Ignacio Arganda-Carreras

Ikerbasque Research Associate, UPV/EHU

Computer Science and Artificial Intelligence Department at the University of the Basque Country (UPV/EHU).

Research line:

Biomedical image processing and computer vision.

Previous research experience as Graduate researcher at the Bioimaging Group in the Lawrence Berkeley National Laboratory, Berkeley, California, USA. Visiting researcher at the Centre for Machine Perception in the Czech Technical University in Prague, Czech Republic. Visiting researcher in the Center for Applied Medical Research, Universidad de Navarra in Pamplona, Spain. Research technician at the Institute of Neuroinformatics, University of Zurich (UZH) / Swiss Federation of Technology (ETH), Switzerland. Postdoctoral fellow at the Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology in Cambridge, Massachusetts, USA. Postdoctoral fellow at the Modeling and digital imaging lab, Institute Jean-Pierre Bourgin, INRA-AgroParisTech, Versailles, France.

Doctor in Computer Science and Telecommunications (2009) from Universidad Autonoma de Madrid, Spain.

2024

Article / Towards self-conscious AI using deep ImageNet models: Application to blood cell classification

Machine Learning and Knowledge Extraction

Abou Ali, M.; Dornaika, F.; Arganda-Carreras, I.;

Article / Enhancing MRI brain tumor classification: A comprehensive approach integrating real-life scenario simulation and augmentation techniques

PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS

Abou Ali, M.; Dornaika, F.; Arganda-Carreras, Chmouri, R.; Shayeh, H.

Article / Enhancing Generalization and Mitigating Overfitting in Deep Learning for Brain Cancer Diagnosis from MRI

Applied Magnetic Resonance

Abou Ali, M.; Dornaika, F.; Arganda-Carreras, I.; Charafeddine, J.

Article / Transformer-based fall detection in videos

Engineering Applications of Artificial Intelligence

Núñez-Marcos, A.; Arganda-Carreras, I.

Article / Naturalize Revolution: Unprecedented AI-Driven Precision in Skin Cancer Classification Using Deep Learning

BioMedInformatics

Abou Ali, M.; Dornaika, F.; Arganda-Carreras, I.; Ali, H.; Karaouni, M.

Article / Automatic mapping of aquaculture activity in the Atlantic Ocean

International Journal of Applied Earth Observation and Geoinformation

Lekunberri, X.; David Ballester-Berman, J.; Arganda-Carreras, I.; Fernandes-Salvador, J.A.

Article / A deep learning method that identifies cellular heterogeneity using nanoscale nuclear features

Nature Machine Intelligence

Carnevali, D.; Zhong, L.; González-Almela, E.; Viana, C.; Rotkevich, M.; Wang, A.; Franco-Barranco, D.; Gonzalez-Marfil, A.; Neguembor, M.V.; Castells-Garcia, A.; Arganda-Carreras, I.; Cosma, M.P.

Letter / DL4MicEverywhere: deep learning for microscopy made flexible, shareable and reproducible

Nature Methods

Hidalgo-Cenalmor, I.; Pylvänäinen, J.W.; G. Ferreira, M.; Russell, C.T.; Saguy, A.; Arganda-Carreras, I.; Shechtman, Y.; Ouyang, W.; Galinova, V.; Zulueta-Coarasa, T.; Seifi, M.; Hartley, M.; Ferreira, M.G.; Deschamps, J.; Jug, F.; Lundberg, E.; Pape, C.; Barcelo, C.F.; Serrano-Solano, B.; Muñoz-Barrutia, A.; Jacquemet, G.; Henriques, R.; Gómez-de-Mariscal, E.

2023

Article / 3D Domain Adaptive Instance Segmentation via Cyclic Segmentation GANs

IEEE Journal of Biomedical and Health Informatics

Lauenburg, L.; Lin, Z.; Zhang, R.; Santos, M.d.; Huang, S.; Arganda-Carreras, I.; Boyden, E.S.; Pfister, H.; Wei, D.

Article / Folded: A toolkit to describe mammalian herbivore dentition from 2D images

Methods in Ecology and Evolution

Sanisidro, O.; Arganda-Carreras, I.; Cantalapiedra, J.L.

Article / CartoCell, a high-content pipeline for 3D image analysis, unveils cell morphology patterns in epithelia

Cell Reports Methods

Andrés-San Román, J.A.; Gordillo-Vázquez, C.; Franco-Barranco, D.; Morato, L.; Fernández-Espartero, C.H.; Baonza, G.; Tagua, A.; Vicente-Munuera, P.; Palacios, A.M.; Gavilán, M.P.; Martín-Belmonte, F.; Annese, V.; Gómez-Gálvez, P.; Arganda-Carreras, I.; Escudero, L.M.

