Publications

Bouthaina Slika, Fadi Dornaika, Karim Hammoudi (2025). Multi-Score Prediction for Lung Infection Severity in Chest X-Ray Images. IEEE Transactions on Emerging Topics in Computational Intelligence.

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Fadi Dornaika, Sally El Hajjar, Jinan Charafeddine, Nagore Barrena (2025). Unified multi-view data clustering: Simultaneous learning of consensus coefficient matrix and similarity graph. Cognitive Computation.

Gloria Vázquez-Sebrango, Eduardo Anitua, Iván Macı́a, Ignacio Arganda-Carreras (2025). The role of artificial intelligence in implant dentistry: a systematic review. International Journal of Oral and Maxillofacial Surgery.

Daniel Franco-Barranco, Aitor González-Marfil, Albert Cardona, Arrate Muñoz-Barrutia, Ignacio Arganda-Carreras (2025). Super-Resolution Benchmarking for 3D Image-to-Image Fusion Problem. 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI).

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Fadi Dornaika, Jingjun Bi, Jinan Charafeddine, Huaiyuan Xiao (2025). Semi-supervised learning for multi-view and non-graph data using Graph Convolutional Networks. Neural Networks.

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Bouthaina Slika, Fadi Dornaika, Fares Bougourzi, Karim Hammoudi (2025). PViTGAtt-IP: Severity Quantification of Lung Infections in Chest X-rays and CT Scans via Parallel and Cross-Attended Encoders. IEEE Transactions on Big Data.

Bouthaina Slika, Fadi Dornaika, Karim Hammoudi (2025). Parallel VMamba and Attention-Based Pneumonia Severity Prediction from CXRs: A Robust Model with Segmented Lung Replacement Augmentation. Diagnostics.

Fadi Dornaika, Jingjun Bi, Jinan Charafeddine (2025). Leveraging Graph Convolutional Networks for Semi-supervised Learning in Multi-view Non-graph Data. Cognitive Computation.

Fitore Kusari, Lenka Backová, Dalibor Panek, Ales Benda, Zdenek Trachtulec (2025). Label-free metabolic fingerprinting of motile mammalian spermatozoa with subcellular resolution. BMC biology.

Danyang Sun, Fadi Dornaika, Nagore Barrena (2025). HSMix: Hard and soft mixing data augmentation for medical image segmentation. Information Fusion.

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Mohamad Abou Ali, Jinan Charafeddine, Fadi Dornaika, Ignacio Arganda-Carreras (2025). Enhancing Generalization and Mitigating Overfitting in Deep Learning for Brain Cancer Diagnosis from MRI. Applied Magnetic Resonance.

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Aitor González-Marfil, Estibaliz Gómez-De-Mariscal, Ignacio Arganda-Carreras (2025). DINOSim: Zero-Shot Object Detection and Semantic Segmentation on Electron Microscopy Images. bioRxiv.

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Srikrishna Narasimhan, Marı́a Eugenia Villar, Violette Chiara, Ignacio Arganda-Carreras, Sara Arganda, Magdalena Witek, Iago Sanmartín-Villar (2025). Complexity shapes uniqueness: Neuropil volumes and synaptic clusters shape behavioural plasticity under challenging environments in the invasive Argentine ants. bioRxiv.

Amélie L Godeau, Miquel Marin-Riera, Elise Trubuil, Svana Rogalla, Guillermo Bengoetxea, Lenka Backová, Thomas Pujol, Julien Colombelli, James Sharpe, Enrique Martin-Blanco, Jérôme Solon (2025). A transient contractile seam promotes epithelial sealing and sequential assembly of body segments. Nature Communications.

Israa Tartoussi, Fadi Dornaika, Pendar Alirezazadeh, Jihad El Jaam (2024). Deep Learning Image-Based Plant Disease Classification - A Review. 2024 International Conference on Computer and Applications (ICCA).

Nancy Kozah, Fadi Dornaika, Jinan Charafeddine, Jihad El Jaam (2024). Data Augmentation Techniques for Medical Image Segmentation - A Review. 2024 International Conference on Computer and Applications (ICCA).

Danyang Sun, Fadi Dornaika, Vinh Truong Hoang, Nagore Barrena (2024). Superpixel Mixing: A Data Augmentation Technique For Robust Deep Visual Recognition Models. 2024 IEEE International Conference on Image Processing (ICIP).

Fadi Dornaika, Sally El Hajjar (2024). An End-to-End Approach for Graph-Based Multi-View Data Clustering. IEEE Transactions on Big Data.

Unai Elordi, Miguel Ortiz-Huamani, Jorge Garcia-Castaño (2024). Enhancing mobile robot surveillance in restricted areas: an optimal visual perception methodology for preventive security. Artificial Intelligence for Security and Defence Applications II (SPIE).

