Optimal multiresolution 3D level-set method for liver segmentation incorporating local curvature constraints. - Daniel Jimenez-Carretero; Laura Fernandez-de-Manuel; Javier Pascau; Jose M. Tellado; Enrique Ramon; Manuel Desco; Andrés Santos; María J. Ledesma-Carbayo (EMBC, 2011)

3D Frangi-based lung vessel enhancement filter penalizing airways. - Daniel Jimenez-Carretero; Andrés Santos; Sjoerd Kerkstra; Rina Dewi Rudyanto; María J. Ledesma-Carbayo (ISBI, 2013)

A benchmark for comparison of cell tracking algorithms. - Martin Maska; Vladimír Ulman; David Svoboda; Pavel Matula; Petr Matula; Cristina Ederra; Ainhoa Urbiola; Tomás España; Subramanian Venkatesan 001; Deepak M. W. Balak; Pavel Karas; Tereza Bolcková; et al. (Bioinform., 2014)

Organ-focused mutual information for nonrigid multimodal registration of liver CT and Gd-EOB-DTPA-enhanced MRI. - Laura Fernandez-de-Manuel; Gert Wollny; Jan Kybic; Daniel Jimenez-Carretero; Jose M. Tellado; Enrique Ramon; Manuel Desco; Andrés Santos; Javier Pascau; María J. Ledesma-Carbayo (Medical Image Anal., 2014)

Automatic ventricle detection in Computed Tomography Pulmonary Angiography. - Sara Rodriguez-Lopez; Daniel Jimenez-Carretero; Raúl San José Estépar; Eduardo Fraile Moreno; Kanako K. Kumamaru; Frank J. Rybicki; María J. Ledesma-Carbayo; Germán González (ISBI, 2015)

Right ventricle segmentation from cardiac MRI: A collation study. - Caroline Petitjean; Maria A. Zuluaga; Wenjia Bai; Jean-Nicolas Dacher; Damien Grosgeorge; Jérôme Caudron; Su Ruan; Ismail Ben Ayed; Manuel Jorge Cardoso; Hsiang-Chou Chen; Daniel Jimenez-Carretero; María J. Ledesma-Carbayo; et al. (Medical Image Anal., 2015)

Deep-learning strategy for pulmonary artery-vein classification of non-contrast CT images. - Pietro Nardelli; Daniel Jimenez-Carretero; David Bermejo-Peláez; María J. Ledesma-Carbayo; Farbod N. Rahaghi; Raúl San José Estépar (ISBI, 2017)

Tox_(R)CNN: Deep learning-based nuclei profiling tool for drug toxicity screening. - Daniel Jimenez-Carretero; Vahid Abrishami; Laura Fernandez-de-Manuel; Irene Palacios; Antonio Quílez-Álvarez; Alberto Díez-Sánchez; Miguel A. del Pozo; María C. Montoya (PLoS Comput. Biol., 2018)

Pulmonary Artery-Vein Classification in CT Images Using Deep Learning. - Pietro Nardelli; Daniel Jimenez-Carretero; David Bermejo-Peláez; George R. Washko; Farbod N. Rahaghi; María J. Ledesma-Carbayo; Raúl San José Estépar (IEEE Trans. Medical Imaging, 2018)

Applying Modern Virtual and Augmented Reality Technologies to Medical Images and Models. - Justin Sutherland; Jason Belec; Adnan Sheikh; Leonid L. Chepelev; Waleed Althobaity; Benjamin J. W. Chow; Dimitrios Mitsouras; Andy Christensen; Frank J. Rybicki; Daniel Jimenez-Carretero (J. Digit. Imaging, 2019)

A graph-cut approach for pulmonary artery-vein segmentation in noncontrast CT images. - Daniel Jimenez-Carretero; David Bermejo-Peláez; Pietro Nardelli; Patricia Fraga; Eduardo Fraile Moreno; Raúl San José Estépar; María J. Ledesma-Carbayo (Medical Image Anal., 2019)

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)

Computer Aided Detection for Pulmonary Embolism Challenge (CAD-PE). - Germán González; Daniel Jimenez-Carretero; Sara Rodríguez-López; Carlos Cano-Espinosa; Miguel Cazorla; Tanya Agarwal; Vinit Agarwal; Nima Tajbakhsh; Michael B. Gotway; Jianming Liang; Mojtaba Masoudi; Noushin Eftekhari; et al. (CoRR, 2020)

SpatialDDLS: an R package to deconvolute spatial transcriptomics data using neural networks. - Diego Mañanes; Inés Rivero-García; Carlos Relaño; Miguel Torres; David Sancho; Daniel Jimenez-Carretero; Carlos Torroja Fungairino; Fátima Sánchez-Cabo (Bioinform., 2024)