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Robert Haase, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Jens Kleesiek, Florian Kofler, Thijs Kooi, Annette Kopp-Schneider, Michal Kozubek, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M. Rafelski, Nasir M. Rajpoot, Mauricio Reyes, Michael A. Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I. Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M. Summers, Abdel A. Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Manuel Wiesenfarth, Ziv R. Yaniv, Paul F. Jäger, Lena Maier-Hein
Understanding metric-related pitfalls in image analysis validation. CoRR (2023)
Adrian Galdran
Performance Metrics for Probabilistic Ordinal Classifiers. MICCAI (3) (2023)
Adrian Galdran, Johan Verjans, Gustavo Carneiro, Miguel Ángel González Ballester
Multi-Head Multi-Loss Model Calibration. CoRR (2023)
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, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, A. Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, Jonathan Rafael-Patino, Vivek Singh Bawa, Stefanie Speidel, Carole H. Sudre, Kimberlin M. H. van Wijnen, M. Wagner, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, B. Bhattarai, Louise Bloch, Raphael Brüngel, J. Cho, C. Choi, Q. Dou, Ivan Ezhov, Christoph M. Friedrich, C. Fuller, Rebati Raman Gaire, Adrian Galdran, Álvaro García-Faura, Maria Grammatikopoulou, S. Hong, Mostafa Jahanifar, I. Jang, Abdolrahim Kadkhodamohammadi, I. Kang, Florian Kofler, S. Kondo, Hugo Jaco Kuijf, M. Li, M. Luu, Tomaz Martincic, P. Morais, M. A. Naser, B. Oliveira, D. Owen, S. Pang, J. Park, S. Park, S. Plotka, Élodie Puybareau, Nasir M. Rajpoot, K. Ryu, N. Saeed, Adam Shephard, P. Shi, Dejan Stepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Hélène Urien, João L. Vilaça, Kareem A. Wahid, H. Wang, J. Wang, L. Wang, X. Wang, Benedikt Wiestler, Marek Wodzinski, F. Xia, J. Xie, Z. Xiong, S. Yang, Y. Yang, Z. Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein
Why is the Winner the Best? CVPR (2023)
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, Gustavo Carneiro, Devika R. G, Hrishikesh P. S, Densen Puthussery, Hong Liu, Zekang Yang, Satoshi Kondo, Satoshi Kasai, Edward Wang, Ashritha Durvasula, Jónathan Heras, Miguel Ángel Zapata, Teresa Araújo, Guilherme Aresta, Hrvoje Bogunovic, Mustafa Arikan, Yeong Chan Lee, Hyun Bin Cho, Yoon Ho Choi, Abdul Qayyum, Imran Razzak, Bram van Ginneken, Hans G. Lemij, Clara I. Sánchez
AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge. CoRR (2023)
Bingyuan Liu, Jérôme Rony, Adrian Galdran, Jose Dolz, Ismail Ben Ayed
Class Adaptive Network Calibration. CVPR (2023)
Bingyuan Liu, Ismail Ben Ayed, Adrian Galdran, Jose Dolz
The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration. CVPR (2022)
Chuanbo Wang, Amirreza Mahbod, Isabella Ellinger, Adrian Galdran, Sandeep Gopalakrishnan, Jeffrey Niezgoda, Zeyun Yu
FUSeg: The Foot Ulcer Segmentation Challenge. CoRR (2022)
Bingyuan Liu, Jérôme Rony, Adrian Galdran, Jose Dolz, Ismail Ben Ayed
Class Adaptive Network Calibration. CoRR (2022)
Adrian Galdran, Katherine Jane Hewitt, Narmin L. Ghaffari, Jakob Nikolas Kather, Gustavo Carneiro, Miguel Ángel González Ballester