Mikel De La Fuente, Paula Gonzalez, Izar Azpiroz, Mikel Maiza, Nagore Barrena, Marco Quartulli (2024). Pixel-Level Quality Indicator for Image Data Annotation. IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium.

Fadi Dornaika, Zoulfikar Ibrahim, Alirezah Bosaghzadeh (2024). Scalable and Inductive Semi-supervised Classifier with Sample Weighting Based on Graph Topology. ACM Trans. Knowl. Discov. Data.

Alejandro Garcia De La Santa Ramos, Javier Muguerza Rivero, David Lopez, Unai Elordi, Luis Unzueta, Arantxa Villanueva (2024). Unsupervised data labeling and incremental cross-domain training for enhanced hybrid eye gaze estimation. Proceedings of the 2024 Symposium on Eye Tracking Research and Applications, ETRA 2024, Glasgow, United Kingdom, June 4-7, 2024.

Adrián Núñez-Marcos, Ignacio Arganda-Carreras (2024). Transformer-based fall detection in videos. Engineering Applications of Artificial Intelligence.

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Fadi Dornaika, Sally El Hajjar, Jinan Charafeddine (2024). Towards unsupervised radiograph clustering for COVID-19: The use of graph-based multi-view clustering. Engineering Applications of Artificial Intelligence.

Mohamad Abou Ali, Fadi Dornaika, Ignacio Arganda-Carreras (2024). Towards Self-Conscious AI Using Deep ImageNet Models: Application for Blood Cell Classification. Machine Learning and Knowledge Extraction.

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Fadi Dornaika, Sally El Hajjar (2024). Towards a unified framework for graph-based multi-view clustering. Neural Networks.

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Daniel Franco-Barranco, Aitor González-Marfil, Ignacio Arganda-Carreras (2024). Self-supervised Vision Transformers for image-to-image labeling: a BiaPy solution to the LightMyCells Challenge. 2024 IEEE International Symposium on Biomedical Imaging (ISBI).

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Jingjun Bi, Fadi Dornaika (2024). Sample-weighted fused graph-based semi-supervised learning on multi-view data. Information Fusion.

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Mohamad Abou Ali, Fadi Dornaika, Ignacio Arganda-Carreras, Hussein Ali, Malak Karaouni (2024). Revolutionizing Skin Cancer Diagnosis: Unleashing AI Precision Through Deep Learning. International Conference on Smart Applications and Data Analysis.

Sally El Hajjar, Fadi Dornaika, Fahed Abdallah (2024). Recognizing and detecting COVID-19 in chest X-ray images using constrained multi-view spectral clustering. Progress in Artificial Intelligence.

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Bouthaina Slika, Fadi Dornaika, Karim Hammoudi (2024). Predicting Lung Infection Severity in Chest X-Ray Images Through Multi-score Assessment. Smart Applications and Data Analysis.

Fadi Dornaika, Zoulfikar Ibrahim, Alireza Bosaghzadeh (2024). Overcoming graph topology imbalance for inductive and scalable semi-supervised learning. Applied Soft Computing.

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Mohamad Abou Ali, Fadi Dornaika, Ignacio Arganda-Carreras, Hussein Ali, Malak Karaouni (2024). Naturalize revolution: unprecedented ai-driven precision in skin cancer classification using deep learning. BioMedInformatics.

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Fadi Dornaika, Sally El Hajjar (2024). Multi-view Data Clustering Through Consensus Graph and Data Representation Learning. Advances in Data Clustering: Theory and Applications.

Francisco Javier Iriarte, Miguel E Ortiz, Luis Unzueta, Javier Martı́nez, Javier Zaldivar, Ignacio Arganda-Carreras (2024). Multi-Level XAI-Driven MLOps Pipeline for the Adjustment of Fruit and Vegetable Classifiers. 2024 IEEE 12th International Conference on Intelligent Systems (IS).

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Pendar Alirezazadeh, Fadi Dornaika, Jinan Charafeddine (2024). Mises-Fisher similarity-based boosted additive angular margin loss for breast cancer classification. Artificial Intelligence Review.

Bouthaina Slika, Fadi Dornaika, Hamid Merdji, Karim Hammoudi (2024). Lung pneumonia severity scoring in chest X-ray images using transformers. Medical & Biological Engineering & Computing.

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Fadi Dornaika, Danyang Sun (2024). LGCOAMix: Local and Global Context-and-Object-Part-Aware Superpixel-Based Data Augmentation for Deep Visual Recognition. IEEE Transactions on Image Processing.

