Adrian Galdran

103 papers A* 4B 3C 3Misc 2Journal 59Unranked 32
YearRankTypeTitle / Venue / Authors
2026 J jnl
JustRAIGS: Justified Referral in AI Glaucoma Screening Challenge.
IEEE Trans. Medical Imaging
Yeganeh Madadi, Hina Raja, Koenraad A. Vermeer, Hans G. Lemij, Xiaoqin Huang, Eunjin Kim, Seunghoon Lee, Gitaek Kwon, Hyunwoo Kim, Jaeyoung Kim, Adrian Galdran, Miguel Ángel González Ballester, Dan Presil, Kristhian Aguilar, Victor Cavalcante, Celso B. Carvalho, Waldir Sabino da Silva Júnior, Mateus Oliveira, Hui Lin, Charilaos Apostolidis, Aggelos K. Katsaggelos, Tomasz Kubrak, Ángela Casado-García, Jónathan Heras, Marcos Ortega, Lucía Ramos, Philippe Zhang, Yihao Li, Jing Zhang, Weili Jiang, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec, Mostafa El Habib Daho, Madukuri Shaurya, Anumeha Varma, Monika Agrawal, Siamak Yousefi
2025 J jnl
AI for Mycetoma Diagnosis in Histopathological Images: The MICCAI 2024 Challenge.
CoRR
Hyam Omar Ali, Sahar Alhesseen, Lamis Elkhair, Adrian Galdran, Ming Feng, Zhixiang Xiong, Zengming Lin, Kele Xu, Liang Hu, Benjamin Keel, Oliver Mills, James Battye, Akshay Kumar, Asra Aslam, Prasad Dutande, Ujjwal Baid, Bhakti Baheti, Suhas S. Gajre, Aravind Shrenivas Murali, Eungjoo Lee, Ahmed Fahal, Rachid Jennane
2025 J jnl
Calibration and Uncertainty for multiRater Volume Assessment in multiorgan Segmentation (CURVAS) challenge results.
Comput. Biol. Medicine
Meritxell Riera-Marin, O. K. Sikha, Júlia Rodríguez-Comas, Matthias Stefan May, Zhaohong Pan, Xiang Zhou, XiaoKun Liang, Franciskus Xaverius Erick, Andrea Prenner, Cédric Hémon, Valentin Boussot, Jean-Louis Dillenseger, Jean-Claude Nunes, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Kaisar Kushibar, Carlos Martín-Isla, Petia Radeva, Karim Lekadir, Theodore Barfoot, Luis C. García-Peraza-Herrera, Ben Glocker, Tom Vercauteren, Lucas Gago, Justin Englemann, Joy-Marie Kleiss, Anton Aubanell, Andreu Antolin, Javier García López, Miguel Ángel González Ballester, Adrian Galdran
2025 J jnl
Calibration and Uncertainty for multiRater Volume Assessment in multiorgan Segmentation (CURVAS) challenge results.
CoRR
Meritxell Riera-Marin, O. K. Sikha, Júlia Rodríguez-Comas, Matthias Stefan May, Zhaohong Pan, Xiang Zhou, XiaoKun Liang, Franciskus Xaverius Erick, Andrea Prenner, Cédric Hémon, Valentin Boussot, Jean-Louis Dillenseger, Jean-Claude Nunes, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Kaisar Kushibar, Carlos Martín-Isla, Petia Radeva, Karim Lekadir, Theodore Barfoot, Luis C. García-Peraza-Herrera, Ben Glocker, Tom Vercauteren, Lucas Gago, Justin Englemann, Joy-Marie Kleiss, Anton Aubanell, Andreu Antolin, Javier García López, Miguel Ángel González Ballester, Adrian Galdran
2025 J jnl
Evaluation of techniques for automated classification and artery quantification of the circle of Willis on TOF-MRA images: The CROWN challenge.
Medical Image Anal.
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, Matthieu Coupet, Félix Dumais, Adrian Galdran, Junyi Zhang, Wei Liu, Ting Ma, Madhu S. Nair, Mathieu Naudin, Preena K. P., Keerthi A. S. Pillai, Pengcheng Shi, Thierry Urruty, Yakang Dai, Kaiyuan Yang, Fabio Musio, Bjoern H. Menze, Birgitta K. Velthuis, Hugo J. Kuijf
2025 J jnl
Is Synthetic Image Augmentation Useful for Imbalanced Classification Problems? Case-Study on the MIDOG2025 Atypical Cell Detection Competition.
