MuhammedShames
Electrical Electronic engineer, current Masters Degree student, maker, developer ...
KTUNTurkey
Pinned Repositories
Are-Deep-Learning-Classification-Results-Obtained-on-CT-Scans-Fair-and-Interpretable-
ElectroBot
fastMRI
A large-scale dataset of both raw MRI measurements and clinical MRI images.
Low-Dose-CT-Image-Enhancement-
https://arxiv.org/abs/2310.20265
Machine_Learning_with_R
In this repository I will be sharing some basic R codes, mostly working on Neural Networks and different Deep learning applications.
MRNET-For-Knee-Diagnosis
Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet
Neural-network-representations-for-the-inter--and-intra-class-common-vector-classifiers
https://doi.org/10.1016/j.dsp.2023.104205
Pattern-Recognition-Lab.
Pattern Recognition Laboratory consists of a group of researchers from different universities, applying their machine learning and AI knowledge on real life medical problems.
RACLAB
MuhammedShames's Repositories
MuhammedShames/ElectroBot
MuhammedShames/Machine_Learning_with_R
In this repository I will be sharing some basic R codes, mostly working on Neural Networks and different Deep learning applications.
MuhammedShames/Are-Deep-Learning-Classification-Results-Obtained-on-CT-Scans-Fair-and-Interpretable-
MuhammedShames/fastMRI
A large-scale dataset of both raw MRI measurements and clinical MRI images.
MuhammedShames/Low-Dose-CT-Image-Enhancement-
https://arxiv.org/abs/2310.20265
MuhammedShames/MRNET-For-Knee-Diagnosis
Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet
MuhammedShames/Neural-network-representations-for-the-inter--and-intra-class-common-vector-classifiers
https://doi.org/10.1016/j.dsp.2023.104205
MuhammedShames/Pattern-Recognition-Lab.
Pattern Recognition Laboratory consists of a group of researchers from different universities, applying their machine learning and AI knowledge on real life medical problems.
MuhammedShames/RACLAB