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Nerea Aranjuelo Ansa, Siyu Huang, Ignacio Arganda-Carreras, Luis Unzueta, Oihana Otaegui, Hanspeter Pfister, Donglai Wei (2024). Learning Gaze-aware Compositional GAN from Limited Annotations. Proceedings of the ACM on Computer Graphics and Interactive Techniques.

Danyang Sun, Fadi Dornaika, Jinan Charafeddine (2024). LCAMix: Local-and-contour aware grid mixing based data augmentation for medical image segmentation. Information Fusion.

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Zoulfikar Ibrahim, Alireza Bosaghzadeh, Fadi Dornaika (2024). Large Scale Graph Construction and Label Propagation. Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2024).

Najmeh Ziraki, Fadi Dornaika, Alireza Bosaghzadeh, Nagore Barrena (2024). Graph-Based Semi-supervised Learning for Multi-view Data Analysis. Advances in Data Clustering: Theory and Applications.

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Mohamad Abou Ali, Fadi Dornaika, Ignacio Arganda-Carreras, Rejdi Chmouri, Hussien Shayeh (2024). Enhancing MRI brain tumor classification: A comprehensive approach integrating real-life scenario simulation and augmentation techniques. Physica Medica.

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Fares Bougourzi, Fadi Dornaika, Amir Nakib, Abdelmalik Taleb-Ahmed (2024). Emb-trattunet: a novel edge loss function and transformer-CNN architecture for multi-classes pneumonia infection segmentation in low annotation regimes. Artificial Intelligence Review.

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Iván Hidalgo-Cenalmor, Joanna W Pylvänäinen, Mariana G. Ferreira, Craig T Russell, Alon Saguy, Ignacio Arganda-Carreras, Yoav Shechtman, Guillaume Jacquemet, Ricardo Henriques, Estibaliz Gómez-De-Mariscal (2024). DL4MicEverywhere: deep learning for microscopy made flexible, shareable and reproducible. Nature methods.

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Pendar Alirezazadeh, Fadi Dornaika, Abdelmalik Moujahid (2024). Discriminative Feature Learning Through Angular Margin-Based Softmax Losses for Breast Cancer Classification. Biophysical Reviews and Letters.

Danyang Sun, Fadi Dornaika (2024). Data augmentation for deep visual recognition using superpixel based pairwise image fusion. Information Fusion.

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Abdullah Baradaaji, Fadi Dornaika, Ignacio Arganda-Carreras (2024). Data and Label Graph Fusion for Semi-supervised Learning: Application to Image Categorization. Electronic Imaging.

Maria Al Jreidy, Joseph Constantin, Fadi Dornaika, Denis Hamad (2024). Clustering using graph convolution networks. Progress in Artificial Intelligence.

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Xabier Lekunberri, J David Ballester-Berman, Ignacio Arganda-Carreras, Jose a Fernandes-Salvador (2024). Automatic mapping of aquaculture activity in the Atlantic Ocean. International Journal of Applied Earth Observation and Geoinformation.

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Aitor Iglesias, Mikel García, Nerea Aranjuelo Ansa, Ignacio Arganda-Carreras, Marcos Nieto (2024). Analysis of Point Cloud Domain Gap Effects for 3D Object Detection Evaluation. Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP.

Davide Carnevali, Limei Zhong, Esther González-Almela, Carlotta Viana, Mikhail Rotkevich, Aiping Wang, Daniel Franco-Barranco, Aitor González-Marfil, Maria Victoria Neguembor, Alvaro Castells-Garcia, Ignacio Arganda-Carreras, Maria Pia Cosma (2024). A deep learning method that identifies cellular heterogeneity using nanoscale nuclear features. Nature Machine Intelligence.

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Fadi Dornaika, Abdullah Baradaaji, Jinan Charafeddine (2023). Semi-supervised Classification through Data and Label Graph Fusion. 2023 International Conference on Computer and Applications (ICCA).

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Fadi Dornaika, Jihad Jaam, Alireza Bosaghzadeh, Zoulfikar Ibrahim, Nagore Barrena (2023). Scalable Semi-Supervised Learning through Combined Anchor-based Graph and Flexible Manifold Embedding. 2023 International Conference on Computer and Applications (ICCA).

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Bouthaina Slika, Fadi Dornaika, Karim Hammoudi, Vinh Truong Hoang (2023). Automatic Quantification of Lung Infection Severity in Chest X-ray Images. 2023 IEEE Statistical Signal Processing Workshop (SSP).

Mohamad Abou Ali, Fadi Dornaika, Ignacio Arganda-Carreras (2023). White blood cell classification: Convolutional Neural Network (CNN) and Vision Transformer (ViT) under medical microscope. Algorithms.