Test Time Transform Prediction for Open Set Histopathological Image Recognition. CoRR (2022)
Balamurali Murugesan, Bingyuan Liu, Adrian Galdran, Ismail Ben Ayed, Jose Dolz
Calibrating Segmentation Networks with Margin-based Label Smoothing. CoRR (2022)
Ruhan Liu, Xiangning Wang, Qiang Wu, Ling Dai, Xi Fang, Tao Yan, Jaemin Son, Shiqi Tang, Jiang Li, Zijian Gao, Adrian Galdran, J. M. Poorneshwaran, Hao Liu, Jie Wang, Yerui Chen, Prasanna Porwal, Gavin Siew Wei Tan, Xiaokang Yang, Chao Dai, Haitao Song, Mingang Chen, Huating Li, Weiping Jia, Dinggang Shen, Bin Sheng, Ping Zhang
DeepDRiD: Diabetic Retinopathy - Grading and Image Quality Estimation Challenge. Patterns 3 (6) (2022)
Sharib Ali, Noha M. Ghatwary, Debesh Jha, Ece Isik-Polat, Gorkem Polat, Chen Yang, Wuyang Li, Adrian Galdran, Miguel Ángel González Ballester, Vajira Thambawita, Steven Hicks, Sahadev Poudel, Sang-Woong Lee, Ziyi Jin, Tianyuan Gan, ChengHui Yu, Jiangpeng Yan, Doyeob Yeo, Hyunseok Lee, Nikhil Kumar Tomar, Mahmood Haithami, Amr Ahmed, Michael A. Riegler, Christian Daul, Pål Halvorsen, Jens Rittscher, Osama E. Salem, Dominique Lamarque, Renato Cannizzaro, Stefano Realdon, Thomas de Lange, James E. East
Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge. CoRR (2022)
Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester
On the Optimal Combination of Cross-Entropy and Soft Dice Losses for Lesion Segmentation with Out-of-Distribution Robustness. DFUC@MICCAI (2022)
Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester
On the Optimal Combination of Cross-Entropy and Soft Dice Losses for Lesion Segmentation with Out-of-Distribution Robustness. CoRR (2022)
Adrian Galdran, Katherine J. Hewitt, Narmin Ghaffari Laleh, Jakob N. Kather, Gustavo Carneiro, Miguel A. González Ballester
Test Time Transform Prediction for Open Set Histopathological Image Recognition. MICCAI (2) (2022)
Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester
Convolutional Nets Versus Vision Transformers for Diabetic Foot Ulcer Classification. DFUC@MICCAI (2021)
Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester
Convolutional Nets Versus Vision Transformers for Diabetic Foot Ulcer Classification. CoRR (2021)
Bingyuan Liu, Ismail Ben Ayed, Adrian Galdran, Jose Dolz
The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration. CoRR (2021)
Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester
Balanced-MixUp for Highly Imbalanced Medical Image Classification. MICCAI (5) (2021)
Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester
Double Encoder-Decoder Networks for Gastrointestinal Polyp Segmentation. CoRR (2021)
Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester
Balanced-MixUp for Highly Imbalanced Medical Image Classification. CoRR (2021)
Bingyuan Liu, Jose Dolz, Adrian Galdran, Riadh Kobbi, Ismail Ben Ayed
The hidden label-marginal biases of segmentation losses. CoRR (2021)
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, Kiran Vaidhya, Abhijith Chunduru, Sambit Tarai, Sai Prasad Pranav Nadimpalli, Suthirth Vaidya, Ildoo Kim, Alexandr G. Rassadin, Zhenhuan Tian, Zhongwei Sun, Yizhuan Jia, Xuejun Men, Isabel Ramos, António Cunha, Aurélio Campilho
LNDb challenge on automatic lung cancer patient management. Medical Image Anal. 70 (2021)
Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester
Multi-Center Polyp Segmentation withDouble Encoder-Decoder Networks. EndoCV@ISBI (2021)
Asim Smailagic, Pedro Costa, Alex Gaudio, Kartik Khandelwal, Mostafa Mirshekari, Jonathon Fagert, Devesh Walawalkar, Susu Xu, Adrian Galdran, Pei Zhang, Aurélio Campilho, Hae Young Noh
O-MedAL: Online active deep learning for medical image analysis. WIREs Data Mining Knowl. Discov. 10 (4) (2020)
Adrian Galdran, José Dolz, Hadi Chakor, Hervé Lombaert, Ismail Ben Ayed
Cost-Sensitive Regularization for Diabetic Retinopathy Grading from Eye Fundus Images. CoRR (2020)
Adrian Galdran, Hamid Bouchachia
Residual Networks for Pulmonary Nodule Segmentation and Texture Characterization. ICIAR (2) (2020)
Adrian Galdran, André Anjos, José Dolz, Hadi Chakor, Hervé Lombaert, Ismail Ben Ayed
The Little W-Net That Could: State-of-the-Art Retinal Vessel Segmentation with Minimalistic Models. CoRR (2020)
Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester
Double Encoder-Decoder Networks for Gastrointestinal Polyp Segmentation. ICPR Workshops (1) (2020)
Adrian Galdran, Jose Dolz, Hadi Chakor, Hervé Lombaert, Ismail Ben Ayed
Cost-Sensitive Regularization for Diabetic Retinopathy Grading from Eye Fundus Images. MICCAI (5) (2020)
Javier Vazquez-Corral, Adrian Galdran, Praveen Cyriac, Marcelo Bertalmío
A fast image dehazing method that does not introduce color artifacts. J. Real Time Image Process. 17 (3) (2020)
Asim Smailagic, Anupma Sharan, Pedro Costa, Adrian Galdran, Alex Gaudio, Aurélio Campilho
Learned Pre-Processing for Automatic Diabetic Retinopathy Detection on Eye Fundus Images. CoRR (2020)
Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester
A Hierarchical Multi-task Approach to Gastrointestinal Image Analysis. ICPR Workshops (8) (2020)
Adrian Galdran, Pedro Costa, Aurélio Campilho
Real-Time Informative Laryngoscopic Frame Classification with Pre-Trained Convolutional Neural Networks. ISBI (2019)
Adrian Galdran, Maria Inês Meyer, Pedro Costa, Ana Maria Mendonça, Aurélio Campilho
Uncertainty-Aware Artery/Vein Classification on Retinal Images. ISBI (2019)
Pedro Costa, Teresa Araújo, Guilherme Aresta, Adrian Galdran, Ana Maria Mendonça, Asim Smailagic, Aurélio Campilho
EyeWeS: Weakly Supervised Pre-Trained Convolutional Neural Networks for Diabetic Retinopathy Detection. MVA (2019)
Asim Smailagic, Pedro Costa, Alex Gaudio, Kartik Khandelwal, Mostafa Mirshekari, Jonathon Fagert, Devesh Walawalkar, Susu Xu, Adrian Galdran, Pei Zhang, Aurélio Campilho, Hae Young Noh
O-MedAL: Online Active Deep Learning for Medical Image Analysis. CoRR (2019)
Aitor Alvarez-Gila, Adrian Galdran, Estíbaliz Garrote, Joost van de Weijer
Self-supervised blur detection from synthetically blurred scenes. Image Vis. Comput. 92 (2019)
Asim Smailagic, Anupma Sharan, Pedro Costa, Adrian Galdran, Alex Gaudio, Aurélio Campilho
Learned Pre-processing for Automatic Diabetic Retinopathy Detection on Eye Fundus Images. ICIAR (2) (2019)
Hassan Al Hajj, Mathieu Lamard, Pierre-Henri Conze, Soumali Roychowdhury, Xiaowei Hu, Gabija Marsalkaite, Odysseas Zisimopoulos, Muneer Ahmad Dedmari, Fenqiang Zhao, Jonas Prellberg, Manish Sahu, Adrian Galdran, Teresa Araújo, Duc My Vo, Chandan Panda, Navdeep Dahiya, Satoshi Kondo, Zhengbing Bian, Gwénolé Quellec
