Javier Vera-Olmos

Dixon-VIBE Deep Learning (DIVIDE) Pseudo-CT Synthesis for Pelvis PET/MR Attenuation Correction

A. Soricelli, N. Malpica, O. Catalano, 2018, The Journal of Nuclear Medicine.

How To Pseudo-CT: A Comparative Review of Deep Convolutional Neural Network Architectures for CT Synthesis

A. Soricelli, N. Malpica, Y. Rozenholc, 2022, Applied Sciences.

Franken-CT: Head and Neck MR-Based Pseudo-CT Synthesis Using Diverse Anatomical Overlapping MR-CT Scans

N. Malpica, D. Izquierdo-Garcia, A. Torrado-Carvajal, 2021, Applied Sciences.

Remote Evaluation of Parkinson's Disease Using a Conventional Webcam and Artificial Intelligence

N. Malpica, A. Antonini, Á. Sánchez-Ferro, 2021, Frontiers in Neurology.

Evaluation of Deep Learning–Based Approaches to Segment Bowel Air Pockets and Generate Pelvic Attenuation Maps from CAIPIRINHA-Accelerated Dixon MR Images

N. Malpica, O. Catalano, A. Kamen, 2021, The Journal of Nuclear Medicine.