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Asier Gómez-Olivencia, Diego López-Onaindia, Nohemi Sala, Antoine Balzeau, Ana Pantoja-Pérez, Ignacio Arganda-Carreras, Mikel Arlegi, Joseba Rios-Garaizar, Aida Gómez-Robles (2023). The human remains found in 1967 in Axlor: Still not convincingly Neandertals: A reply to González-Urquijo et al. American Journal of Biological Anthropology.

Fadi Dornaika, Sally El Hajjar (2023). Single phase multi-view clustering using unified graph learning and spectral representation. Information Sciences.

Unai Elordi, Nerea Aranjuelo Ansa, Luis Unzueta, Jose Luis Apellaniz, Ignacio Arganda-Carreras (2023). Optimizing Video Analytics Deployment for In-Flight Cabin Readiness Verification. IEEE Access.

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Fadi Dornaika, Danyang Sun, Karim Hammoudi, Jinan Charafeddine, Adnane Cabani, Chongsheng Zhang (2023). Object-centric Contour-aware Data Augmentation Using Superpixels of Varying Granularity. Pattern Recognition.

Andrea Macarulla Rodríguez, Luis Unzueta, Zeno Geradts, Marcel Worring, Unai Elordi (2023). Multi-Task Explainable Quality Networks for Large-Scale Forensic Facial Recognition. IEEE J. Sel. Top. Signal Process..

Lenka Backová, Guillermo Bengoetxea, Svana Rogalla, Daniel Franco-Barranco, Jérôme Solon, Ignacio Arganda-Carreras (2023). Modeling Wound Healing Using Vector Quantized Variational Autoencoders and Transformers. 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI).

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Nerea Aranjuelo Ansa, Jose Luis Apellaniz, Luis Unzueta, Jorge García, Sara García, Unai Elordi, Oihana Otaegui (2023). Leveraging Synthetic Data for DNN-Based Visual Analysis of Passenger Seats. SN Comput. Sci..

Zoulfikar Ibrahim, Alireza Bosaghzadeh, Fadi Dornaika (2023). Joint graph and reduced flexible manifold embedding for scalable semi-supervised learning. Artificial Intelligence Review.

Najmeh Ziraki, Alireza Bosaghzadeh, Fadi Dornaika, Zoulfikar Ibrahim, Nagore Barrena (2023). Inductive multi-view semi-supervised learning with a consensus graph. Cognitive Computation.

Oscar Sanisidro, Ignacio Arganda-Carreras, Juan L Cantalapiedra (2023). Folded: A toolkit to describe mammalian herbivore dentition from 2D images. Methods in Ecology and Evolution.

Fadi Dornaika, Sally El Hajjar (2023). Direct multi-view spectral clustering with consistent kernelized graph and convolved nonnegative representation. Artificial Intelligence Review.

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Fares Bougourzi, Fadi Dornaika, Nagore Barrena, Cosimo Distante, Abdelmalik Taleb-Ahmed (2023). CNN based facial aesthetics analysis through dynamic robust losses and ensemble regression. Applied Intelligence.

Pendar Alirezazadeh, Fadi Dornaika, Abdelmalik Moujahid (2023). Chasing a Better Decision Margin for Discriminative Histopathological Breast Cancer Image Classification. Electronics.

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Jesus a Andres-San Roman, Carmen Gordillo-Vazquez, Daniel Franco-Barranco, Laura Morato, Cecilia H Fernandez-Espartero, Gabriel Baonza, Antonio Tagua, Pablo Vicente-Munuera, Ana M Palacios, Marı́a P Gavilán, Fernando Martín-Belmonte, Valentina Annese, Pedro Gómez-Gálvez, Ignacio Arganda-Carreras, Luis M Escudero (2023). CartoCell, a high-content pipeline for 3D image analysis, unveils cell morphology patterns in epithelia. Cell Reports Methods.

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Pendar Alirezazadeh, Fadi Dornaika (2023). Boosted Additive Angular Margin Loss for breast cancer diagnosis from histopathological images. Computers in Biology and Medicine.

Mohamad Abou Ali, Fadi Dornaika, Ignacio Arganda-Carreras (2023). Blood cell revolution: Unveiling 11 distinct types with ‘Naturalize’ augmentation. Algorithms.

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Daniel Franco-Barranco, Jesús a Andrés-San Román, Pedro Gómez-Gálvez, Luis M Escudero, Arrate Muñoz-Barrutia, Ignacio Arganda-Carreras (2023). BiaPy: A ready-to-use library for bioimage analysis pipelines. 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI).

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Fadi Dornaika, Jingjun Bi, Chongsheng Zhang (2023). A unified deep semi-supervised graph learning scheme based on nodes re-weighting and manifold regularization. Neural Networks.