Article / Current Progress and Challenges in Large-Scale 3D Mitochondria Instance Segmentation

IEEE Transactions on Medical Imaging

Franco-Barranco, D.; Lin, Z.; Jang, W.D.; Wang, X.; Shen, Q.; Yin, W.; Fan, Y.; Li, M.; Chen, C.; Xiong, Z.; Xin, R.; Liu, H.; Chen, H.; Li, Z.; Zhao, J.; Chen, X.; Pape, C.; Conrad, R.; Nightingale, L.; De Folter, J.; Jones, M.L.; Liu, Y.; Ziaei, D.; Huschauer, S.; Arganda-Carreras, I.; Pfister, H.; Wei, D.

Article / Optimizing Video Analytics Deployment for In-Flight Cabin Readiness Verification

IEEE Access

Elordi, U.; Aranjuelo, N.; Unzueta, L.; Apellaniz, J.L.; Arganda-Carreras, I.

Article / White Blood Cell Classification: Convolutional Neural Network (CNN) and Vision Transformer (ViT) under Medical Microscope

Algorithms

Abou Ali, M.; Dornaika, F.; Arganda-Carreras, I.

Article / Blood Cell Revolution: Unveiling 11 Distinct Types with ‘Naturalize’ Augmentation

Algorithms

Abou Ali, M.; Dornaika, F.; Arganda-Carreras, I.

Letter / The human remains found in 1967 in Axlor: Still not convincingly Neandertals: A reply to González-Urquijo et al

American Journal of Biological Anthropology

Gómez-Olivencia, A.; López-Onaindia, D.; Sala, N.; Balzeau, A.; Pantoja-Pérez, A.; Arganda-Carreras, I.; Arlegi, M.; Rios-Garaizar, J.; Gómez-Robles, A.

2022

Chapter / Building a Bioimage Analysis Workflow Using Deep Learning

Bioimage Data Analysis Workflows‒Advanced Components and Methods

Estibaliz Gómez-de-Mariscal, Daniel Franco-Barranco, Arrate Muñoz-Barrutia, Ignacio Arganda-Carreras

Article / Identification and measurement of tropical tuna species in purse seiner catches using computer vision and deep learning

Ecological Informatics

Lekunberri, X.; Ruiz, J.; Quincoces, I.; Dornaika, F.; Arganda-Carreras, I.; Fernandes, J.A.

Article / A Comparative Analysis of Human Behavior Prediction Approaches in Intelligent Environments

Sensors

Almeida, A.; Bermejo, U.; Bilbao, A.; Azkune, G.; Aguilera, U.; Emaldi, M.; Dornaika, F.; Arganda-Carreras, I.

Article / A quantitative biophysical principle to explain the 3D cellular connectivity in curved epithelia

Cell Systems

Gómez-Gálvez, P.; Vicente-Munuera, P.; Anbari, S.; Tagua, A.; Gordillo-Vázquez, C.; Andrés-San Román, J.A.; Franco-Barranco, D.; Palacios, A.M.; Velasco, A.; Capitán-Agudo, C.; Grima, C.; Annese, V.; Arganda-Carreras, I.; Robles, R.; Márquez, A.; Buceta, J.; Escudero, L.M.

Article / Deep learning based domain adaptation for mitochondria segmentation on EM volumes

Computer Methods and Programs in Biomedicine

Franco-Barranco, D.; Pastor-Tronch, J.; González-Marfil, A.; Muñoz-Barrutia, A.; Arganda-Carreras, I.

Article / Stable Deep Neural Network Architectures for Mitochondria Segmentation on Electron Microscopy Volumes

Neuroinformatics

Franco-Barranco, D.; Muñoz-Barrutia, A.; Arganda-Carreras, I.

Article / Brain virtual histology with X-ray phase-contrast tomography Part II: 3D morphologies of amyloid-β plaques in Alzheimer's disease models

Biomedical Optics Express

Chourrout, M.; Roux, M.; Boisvert, C.; Gislard, C.; Legland, D.; Arganda-Carreras, I.; Olivier, C.; Peyrin, F.; Boutin, H.; Rama, N.; Baron, T.; Meyronet, D.; Brun, E.; Rositi, H.; Wiart, M.; Chauveau, F.