CoRR
Leire Benito-Del-Valle, Pedro A. Moreno-Sánchez, Itziar Egusquiza, Itsaso Vitoria, Artzai Picón, Cristina López Saratxaga, Adrian Galdran
2025 J jnl
KPIs 2024 Challenge: Advancing Glomerular Segmentation from Patch- to Slide-Level.
CoRR
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, Amit Kumar, Gunjan Deotale, Dev Kumar Das, Inyoung Paik, Joonho Lee, Geongyu Lee, Yujia Chen, Wangkai Li, Zhaoyang Li, Xuege Hou, Zeyuan Wu, Shengjin Wang, Maximilian Fischer, Lars Kramer, Anghong Du, Le Zhang, Maria Sanchez Sanchez, Helena Sanchez Ulloa, David Ribalta Heredia, Carlos Perez de Arenaza Garcia, Shuoyu Xu, Bingdou He, Xinping Cheng, Tao Wang, Noémie Moreau, Katarzyna Bozek, Shubham Innani, Ujjwal Baid, Kaura Solomon Kefas, Bennett A. Landman, Yu Wang, Shilin Zhao, Mengmeng Yin, Haichun Yang, Yuankai Huo
2025 J jnl
Low-dose computed tomography perceptual image quality assessment.
Medical Image Anal.
Wonkyeong Lee, Fabian Wagner, Adrian Galdran, Yongyi Shi, Wenjun Xia, Ge Wang, Xuanqin Mou, Md. Atik Ahamed, Abdullah-Al-Zubaer Imran, Ji Eun Oh, Kyungsang Kim, Jong Tak Baek, Dongheon Lee, Boohwi Hong, Philip Tempelman, Donghang Lyu, Adrian Kuiper, Lars van Blokland, Maria Baldeon Calisto, Scott S. Hsieh, Minah Han, Jongduk Baek, Andreas Maier, Adam S. Wang, Garry Evan Gold, Jang-Hwan Choi
2025 — conf
Momaku: A Retinal Image Annotation Platform.
ICIAP (2)
Michele Cannito, Anna Maria Llopart, Nerea Ferrara, Massimo Salvi, Alicia Serra, Arnau Valls, Oscar Camara, Adrian Galdran
2025 — conf
Multi-Rater Calibration Error Estimation.
UNSURE@MICCAI
Meritxell Riera-Marin, Javier García López, Júlia Rodríguez-Comas, Miguel Ángel González Ballester, Adrian Galdran
2025 J jnl
Uncertainty-Aware Segmentation Quality Prediction via Deep Learning Bayesian Modeling: Comprehensive Evaluation and Interpretation on Skin Cancer and Liver Segmentation.
CoRR
O. K. Sikha, Meritxell Riera-Marin, Adrian Galdran, Javier García López, Júlia Rodríguez-Comas, Gemma Piella, Miguel Ángel González Ballester
2025 J jnl
Uncertainty-aware segmentation quality prediction via deep learning Bayesian Modeling: Comprehensive evaluation and interpretation on skin cancer and liver segmentation.
Comput. Medical Imaging Graph.
O. K. Sikha, Meritxell Riera-Marin, Adrian Galdran, Javier García López, Júlia Rodríguez-Comas, Gemma Piella, Miguel Ángel González Ballester
2024 J jnl
AIROGS: Artificial Intelligence for Robust Glaucoma Screening Challenge.
IEEE Trans. Medical Imaging
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
2024 — conf
Calibrated Models for DME Progression Prediction from Ultra-Wide Field Retinal Images.
DIAMOND/MARIO@MICCAI
Adrian Galdran
2024 J jnl
Cross-Task Pretraining for Cross-Organ Cross-Scanner Adenocarcinoma Segmentation.
CoRR
Adrian Galdran
2024 — conf
Data-Centric Label Smoothing for Explainable Glaucoma Screening from Eye Fundus Images.
ISBI
Adrian Galdran, Miguel Ángel González Ballester
2024 J jnl
Data-Centric Label Smoothing for Explainable Glaucoma Screening from Eye Fundus Images.
CoRR
Adrian Galdran, Miguel Ángel González Ballester
2024 J jnl
Diabetic foot ulcers segmentation challenge report: Benchmark and analysis.
Medical Image Anal.
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
2024 J jnl
Do we really need dice? The hidden region-size biases of segmentation losses.
Medical Image Anal.