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Jingjun Bi, Fadi Dornaika (2023). A Comprehensive Deep Semi-supervised Graph Learning Approach Incorporating Node Re-weighting and Manifold Regularization. Proceedings of the 2023 International Conference on Advances in Artificial Intelligence and Applications, AAIA 2023, Wuhan, China, November 18-20, 2023.

Leander Lauenburg, Zudi Lin, Ruihan Zhang, Márcia Dos Santos, Siyu Huang, Ignacio Arganda-Carreras, Edward S. Boyden, Hanspeter Pfister, Donglai Wei (2023). 3D Domain Adaptive Instance Segmentation Via Cyclic Segmentation GANs. IEEE Journal of Biomedical and Health Informatics.

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Karim Hammoudi, Adnane Cabani, Bouthaina Slika, Halim Benhabiles, Fadi Dornaika, Mahmoud Melkemi (2022). SuperpixelGridMasks data augmentation: Application to precision health and other real-world data. Journal of Healthcare Informatics Research.

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Sara Arganda, Ignacio Arganda-Carreras, Darcy G. Gordon, Andrew P. Hoadley, Alfonso Pérez-Escudero, Martin Giurfa, James F. A. Traniello (2022). Statistical Atlases and Automatic Labeling Strategies to Accelerate the Analysis of Social Insect Brain Evolution. Frontiers in Ecology and Evolution.

Sally El Hajjar, Fadi Dornaika, Fahed Abdallah (2022). One-step multi-view spectral clustering with cluster label correlation graph. Information Sciences.

Sally El Hajjar, Fadi Dornaika, Fahed Abdallah, Hichem Omrani (2022). Multi-view Spectral Clustering via Integrating Label and Data Graph Learning. Image Analysis and Processing – ICIAP 2022.

Sally El Hajjar, Fadi Dornaika, Fahed Abdallah (2022). Multi-view spectral clustering via constrained nonnegative embedding. Information Fusion.

Adrián Núñez-Marcos, Gorka Azkune, Ignacio Arganda-Carreras (2022). Egocentric Vision-based Action Recognition: A survey. Neurocomputing.

Sally El Hajjar, Fadi Dornaika, Fahed Abdallah (2022). Detection of COVID-19 in X-Ray Images Using Constrained Multi-view Spectral Clustering. Smart Applications and Data Analysis.

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Pendar Alirezazadeh, Fadi Dornaika, Abdelmalik Moujahid (2022). Deep Learning with Discriminative Margin Loss for Cross-Domain Consumer-to-Shop Clothes Retrieval. Sensors.

Daniel Franco-Barranco, Julio Pastor-Tronch, Aitor González-Marfil, Arrate Muñoz-Barrutia, Ignacio Arganda-Carreras (2022). Deep learning based domain adaptation for mitochondria segmentation on EM volumes. Computer Methods and Programs in Biomedicine.

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Sally El Hajjar, Fadi Dornaika, Fahed Abdallah, Nagore Barrena (2022). Consensus graph and spectral representation for one-step multi-view kernel based clustering. Knowledge-Based Systems.

Estibaliz Gómez-De-Mariscal, Daniel Franco-Barranco, Arrate Muñoz-Barrutia, Ignacio Arganda-Carreras (2022). Building a Bioimage Analysis Workflow Using Deep Learning. Bioimage Data Analysis Workflows–Advanced Components and Methods.

Pendar Alirezazadeh, Fadi Dornaika, Abdelmalik Moujahid (2022). A deep learning loss based on additive cosine margin: Application to fashion style and face recognition. Applied Soft Computing.

Aitor Almeida, Unai Bermejo, Aritz Bilbao, Gorka Azkune, Unai Aguilera, Mikel Emaldi, Fadi Dornaika, Ignacio Arganda-Carreras (2022). A Comparative Analysis of Human Behavior Prediction Approaches in Intelligent Environments. Sensors.

Unai Elordi, Álvaro Bertelsen, Luis Unzueta, Nerea Aranjuelo Ansa, Jon Goenetxea, Ignacio Arganda-Carreras (2021). Optimal deployment of face recognition solutions in a heterogeneous IoT platform for secure elderly care applications. Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, Virtual Event / Szczecin, Poland, 8-10 September 2021.

Unai Elordi, Luis Unzueta, Jon Goenetxea, Estíbaliz Loyo, Ignacio Arganda-Carreras, Oihana Otaegui (2021). On-demand Serverless Video Surveillance with Optimal Deployment of Deep Neural Networks. Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2021, Volume 4: VISAPP, Online Streaming, February 8-10, 2021.

Markéta Dalecká, Ján Sabó, Lenka Backová, Daniel Rösel, Jan Brábek, Aleš Benda, Ondřej Tolde (2021). Invadopodia Structure in 3D Environment Resolved by Near-Infrared Branding Protocol Combining Correlative Confocal and FIB-SEM Microscopy. International Journal of Molecular Sciences.