CATARACTS: Challenge on automatic tool annotation for cataRACT surgery. Medical Image Anal. 52 (2019)
Patrick Sousa, Adrian Galdran, Pedro Costa, Aurélio Campilho
Learning to Segment the Lung Volume from CT Scans Based on Semi-Automatic Ground-Truth. ISBI (2019)
Aitor Alvarez-Gila, Adrian Galdran, Estíbaliz Garrote, Joost van de Weijer
Self-supervised blur detection from synthetically blurred scenes. CoRR (2019)
Asim Smailagic, Hae Young Noh, Pedro Costa, Devesh Walawalkar, Kartik Khandelwal, Mostafa Mirshekari, Jonathon Fagert, Adrian Galdran, Susu Xu
MedAL: Deep Active Learning Sampling Method for Medical Image Analysis. CoRR (2018)
Asim Smailagic, Pedro Costa, Hae Young Noh, Devesh Walawalkar, Kartik Khandelwal, Adrian Galdran, Mostafa Mirshekari, Jonathon Fagert, Susu Xu, Pei Zhang, Aurélio J. C. Campilho
MedAL: Accurate and Robust Deep Active Learning for Medical Image Analysis. ICMLA (2018)
Adrian Galdran, Pedro Costa, Javier Vazquez-Corral, Aurélio Campilho
Weakly Supervised Fog Detection. ICIP (2018)
Maria Inês Meyer, Adrian Galdran, Pedro Costa, Ana Maria Mendonça, Aurélio Campilho
Deep Convolutional Artery/Vein Classification of Retinal Vessels. ICIAR (2018)
Teresa Araújo, Guilherme Aresta, Adrian Galdran, Pedro Costa, Ana Maria Mendonça, Aurélio Campilho
UOLO - Automatic Object Detection and Segmentation in Biomedical Images. DLMIA/ML-CDS@MICCAI (2018)
Maria Inês Meyer, Adrian Galdran, Ana Maria Mendonça, Aurélio Campilho
A Pixel-Wise Distance Regression Approach for Joint Retinal Optical Disc and Fovea Detection. MICCAI (2) (2018)
Pedro Costa, Adrian Galdran, Asim Smailagic, Aurélio J. C. Campilho
A Weakly-Supervised Framework for Interpretable Diabetic Retinopathy Detection on Retinal Images. IEEE Access 6 (2018)
Mostafa Shahriari, David Pardo, Artzai Picón, Adrian Galdran, Javier Del Ser, Carlos Torres-Verdín
A Deep Learning Approach to the Inversion of Borehole Resistivity Measurements. CoRR (2018)
Teresa Araújo, Guilherme Aresta, Adrian Galdran, Pedro Costa, Ana Maria Mendonça, Aurélio Campilho
UOLO - automatic object detection and segmentation in biomedical images. CoRR (2018)
Pedro Costa, Adrian Galdran, Maria Inês Meyer, Meindert Niemeijer, Michael Abramoff, Ana Maria Mendonça, Aurélio J. C. Campilho
End-to-End Adversarial Retinal Image Synthesis. IEEE Trans. Medical Imaging 37 (3) (2018)
Adrian Galdran, Aitor Alvarez-Gila, Alessandro Bria, Javier Vazquez-Corral, Marcelo Bertalmío
On the Duality Between Retinex and Image Dehazing. CVPR (2018)
Adrian Galdran, Pedro Costa, Alessandro Bria, Teresa Araújo, Ana Maria Mendonça, Aurélio Campilho
A No-Reference Quality Metric for Retinal Vessel Tree Segmentation. MICCAI (1) (2018)
Adrian Galdran
Image dehazing by artificial multiple-exposure image fusion. Signal Process. 149 (2018)
Filipe T. Ferreira, Patrick Sousa, Adrian Galdran, Marta R. Sousa, Aurélio Campilho
End-to-End Supervised Lung Lobe Segmentation. IJCNN (2018)
Alberto Isasi-Andrieu, Estíbaliz Garrote-Contreras, Pedro M. Iriondo Bengoa, David Aldama-Gant, Adrian Galdran
Deflectometry setup definition for automatic chrome surface inspection. ETFA (2017)