Bingyuan Liu, Jose Dolz, Adrian Galdran, Riadh Kobbi, Ismail Ben Ayed
2024 J jnl
FUSeg: The Foot Ulcer Segmentation Challenge.
Inf.
Chuanbo Wang, Amirreza Mahbod, Isabella Ellinger, Adrian Galdran, Sandeep Gopalakrishnan, Jeffrey A. Niezgoda, Zeyun Yu
2024 — conf
Glomeruli Segmentation in Whole-Slide Images: Is Better Local Performance Always Better?
MOVI@MICCAI
Maria Sánchez, Helena Sánchez, Carlos Pérez de Arenaza, David Ribalta, Nerea Arrarte, Oscar Camara, Adrian Galdran
2024 J jnl
Polyp and Surgical Instrument Segmentation with Double Encoder-Decoder Networks.
CoRR
Adrian Galdran
2024 — conf
The Centerline-Cross Entropy Loss for Vessel-Like Structure Segmentation: Better Topology Consistency Without Sacrificing Accuracy.
MICCAI (8)
César Acebes, Abdel H. Moustafa, Oscar Camara, Adrian Galdran
2024 — conf
Uncertainty Aware Segmentation Quality Assessment in Medical Images.
ISBI
O. K. Sikha, Adrian Galdran, Meritxell Riera-Marin, Javier García, Júlia Rodríguez-Comas, Gemma Piella, Miguel Ángel González Ballester
2023 J jnl
AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge.
CoRR
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
2023 J jnl
Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA.
CoRR
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.
2023 J jnl
Calibrating segmentation networks with margin-based label smoothing.
Medical Image Anal.
Balamurali Murugesan, Bingyuan Liu, Adrian Galdran, Ismail Ben Ayed, Jose Dolz
2023 A* conf
Class Adaptive Network Calibration.
CVPR
Bingyuan Liu, Jérôme Rony, Adrian Galdran, Jose Dolz, Ismail Ben Ayed
2023 — conf
Multi-Head Multi-Loss Model Calibration.
MICCAI (3)
Adrian Galdran, Johan W. Verjans, Gustavo Carneiro, Miguel Ángel González Ballester
2023 J jnl
Multi-Head Multi-Loss Model Calibration.
CoRR
Adrian Galdran, Johan Verjans, Gustavo Carneiro, Miguel Ángel González Ballester
2023 — conf
Performance Metrics for Probabilistic Ordinal Classifiers.
MICCAI (3)
Adrian Galdran
2023 J jnl
Performance Metrics for Probabilistic Ordinal Classifiers.
CoRR
Adrian Galdran
2023 J jnl
Understanding metric-related pitfalls in image analysis validation.
CoRR
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
2023 A* conf
Why is the Winner the Best?
CVPR
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, Martin Wagner, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, Binod 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, Pedro Morais, Mohamed A. Naser, Bruno Oliveira, David Owen, S. Pang, J. Park, S. Park, Szymon Plotka, Élodie Puybareau, Nasir M. Rajpoot, K. Ryu, Numan Saeed, Adam Shephard, Pengcheng 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, Sen Yang, Y. Yang, Zixuan Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein
2022 J jnl
Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge.
CoRR
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
2022 J jnl
Calibrating Segmentation Networks with Margin-based Label Smoothing.
CoRR
Balamurali Murugesan, Bingyuan Liu, Adrian Galdran, Ismail Ben Ayed, Jose Dolz
2022 J jnl
Class Adaptive Network Calibration.
CoRR
Bingyuan Liu, Jérôme Rony, Adrian Galdran, Jose Dolz, Ismail Ben Ayed
2022 J jnl
DeepDRiD: Diabetic Retinopathy - Grading and Image Quality Estimation Challenge.
Patterns
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
2022 J jnl
FUSeg: The Foot Ulcer Segmentation Challenge.
CoRR
Chuanbo Wang, Amirreza Mahbod, Isabella Ellinger, Adrian Galdran, Sandeep Gopalakrishnan, Jeffrey A. Niezgoda, Zeyun Yu
2022 — conf
On the Optimal Combination of Cross-Entropy and Soft Dice Losses for Lesion Segmentation with Out-of-Distribution Robustness.
DFUC@MICCAI
Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester
2022 J jnl
On the Optimal Combination of Cross-Entropy and Soft Dice Losses for Lesion Segmentation with Out-of-Distribution Robustness.
CoRR
Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester
2022 — conf
Test Time Transform Prediction for Open Set Histopathological Image Recognition.
