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2020 – today

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2025
[j20]
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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 Wang, Garry Evan Gold, Jang-Hwan Choi:
Low-dose computed tomography perceptual image quality assessment. Medical Image Anal. 99: 103343 (2025)
2024
[j19]
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Chuanbo Wang, Amirreza Mahbod, Isabella Ellinger, Adrian Galdran, Sandeep Gopalakrishnan, Jeffrey A. Niezgoda, Zeyun Yu:
FUSeg: The Foot Ulcer Segmentation Challenge. Inf. 15(3): 140 (2024)
[j18]
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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: 103015 (2024)
[j17]
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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: 103153 (2024)
[j16]
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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): 542-557 (2024)
[c40]
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Adrian Galdran, Miguel Ángel González Ballester:
Data-Centric Label Smoothing for Explainable Glaucoma Screening from Eye Fundus Images. ISBI 2024: 1-4
[c39]
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O. K. Sikha, Adrian Galdran, Meritxell Riera-Marin, Javier García, Júlia Rodríguez-Comas, Gemma Piella, Miguel Ángel González Ballester:
Uncertainty Aware Segmentation Quality Assessment in Medical Images. ISBI 2024: 1-5
[c38]
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  - conf/miccai/AcebesMCG24
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César Acebes, Abdel H. Moustafa, Oscar Camara, Adrian Galdran:
The Centerline-Cross Entropy Loss for Vessel-Like Structure Segmentation: Better Topology Consistency Without Sacrificing Accuracy. MICCAI (8) 2024: 710-720
[i30]
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  - journals/corr/abs-2406-03901
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Adrian Galdran:
Polyp and Surgical Instrument Segmentation with Double Encoder-Decoder Networks. CoRR abs/2406.03901 (2024)
[i29]
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  - journals/corr/abs-2406-03903
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Adrian Galdran, Miguel Ángel González Ballester:
Data-Centric Label Smoothing for Explainable Glaucoma Screening from Eye Fundus Images. CoRR abs/2406.03903 (2024)
[i28]
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  - journals/corr/abs-2410-07124
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Adrian Galdran:
Cross-Task Pretraining for Cross-Organ Cross-Scanner Adenocarcinoma Segmentation. CoRR abs/2410.07124 (2024)
2023
[j15]
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  - journals/mia/MurugesanLGAD23
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Balamurali Murugesan, Bingyuan Liu, Adrian Galdran, Ismail Ben Ayed, Jose Dolz:
Calibrating segmentation networks with margin-based label smoothing. Medical Image Anal. 87: 102826 (2023)
[c37]
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  - conf/cvpr/LiuRGDA23
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Bingyuan Liu, Jérôme Rony, Adrian Galdran, Jose Dolz, Ismail Ben Ayed:
Class Adaptive Network Calibration. CVPR 2023: 16070-16079
[c36]
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  - conf/cvpr/EisenmannRWTIAA23
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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, Z. Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein:
Why is the Winner the Best? CVPR 2023: 19955-19966
[c35]
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Adrian Galdran, Johan W. Verjans, Gustavo Carneiro, Miguel Ángel González Ballester:
Multi-Head Multi-Loss Model Calibration. MICCAI (3) 2023: 108-117
[c34]
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Adrian Galdran:
Performance Metrics for Probabilistic Ordinal Classifiers. MICCAI (3) 2023: 357-366
[i27]
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  - journals/corr/abs-2302-01738
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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 abs/2302.01738 (2023)
[i26]
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  - journals/corr/abs-2302-01790
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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 abs/2302.01790 (2023)
[i25]
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  - journals/corr/abs-2303-01099
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Adrian Galdran, Johan Verjans, Gustavo Carneiro, Miguel Ángel González Ballester:
Multi-Head Multi-Loss Model Calibration. CoRR abs/2303.01099 (2023)
[i24]
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  - journals/corr/abs-2309-08701
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Adrian Galdran:
Performance Metrics for Probabilistic Ordinal Classifiers. CoRR abs/2309.08701 (2023)
[i23]
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  - journals/corr/abs-2312-17670
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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 abs/2312.17670 (2023)
2022
[j14]
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  - journals/patterns/LiuWWDFYSTLGGPL22
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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): 100512 (2022)
[c33]
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  - conf/cvpr/LiuAGD22
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Bingyuan Liu, Ismail Ben Ayed, Adrian Galdran, Jose Dolz:
The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration. CVPR 2022: 80-88
[c32]
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  - conf/miccai/GaldranCB22
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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: 40-51
[c31]
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Adrian Galdran, Katherine Jane Hewitt, Narmin Ghaffari Laleh, Jakob Nikolas Kather, Gustavo Carneiro, Miguel Ángel González Ballester:
Test Time Transform Prediction for Open Set Histopathological Image Recognition. MICCAI (2) 2022: 263-272
[i22]
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  - journals/corr/abs-2201-00414