Article / Statistical Atlases and Automatic Labeling Strategies to Accelerate the Analysis of Social Insect Brain Evolution

Frontiers in Ecology and Evolution

Arganda, S.; Arganda-Carreras, I.; Gordon, D.G.; Hoadley, A.P.; Pérez-Escudero, A.; Giurfa, M.; Traniello, J.F.A.

Letter / The human remains found in 1967 in Axlor: Still not convincingly Neandertals: A reply to González-Urquijo et al

American Journal of Biological Anthropology

Asier Gómez-Olivencia, Diego López-Onaindia, Nohemi Sala, Antoine Balzeau, Ana Pantoja-Pérez, Ignacio Arganda-Carreras, Mikel Arlegi, Joseba Rios-Garaizar, Aida Gómez-Robles

Short Survey / Egocentric Vision-based Action Recognition: A survey

Neurocomputing

Núñez-Marcos, A.; Azkune, G.; Arganda-Carreras, I.

2021

Chapter / Exploiting Egocentric Cues for Action Recognition for Ambient Assisted Living Applications

Emerging Technologies in Biomedical Engineering and Sustainable TeleMedicine

Adrián Núñez-Marcos, Gorka Azkune, Ignacio Arganda-Carreras

Article / Benchmarking Deep Neural Network Inference Performance on Serverless Environments with MLPerf

IEEE Software

Elordi, U.; Unzueta, L.; Goenetxea, J.; Sanchez-Carballido, S.; Arganda-Carreras, I.; Otaegui, O.

Article / Deep Learning on Chest X-ray Images to Detect and Evaluate Pneumonia Cases at the Era of COVID-19

Journal of Medical Systems

Hammoudi, K.; Benhabiles, H.; Melkemi, M.; Dornaika, F.; Arganda-Carreras, I.; Collard, D.; Scherpereel, A.

Article / Efficient and compact face descriptor for driver drowsiness detection

Expert Systems with Applications

Moujahid, A.; Dornaika, F.; Arganda-Carreras, I.; Reta, J.

Article / Designing automated deployment strategies of face recognition solutions in heterogeneous iot platforms

Information (Switzerland)

Elordi, U.; Lunerti, C.; Unzueta, L.; Goenetxea, J.; Aranjuelo, N.; Bertelsen, A.; Arganda-Carreras, I.

Article / Inferring spatial relations from textual descriptions of images

Pattern Recognition

Elu, A.; Azkune, G.; de Lacalle, O.L.; Arganda-Carreras, I.; Soroa, A.; Agirre, E.

Note / Avoiding a replication crisis in deep-learning-based bioimage analysis

Nature Methods

Laine, R.F.; Arganda-Carreras, I.; Henriques, R.; Jacquemet, G.

2020

Article / Transfer learning and feature fusion for kinship verification

Neural Computing and Applications

Dornaika, F.; Arganda-Carreras, I.; Serradilla, O.

Article / Toward graph-based semi-supervised face beauty prediction

Expert Systems with Applications

Dornaika, F.; Wang, K.; Arganda-Carreras, I.; Elorza, A.; Moujahid, A.

Article / Robust regression with deep CNNs for facial age estimation: An empirical study

Expert Systems with Applications

Dornaika, F.; Bekhouche, S.E.; Arganda-Carreras, I.

Article / Image-based face beauty analysis via graph-based semi-supervised learning

Multimedia Tools and Applications

Dornaika, F.; Elorza, A.; Wang, K.; Arganda-Carreras, I.

Article / Freeze-frame imaging of synaptic activity using SynTagMA

Nature Communications

Perez-Alvarez, A.; Fearey, B.C.; O’Toole, R.J.; Yang, W.; Arganda-Carreras, I.; Lamothe-Molina, P.J.; Moeyaert, B.; Mohr, M.A.; Panzera, L.C.; Schulze, C.; Schreiter, E.R.; Wiegert, J.S.; Gee, C.E.; Hoppa, M.B.; Oertner, T.G.

Article / ANHIR: Automatic Non-Rigid Histological Image Registration Challenge

IEEE Transactions on Medical Imaging

Borovec, J.; Kybic, J.; Arganda-Carreras, I.; Sorokin, D.V.; Bueno, G.; Khvostikov, A.V.; Bakas, S.; Chang, E.I.C.; Heldmann, S.; Kartasalo, K.; Latonen, L.; Lotz, J.; Noga, M.; Pati, S.; Punithakumar, K.; Ruusuvuori, P.; Skalski, A.; Tahmasebi, N.; Valkonen, M.; Venet, L.; Wang, Y.; Weiss, N.; Wodzinski, M.; Xiang, Y.; Xu, Y.; Yan, Y.; Yushkevich, P.; Zhao, S.; Munõz-Barrutia, A.