MICCAI (2)
Adrian Galdran, Katherine Jane Hewitt, Narmin Ghaffari Laleh, Jakob Nikolas Kather, Gustavo Carneiro, Miguel Ángel González Ballester
2022 J jnl
Test Time Transform Prediction for Open Set Histopathological Image Recognition.
CoRR
Adrian Galdran, Katherine Jane Hewitt, Narmin Ghaffari Laleh, Jakob Nikolas Kather, Gustavo Carneiro, Miguel Ángel González Ballester
2022 A* conf
The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration.
CVPR
Bingyuan Liu, Ismail Ben Ayed, Adrian Galdran, Jose Dolz
2021 — conf
Balanced-MixUp for Highly Imbalanced Medical Image Classification.
MICCAI (5)
Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester
2021 J jnl
Balanced-MixUp for Highly Imbalanced Medical Image Classification.
CoRR
Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester
2021 — conf
Convolutional Nets Versus Vision Transformers for Diabetic Foot Ulcer Classification.
DFUC@MICCAI
Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester
2021 J jnl
Convolutional Nets Versus Vision Transformers for Diabetic Foot Ulcer Classification.
CoRR
Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester
2021 J jnl
Double Encoder-Decoder Networks for Gastrointestinal Polyp Segmentation.
CoRR
Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester
2021 J jnl
LNDb challenge on automatic lung cancer patient management.
Medical Image Anal.
João Pedrosa, Guilherme Aresta, Carlos 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
2021 — conf
Multi-Center Polyp Segmentation withDouble Encoder-Decoder Networks.
EndoCV@ISBI
Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester
2021 J jnl
The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration.
CoRR
Bingyuan Liu, Ismail Ben Ayed, Adrian Galdran, Jose Dolz
2021 J jnl
The hidden label-marginal biases of segmentation losses.
CoRR
Bingyuan Liu, Jose Dolz, Adrian Galdran, Riadh Kobbi, Ismail Ben Ayed
2020 — conf
A Hierarchical Multi-task Approach to Gastrointestinal Image Analysis.
ICPR Workshops (8)
Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester
2020 J jnl
A fast image dehazing method that does not introduce color artifacts.
J. Real Time Image Process.
Javier Vazquez-Corral, Adrian Galdran, Praveen Cyriac, Marcelo Bertalmío
2020 — conf
Cost-Sensitive Regularization for Diabetic Retinopathy Grading from Eye Fundus Images.
MICCAI (5)
Adrian Galdran, Jose Dolz, Hadi Chakor, Hervé Lombaert, Ismail Ben Ayed
2020 J jnl
Cost-Sensitive Regularization for Diabetic Retinopathy Grading from Eye Fundus Images.
CoRR
Adrian Galdran, José Dolz, Hadi Chakor, Hervé Lombaert, Ismail Ben Ayed
2020 — conf
Double Encoder-Decoder Networks for Gastrointestinal Polyp Segmentation.
ICPR Workshops (1)
Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester
2020 J jnl
Learned Pre-Processing for Automatic Diabetic Retinopathy Detection on Eye Fundus Images.
CoRR
Asim Smailagic, Anupma Sharan, Pedro Costa, Adrian Galdran, Alex Gaudio, Aurélio Campilho
2020 J jnl
O-MedAL: Online active deep learning for medical image analysis.
WIREs Data Mining Knowl. Discov.
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
2020 — conf
Residual Networks for Pulmonary Nodule Segmentation and Texture Characterization.
ICIAR (2)
Adrian Galdran, Hamid Bouchachia
2020 J jnl
The Little W-Net That Could: State-of-the-Art Retinal Vessel Segmentation with Minimalistic Models.
CoRR
Adrian Galdran, André Anjos, José Dolz, Hadi Chakor, Hervé Lombaert, Ismail Ben Ayed
2019 J jnl
CATARACTS: Challenge on automatic tool annotation for cataRACT surgery.
Medical Image Anal.
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, Gwenolé Quellec
2019 Misc conf
EyeWeS: Weakly Supervised Pre-Trained Convolutional Neural Networks for Diabetic Retinopathy Detection.
MVA
Pedro Costa, Teresa Araújo, Guilherme Aresta, Adrian Galdran, Ana Maria Mendonça, Asim Smailagic, Aurélio Campilho
2019 — conf
Learned Pre-processing for Automatic Diabetic Retinopathy Detection on Eye Fundus Images.
