Topography-Based Detection of the Iris Centre Using Multiple-Resolution Images. - Victoria Ponz; Arantxa Villanueva; Laura Sesma; Mikel Ariz; Rafael Cabeza (IMVIP, 2011)

Hybrid method based on topography for robust detection of iris center and eye corners. - Arantxa Villanueva; Victoria Ponz; Laura Sesma-Sanchez; Mikel Ariz; Sonia Porta; Rafael Cabeza (ACM Trans. Multim. Comput. Commun. Appl., 2013)

A novel 2D/3D database with automatic face annotation for head tracking and pose estimation. - Mikel Ariz; Jose Javier Bengoechea; Arantxa Villanueva; Rafael Cabeza (Comput. Vis. Image Underst., 2016)

Improved Strategies for HPE Employing Learning-by-Synthesis Approaches. - Andoni Larumbe; Mikel Ariz; Jose Javier Bengoechea; Ruben Segura; Rafael Cabeza; Arantxa Villanueva (ICCV Workshops, 2017)

Robust and accurate 2D-tracking-based 3D positioning method: Application to head pose estimation. - Mikel Ariz; Arantxa Villanueva; Rafael Cabeza (Comput. Vis. Image Underst., 2019)

Dynamic Atlas-Based Segmentation and Quantification of Neuromelanin-Rich Brainstem Structures in Parkinson Disease. - Mikel Ariz; Ricardo C. Abad; Gabriel Castellanos; Martin Martinez; Arrate Muñoz-Barrutia; María A. Fernández-Seara; Pau Pastor; María A. Pastor; Carlos Ortiz-de-Solorzano (IEEE Trans. Medical Imaging, 2019)

Unsupervised Learning of Contextual Information in Multiplex Immunofluorescence Tissue Cytometry. - Daniel Jiménez Sánchez; Mikel Ariz; Carlos Ortiz-de-Solórzano (ISBI, 2020)

NMF-RI: blind spectral unmixing of highly mixed multispectral flow and image cytometry data. - Daniel Jimenez-Carretero; Mikel Ariz; José Mário T. Morgado; Iván Cortés-Domínguez; Carlos Ortiz-de-Solórzano (Bioinform., 2020)

Low Cost Gaze Estimation: Knowledge-Based Solutions. - Ion Martinikorena; Andoni Larumbe-Bergera; Mikel Ariz; Sonia Porta; Rafael Cabeza; Arantxa Villanueva (IEEE Trans. Image Process., 2020)

Raw data used in the manuscript "The use of mixed collagen-Matrigel matrices of increasing complexity recapitulates the biphasic role of cell adhesion in cancer cell migration: ECM sensing, remodeling and forces at the leading edge of cancer invasion". - María Anguiano; Xabier Morales; Carlos Castilla; Alejandro Rodríguez Peña; Cristina Ederra; Martin Martinez; Mikel Ariz; Maider Esparza; Hippolyte Amaveda; Mario Mora; Nieves Movilla; José Manuel García-Aznar; et al. (IEEE DataPort, 2020)

Synplex: a synthetic simulator of highly multiplexed histological images. - Daniel Jiménez Sánchez; Mikel Ariz; Carlos Ortiz-de-Solórzano (BHI, 2021)

Corrigendum to: NMF-RI: blind spectral unmixing of highly mixed multispectral flow and image cytometry data. - Daniel Jiménez Sánchez; Mikel Ariz; José Mário Morgado; Iván Cortés-Domínguez; Carlos Ortiz-de-Solórzano (Bioinform., 2022)

NaroNet: Discovery of tumor microenvironment elements from highly multiplexed images. - Daniel Jiménez Sánchez; Mikel Ariz; Hang Chang; Xavier Matias-Guiu; Carlos E. de Andrea; Carlos Ortiz-de-Solórzano (Medical Image Anal., 2022)

Weakly supervised deep learning to predict recurrence in low-grade endometrial cancer from multiplexed immunofluorescence images. - Daniel Jiménez Sánchez; Álvaro López-Janeiro; María Villalba-Esparza; Mikel Ariz; Ece Kadioglu; Ivan Masetto; Virginie Goubert; Maria D. Lozano; Ignacio Melero; David Hardisson; Carlos Ortiz-de-Solórzano; Carlos E. de Andrea (npj Digit. Medicine, 2023)

Synplex: In Silico Modeling of the Tumor Microenvironment From Multiplex Images. - Daniel Jiménez Sánchez; Mikel Ariz; Carlos E. de Andrea; Carlos Ortiz-de-Solorzano (IEEE Trans. Medical Imaging, 2023)