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Chuanbo Wang, Amirreza Mahbod, Isabella Ellinger, Adrian Galdran, Sandeep Gopalakrishnan, Jeffrey A. Niezgoda, Zeyun Yu:
FUSeg: The Foot Ulcer Segmentation Challenge. CoRR abs/2201.00414 (2022)
[i21]
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  - journals/corr/abs-2202-12031
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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 abs/2202.12031 (2022)
[i20]
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  - journals/corr/abs-2206-10033
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Adrian Galdran, Katherine Jane Hewitt, Narmin Ghaffari Laleh, Jakob Nikolas Kather, Gustavo Carneiro, Miguel Ángel González Ballester:
Test Time Transform Prediction for Open Set Histopathological Image Recognition. CoRR abs/2206.10033 (2022)
[i19]
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  - journals/corr/abs-2209-06078
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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 abs/2209.06078 (2022)
[i18]
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  - journals/corr/abs-2209-09641
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Balamurali Murugesan, Bingyuan Liu, Adrian Galdran, Ismail Ben Ayed, Jose Dolz:
Calibrating Segmentation Networks with Margin-based Label Smoothing. CoRR abs/2209.09641 (2022)
[i17]
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  - journals/corr/abs-2211-15088
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Bingyuan Liu, Jérôme Rony, Adrian Galdran, Jose Dolz, Ismail Ben Ayed:
Class Adaptive Network Calibration. CoRR abs/2211.15088 (2022)
2021
[j13]
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  - journals/mia/PedrosaAFAPCCLW21
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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: 102027 (2021)
[c30]
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Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester:
Multi-Center Polyp Segmentation withDouble Encoder-Decoder Networks. EndoCV@ISBI 2021: 9-16
[c29]
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Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester:
Convolutional Nets Versus Vision Transformers for Diabetic Foot Ulcer Classification. DFUC@MICCAI 2021: 21-29
[c28]
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Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester:
Balanced-MixUp for Highly Imbalanced Medical Image Classification. MICCAI (5) 2021: 323-333
[i16]
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  - journals/corr/abs-2104-08717
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Bingyuan Liu, Jose Dolz, Adrian Galdran, Riadh Kobbi, Ismail Ben Ayed:
The hidden label-marginal biases of segmentation losses. CoRR abs/2104.08717 (2021)
[i15]
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Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester:
Balanced-MixUp for Highly Imbalanced Medical Image Classification. CoRR abs/2109.09850 (2021)
[i14]
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  - journals/corr/abs-2110-01939
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Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester:
Double Encoder-Decoder Networks for Gastrointestinal Polyp Segmentation. CoRR abs/2110.01939 (2021)
[i13]
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Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester:
Convolutional Nets Versus Vision Transformers for Diabetic Foot Ulcer Classification. CoRR abs/2111.06894 (2021)
[i12]
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Bingyuan Liu, Ismail Ben Ayed, Adrian Galdran, Jose Dolz:
The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration. CoRR abs/2111.15430 (2021)
2020
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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): 607-622 (2020)
[j11]
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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)
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Adrian Galdran, Hamid Bouchachia:
Residual Networks for Pulmonary Nodule Segmentation and Texture Characterization. ICIAR (2) 2020: 396-405
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Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester:
A Hierarchical Multi-task Approach to Gastrointestinal Image Analysis. ICPR Workshops (8) 2020: 275-282
[c25]
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Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester:
Double Encoder-Decoder Networks for Gastrointestinal Polyp Segmentation. ICPR Workshops (1) 2020: 293-307
[c24]
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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: 665-674
[i11]
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  - journals/corr/abs-2007-13838
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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 abs/2007.13838 (2020)
[i10]
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  - journals/corr/abs-2009-01907
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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 abs/2009.01907 (2020)
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Adrian Galdran, José Dolz, Hadi Chakor, Hervé Lombaert, Ismail Ben Ayed:
Cost-Sensitive Regularization for Diabetic Retinopathy Grading from Eye Fundus Images. CoRR abs/2010.00291 (2020)

2010 – 2019

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2019
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Aitor Alvarez-Gila, Adrian Galdran, Estíbaliz Garrote, Joost van de Weijer:
Self-supervised blur detection from synthetically blurred scenes. Image Vis. Comput. 92 (2019)
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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:
CATARACTS: Challenge on automatic tool annotation for cataRACT surgery. Medical Image Anal. 52: 24-41 (2019)
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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: 362-368
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Adrian Galdran, Pedro Costa, Aurélio Campilho:
Real-Time Informative Laryngoscopic Frame Classification with Pre-Trained Convolutional Neural Networks. ISBI 2019: 87-90
[c21]
