Franblueee

BCD-Net

Code for "Deep Bayesian Blind Color Deconvolution of histological images" and "BCD-Net: Stain separation of histological images using deep variational Bayesian blind color deconvolution"

ddsi_examples

Teaching material for the subject DDSI of the UGR

Franblueee.github.io

MINDAT_AVAN

(2021-2022) Course "Data mining: advanced aspects", DATCOM master's degree, University of Granada.

practicas_ddsi

(2019-2020) Design and Development of Information Systems (DDSI), Degree in Computer Engineering, University of Granada

psi-VGPMIL

Code for Hyperbolic Secant Representation of the Logistic Function: Application to Probabilistic Multiple Instance Learning for CT Intracranial Hemorrhage Detection

SA-MIL

The codes for paper "Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection" accepted in MICCAI 2023.

TFGCOVID

Code for my Bachelor's Thesis: "A Federated Learning model for the diagnosis of COVID-19 from chest X-rays images"

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

SETMIL

Franblueee/TFGCOVID

Code for my Bachelor's Thesis: "A Federated Learning model for the diagnosis of COVID-19 from chest X-rays images"

Franblueee/BCD-Net

Code for "Deep Bayesian Blind Color Deconvolution of histological images" and "BCD-Net: Stain separation of histological images using deep variational Bayesian blind color deconvolution"

Franblueee/ddsi_examples

Teaching material for the subject DDSI of the UGR

Franblueee/Franblueee.github.io

Franblueee/MINDAT_AVAN

(2021-2022) Course "Data mining: advanced aspects", DATCOM master's degree, University of Granada.

Franblueee/practicas_ddsi

(2019-2020) Design and Development of Information Systems (DDSI), Degree in Computer Engineering, University of Granada

Franblueee/psi-VGPMIL

Code for Hyperbolic Secant Representation of the Logistic Function: Application to Probabilistic Multiple Instance Learning for CT Intracranial Hemorrhage Detection

Franblueee/SA-MIL

The codes for paper "Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection" accepted in MICCAI 2023.