Exploring simple visual languages for real time human-computer interaction. - Pablo Ayala; Iñigo Barandiaran; David Vicente; Manuel Graña (VECIMS, 2003)

Augmented reality based on auto-stereoscopic display for computer-aided surgery. - Eduardo Carrasco; Iván Macía; Rubén Gómez; Iñigo Barandiaran; Céline Paloc; Georgios Sakas (CARS, 2004)

Computer-Aided Surgery based on Auto-Stereoscopic Augmented Reality. - Céline Paloc; Eduardo Carrasco; Iván Macía; Rubén Gómez; Iñigo Barandiaran; José Manuel Jiménez; Oskar Rueda; Jorge Ortiz de Urbina; Andrés Valdivieso; Georgios Sakas (IV, 2004)

MHP Oriented Interactive Augmented Reality System for Sports Broadcasting Environments. - Igor G. Olaizola; Iñigo Barandiaran Martirena; Tobias D. Kammann (J. Virtual Real. Broadcast., 2006)

Random Forest Classifiers for Real-Time Optical Markerless Tracking. - Iñigo Barandiaran; Charlotte Cottez; Céline Paloc; Manuel Graña (VISAPP (2), 2008)

Realtime Dense Stereo Matching with Dynamic Programming in CUDA. - John Congote; Javier Barandiarán; Iñigo Barandiaran; Oscar E. Ruiz (CEIG, 2009)

Adaptative Cubical Grid for Isosurface Extraction. - John Congote; Aitor Moreno; Iñigo Barandiaran; Javier Barandiarán; Oscar E. Ruiz (GRAPP, 2009)

An Automatic Segmentation and Reconstruction of Mandibular Structures from CT-Data. - Iñigo Barandiaran; Iván Macía; Eva Berckmann; Diana Wald; Michael Pierre Dupillier; Céline Paloc; Manuel Graña (IDEAL, 2009)

Extending Marching Cubes with Adaptative Methods to Obtain More Accurate Iso-surfaces. - John Congote; Aitor Moreno; Iñigo Barandiaran; Javier Barandiarán; Oscar E. Ruiz (VISIGRAPP (Selected Papers), 2009)

Marching Cubes in an Unsigned Distance Field for Surface Reconstruction from Unorganized Point Sets. - John Congote; Aitor Moreno; Iñigo Barandiaran; Javier Barandiarán; Jorge Posada 001; Oscar E. Ruiz (GRAPP, 2010)

Real-time optical markerless tracking for augmented reality applications. - Iñigo Barandiaran; Céline Paloc; Manuel Graña (J. Real Time Image Process., 2010)

Statistical Tuning of Adaptive-Weight Depth Map Algorithm. - Alejandro Hoyos; John Congote; Iñigo Barandiaran; Diego A. Acosta; Oscar E. Ruiz (CAIP (2), 2011)

Face Reconstruction with Structured Light. - John Congote; Iñigo Barandiaran; Javier Barandiarán; Marcos Nieto; Oscar E. Ruiz (VISAPP, 2011)

Image Analysis Pipeline for Automatic Karyotyping. - Izaro Goienetxea; Iñigo Barandiaran; Carlos Jauquicoa; Gregory Maclair; Manuel Graña (HAIS (2), 2012)

Evaluation of interest point detectors for image information extraction. - Iñigo Barandiaran; John Congote; Jon Goenetxea; Oscar E. Ruiz (KES, 2012)

A Comparative Study of Classifier Ensembles for Karyotyping. - Iñigo Barandiaran; Gregory Maclair; Izaro Goienetxea; Carlos Jauquicoa; Manuel Graña (KES, 2012)

A New Evaluation Framework and Image Dataset for Keypoint Extraction and Feature Descriptor Matching. - Iñigo Barandiaran; Camilo Cortés; Marcos Nieto; Manuel Graña; Oscar E. Ruiz (VISAPP (1), 2013)

DITEC - Experimental Analysis of an Image Characterization Method based on the Trace Transform. - Igor G. Olaizola; Iñigo Barandiaran; Basilio Sierra; Manuel Graña (VISAPP (1), 2013)

An Empirical Evaluation of Interest Point Detectors. - Iñigo Barandiaran; Manuel Graña; Marcos Nieto (Cybern. Syst., 2013)

Tuning of Adaptive Weight Depth Map Generation Algorithms - Exploratory Data Analysis and Design of Computer Experiments (DOCE). - Diego A. Acosta; Iñigo Barandiaran; John Congote; Oscar E. Ruiz; Alejandro Hoyos; Manuel Graña (J. Math. Imaging Vis., 2013)

A Perspective on Knowledge Based and Intelligent Systems Implementation in Industrie 4.0. - Carlos Toro 001; Iñigo Barandiaran; Jorge Posada 001 (KES, 2015)

