adigasu
Ph.D. Student at ETS Montreal. Interested in Machine Learning, Computer Vision, and Medical Image Analysis.
ETS MontrealMontreal, Canada
Pinned Repositories
Anatomically-aware_Uncertainty_for_Semi-supervised_Segmentation
Anatomically-aware Uncertainty for Semi-supervised Image Segmentation
Dynamic_subspace_learners
A novel dynamic learning strategy that overcomes the empirical search of an optimal number of subspace learners in multiple metric learners.
FDPMNet
Fingerprint denoising using M-net based convolution neural network
GeoLS
Adding Image-context in the Label Smoothing process via Geodesic distance
Labeling_Representations
Leveraging Labeling Representations in Uncertainty-based Semi-supervised Segmentation
MNIST_simpleNN
MNIST digit classification using simple neural network (NN) using Python
ResCycleGAN
Unsupervised Image-to-Image Translation by Matching the Characteristics of Images
SE_Despeckling
Shared Encoder (SE) based Denoising of Optical Coherence Tomography Images
Survey_of_Deep_Metric_Learning
A comprehensive survey of deep metric learning and related works
Utility
One place for all useful links
adigasu's Repositories
adigasu/SE_Despeckling
Shared Encoder (SE) based Denoising of Optical Coherence Tomography Images
adigasu/Anatomically-aware_Uncertainty_for_Semi-supervised_Segmentation
Anatomically-aware Uncertainty for Semi-supervised Image Segmentation
adigasu/FDPMNet
Fingerprint denoising using M-net based convolution neural network
adigasu/GeoLS
Adding Image-context in the Label Smoothing process via Geodesic distance
adigasu/Labeling_Representations
Leveraging Labeling Representations in Uncertainty-based Semi-supervised Segmentation
adigasu/ResCycleGAN
Unsupervised Image-to-Image Translation by Matching the Characteristics of Images
adigasu/Dynamic_subspace_learners
A novel dynamic learning strategy that overcomes the empirical search of an optimal number of subspace learners in multiple metric learners.
adigasu/MNIST_simpleNN
MNIST digit classification using simple neural network (NN) using Python
adigasu/Survey_of_Deep_Metric_Learning
A comprehensive survey of deep metric learning and related works
adigasu/Utility
One place for all useful links