ICIAR (2)
Asim Smailagic, Anupma Sharan, Pedro Costa, Adrian Galdran, Alex Gaudio, Aurélio Campilho
2019 — conf
Learning to Segment the Lung Volume from CT Scans Based on Semi-Automatic Ground-Truth.
ISBI
Patrick Sousa, Adrian Galdran, Pedro Costa, Aurélio Campilho
2019 J jnl
O-MedAL: Online Active Deep Learning for Medical Image Analysis.
CoRR
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
2019 — conf
Real-Time Informative Laryngoscopic Frame Classification with Pre-Trained Convolutional Neural Networks.
ISBI
Adrian Galdran, Pedro Costa, Aurélio Campilho
2019 J jnl
Self-supervised blur detection from synthetically blurred scenes.
CoRR
Aitor Alvarez-Gila, Adrian Galdran, Estíbaliz Garrote, Joost van de Weijer
2019 J jnl
Self-supervised blur detection from synthetically blurred scenes.
Image Vis. Comput.
Aitor Alvarez-Gila, Adrian Galdran, Estíbaliz Garrote, Joost van de Weijer
2019 — conf
Uncertainty-Aware Artery/Vein Classification on Retinal Images.
ISBI
Adrian Galdran, Maria Inês Meyer, Pedro Costa, Ana Maria Mendonça, Aurélio Campilho
2018 J jnl
A Deep Learning Approach to the Inversion of Borehole Resistivity Measurements.
CoRR
Mostafa Shahriari, David Pardo, Artzai Picón, Adrian Galdran, Javier Del Ser, Carlos Torres-Verdín
2018 — conf
A No-Reference Quality Metric for Retinal Vessel Tree Segmentation.
MICCAI (1)
Adrian Galdran, Pedro Costa, Alessandro Bria, Teresa Araújo, Ana Maria Mendonça, Aurélio Campilho
2018 — conf
A Pixel-Wise Distance Regression Approach for Joint Retinal Optical Disc and Fovea Detection.
MICCAI (2)
Maria Inês Meyer, Adrian Galdran, Ana Maria Mendonça, Aurélio Campilho
2018 J jnl
A Weakly-Supervised Framework for Interpretable Diabetic Retinopathy Detection on Retinal Images.
IEEE Access
Pedro Costa, Adrian Galdran, Asim Smailagic, Aurélio J. C. Campilho
2018 — conf
Deep Convolutional Artery/Vein Classification of Retinal Vessels.
ICIAR
Maria Inês Meyer, Adrian Galdran, Pedro Costa, Ana Maria Mendonça, Aurélio Campilho
2018 J jnl
End-to-End Adversarial Retinal Image Synthesis.
IEEE Trans. Medical Imaging
Pedro Costa, Adrian Galdran, Maria Inês Meyer, Meindert Niemeijer, Michael Abramoff, Ana Maria Mendonça, Aurélio J. C. Campilho
2018 B conf
End-to-End Supervised Lung Lobe Segmentation.
IJCNN
Filipe T. Ferreira, Patrick Sousa, Adrian Galdran, Marta R. Sousa, Aurélio Campilho
2018 J jnl
Image dehazing by artificial multiple-exposure image fusion.
Signal Process.
Adrian Galdran
2018 C conf
MedAL: Accurate and Robust Deep Active Learning for Medical Image Analysis.
ICMLA
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
2018 J jnl
MedAL: Deep Active Learning Sampling Method for Medical Image Analysis.
CoRR
Asim Smailagic, Hae Young Noh, Pedro Costa, Devesh Walawalkar, Kartik Khandelwal, Mostafa Mirshekari, Jonathon Fagert, Adrian Galdran, Susu Xu
2018 A* conf
On the Duality Between Retinex and Image Dehazing.
CVPR
Adrian Galdran, Aitor Alvarez-Gila, Alessandro Bria, Javier Vazquez-Corral, Marcelo Bertalmío
2018 — conf
UOLO - Automatic Object Detection and Segmentation in Biomedical Images.
DLMIA/ML-CDS@MICCAI
Teresa Araújo, Guilherme Aresta, Adrian Galdran, Pedro Costa, Ana Maria Mendonça, Aurélio Campilho
2018 J jnl
UOLO - automatic object detection and segmentation in biomedical images.
CoRR
Teresa Araújo, Guilherme Aresta, Adrian Galdran, Pedro Costa, Ana Maria Mendonça, Aurélio Campilho
2018 B conf
Weakly Supervised Fog Detection.
