Cardiovascular MR Center at Harvard
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- United States of America
- https://cardiacmr.hms.harvard.edu/
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ImageSharpenessMeasurement
ImageSharpenessMeasurement PublicThe repository contains a source code for measuring image sharpness. Image sharpness is defined as the absolute gradient of intensity profile extracted from the normalized image.
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Myocardial_Scar_Detection
Myocardial_Scar_Detection PublicCode for the paper "Gadolinium-Free Cardiac MRI Myocardial Scar Detection by 4D Convolution Factorization" MICCAI2023
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MyoMapUnet
MyoMapUnet PublicWe implemented and tested three different classes of deep learning architectures for MyoMapNet: (a) a fully connected neural network (FC), (b) convolutional neural networks (VGG19, ResNet50), and (…
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Repositories
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HMS-CardiacMR/NICM_ICD_Radiomics’s past year of commit activity - Radiomics_Histology_NIDCM Public
HMS-CardiacMR/Radiomics_Histology_NIDCM’s past year of commit activity - Radiomics_Histology_PCA Public
HMS-CardiacMR/Radiomics_Histology_PCA’s past year of commit activity - Myocardial_Scar_Detection Public
Code for the paper "Gadolinium-Free Cardiac MRI Myocardial Scar Detection by 4D Convolution Factorization" MICCAI2023
HMS-CardiacMR/Myocardial_Scar_Detection’s past year of commit activity - REGAIN Public
The repository contains a source code for Resolution-Enhancement-Generative-Adversarial-Inline-Network (REGAIN). REGAIN is a generative adversarial neural network for REGAINing image sharpness and Spatial resolution. The trained network generates a resolution-enhanced image in the Phase-encoding (ky) direction in MRI.
HMS-CardiacMR/REGAIN’s past year of commit activity - SimulationPhysicsMR Public
HMS-CardiacMR/SimulationPhysicsMR’s past year of commit activity