Rafael Molina

TL;DR: Evidence is provided of the clinical usefulness of serum S-100β level determination in high-risk melanoma patients and S- 100β serum determination should be considered to be included in clinical trials that test adjuvant therapies in melan cancer patients.

TL;DR: Zhang et al. as discussed by the authors proposed a generative adversarial network (GAN)-based formulation for video super-resolution, which can improve the performance on various image restoration tasks; however, these methods have not yet been applied for VSR.

TL;DR: In patients with breast cancer without metastases, a relation between positivity of these tumor markers and prognostic factors (tumor size, nodal involvement) is found and the disease free interval in patients with locoregional breast cancer was shorter in cases with abnormal presurgical levels of some of the tumor markers.

TL;DR: A method that combines image processing and statistical machine learning techniques to solve the localization/detection problem of passive Millimeter Wave Images and can be used in real time applications.

TL;DR: In this article, two algorithms for total variation (TV) based blind deconvolution and parameter estimation utilizing a variational framework are proposed. But they are based on a hierarchical Bayesian formulation, where the reconstructed image, blur and the unknown hyperparameters for the image prior, the blur prior and image degradation noise are simultaneously estimated.