ICIP
Adrian Galdran, Pedro Costa, Javier Vazquez-Corral, Aurélio Campilho
2017 — conf
A Deep Neural Network for Vessel Segmentation of Scanning Laser Ophthalmoscopy Images.
ICIAR
Maria Inês Meyer, Pedro Costa, Adrian Galdran, Ana Maria Mendonça, Aurélio Campilho
2017 — conf
Adversarial Synthesis of Retinal Images from Vessel Trees.
ICIAR
Pedro Costa, Adrian Galdran, Maria Inês Meyer, Ana Maria Mendonça, Aurélio Campilho
2017 J jnl
Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis.
CoRR
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
2017 C conf
Deflectometry setup definition for automatic chrome surface inspection.
ETFA
Alberto Isasi-Andrieu, Estíbaliz Garrote-Contreras, Pedro M. Iriondo Bengoa, David Aldama-Gant, Adrian Galdran
2017 C conf
EyeQual: Accurate, Explainable, Retinal Image Quality Assessment.
ICMLA
Pedro Costa, Aurélio J. C. Campilho, Bryan Hooi, Asim Smailagic, Kris Kitani, Shenghua Liu, Christos Faloutsos, Adrian Galdran
2017 J jnl
Fusion-Based Variational Image Dehazing.
IEEE Signal Process. Lett.
Adrian Galdran, Javier Vazquez-Corral, David Pardo, Marcelo Bertalmío
2017 B conf
Illumination Correction by Dehazing for Retinal Vessel Segmentation.
CBMS
Benedetta Savelli, Alessandro Bria, Adrian Galdran, Claudio Marrocco, Mario Molinara, Aurélio J. C. Campilho, Francesco Tortorella
2017 J jnl
On the Duality Between Retinex and Image Dehazing.
CoRR
Adrian Galdran, Aitor Alvarez-Gila, Alessandro Bria, Javier Vazquez-Corral, Marcelo Bertalmío
2017 — conf
Spatial Enhancement by Dehazing for Detection of Microcalcifications with Convolutional Nets.
ICIAP (2)
Alessandro Bria, Claudio Marrocco, Adrian Galdran, Aurélio Campilho, Agnese Marchesi, Jan-Jurre Mordang, Nico Karssemeijer, Mario Molinara, Francesco Tortorella
2017 J jnl
Towards Adversarial Retinal Image Synthesis.
CoRR
Pedro Costa, Adrian Galdran, Maria Inês Meyer, Michael David Abràmoff, Meindert Niemeijer, Ana Maria Mendonça, Aurélio Campilho
2016 J jnl
3D active surfaces for liver segmentation in multisequence MRI images.
Comput. Methods Programs Biomed.
Arantza Bereciartua, Artzai Picón, Adrian Galdran, Pedro M. Iriondo
2016 — conf
Image processing applications through a variational perceptually-based color correction related to Retinex.
Retinex at 50
Javier Vazquez-Corral, Syed Waqas Zamir, Adrian Galdran, David Pardo, Marcelo Bertalmío
2016 — conf
Intensity normalization of sidescan sonar imagery.
IPTA
Mohammed Sadeq Al-Rawi, Adrian Galdran, Xin Yuan, Martina Eckert, José-Fernán Martínez, Fredrik Elmgren, Baran Çürüklü, Jonathan Rodriguez, Joaquim Bastos, Marc Pinto
2015 J jnl
Automatic 3D model-based method for liver segmentation in MRI based on active contours and total variation minimization.
Biomed. Signal Process. Control.
Arantza Bereciartua, Artzai Picón, Adrian Galdran, Pedro M. Iriondo
2015 J jnl
Automatic Red-Channel underwater image restoration.
J. Vis. Commun. Image Represent.
Adrian Galdran, David Pardo, Artzai Picón, Aitor Alvarez-Gila
2015 J jnl
Enhanced Variational Image Dehazing.
SIAM J. Imaging Sci.
Adrian Galdran, Javier Vazquez-Corral, David Pardo, Marcelo Bertalmío
2015 Misc conf
Pectoral Muscle Segmentation in Mammograms Based on Cartoon-Texture Decomposition.
IbPRIA
Adrian Galdran, Artzai Picón, Estíbaliz Garrote, David Pardo
2014 — conf
A Variational Framework for Single Image Dehazing.
ECCV Workshops (3)
Adrian Galdran, Javier Vazquez-Corral, David Pardo, Marcelo Bertalmío