Pedro Costa, Aurélio J. C. Campilho, Bryan Hooi, Asim Smailagic, Kris Kitani, Shenghua Liu, Christos Faloutsos, Adrian Galdran
EyeQual: Accurate, Explainable, Retinal Image Quality Assessment. ICMLA (2017)
Benedetta Savelli, Alessandro Bria, Adrian Galdran, Claudio Marrocco, Mario Molinara, Aurélio J. C. Campilho, Francesco Tortorella
Illumination Correction by Dehazing for Retinal Vessel Segmentation. CBMS (2017)
Alessandro Bria, Claudio Marrocco, Adrian Galdran, Aurélio Campilho, Agnese Marchesi, Jan-Jurre Mordang, Nico Karssemeijer, Mario Molinara, Francesco Tortorella
Spatial Enhancement by Dehazing for Detection of Microcalcifications with Convolutional Nets. ICIAP (2) (2017)
Adrian Galdran, Aitor Alvarez-Gila, Alessandro Bria, Javier Vazquez-Corral, Marcelo Bertalmío
On the Duality Between Retinex and Image Dehazing. CoRR (2017)
Maria Inês Meyer, Pedro Costa, Adrian Galdran, Ana Maria Mendonça, Aurélio Campilho
A Deep Neural Network for Vessel Segmentation of Scanning Laser Ophthalmoscopy Images. ICIAR (2017)
Adrian Galdran, Javier Vazquez-Corral, David Pardo, Marcelo Bertalmío
Fusion-Based Variational Image Dehazing. IEEE Signal Process. Lett. 24 (2) (2017)
Pedro Costa, Adrian Galdran, Maria Inês Meyer, Ana Maria Mendonça, Aurélio Campilho
Adversarial Synthesis of Retinal Images from Vessel Trees. ICIAR (2017)
Adrian Galdran, Aitor Alvarez-Gila, Maria Inês Meyer, Cristina López Saratxaga, Teresa Araujo, Estíbaliz Garrote, Guilherme Aresta, Pedro Costa, Ana Maria Mendonça, Aurélio J. C. Campilho
Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis. CoRR (2017)
Pedro Costa, Adrian Galdran, Maria Inês Meyer, Michael David Abràmoff, Meindert Niemeijer, Ana Maria Mendonça, Aurélio Campilho
Towards Adversarial Retinal Image Synthesis. CoRR (2017)
Arantza Bereciartua, Artzai Picón, Adrian Galdran, Pedro M. Iriondo
3D active surfaces for liver segmentation in multisequence MRI images. Comput. Methods Programs Biomed. 132 (2016)
Javier Vazquez-Corral, Syed Waqas Zamir, Adrian Galdran, David Pardo, Marcelo Bertalmío
Image processing applications through a variational perceptually-based color correction related to Retinex. Retinex at 50 (2016)
M. S. Al-Rawi, Adrian Galdran, Xin Yuan, Martina Eckert, José-Fernán Martínez, Fredrik Elmgren, Baran Çürüklü, Jonathan Rodriguez, Joaquim Bastos, Marc Pinto
Intensity normalization of sidescan sonar imagery. IPTA (2016)
Adrian Galdran, David Pardo, Artzai Picón, Aitor Alvarez-Gila
Automatic Red-Channel underwater image restoration. J. Vis. Commun. Image Represent. 26 (2015)
Arantza Bereciartua, Artzai Picón, Adrian Galdran, Pedro M. Iriondo
Automatic 3D model-based method for liver segmentation in MRI based on active contours and total variation minimization. Biomed. Signal Process. Control. 20 (2015)
Adrian Galdran, Artzai Picón, Estíbaliz Garrote, David Pardo
Pectoral Muscle Segmentation in Mammograms Based on Cartoon-Texture Decomposition. IbPRIA (2015)
Adrian Galdran, Javier Vazquez-Corral, David Pardo, Marcelo Bertalmío
Enhanced Variational Image Dehazing. SIAM J. Imaging Sci. 8 (3) (2015)
Adrian Galdran, Javier Vazquez-Corral, David Pardo, Marcelo Bertalmío
A Variational Framework for Single Image Dehazing. ECCV Workshops (3) (2014)