Aitzol Elu, Gorka Azkune, Oier Lopez De Lacalle, Ignacio Arganda-Carreras, Aitor Soroa, Eneko Agirre (2021). Inferring spatial relations from textual descriptions of images. Pattern Recognition.

Xabier Lekunberri, Jon Ruiz, Iñaki Quincoces, Fadi Dornaika, Ignacio Arganda-Carreras, Jose a Fernandes (2021). Identification and measurement of tropical tuna species in purse seiner catches using computer vision and deep learning. Ecological Informatics.

Adrián Núñez-Marcos, Gorka Azkune, Ignacio Arganda-Carreras (2021). Exploiting Egocentric Cues for Action Recognition for Ambient Assisted Living Applications. Emerging Technologies in Biomedical Engineering and Sustainable TeleMedicine.

Jon Goenetxea, Luis Unzueta, Unai Elordi, Oihana Otaegui, Fadi Dornaika (2021). Efficient Multi-task based Facial Landmark and Gesture Detection in Monocular Images. Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2021, Volume 5: VISAPP, Online Streaming, February 8-10, 2021.

Abdelmalik Moujahid, Fadi Dornaika, Ignacio Arganda-Carreras, Jorge Reta (2021). Efficient and compact face descriptor for driver drowsiness detection. Expert Systems with Applications.

Unai Elordi, Chiara Lunerti, Luis Unzueta, Jon Goenetxea, Nerea Aranjuelo Ansa, Álvaro Bertelsen, Ignacio Arganda-Carreras (2021). Designing Automated Deployment Strategies of Face Recognition Solutions in Heterogeneous IoT Platforms. Inf..

Karim Hammoudi, Halim Benhabiles, Mahmoud Melkemi, Fadi Dornaika, Ignacio Arganda-Carreras, Dominique Collard, Arnaud Scherpereel (2021). Deep learning on chest x-ray images to detect and evaluate pneumonia cases at the era of covid-19. Journal of Medical Systems.

Nerea Aranjuelo Ansa, Jorge García, Luis Unzueta, Sara García, Unai Elordi, Oihana Otaegui (2021). Building Synthetic Simulated Environments for Configuring and Training Multi-camera Systems for Surveillance Applications. Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2021, Volume 5: VISAPP, Online Streaming, February 8-10, 2021.

Unai Elordi, Luis Unzueta, Jon Goenetxea, Sergio Sanchez-Carballido, Ignacio Arganda-Carreras, Oihana Otaegui (2021). Benchmarking Deep Neural Network Inference Performance on Serverless Environments With MLPerf. IEEE Softw..

Romain F Laine, Ignacio Arganda-Carreras, Ricardo Henriques, Guillaume Jacquemet (2021). Avoiding a replication crisis in deep-learning-based bioimage analysis. Nature Methods.

Fadi Dornaika, Kunwei Wang, Ignacio Arganda-Carreras, Anne Elorza, Abdelmalik Moujahid (2020). Toward graph-based semi-supervised face beauty prediction. Expert Systems with Applications.

Fadi Dornaika, Salah Eddine Bekhouche, Ignacio Arganda-Carreras (2020). Robust regression with deep CNNs for facial age estimation: An empirical study. Expert Systems with Applications.

Fadi Dornaika, A Elorza, K Wang, Ignacio Arganda-Carreras (2020). Image-based face beauty analysis via graph-based semi-supervised learning. Multimedia Tools and Applications.

Alberto Perez-Alvarez, Brenna C Fearey, Ryan J O’Toole, Wei Yang, Ignacio Arganda-Carreras, Paul J Lamothe-Molina, Benjamien Moeyaert, Manuel a Mohr, Lauren C Panzera, Christian Schulze, Eric R Schreiter, J Simon Wiegert, Christine E Gee, Michael B Hoppa, Thomas G Oertner (2020). Freeze-frame imaging of synaptic activity using SynTagMA. Nature communications.

Luis Unzueta, Sandra Garcia, Jorge García, Valentin Corbin, Nerea Aranjuelo Ansa, Unai Elordi, Oihana Otaegui, Maxime Danielli (2020). Building a Camera-based Smart Sensing System for Digitalized On-demand Aircraft Cabin Readiness Verification. Proceedings of the International Conference on Robotics, Computer Vision and Intelligent Systems, ROBOVIS 2020, Budapest, Hungary, November 4-6, 2020.

Admin (2019). An example preprint / working paper.

