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2020 – today
- 2024
[j32]Xabier Lekunberri
, J. David Ballester-Berman, Ignacio Arganda-Carreras, Jose A. Fernandes-Salvador:
Automatic mapping of aquaculture activity in the Atlantic Ocean. Int. J. Appl. Earth Obs. Geoinformation 132: 104061 (2024)- [j31]Adrián Núñez-Marcos, Ignacio Arganda-Carreras:
Transformer-based fall detection in videos. Eng. Appl. Artif. Intell. 132: 107937 (2024) - [j30]Nerea Aranjuelo, Siyu Huang, Ignacio Arganda-Carreras, Luis Unzueta, Oihana Otaegui, Hanspeter Pfister, Donglai Wei:
Learning Gaze-aware Compositional GAN from Limited Annotations. Proc. ACM Comput. Graph. Interact. Tech. 7(2): 28:1-28:17 (2024) - [c24]Francisco J. Iriarte, Miguel E. Ortiz, Luis Unzueta, Javier Martínez, Javier Zaldivar, Ignacio Arganda-Carreras:
Multi-Level XAI-Driven MLOps Pipeline for the Adjustment of Fruit and Vegetable Classifiers. IS 2024: 1-6 - [c23]Daniel Franco-Barranco, Aitor González-Marfil, Ignacio Arganda-Carreras:
Self-supervised Vision Transformers for image-to-image labeling: a BiaPy solution to the LightMyCells Challenge. ISBI 2024: 1-5 - [c22]Aitor Iglesias, Mikel García, Nerea Aranjuelo, Ignacio Arganda-Carreras, Marcos Nieto:
Analysis of Point Cloud Domain Gap Effects for 3D Object Detection Evaluation. VISIGRAPP (4): VISAPP 2024: 278-285 - [i9]Nerea Aranjuelo, Siyu Huang, Ignacio Arganda-Carreras, Luis Unzueta, Oihana Otaegui, Hanspeter Pfister, Donglai Wei:
Learning Gaze-aware Compositional GAN. CoRR abs/2405.20643 (2024) - 2023
- [j29]Unai Elordi, Nerea Aranjuelo, Luis Unzueta, Jose Luis Apellaniz, Ignacio Arganda-Carreras:
Optimizing Video Analytics Deployment for In-Flight Cabin Readiness Verification. IEEE Access 11: 92985-92995 (2023) - [j28]Mohamad Abou Ali, Fadi Dornaika, Ignacio Arganda-Carreras:
White Blood Cell Classification: Convolutional Neural Network (CNN) and Vision Transformer (ViT) under Medical Microscope. Algorithms 16(11): 525 (2023) - [j27]Mohamad Abou Ali, Fadi Dornaika, Ignacio Arganda-Carreras:
Blood Cell Revolution: Unveiling 11 Distinct Types with 'Naturalize' Augmentation. Algorithms 16(12): 562 (2023) - [j26]Leander Lauenburg, Zudi Lin, Ruihan Zhang, Márcia dos Santos, Siyu Huang, Ignacio Arganda-Carreras, Edward S. Boyden, Hanspeter Pfister, Donglai Wei:
3D Domain Adaptive Instance Segmentation via Cyclic Segmentation GANs. IEEE J. Biomed. Health Informatics 27(8): 4018-4027 (2023) - [j25]Daniel Franco-Barranco, Zudi Lin, Won-Dong Jang, Xueying Wang, Qijia Shen, Wenjie Yin, Yutian Fan, Mingxing Li, Chang Chen, Zhiwei Xiong, Rui Xin, Hao Liu, Huai Chen, Zhili Li, Jie Zhao, Xuejin Chen, Constantin Pape, Ryan Conrad, Luke Nightingale, Joost de Folter, Martin L. Jones, Yanling Liu, Dorsa Ziaei, Stephan Huschauer, Ignacio Arganda-Carreras, Hanspeter Pfister, Donglai Wei:
Current Progress and Challenges in Large-Scale 3D Mitochondria Instance Segmentation. IEEE Trans. Medical Imaging 42(12): 3956-3971 (2023) - [c21]Lenka Backová, Guillermo Bengoetxea, Svana Rogalla, Daniel Franco-Barranco, Jérôme Solon, Ignacio Arganda-Carreras:
Modeling Wound Healing Using Vector Quantized Variational Autoencoders and Transformers. ISBI 2023: 1-5 - [c20]Daniel Franco-Barranco, Jesús A. Andrés-San Román, Pedro Gómez-Gálvez, Luis M. Escudero, Arrate Muñoz-Barrutia, Ignacio Arganda-Carreras:
BiaPy: a ready-to-use library for Bioimage Analysis Pipelines. ISBI 2023: 1-5 - 2022
- [j24]Daniel Franco-Barranco, Julio Pastor-Tronch, Aitor González-Marfil, Arrate Muñoz-Barrutia, Ignacio Arganda-Carreras:
Deep learning based domain adaptation for mitochondria segmentation on EM volumes. Comput. Methods Programs Biomed. 222: 106949 (2022) - [j23]Xabier Lekunberri, Jon Ruiz, Iñaki Quincoces, Fadi Dornaika, Ignacio Arganda-Carreras, Jose A. Fernandes:
Identification and measurement of tropical tuna species in purse seiner catches using computer vision and deep learning. Ecol. Informatics 67: 101495 (2022) - [j22]Adrián Núñez-Marcos, Gorka Azkune, Ignacio Arganda-Carreras:
Egocentric Vision-based Action Recognition: A survey. Neurocomputing 472: 175-197 (2022) - [j21]Daniel Franco-Barranco, Arrate Muñoz-Barrutia, Ignacio Arganda-Carreras:
Stable Deep Neural Network Architectures for Mitochondria Segmentation on Electron Microscopy Volumes. Neuroinformatics 20(2): 437-450 (2022) - [j20]Aitor Almeida, Unai Bermejo, Aritz Bilbao, Gorka Azkune, Unai Aguilera, Mikel Emaldi, Fadi Dornaika, Ignacio Arganda-Carreras:
A Comparative Analysis of Human Behavior Prediction Approaches in Intelligent Environments. Sensors 22(3): 701 (2022) - [d1]Leander Lauenburg, Zudi Lin, Ruihan Zhang, Márcia dos Santos, Siyu Huang, Ignacio Arganda-Carreras, Edward S. Boyden, Hanspeter Pfister, Donglai Wei:
NucExM Dataset for Nuclei Segmentation in Expansion Microscopy. IEEE DataPort, 2022
- [i8]Daniel Franco-Barranco, Julio Pastor-Tronch, Aitor González-Marfil, Arrate Muñoz-Barrutia, Ignacio Arganda-Carreras:
Deep learning based domain adaptation for mitochondria segmentation on EM volumes. CoRR abs/2202.10773 (2022) - [i7]Leander Lauenburg, Zudi Lin, Ruihan Zhang, Márcia dos Santos, Siyu Huang, Ignacio Arganda-Carreras, Edward S. Boyden, Hanspeter Pfister, Donglai Wei:
Instance Segmentation of Unlabeled Modalities via Cyclic Segmentation GAN. CoRR abs/2204.03082 (2022) - 2021
- [j19]Abdelmalik Moujahid, Fadi Dornaika, Ignacio Arganda-Carreras, Jorge Reta:
Efficient and compact face descriptor for driver drowsiness detection. Expert Syst. Appl. 168: 114334 (2021) - [j18]Unai Elordi, Chiara Lunerti, Luis Unzueta, Jon Goenetxea, Nerea Aranjuelo, Álvaro Bertelsen, Ignacio Arganda-Carreras:
Designing Automated Deployment Strategies of Face Recognition Solutions in Heterogeneous IoT Platforms. Inf. 12(12): 532 (2021) - [j17]Karim Hammoudi, Halim Benhabiles, Mahmoud Melkemi, Fadi Dornaika, Ignacio Arganda-Carreras, Dominique Collard, Arnaud Scherpereel:
Deep Learning on Chest X-ray Images to Detect and Evaluate Pneumonia Cases at the Era of COVID-19. J. Medical Syst. 45(7): 75 (2021) - [j16]Aitzol Elu, Gorka Azkune, Oier Lopez de Lacalle, Ignacio Arganda-Carreras, Aitor Soroa, Eneko Agirre:
Inferring spatial relations from textual descriptions of images. Pattern Recognit. 113: 107847 (2021) - [j15]Unai Elordi, Luis Unzueta, Jon Goenetxea, Sergio Sanchez-Carballido, Ignacio Arganda-Carreras, Oihana Otaegui:
Benchmarking Deep Neural Network Inference Performance on Serverless Environments With MLPerf. IEEE Softw. 38(1): 81-87 (2021) - [c19]Nerea Aranjuelo, Guus Engels, David Montero, Marcos Nieto, Ignacio Arganda-Carreras, Luis Unzueta, Oihana Otaegui:
Accurate 3D Object Detection from Point Cloud Data using Bird's Eye View Representations. IJCCI 2021: 246-253 - [c18]Unai Elordi, Álvaro Bertelsen, Luis Unzueta, Nerea Aranjuelo, Jon Goenetxea, Ignacio Arganda-Carreras:
Optimal deployment of face recognition solutions in a heterogeneous IoT platform for secure elderly care applications. KES 2021: 3204-3213 - [c17]Zudi Lin, Donglai Wei, Mariela D. Petkova, Yuelong Wu, Zergham Ahmed, Krishna Swaroop K, Silin Zou, Nils Wendt, Jonathan Boulanger-Weill, Xueying Wang, Nagaraju Dhanyasi, Ignacio Arganda-Carreras, Florian Engert, Jeff Lichtman, Hanspeter Pfister:
NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale. MICCAI (1) 2021: 164-174 - [c16]Donglai Wei, Kisuk Lee, Hanyu Li, Ran Lu, J. Alexander Bae, Zequan Liu, Lifu Zhang, Márcia dos Santos, Zudi Lin, Thomas D. Uram, Xueying Wang, Ignacio Arganda-Carreras, Brian Matejek, Narayanan Kasthuri, Jeff Lichtman, Hanspeter Pfister:
AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions. MICCAI (1) 2021: 175-185 - [c15]Unai Elordi, Luis Unzueta, Jon Goenetxea, Estíbaliz Loyo, Ignacio Arganda-Carreras, Oihana Otaegui:
On-demand Serverless Video Surveillance with Optimal Deployment of Deep Neural Networks. VISIGRAPP (4: VISAPP) 2021: 717-723 - [i6]Aitzol Elu, Gorka Azkune, Oier Lopez de Lacalle, Ignacio Arganda-Carreras, Aitor Soroa, Eneko Agirre:
Inferring spatial relations from textual descriptions of images. CoRR abs/2102.00997 (2021) - [i5]Daniel Franco-Barranco, Arrate Muñoz-Barrutia, Ignacio Arganda-Carreras:
Stable deep neural network architectures for mitochondria segmentation on electron microscopy volumes. CoRR abs/2104.03577 (2021) - [i4]Donglai Wei, Kisuk Lee, Hanyu Li, Ran Lu, J. Alexander Bae, Zequan Liu, Lifu Zhang, Márcia dos Santos, Zudi Lin, Thomas D. Uram, Xueying Wang, Ignacio Arganda-Carreras, Brian Matejek, Narayanan Kasthuri, Jeff Lichtman, Hanspeter Pfister:
AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions. CoRR abs/2107.05451 (2021) - [i3]Zudi Lin, Donglai Wei, Mariela D. Petkova, Yuelong Wu, Zergham Ahmed, Krishna Swaroop K, Silin Zou, Nils Wendt, Jonathan Boulanger-Weill, Xueying Wang, Nagaraju Dhanyasi, Ignacio Arganda-Carreras, Florian Engert, Jeff Lichtman, Hanspeter Pfister:
NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale. CoRR abs/2107.05840 (2021) - 2020
- [j14]Fadi Dornaika, Salah Eddine Bekhouche, Ignacio Arganda-Carreras:
Robust regression with deep CNNs for facial age estimation: An empirical study. Expert Syst. Appl. 141 (2020) - [j13]Fadi Dornaika, Kunwei Wang, Ignacio Arganda-Carreras, Anne Elorza, Abdelmalik Moujahid:
Toward graph-based semi-supervised face beauty prediction. Expert Syst. Appl. 142 (2020) - [j12]Sylvain Lempereur, Arnim Jenett, Elodie Machado, Ignacio Arganda-Carreras, Matthieu Simion, Pierre Affaticati, Jean-Stéphane Joly, Hugues Talbot:
Automated segmentation of thick confocal microscopy 3D images for the measurement of white matter volumes in zebrafish brains. Math. Morphol. Theory Appl. 4(1): 31-45 (2020) - [j11]Fadi Dornaika, Anne Elorza, Kunwei Wang, Ignacio Arganda-Carreras:
Image-based face beauty analysis via graph-based semi-supervised learning. Multim. Tools Appl. 79(3-4): 3005-3030 (2020) - [j10]Fadi Dornaika, Ignacio Arganda-Carreras, Oscar Serradilla:
Transfer learning and feature fusion for kinship verification. Neural Comput. Appl. 32(11): 7139-7151 (2020) - [j9]Jirí Borovec, Jan Kybic, Ignacio Arganda-Carreras, Dmitry V. Sorokin, Gloria Bueno, Alexander V. Khvostikov, Spyridon Bakas, Eric I-Chao Chang, Stefan Heldmann, Kimmo Kartasalo, Leena Latonen, Johannes Lotz, Michelle Noga, Sarthak Pati, Kumaradevan Punithakumar, Pekka Ruusuvuori, Andrzej Skalski, Nazanin Tahmasebi, Masi Valkonen, Ludovic Venet, Yizhe Wang, Nick Weiss, Marek Wodzinski, Yu Xiang, Yan Xu, Yan Yan, Paul A. Yushkevich, Shengyu Zhao, Arrate Muñoz-Barrutia:
ANHIR: Automatic Non-Rigid Histological Image Registration Challenge. IEEE Trans. Medical Imaging 39(10): 3042-3052 (2020) - [c14]Adrián Núñez-Marcos, Gorka Azkune, Eneko Agirre, Diego López-de-Ipiña, Ignacio Arganda-Carreras:
Using External Knowledge to Improve Zero-Shot Action Recognition in Egocentric Videos. ICIAR (1) 2020: 174-185 - [c13]Donglai Wei, Zudi Lin, Daniel Franco-Barranco, Nils Wendt, Xingyu Liu, Wenjie Yin, Xin Huang, Aarush Gupta, Won-Dong Jang, Xueying Wang, Ignacio Arganda-Carreras, Jeff W. Lichtman, Hanspeter Pfister:
MitoEM Dataset: Large-Scale 3D Mitochondria Instance Segmentation from EM Images. MICCAI (5) 2020: 66-76 - [c12]Maialen Stephens, Raúl San José Estépar, Jesús Ruiz-Cabello, Ignacio Arganda-Carreras, Iván Macía, Karen López-Linares:
MRI to CTA Translation for Pulmonary Artery Evaluation Using CycleGANs Trained with Unpaired Data. TIA@MICCAI 2020: 118-129 - [c11]Nerea Aranjuelo, Guus Engels, Luis Unzueta, Ignacio Arganda-Carreras, Marcos Nieto, Oihana Otaegui:
Robust 3D Object Detection from LiDAR Point Cloud Data with Spatial Information Aggregation. SOCO 2020: 813-823 - [c10]Guus Engels, Nerea Aranjuelo, Ignacio Arganda-Carreras, Marcos Nieto, Oihana Otaegui:
3D Object Detection from LiDAR Data using Distance Dependent Feature Extraction. VEHITS 2020: 289-300 - [i2]Guus Engels, Nerea Aranjuelo, Ignacio Arganda-Carreras, Marcos Nieto, Oihana Otaegui:
3D Object Detection From LiDAR Data Using Distance Dependent Feature Extraction. CoRR abs/2003.00888 (2020) - [i1]Karim Hammoudi, Halim Benhabiles, Mahmoud Melkemi, Fadi Dornaika, Ignacio Arganda-Carreras, Dominique Collard, Arnaud Scherpereel:
Deep Learning on Chest X-ray Images to Detect and Evaluate Pneumonia Cases at the Era of COVID-19. CoRR abs/2004.03399 (2020)
2010 – 2019
- 2019
- [j8]Fadi Dornaika, Anne Elorza, Kunwei Wang, Ignacio Arganda-Carreras:
Nonlinear, flexible, semisupervised learning scheme for face beauty scoring. J. Electronic Imaging 28(4): 043013 (2019) - [j7]Fadi Dornaika, Ignacio Arganda-Carreras, C. Belver:
Age estimation in facial images through transfer learning. Mach. Vis. Appl. 30(1): 177-187 (2019) - [c9]Halim Benhabiles, Karim Hammoudi, Ziheng Yang, Féryal Windal, Mahmoud Melkemi, Fadi Dornaika, Ignacio Arganda-Carreras:
Deep Learning based Detection of Hair Loss Levels from Facial Images. IPTA 2019: 1-6 - 2018
- [j6]Ignacio Arganda-Carreras, Tudor Manoliu, Nicolas Mazuras, Florian Schulze, Juan Eugenio Iglesias, Katja Bühler, Arnim Jenett, François Rouyer, Philippe Andrey:
A Statistically Representative Atlas for Mapping Neuronal Circuits in the Drosophila Adult Brain. Frontiers Neuroinformatics 12: 13 (2018) - [c8]Unai Elordi, Luis Unzueta, Ignacio Arganda-Carreras, Oihana Otaegui:
How Can Deep Neural Networks Be Generated Efficiently for Devices with Limited Resources? AMDO 2018: 24-33 - [c7]Nerea Aranjuelo, Luis Unzueta, Ignacio Arganda-Carreras, Oihana Otaegui:
Multimodal Deep Learning for Advanced Driving Systems. AMDO 2018: 95-105 - [c6]Fadi Dornaika, Fawzi Khattar, Jorge Reta, Ignacio Arganda-Carreras, M. Hernandez, Yassine Ruichek:
Image-Based Driver Drowsiness Detection. FFER/DLPR@ICPR 2018: 61-71 - [c5]Fadi Dornaika, Jorge Reta, Ignacio Arganda-Carreras, Abdelmalik Moujahid:
Driver Drowsiness Detection in Facial Images. IPTA 2018: 1-6 - 2017
- [j5]Ignacio Arganda-Carreras, Verena Kaynig, Curtis Rueden, Kevin W. Eliceiri, Johannes E. Schindelin, Albert Cardona, H. Sebastian Seung:
Trainable Weka Segmentation: a machine learning tool for microscopy pixel classification. Bioinform. 33(15): 2424-2426 (2017) - [j4]Adrián Núñez-Marcos, Gorka Azkune, Ignacio Arganda-Carreras:
Vision-Based Fall Detection with Convolutional Neural Networks. Wirel. Commun. Mob. Comput. 2017 (2017) - [c4]C. Belver, Ignacio Arganda-Carreras, Fadi Dornaika:
Evaluating Age Estimation Using Deep Convolutional Neural Nets. Computational Imaging 2017: 100-105 - [c3]Ignacio Arganda-Carreras, D. G. Gordon, S. Arganda, M. Beaudoin, J. F. A. Traniello:
Group-wise 3D registration based templates to study the evolution of ant worker neuroanatomy. ISBI 2017: 429-432 - 2016
- [j3]David Legland, Ignacio Arganda-Carreras, Philippe Andrey:
MorphoLibJ: integrated library and plugins for mathematical morphology with ImageJ. Bioinform. 32(22): 3532-3534 (2016) - [c2]C. Belver, Ignacio Arganda-Carreras, Fadi Dornaika:
Comparative Study of Human Age Estimation Based on Hand-Crafted and Deep Face Features. VAAM/FFER@ICPR 2016: 98-112 - 2015
- [j2]Axel Poulet, Ignacio Arganda-Carreras, David Legland, Aline V. Probst, Philippe Andrey, Christophe Tatout:
NucleusJ: an ImageJ plugin for quantifying 3D images of interphase nuclei. Bioinform. 31(7): 1144-1146 (2015) - 2014
- [j1]Jaza Gul-Mohammed, Ignacio Arganda-Carreras, Philippe Andrey, Vincent Galy, Thomas Boudier:
A generic classification-based method for segmentation of nuclei in 3D images of early embryos. BMC Bioinform. 15: 9 (2014)
2000 – 2009
- 2006
- [c1]Ignacio Arganda-Carreras, Carlos Oscar Sánchez Sorzano, Roberto Marabini, José María Carazo, Carlos Ortiz-de-Solorzano, Jan Kybic:
Consistent and Elastic Registration of Histological Sections Using Vector-Spline Regularization. CVAMIA 2006: 85-95
Coauthor Index
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