Visual Computing as a Key Enabling Technology for Industrie 4.0 and Industrial Internet. - Jorge Posada 001; Carlos Toro 001; Iñigo Barandiaran; David Oyarzun; Didier Stricker; Raffaele De Amicis; Eduardo B. Pinto; Peter Eisert; Jürgen Döllner; Ivan Vallarino (IEEE Computer Graphics and Applications, 2015)

A Robust and Fast Deep Learning-Based Method for Defect Classification in Steel Surfaces. - Fátima A. Saiz; Ismael Serrano; Iñigo Barandiaran; Jairo R. Sánchez (IEEE Conf. on Intelligent Systems, 2018)

Unlocking Augmented Interactions in Short-Lived Assembly Tasks. - Bruno Simões; Hugo Álvarez; Alvaro Segura; Iñigo Barandiaran (SOCO-CISIS-ICEUTE, 2018)

X-Reality System Architecture for Industry 4.0 Processes. - Bruno Simões; Raffaele De Amicis; Iñigo Barandiaran; Jorge Posada 001 (Multimodal Technol. Interact., 2018)

Progressive ray-casting volume rendering with WebGL for visual assessment of air void distribution in quality control. - Ander Arbelaiz; Aitor Moreno; Iñigo Barandiaran; Alejandro García-Alonso (Web3D, 2019)

Geometry simplification of open-cell porous materials for elastic deformation FEA. - Camilo Cortés; Maria Osorno; David Uribe; Holger Steeb; Oscar Ruiz-Salguero; Iñigo Barandiaran; Julián Flórez 001 (Eng. Comput., 2019)

Frequency-domain analytic method for efficient thermal simulation under curved trajectories laser heating. - Daniel Mejia-Parra; Aitor Moreno; Jorge Posada 001; Oscar Ruiz-Salguero; Iñigo Barandiaran; Juan Carlos Poza; Raúl Chopitea (Math. Comput. Simul., 2019)

Visual computing technologies to support the Operator 4.0. - Alvaro Segura; Helen V. Díez; Iñigo Barandiaran; Ander Arbelaiz; Hugo Álvarez; Bruno Simões; Jorge Posada 001; Alejandro García-Alonso; Ramón J. Ugarte (Comput. Ind. Eng., 2020)

COVID-19 Detection in Chest X-ray Images using a Deep Learning Approach. - Fátima A. Saiz; Iñigo Barandiaran (Int. J. Interact. Multim. Artif. Intell., 2020)

Synthetic Data Set Generation for the Evaluation of Image Acquisition Strategies Applied to Deep Learning Based Industrial Component Inspection Systems. - Fátima A. Saiz; Garazi Alfaro; Iñigo Barandiaran; Sara García; María del Puy Carretero; Manuel Graña (CEIG, 2021)

An Inspection and Classification System for Automotive Component Remanufacturing Industry Based on Ensemble Learning. - Fátima A. Saiz; Garazi Alfaro; Iñigo Barandiaran (Inf., 2021)

A Fast Deep Learning Based Approach for Unsupervised Anomaly Detection in 3D Data. - Sergio Presa; Fátima A. Saiz; Iñigo Barandiaran (ICFSP, 2022)

Relevance of Visualization and Interaction Technologies for Industry 5.0. - Ander García; Marco Quartulli; Igor G. Olaizola; Iñigo Barandiaran (I-ESA Workshops, 2022)

Artificial Intelligence from Industry 5.0 perspective: Is the Technology Ready to Meet the Challenge? - Igor García Olaizola; Marco Quartulli; Ander García; Iñigo Barandiaran (I-ESA Workshops, 2022)

Photometric Stereo-Based Defect Detection System for Steel Components Manufacturing Using a Deep Segmentation Network. - Fátima A. Saiz; Iñigo Barandiaran; Ander Arbelaiz; Manuel Graña (Sensors, 2022)

SiliconBurmuin: A Horizon Europe propelled Neurocomputing Initiative in the Basque Country. - Xabier Iturbe; Xabier Alberdi; Ander Aramburu; Armando Astarloa; Iñigo Barandiaran; Koldo Basterretxea; Angélica Dávila; Asier Erramuzpe; Iñigo Gabilondo; Garikoitz Lerma-Usabiaga; Lisandro Gabriel Monsalve; Libe Mori; et al. (SEAA, 2023)

Vision System for Automatic Inspection of Solder Joints in Electronic Boards. - Iñigo Mendizabal-Arrieta; Hugo Álvarez; Garazi Alfaro; Daniel Aguinaga; Iban Galarraga; Iñigo Barandiaran (ICMLT, 2024)

Latent Diffusion Models to Enhance the Performance of Visual Defect Segmentation Networks in Steel Surface Inspection. - Jon Leiñena; Fátima A. Saiz; Iñigo Barandiaran (Sensors, 2024)

Handling Drift in Industrial Defect Detection Through MMD-Based Domain Adaptation. - Xuban Barberena; Fátima A. Saiz; Iñigo Barandiaran (VISIGRAPP (2): VISAPP, 2025)