Article / The human remains from Axlor (Dima, Biscay, northern Iberian Peninsula)

American Journal of Physical Anthropology

Gómez-Olivencia, A.; López-Onaindia, D.; Sala, N.; Balzeau, A.; Pantoja-Pérez, A.; Arganda-Carreras, I.; Arlegi, M.; Rios-Garaizar, J.; Gómez-Robles, A.

2019

Article / Nonlinear, flexible, semisupervised learning scheme for face beauty scoring

Journal of Electronic Imaging

Dornaika, F.; Elorza, A.; Wang, K.; Arganda-Carreras, I.

Article / Age estimation in facial images through transfer learning

Machine Vision and Applications

Dornaika, F.; Arganda-Carreras, I.; Belver, C.

Article / Multicolor multiscale brain imaging with chromatic multiphoton serial microscopy

Nature Communications

Abdeladim, L.; Matho, K.S.; Clavreul, S.; Mahou, P.; Sintes, J.M.; Solinas, X.; Arganda-Carreras, I.; Turney, S.G.; Lichtman, J.W.; Chessel, A.; Bemelmans, A.P.; Loulier, K.; Supatto, W.; Livet, J.; Beaurepaire, E.

Article / Division of labor and brain evolution in insect societies: Neurobiology of extreme specialization in the turtle ant Cephalotes varians

PLoS ONE

Gordon, D.G.; Zelaya, A.; Arganda-Carreras, I.; Arganda, S.; Traniello, J.F.A.

Article / WDR20 regulates shuttling of the USP12 deubiquitinase complex between the plasma membrane, cytoplasm and nucleus

European Journal of Cell Biology

Olazabal-Herrero, A.; Sendino, M.; Arganda-Carreras, I.; Rodríguez, J.A.

2018

Article / An optimized plugin to perform automated histomorphometry of bone parameters

Frontiers in Endocrinology

Deeksha Malhan, Matthias Muelke, Sebastian Rosch, Annemarie Barbara Schaefer, Felix Merboth, David Weisweiler, Christian Heiss, Ignacio Arganda-Carreras, Thaqif El Khassawna

Article / A statistically representative atlas for mapping neuronal circuits in the drosophila adult brain

Frontiers in Neuroinformatics

Arganda-Carreras, I.; Manoliu, T.; Mazuras, N.; Schulze, F.; Iglesias, J.E.; Bühler, K.; Jenett, A.; Rouyer, F.; Andrey, P.

2017

Chapter / Light Microscopy: Methods and Protocols

Markaki, Yolanda and Harz, Hartmann

Ignacio Arganda-Carreras, Philippe Andrey

Article / Trainable Weka Segmentation: A machine learning tool for microscopy pixel classification

Bioinformatics

Arganda-Carreras, I.; Kaynig, V.; Rueden, C.; Eliceiri, K.W.; Schindelin, J.; Cardona, A.; Seung, H.S.

Article / Vision-based fall detection with convolutional neural networks

Wireless Communications and Mobile Computing

Núñez-Marcos, A.; Azkune, G.; Arganda-Carreras, I.

2016

Article / MorphoLibJ: Integrated library and plugins for mathematical morphology with ImageJ

Bioinformatics

Legland, D.; Arganda-Carreras, I.; Andrey, P.

Review / An empirical study of global descriptors for image-based localization in dense urban scenes

International Journal of Sensors, Wireless Communications and Control

Dornaika, F.; Assoum, A.; Moujahid, A.; Arganda-Carreras, I.

Deep Learning for Bioimage Analysis: novel user- and developer-oriented approaches

University of the Basque Country (UPV/EHU)

Daniel Franco-Barranco - Finished

Data-centric Design and Training of Deep Neural Networks with Multiple Data Modalities for Vision-based Perception System

Universidad del País Vasco / Euskal Herriko Unibertsitatea

Nerea Aranjuelo Ansa - Finished

Optimizing Deep Neural Network Deployment for Intelligent Security Video Analytics

Universidad del Pais Vasco / Euskal Herriko Unibertsitatea

Unai Elordi Hidalgo - Finished

2023

Deep learning single image super-resolution in microscopy data: distortion error vs perceptual quality

Universidad del País Vasco / Euskal Herriko Unibertsitatea

Validación de la detección de objetos 3D basada en nubes de puntos para la conducción autónoma mediante motores de simulación.