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Adrian Galdran, Maria Inês Meyer, Pedro Costa, Ana Maria Mendonça, Aurélio Campilho:
Uncertainty-Aware Artery/Vein Classification on Retinal Images. ISBI 2019: 556-560
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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: 1202-1206
[c19]
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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: 1-6
[i8]
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  - journals/corr/abs-1908-10508
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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 abs/1908.10508 (2019)
[i7]
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Aitor Alvarez-Gila, Adrian Galdran, Estíbaliz Garrote, Joost van de Weijer:
Self-supervised blur detection from synthetically blurred scenes. CoRR abs/1908.10638 (2019)
2018
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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: 18747-18758 (2018)
[j7]
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Adrian Galdran:
Image dehazing by artificial multiple-exposure image fusion. Signal Process. 149: 135-147 (2018)
[j6]
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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): 781-791 (2018)
[c18]
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Adrian Galdran, Aitor Alvarez-Gila, Alessandro Bria, Javier Vazquez-Corral, Marcelo Bertalmío:
On the Duality Between Retinex and Image Dehazing. CVPR 2018: 8212-8221
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Maria Inês Meyer, Adrian Galdran, Pedro Costa, Ana Maria Mendonça, Aurélio Campilho:
Deep Convolutional Artery/Vein Classification of Retinal Vessels. ICIAR 2018: 622-630
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Adrian Galdran, Pedro Costa, Javier Vazquez-Corral, Aurélio Campilho:
Weakly Supervised Fog Detection. ICIP 2018: 2875-2879
[c15]
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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: 481-488
[c14]
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Filipe T. Ferreira, Patrick Sousa, Adrian Galdran, Marta R. Sousa, Aurélio Campilho:
End-to-End Supervised Lung Lobe Segmentation. IJCNN 2018: 1-8
[c13]
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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: 39-47
[c12]
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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: 82-90
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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: 165-173
[i6]
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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 abs/1809.09287 (2018)
[i5]
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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 abs/1810.04522 (2018)
[i4]
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Teresa Araújo, Guilherme Aresta, Adrian Galdran, Pedro Costa, Ana Maria Mendonça, Aurélio Campilho:
UOLO - automatic object detection and segmentation in biomedical images. CoRR abs/1810.05729 (2018)
2017
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Adrian Galdran, Javier Vazquez-Corral, David Pardo, Marcelo Bertalmío:
Fusion-Based Variational Image Dehazing. IEEE Signal Process. Lett. 24(2): 151-155 (2017)
[c10]
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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: 219-224
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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: 1-4
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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: 288-298
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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: 507-515
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Pedro Costa, Adrian Galdran, Maria Inês Meyer, Ana Maria Mendonça, Aurélio Campilho:
Adversarial Synthesis of Retinal Images from Vessel Trees. ICIAR 2017: 516-523
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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: 323-330
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Pedro Costa, Adrian Galdran, Maria Inês Meyer, Michael David Abràmoff, Meindert Niemeijer, Ana Maria Mendonça, Aurélio Campilho:
Towards Adversarial Retinal Image Synthesis. CoRR abs/1701.08974 (2017)
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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 abs/1703.03702 (2017)
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Adrian Galdran, Aitor Alvarez-Gila, Alessandro Bria, Javier Vazquez-Corral, Marcelo Bertalmío:
On the Duality Between Retinex and Image Dehazing. CoRR abs/1712.02754 (2017)
2016
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Arantza Bereciartua, Artzai Picón, Adrian Galdran, Pedro M. Iriondo:
3D active surfaces for liver segmentation in multisequence MRI images. Comput. Methods Programs Biomed. 132: 149-160 (2016)
[c4]
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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: 1-6
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Mohammed Sadeq 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: 1-6
2015
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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: 71-77 (2015)
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Adrian Galdran, David Pardo, Artzai Picón, Aitor Alvarez-Gila:
Automatic Red-Channel underwater image restoration. J. Vis. Commun. Image Represent. 26: 132-145 (2015)
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Adrian Galdran, Javier Vazquez-Corral, David Pardo, Marcelo Bertalmío:
Enhanced Variational Image Dehazing. SIAM J. Imaging Sci. 8(3): 1519-1546 (2015)
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Adrian Galdran, Artzai Picón, Estíbaliz Garrote, David Pardo:
Pectoral Muscle Segmentation in Mammograms Based on Cartoon-Texture Decomposition. IbPRIA 2015: 587-594
2014
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Adrian Galdran, Javier Vazquez-Corral, David Pardo, Marcelo Bertalmío:
A Variational Framework for Single Image Dehazing. ECCV Workshops (3) 2014: 259-270

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