PDF Code Dataset Poster Video Source Document Custom Link

Anne Olazabal-Herrero, Maria Sendino, Ignacio Arganda-Carreras, Jose Antonio Rodrı́guez (2019). WDR20 regulates shuttling of the USP12 deubiquitinase complex between the plasma membrane, cytoplasm and nucleus. European journal of cell biology.

Fadi Dornaika, Ignacio Arganda-Carreras, Oscar Serradilla (2019). Transfer learning and feature fusion for kinship verification. Neural Computing and Applications.

Fadi Dornaika, Anne Elorza, Kunwei Wang, Ignacio Arganda-Carreras (2019). Nonlinear, flexible, semisupervised learning scheme for face beauty scoring. Journal of Electronic Imaging.

Lamiae Abdeladim, Katherine S Matho, Solène Clavreul, Pierre Mahou, Jean-Marc Sintes, Xavier Solinas, Ignacio Arganda-Carreras, Stephen G Turney, Jeff W Lichtman, Anatole Chessel, Alexis-Pierre Bemelmans, Karine Loulier, Willy Supatto, Jean Livet, Emmanuel Beaurepaire (2019). Multicolor multiscale brain imaging with chromatic multiphoton serial microscopy. Nature communications.

Fadi Dornaika, Fawzi Khattar, Jorge Reta, Ignacio Arganda-Carreras, María C Hernandez, Yassine Ruichek (2019). Image-Based Driver Drowsiness Detection. Video Analytics. Face and Facial Expression Recognition.

Darcy Greer Gordon, Alejandra Zelaya, Ignacio Arganda-Carreras, Sara Arganda, James FA Traniello (2019). Division of labor and brain evolution in insect societies: Neurobiology of extreme specialization in the turtle ant Cephalotes varians. PLoS One.

Fadi Dornaika, Ignacio Arganda-Carreras, Carlos Belver (2019). Age estimation in facial images through transfer learning. Machine Vision and Applications.

Nerea Aranjuelo Ansa, Luis Unzueta, Ignacio Arganda-Carreras, Oihana Otaegui (2018). Multimodal Deep Learning for Advanced Driving Systems. Articulated Motion and Deformable Objects.

Unai Elordi, Luis Unzueta, Ignacio Arganda-Carreras, Oihana Otaegui (2018). How Can Deep Neural Networks Be Generated Efficiently for Devices with Limited Resources?. Articulated Motion and Deformable Objects - 10th International Conference, AMDO 2018, Palma de Mallorca, Spain, July 12-13, 2018, Proceedings.

Deeksha Malhan, Matthias Muelke, Sebastian Rosch, Annemarie Barbara Schaefer, Felix Merboth, David Weisweiler, Christian Heiss, Ignacio Arganda-Carreras, Thaqif El Khassawna (2018). An optimized plugin to perform automated histomorphometry of bone parameters. Frontiers in Endocrinology.

Ignacio Arganda-Carreras, Tudor Manoliu, Nicolas Mazuras, Florian Schulze, Juan E Iglesias, Katja Bühler, Arnim Jenett, François Rouyer, Philippe Andrey (2018). A Statistically Representative Atlas for Mapping Neuronal Circuits in the Drosophila Adult Brain. Frontiers in neuroinformatics.

Adrián Núñez-Marcos, Gorka Azkune, Ignacio Arganda-Carreras (2017). Vision-Based Fall Detection with Convolutional Neural Networks. Wireless Communications and Mobile Computing.

Ignacio Arganda-Carreras, Verena Kaynig, Curtis Rueden, Kevin W Eliceiri, Johannes Schindelin, Albert Cardona, H Sebastian Seung (2017). Trainable Weka Segmentation: a machine learning tool for microscopy pixel classification. Bioinformatics.

Carlos Belver, Ignacio Arganda-Carreras, Fadi Dornaika (2017). Evaluating Age Estimation Using Deep Convolutional Neural Nets. Electronic Imaging.

Ignacio Arganda-Carreras, Philippe Andrey (2017). Designing Image Analysis Pipelines in Light Microscopy: A Rational Approach. Light Microscopy: Methods and Protocols.

David Legland, Ignacio Arganda-Carreras, Philippe Andrey (2016). MorphoLibJ: integrated library and plugins for mathematical morphology with ImageJ. Bioinformatics.

Carlos Belver, Ignacio Arganda-Carreras, Fadi Dornaika (2016). Comparative Study of Human Age Estimation Based on Hand-Crafted and Deep Face Features. Video Analytics. Face and Facial Expression Recognition and Audience Measurement.

Fadi Dornaika, Ammar Assoum, Abdelmalik Moujahid, Ignacio Arganda-Carreras (2016). An Empirical Study of Global Descriptors for Image-based Localization in Dense Urban Scenes. International Journal of Sensors Wireless Communications and Control.

