Pinned Repositories
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's Repositories
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.