Mikel Ariz

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 14

Top Topics

Histological Images

Unsupervised Learning

Head Pose Estimation

Top Venues

IEEE Trans. Medical Imaging

Comput. Vis. Image Underst.

Publications

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
Weakly supervised deep learning to predict recurrence in low-grade endometrial cancer from multiplexed immunofluorescence images. npj Digit. Medicine 6 (2023)
Daniel Jiménez Sánchez, Mikel Ariz, Carlos E. de Andrea, Carlos Ortiz-de-Solorzano
Synplex: In Silico Modeling of the Tumor Microenvironment From Multiplex Images. IEEE Trans. Medical Imaging 42 (10) (2023)
Daniel Jiménez Sánchez, Mikel Ariz, José Mário Morgado, Iván Cortés-Domínguez, Carlos Ortiz-de-Solórzano
Corrigendum to: NMF-RI: blind spectral unmixing of highly mixed multispectral flow and image cytometry data. Bioinform. 38 (6) (2022)
Daniel Jiménez Sánchez, Mikel Ariz, Hang Chang, Xavier Matias-Guiu, Carlos E. de Andrea, Carlos Ortiz-de-Solórzano
NaroNet: Discovery of tumor microenvironment elements from highly multiplexed images. Medical Image Anal. 78 (2022)
Daniel Jiménez Sánchez, Mikel Ariz, Carlos Ortiz-de-Solórzano
Synplex: A synthetic simulator of highly multiplexed histological images. CoRR (2021)
Daniel Jiménez Sánchez, Mikel Ariz, Carlos Ortiz-de-Solórzano
Synplex: a synthetic simulator of highly multiplexed histological images. BHI (2021)
Daniel Jiménez Sánchez, Mikel Ariz, Hang Chang, Xavier Matias-Guiu, Carlos E. de Andrea, Carlos Ortiz-de-Solórzano
NaroNet: Discovery of tumor microenvironment elements from highly multiplexed images. CoRR (2021)
Daniel Jiménez Sánchez, Mikel Ariz, Carlos Ortiz-de-Solórzano
Unsupervised Learning of Contextual Information in Multiplex Immunofluorescence Tissue Cytometry. ISBI (2020)
Ion Martinikorena, Andoni Larumbe-Bergera, Mikel Ariz, Sonia Porta, Rafael Cabeza, Arantxa Villanueva
Low Cost Gaze Estimation: Knowledge-Based Solutions. IEEE Trans. Image Process. 29 (2020)
Daniel Jimenez-Carretero, Mikel Ariz, José Mário T. Morgado, Iván Cortés-Domínguez, Carlos Ortiz-de-Solórzano
NMF-RI: blind spectral unmixing of highly mixed multispectral flow and image cytometry data. Bioinform. 36 (5) (2020)
Mikel Ariz, Arantxa Villanueva, Rafael Cabeza
Robust and accurate 2D-tracking-based 3D positioning method: Application to head pose estimation. Comput. Vis. Image Underst. 180 (2019)
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
Dynamic Atlas-Based Segmentation and Quantification of Neuromelanin-Rich Brainstem Structures in Parkinson Disease. IEEE Trans. Medical Imaging 38 (3) (2019)
Andoni Larumbe, Mikel Ariz, Jose Javier Bengoechea, Ruben Segura, Rafael Cabeza, Arantxa Villanueva
Improved Strategies for HPE Employing Learning-by-Synthesis Approaches. ICCV Workshops (2017)
Mikel Ariz, Jose Javier Bengoechea, Arantxa Villanueva, Rafael Cabeza
A novel 2D/3D database with automatic face annotation for head tracking and pose estimation. Comput. Vis. Image Underst. 148 (2016)
Arantxa Villanueva, Victoria Ponz, Laura Sesma-Sanchez, Mikel Ariz, Sonia Porta, Rafael Cabeza
Hybrid method based on topography for robust detection of iris center and eye corners. ACM Trans. Multim. Comput. Commun. Appl. 9 (4) (2013)
Victoria Ponz, Arantxa Villanueva, Laura Sesma, Mikel Ariz, Rafael Cabeza
Topography-Based Detection of the Iris Centre Using Multiple-Resolution Images. IMVIP (2011)