Universidad del País Vasco / Euskal Herriko Unibertsitatea

2022

Transformer-based architecture for 2D semantic segmentation of mitochondria

Universidad del Pais Vasco / Euskal Herriko Unibertsitatea

Aplicación de Inteligencia Artificial en vídeos Time-Lapse para la evaluación temprana de embriones

Universidad del Pais Vasco / Euskal Herriko Unibertsitatea

2021

Evaluación y desarrollo de redes neuronales profundas para super-resolución en imágenes de microscopía y astrofísica

Universidad del Pa?s Vasco / Euskal Herriko Unibertsitatea

Implementación en Android de detector de elementos de la red eléctrica utilizando técnicas de Deep Learning

Universidad del Pa?s Vasco / Euskal Herriko Unibertsitatea

2020

Inferring spatial relations from textual descriptions of images

Universidad del País Vasco / Euskal Herriko Unibertsitatea

Development of a deep learning system for hummed melody identification for BertsoBot

Universidad del País Vasco / Euskal Herriko Unibertsitatea

Prueba de concepto de la aplicación del aprendizaje profundo a la morfogénesis

Universidad del País Vasco / Euskal Herriko Unibertsitatea

Detection of Driver Distraction Using Deep Learning

Universidad del País Vasco / Euskal Herriko Unibertsitatea

Deep Learning for Pulmonary Hypertension Characterization from 4D magnetic resonance

Universidad del País Vasco / Euskal Herriko Unibertsitatea

2019

Towards smart video surveillance: static object detection in complex environments

Universidad del País Vasco / Euskal Herriko Unibertsitatea

Detección de mitocondrias en células mediante Deep Learning

Universidad del País Vasco / Euskal Herriko Unibertsitatea

Reproyección multi-vista de objetos para vehículos autónomos

Universidad del País Vasco / Euskal Herriko Unibertsitatea

Segmentacion automatica de procesos neuronales en microscopía electrónica mediante técnicas de aprendizaje profundo

Universidad del País Vasco / Euskal Herriko Unibertsitatea

Estimación de riesgo de colisión para aplicaciones de conducción autónoma

Universidad del País Vasco / Euskal Herriko Unibertsitatea

Portable system for autonomous management of transparent wood coatings

Universidad del País Vasco / Euskal Herriko Unibertsitatea

2018

Detección de objetos basada en Deep Learning y aplicada a vehículos autónomos

Universidad del País Vasco / Euskal Herriko Unibertsitatea

Statistical Shiny app that provides a complete performance evaluation of the microINR system

Universidad del País Vasco / Euskal Herriko Unibertistatea

Reconocimiento de señales de tráfico verticales mediante técnicas de visión artificial

Universidad del País Vasco / Euskal Herriko Unibertistatea

Driver Drowsiness Detection in Facial Images

Universidad del País Vasco / Euskal Herriko Unibertistatea

2017

Image-based Family Verification in the wild

Universidad del País Vasco / Euskal Herriko Unibertsitatea

Prototipo CAD de segmentación automática de cáncer de pulmón en imágenes histopatológicas TMA

Universidad del País Vasco / Euskal Herriko Unibertsitatea

Face Beauty Analysis via Manifold Based Semi-Supervised Learning

Universidad del País Vasco / Euskal Herriko Unibertsitatea

Comparative Analysis of Facial Expressions using Hand-crafted and Deep Face Features

Universidad del País Vasco / Euskal Herriko Unibertsitatea

2016

Comparative Study of Human Age Estimation Based on Hand-crafted and Deep Face Features

Universidad del País Vasco / Euskal Herriko Unibertsitatea

2024

ABiS-GBI 2023 course - Image data: image analysis, data management and reuse, Jointly organized by Global BioImaging & Advanced Bioimaging Support (Japan), 3-7 July 2023, Okazaki and Kobe, Japan. Three-day courses (3-5 July).

2023

NEUBIAS Defragmentation Training School 2: Bioimage Analysis on Cloud, course on “Machine and Deep Learning on the cloud: Segmentation”, 12:30-13:00, 15:00-16:00, Porto, Portugal, May 8-10, 2023.

2022

Curso SGIker - Curso práctico de imagen digital en microscopía en Biomedicina. Centro de Biotecnología Animal "María Goyri" de la Universidad del País Vasco / Euskal Herriko Unibertsitatea, en Leioa, Bizkaia (6.5 horas de docencia el 9-10 de junio de 2022).