Javier Cabrera, Fernando E. Díaz-Manzano, Marta Barcala, Ignacio Arganda-Carreras, Janice De Almeida-Engler, Gilbert Engler, Carmen Fenoll, Carolina Escobar (2015). Phenotyping nematode feeding sites: three-dimensional reconstruction and volumetric measurements of giant cells induced by root-knot nematodes in Arabidopsis. New Phytologist.

Axel Poulet, Ignacio Arganda-Carreras, David Legland, Aline v Probst, Philippe Andrey, Christophe Tatout (2015). NucleusJ: an ImageJ plugin for quantifying 3D images of interphase nuclei. Bioinformatics.

Yongsoo Kim, Kannan Umadevi Venkataraju, Kith Pradhan, Carolin Mende, Julian Taranda, Srinivas C Turaga, Ignacio Arganda-Carreras, Lydia Ng, Michael J Hawrylycz, Kathleen S Rockland, H Sebastian Seung, Pavel Osten (2015). Mapping Social Behavior-Induced Brain Activation at Cellular Resolution in the Mouse. Cell reports.

Leonardo De-Maeztu, Unai Elordi, Marcos Nieto, Javier Barandiarán, Oihana Otaegui (2015). A temporally consistent grid-based visual odometry framework for multi-core architectures. J. Real Time Image Process..

Jaza Gul-Mohammed, Ignacio Arganda-Carreras, Philippe Andrey, Vincent Galy, Thomas Boudier (2014). A generic classification-based method for segmentation of nuclei in 3D images of early embryos. BMC bioinformatics.

, Albert and Saalfeld, , Stephan and Schindelin, , Johannes and Arganda-Carreras, , Ignacio and Preibisch, , Stephan and Longair, , Mark and Tomancak, , Pavel and Hartenstein, , Volker and Douglas, , Rodney J. Cardona (2012). TrakEM2 Software for Neural Circuit Reconstruction. PLoS ONE.

Johannes Schindelin, Ignacio Arganda-Carreras, Erwin Frise, Verena Kaynig, Mark Longair, Tobias Pietzsch, Stephan Preibisch, Curtis Rueden, Stephan Saalfeld, Benjamin Schmid, Jean-Yves Tinevez, Daniel James White, Volker Hartenstein, Kevin Eliceiri, Pavel Tomancak, Albert Cardona (2012). Fiji: an open-source platform for biological-image analysis. Nature Methods.

Timothy Ragan, Lolahon R. Kadiri, Kannan Umadevi Venkataraju, Karsten Bahlmann, Julian Taranda, Ignacio Arganda-Carreras, Jason Sutin, H. Sebastian Seung, Pavel Osten (2012). Serial two-photon tomography: an automated method for ex-vivo mouse brain imaging. Nature Methods.

Michael Doube, Michal M. Klosowski, Ignacio Arganda-Carreras, Fabrice P. Cordelieres, Robert P. Dougherty, Jonathan S. Jackson, Benjamin Schmid, John R. Hutchinson, Sandra J. Shefelbine (2010). BoneJ: Free and extensible bone image analysis in ImageJ. BONE.

Ignacio Arganda-Carreras, Rodrigo Fernandez-Gonzalez, Arrate Muñoz-Barrutia, Carlos Ortiz-De-Solorzano (2010). 3D Reconstruction of Histological Sections: Application to Mammary Gland Tissue. Microscopy Research and Technique.

Albert Cardona, Stephan Saalfeld, Ignacio Arganda-Carreras, Wayne Pereanu, Johannes Schindelin, Volker Hartenstein (2010). Identifying Neuronal Lineages of Drosophila by Sequence Analysis of Axon Tracts. Journal of Neuroscience.

Ignacio Arganda-Carreras, Carlos ~O.~S. Sorzano, Philippe Thévenaz, Arrate Muñoz-Barrutia, Jan Kybic, Roberto Marabini, Jose Maria Carazo, Carlos Ortiz-De-Solorzano (2010). Non-rigid consistent registration of 2D image sequences. Physics in Medicine and Biology.

Carlos ~O.~S. Sorzano, Ignacio Arganda-Carreras, Philippe Thévenaz, Ana Beloso, Gracia Morales, Israel Valdes, Carmen Perez-Garcia, Carmen Castillo, Elisa Garrido, Michael Unser (2008). Elastic Image Registration of 2D gels for differential and repeatability studies. Proteomics.

Ignacio Arganda-Carreras, Carlos ~O.~S. Sorzano, Roberto Marabini, Jose Maria Carazo, Carlos Ortiz-De-Solorzano, Jan Kybic (2006). Consistent and Elastic Registration of Histological Sections Using Vector-Spline Regularization. Computer Vision Approaches to Medical Image Analysis.