Ignacio Arganda-Carreras

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 60

Top Topics

Object Detection

Top Venues

Expert Syst. Appl.

Publications

Adrián Núñez-Marcos, Ignacio Arganda-Carreras
Transformer-based fall detection in videos. Eng. Appl. Artif. Intell. 132 (2024)
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 (2024)
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)
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) (2024)
Nerea Aranjuelo, Siyu Huang, Ignacio Arganda-Carreras, Luis Unzueta, Oihana Otaegui, Hanspeter Pfister, Donglai Wei
Learning Gaze-aware Compositional GAN. CoRR (2024)
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) (2023)
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 (2023)
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)
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) (2023)
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) (2023)
Mohamad Abou Ali, Fadi Dornaika, Ignacio Arganda-Carreras
Blood Cell Revolution: Unveiling 11 Distinct Types with 'Naturalize' Augmentation. Algorithms 16 (12) (2023)
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)
Daniel Franco-Barranco, Julio Pastor-Tronch, Aitor Gonzalez-Marfil, Arrate Muñoz-Barrutia, Ignacio Arganda-Carreras
Deep learning based domain adaptation for mitochondria segmentation on EM volumes. Comput. Methods Programs Biomed. 222 (2022)
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 (2022)
Daniel Franco-Barranco, Julio Pastor-Tronch, Aitor Gonzalez-Marfil, Arrate Muñoz-Barrutia, Ignacio Arganda-Carreras
Deep learning based domain adaptation for mitochondria segmentation on EM volumes. CoRR (2022)
Adrián Núñez-Marcos, Gorka Azkune, Ignacio Arganda-Carreras
Egocentric Vision-based Action Recognition: A survey. Neurocomputing 472 (2022)
Daniel Franco-Barranco, Arrate Muñoz-Barrutia, Ignacio Arganda-Carreras
Stable Deep Neural Network Architectures for Mitochondria Segmentation on Electron Microscopy Volumes. Neuroinformatics 20 (2) (2022)
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) (2022)
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 (2022)
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) (2021)
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 (2021)
Daniel Franco-Barranco, Arrate Muñoz-Barrutia, Ignacio Arganda-Carreras
Stable deep neural network architectures for mitochondria segmentation on electron microscopy volumes. CoRR (2021)
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)
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)
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 (2021)
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)
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)
Aitzol Elu, Gorka Azkune, Oier Lopez de Lacalle, Ignacio Arganda-Carreras, Aitor Soroa, Eneko Agirre
Inferring spatial relations from textual descriptions of images. CoRR (2021)
Unai Elordi, Alvaro 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)
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 (2021)
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) (2021)
Unai Elordi, Chiara Lunerti, Luis Unzueta, Jon Goenetxea, Nerea Aranjuelo, Alvaro Bertelsen, Ignacio Arganda-Carreras
Designing Automated Deployment Strategies of Face Recognition Solutions in Heterogeneous IoT Platforms. Inf. 12 (12) (2021)
Abdelmalik Moujahid, Fadi Dornaika, Ignacio Arganda-Carreras, Jorge Reta
Efficient and compact face descriptor for driver drowsiness detection. Expert Syst. Appl. 168 (2021)
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)
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)
Guus Engels, Nerea Aranjuelo, Ignacio Arganda-Carreras, Marcos Nieto, Oihana Otaegui
3D Object Detection From LiDAR Data Using Distance Dependent Feature Extraction. CoRR (2020)
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)
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)
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) (2020)
Fadi Dornaika, Ignacio Arganda-Carreras, O. Serradilla
Transfer learning and feature fusion for kinship verification. Neural Comput. Appl. 32 (11) (2020)
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) (2020)
Fadi Dornaika, Kunwei Wang, Ignacio Arganda-Carreras, Anne Elorza, Abdelmalik Moujahid
Toward graph-based semi-supervised face beauty prediction. Expert Syst. Appl. 142 (2020)
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)
Guus Engels, Nerea Aranjuelo, Ignacio Arganda-Carreras, Marcos Nieto, Oihana Otaegui
3D Object Detection from LiDAR Data using Distance Dependent Feature Extraction. VEHITS (2020)
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) (2020)
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 (2020)
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)
Fadi Dornaika, Ignacio Arganda-Carreras, C. Belver
Age estimation in facial images through transfer learning. Mach. Vis. Appl. 30 (1) (2019)
Fadi Dornaika, Anne Elorza, Kunwei Wang, Ignacio Arganda-Carreras
Nonlinear, flexible, semisupervised learning scheme for face beauty scoring. J. Electronic Imaging 28 (4) (2019)
Unai Elordi, Luis Unzueta, Ignacio Arganda-Carreras, Oihana Otaegui
How Can Deep Neural Networks Be Generated Efficiently for Devices with Limited Resources? AMDO (2018)
Fadi Dornaika, Fawzi Khattar, Jorge Reta, Ignacio Arganda-Carreras, M. Hernandez, Yassine Ruichek
Image-Based Driver Drowsiness Detection. FFER/DLPR@ICPR (2018)
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 (2018)
Nerea Aranjuelo, Luis Unzueta, Ignacio Arganda-Carreras, Oihana Otaegui
Multimodal Deep Learning for Advanced Driving Systems. AMDO (2018)
Fadi Dornaika, Jorge Reta, Ignacio Arganda-Carreras, Abdelmalik Moujahid
Driver Drowsiness Detection in Facial Images. IPTA (2018)
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)
C. Belver, Ignacio Arganda-Carreras, Fadi Dornaika
Evaluating Age Estimation Using Deep Convolutional Neural Nets. Computational Imaging (2017)
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) (2017)
Adrián Núñez-Marcos, Gorka Azkune, Ignacio Arganda-Carreras
Vision-Based Fall Detection with Convolutional Neural Networks. Wirel. Commun. Mob. Comput. 2017 (2017)
David Legland, Ignacio Arganda-Carreras, Philippe Andrey
MorphoLibJ: integrated library and plugins for mathematical morphology with ImageJ. Bioinform. 32 (22) (2016)
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)
Axel Poulet, Ignacio Arganda-Carreras, David Legland, Aline V. Probst, Philippe Andrey, Christophe Tatout
: an ImageJ plugin for quantifying 3D images of interphase nuclei. Bioinform. 31 (7) (2015)
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 (2014)
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)