Master on Computational Engineering and Intelligent Systems (Universidad del País Vasco/Euskal Herriko Unibertsitatea). Course: Computer Vision (3 ECTS credits).

Master on Computational Engineering and Intelligent Systems (Universidad del País Vasco/Euskal Herriko Unibertsitatea). Course: Introduction to deep learning (3 ECTS credits).

NEUBIAS Defragmentation School: Bringing BioIMage Analysts to the cloud! Day 2, course on “Machine and Deep Learning on the cloud: Segmentation”, 17:30-19:00, Online, September 30th 2022.

2021

Name of the course: Natural Language Processing and Research: Documentation and Communication University degree: Máster Universitario en Análisis y Procesamiento del Lenguaje Start date: 17/03/2021 End date: 16/04/2021 Entity: Universidad del País Vasco / Euskal Herriko Unibertsitatea

4th International School on Deep Learning, DeepLearn 2021 Summer, three lectures on “Deep Learning for Bioimage Analysis”, Las Palmas de Gran Canaria, Spain - July 26-27, 2021.

EIT Health Ageing PhD School, ADVANCED COURSE, Advanced Imaging Methods in Neuroscience, course on “Machine Learning tools for Bioimage Analysis”, Online, May 18th, 2021.

2020

Master on Computational Engineering and Intelligent Systems (Universidad del País Vasco/Euskal Herriko Unibertsitatea). Course: Computer Vision (3 ECTS credits).

Name of the course: Natural Language Processing and Research: Documentation and Communication University degree: Máster Universitario en Análisis y Procesamiento del Lenguaje Start date: 23/01/2020 End date: 17/02/2020 Entity: Universidad del País Vasco / Euskal Herriko Unibertsitatea

EIT Health Ageing PhD School, ADVANCED COURSE, Advanced Imaging Methods in Neuroscience, course on “Machine Learning tools for Bioimage Analysis”, Online, November 10th, 2020.

NEUBIAS Academy @Home, course on “Introduction to Machine Learning and deepImageJ”, April 21st, 2020, Online, 15h30-17h00 CET (Brussels Time).

2019

NEUBIAS 5th Training School for Early Career Investigators (TS10) hosted at University of Luxembourg, Luxembourg, Feb 2-5 (Sat-Tue), 2019.

NEUBIAS 3rd Training School for Bioimage Analysts (TS11) hosted at University of Luxembourg, Luxembourg, Feb 2-5 (Sat-Tue), 2019.

Bioimage Analysis Deep Learning workshop. Spanish and Portuguese Advanced Optical Microscopy (SPAOM 2019) meeting, at Coimbra, Portugal. 6-8 November 2019. Community workshop WS4. Speakers: Sébastien Tosi and Ignacio Arganda-Carreras.

Master on Computational Engineering and Intelligent Systems (Universidad del País Vasco/Euskal Herriko Unibertsitatea). Course: Computer Vision (3 ECTS credits).

2018

Spanish Portuguese Meeting for Advanced Optical Microscopy, SPAOM 2018, Granada, Spain. I. Arganda-Carreras, E. Gómez de Mariscal, A. Muñoz-Barrutia, S. Tosi. Workshop 5: Machine Learning - Deep Learning. Applications to Bioimage Analysis. Thursday 25th October, FARADAY Theatre, 17:30-19:00h).

2017

NEUBIAS 2nd Training School for Facility Staff (TS5), hosted by the Centre for Cellular Imaging, Sahlgrenska Academy, at the University of Gothenburg, Sweden. September 11-14th (Mon-Thu), 2017.

2024

Conference Paper | Data and Label Graph Fusion for Semi-supervised Learning: Application to Image Categorization

IS and T International Symposium on Electronic Imaging Science and Technology - Conference Paper

Baradaaji, A.; Dornaika, F.; Arganda-Carreras, I.

Conference Paper | Analysis of Point Cloud Domain Gap Effects for 3D Object Detection Evaluation

Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Conference Paper

Iglesias, A.; Garcia, M.; Aranjuelo, N.; Arganda-Carreras, I.; Nieto, M.

Conference Paper | Self-supervised Vision Transformers for image-to-image labeling: a BiaPy solution to the LightMyCells Challenge

Proceedings - International Symposium on Biomedical Imaging - Conference Paper

Franco-Barranco, D.; Gonzalez-Marfil, A.; Arganda-Carreras, I.

