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)