Mikel Ariz
0000-0002-7328-1582
Universidad Pública de Navarra
18 papers found
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Automatic segmentation and quantification of nigrosome-1 neuromelanin and iron in MRI: a candidate biomarker for Parkinson’s disease
Brainstem neuromelanin and iron MRI reveals a precise signature for idiopathic and LRRK2 Parkinson’s disease
Weakly supervised deep learning to predict recurrence in low-grade endometrial cancer from multiplexed immunofluorescence images
GLUT1 ablation in astrocytes paradoxically improves central and peripheral glucose metabolism via enhanced insulin-stimulated ATP release
Complement C5a induces the formation of neutrophil extracellular traps by myeloid-derived suppressor cells to promote metastasis
Heterogenous presence of neutrophil extracellular traps in human solid tumours is partially dependent on IL ‐8
Development and multimodal characterization of an elastase-induced emphysema mouse disease model for the COPD frequent bacterial exacerbator phenotype
Unsupervised Learning of Contextual Information in Multiplex Immunofluorescence Tissue Cytometry
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
Low Cost Gaze Estimation: Knowledge-Based Solutions
NMF-RI: blind spectral unmixing of highly mixed multispectral flow and image cytometry data
Robust and accurate 2D-tracking-based 3D positioning method: Application to head pose estimation
Dynamic Atlas-Based Segmentation and Quantification of Neuromelanin-Rich Brainstem Structures in Parkinson Disease
Improved Strategies for HPE Employing Learning-by-Synthesis Approaches
A novel 2D/3D database with automatic face annotation for head tracking and pose estimation
Hybrid method based on topography for robust detection of iris center and eye corners
Topography-Based Detection of the Iris Centre Using Multiple-Resolution Images
Optimizing interoperability between video-oculographic and electromyographic systems
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