2023

Conference paper | BiaPy: a ready-to-use library for Bioimage Analysis Pipelines

Daniel Franco-Barranco, Jesus A. Andres-San Roman, Pedro Gomez-Galvez, Luis M. Escudero, Arrate Muñoz-Barrutia, Ignacio Arganda-Carreras

Conference Paper | Modeling Wound Healing Using Vector Quantized Variational Autoencoders and Transformers

Proceedings - International Symposium on Biomedical Imaging - Conference Paper

Backova, L.; Bengoetxea, G.; Rogalla, S.; Franco-Barranco, D.; Solon, J.; Arganda-Carreras, I.

Conference Paper | BiaPy: a ready-to-use library for Bioimage Analysis Pipelines

Proceedings - International Symposium on Biomedical Imaging - Conference Paper

Franco-Barranco, D.; Andres-San Roman, J.A.; Gomez-Galvez, P.; Escudero, L.M.; Munoz-Barrutia, A.; Arganda-Carreras, I.

2021

Conference Paper | Accurate 3D Object Detection from Point Cloud Data using Bird's Eye View Representations

ICETE International Conference on E-Business and Telecommunication Networks (International Joint Conference on Computational Intelligence) - Conference Paper

Aranjuelo, N.; Engels, G.; Montero, D.; Nieto, M.; Arganda-Carreras, I.; Unzueta, L.; Otaegui, O.

Conference Paper | Optimal deployment of face recognition solutions in a heterogeneous IoT platform for secure elderly care applications

Procedia Computer Science - Conference Paper

Elordi, U.; Bertelsen, A.; Unzueta, L.; Aranjuelo, N.; Goenetxea, J.; Arganda-Carreras, I.

Conference Paper | NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - Conference Paper

Lin, Z.; Wei, D.; Petkova, M.D.; Wu, Y.; Ahmed, Z.; K, K.S.; Zou, S.; Wendt, N.; Boulanger-Weill, J.; Wang, X.; Dhanyasi, N.; Arganda-Carreras, I.; Engert, F.; Lichtman, J.; Pfister, H.

Conference Paper | AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - Conference Paper

Wei, D.; Lee, K.; Li, H.; Lu, R.; Bae, J.A.; Liu, Z.; Zhang, L.; dos Santos, M.; Lin, Z.; Uram, T.; Wang, X.; Arganda-Carreras, I.; Matejek, B.; Kasthuri, N.; Lichtman, J.; Pfister, H.

Conference Paper | On-demand serverless video surveillance with optimal deployment of deep neural networks

VISIGRAPP 2021 - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Conference Paper

Elordi, U.; Unzueta, L.; Goenetxea, J.; Loyo, E.; Arganda-Carreras, I.; Otaegui, O.

Conference Paper | Robust 3D Object Detection from LiDAR Point Cloud Data with Spatial Information Aggregation

Advances in Intelligent Systems and Computing - Conference Paper

Aranjuelo, N.; Engels, G.; Unzueta, L.; Arganda-Carreras, I.; Nieto, M.; Otaegui, O.

Conference Paper | Accurate 3D Object Detection from Point Cloud Data using Bird’s Eye View Representations

International Joint Conference on Computational Intelligence - Conference Paper

Aranjuelo, N.; Engels, G.; Montero, D.; Nieto, M.; Arganda-Carreras, I.; Unzueta, L.; Otaegui, O.

2020

Conference paper | Using External Knowledge to Improve Zero-Shot Action Recognition in Egocentric Videos

International Conference on Image Analysis and Recognition - Conference paper

Adrián Núñez-Marcos, Gorka Azkune, Eneko Agirre, Diego López-de-Ipiña, Ignacio Arganda-Carreras

Conference Paper | MRI to CTA Translation for Pulmonary Artery Evaluation Using CycleGANs Trained with Unpaired Data

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - Conference Paper

Stephens, M.; Estepar, R.S.J.; Ruiz-Cabello, J.; Arganda-Carreras, I.; Macía, I.; López-Linares, K.

Conference Paper | MitoEM Dataset: Large-Scale 3D Mitochondria Instance Segmentation from EM Images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - Conference Paper

Wei, D.; Lin, Z.; Franco-Barranco, D.; Wendt, N.; Liu, X.; Yin, W.; Huang, X.; Gupta, A.; Jang, W.D.; Wang, X.; Arganda-Carreras, I.; Lichtman, J.W.; Pfister, H.

Conference Paper | 3D object detection from LiDAR data using distance dependent feature extraction

VEHITS 2020 - Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - Conference Paper

Engels, G.; Aranjuelo, N.; Arganda-Carreras, I.; Nieto, M.; Otaegui, O.

