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Javier Milián Mateos on Muck Rack

Javier Milián Mateos

As seen in: Medium, MSN España, Nature, El Economista (Spain), Journal of Manufacturing and Materials Processing, MDPI, Flipboard, Science Magazine, HackerNoon, El HuffPost and
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Articles

A Multicenter Whole Slide Image Dataset for Classification and Out-of-Distribution Detection in Spindle Cell Cutaneous Neoplasms

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By Javier Milián Mateos, Pablo Meseguer, Sandra Morales, Rocìo del Amor, Liria Térradez, Aurelio Martín-Castro, Pablo Morales-Álvarez, Rafael Molina, Valery Naranjo, Francisco Javier Sáez-Maldonado, Alejandro Golfe, Miguel López-Pórez, Juan Gómez-Valcárcel, Paloma Talavera
| Nature Verified
Abstract Cutaneous spindle cell (CSC) neoplasms are a notoriously challenging diagnostic group within the spectrum of skin malignancies. While specialized CSC neoplasm datasets like AI4SKIN have enabled the development of AI whole-slide image (WSI) classification methods, these methods are largely constrained by closed-set designs. However, in real-world clinical practice, biopsies often contain secondary tumors or rare entities unknown to the developed AI classifiers.
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High-Resolution Images for Coating Defect Detection in Wind Turbine Structures

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By Natalia P. García-De-La-Puente, Javier Milián Mateos, Joan Lario, Eric Lopez, Adrián Colomer, Valery Naranjo, Salih Aksu
| Nature Verified
Abstract Early detection of coating anomalies is essential for reducing material waste and improving production efficiency in wind turbine manufacturing. The performance of deep learning (DL) inspection systems, however, strongly depends on access to large, high-quality, and well-annotated datasets. However, there is a lack of publicly available, standardized datasets capturing the diversity and real-world variability of coating defects in industrial environments.
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Michael Saylor Better Hope Bitcoin Doesn't Rise Too Much

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By Javier Milián Mateos
| HackerNoon
Strategy ($MSTR) is down roughly 80% and Wall Street seems to be burying Michael Saylor's company. But, like with everything, it's worth checking whether the numbers tell a different story. And that includes one of the strangest risks out there: the one that can go off if Saylor does too well. In late May 2026, Strategy sold 32 bitcoins. For a company whose founding dogma was never sell, it was practically heresy.
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