Conference Paper | Using external knowledge to improve zero-shot action recognition in egocentric videos

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - Conference Paper

Núñez-Marcos, A.; Azkune, G.; Agirre, E.; López-de-Ipiña, D.; Arganda-Carreras, I.

2019

Conference Paper | Deep Learning based Detection of Hair Loss Levels from Facial Images

2019 9th International Conference on Image Processing Theory, Tools and Applications, IPTA 2019 - Conference Paper

Benhabiles, H.; Hammoudi, K.; Yang, Z.; Windal, F.; Melkemi, M.; Dornaika, F.; Arganda-Carreras, I.

Conference Paper | Driver drowsiness detection in facial images

2018 8th International Conference on Image Processing Theory, Tools and Applications, IPTA 2018 - Proceedings - Conference Paper

Dornaika, F.; Reta, J.; Arganda-Carreras, I.; Moujahid, A.

Conference Paper | Image-based driver drowsiness detection

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - Conference Paper

Dornaika, F.; Khattar, F.; Reta, J.; Arganda-Carreras, I.; Hernandez, M.; Ruichek, Y.

Conference Paper | Chromatic serial multiphoton microscopy for high-content multiscale analysis of large brain volumes

Optics and the Brain - Proceedings Biophotonics Congress: Optics in the Life Sciences Congress 2019 (BODA, BRAIN, NTM, OMA, OMP) - Conference Paper

Abdeladim, L.; Matho, K.; Clavreul, S.; Mahou, P.; Sintes, J.M.; Solinas, X.; Arganda-Carreras, I.; Chessel, A.; Turney, S.; Lichtman, J.W.; Bemelmans, A.P.; Loulier, K.; Supatto, W.; Livet, J.; Beaurepaire, E.

Conference Paper | Chromatic serial multiphoton microscopy for high-content multiscale analysis of large brain volumes

Optics InfoBase Conference Papers - Conference Paper

Conference Paper | Chromatic serial multiphoton microscopy for multicolor imaging of large brain volumes

Optics InfoBase Conference Papers - Conference Paper

Abdeladim, L.; Matho, K.S.; Clavreul, S.; Mahou, P.; Sintes, J.M.; Solinas, X.; Arganda-Carreras, I.; Chessel, A.; Turney, S.; Lichtman, J.W.; Bemelmans, A.P.; Loulier, K.; Supatto, W.; Livet, J.; Beaurepaire, E.

Conference Paper | Chromatic serial multiphoton microscopy for multicolor imaging of large brain volumes

Progress in Biomedical Optics and Imaging - Proceedings of SPIE - Conference Paper

Invited talk | Deep learning solutions for the automatic segmentation of mitochondria on EM images

Spanish and Portuguese Advanced Optical Microscopy (SPAOM) - Invited talk

Ignacio Arganda-Carreras

Poster presentation | Deep learning solutions for the automatic segmentation of mitochondria on EM images

BioImage Informatics 2019 - Poster presentation

Daniel Franco, Arrate Muñoz-Barrutia, Ignacio Arganda-Carreras

2018

Conference Paper | How can deep neural networks be generated efficiently for devices with limited resources?

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - Conference Paper

Elordi, U.; Unzueta, L.; Arganda-Carreras, I.; Otaegui, O.

Conference Paper | Multimodal deep learning for advanced driving systems

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - Conference Paper

Aranjuelo, N.; Unzueta, L.; Arganda-Carreras, I.; Otaegui, O.

2017

Conference Paper | Evaluating age estimation using deep convolutional neural nets

IS and T International Symposium on Electronic Imaging Science and Technology - Conference Paper

Belver, C.; Arganda-Carreras, I.; Dornaika, F.

Conference Paper | Comparative study of human age estimation based on hand-crafted and deep face features

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - Conference Paper

Belver, C.; Arganda-Carreras, I.; Dornaika, F.

Conference Paper | Group-wise 3D registration based templates to study the evolution of ant worker neuroanatomy

Proceedings - International Symposium on Biomedical Imaging - Conference Paper

Arganda-Carreras, I.; Gordon, D.G.; Arganda, S.; Beaudoin, M.; Traniello, J.F.A.

2016

Invited talk | Numerical evaluation of whole Drosophila adult brain templates: a group-wise atlas solution

EFOR annual meeting 2016 - Invited talk

Ignacio Arganda-Carreras, Tudor Manoliu, J. Eugenio Iglesias, Arnim Jenett, François Rouyer, Philippe Andrey