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SCR-DL
PublicScar_enhancement
PublicNICM_ICD_Radiomics
PublicFastCSE
PublicCRISPFlow
PublicCineROI
PublicRadiomics_Histology_PCA
PublicREGAIN
PublicThe 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.SimulationPhysicsMR
PublicDENT
PublicDRAPR
PublicWe implemented a 3D (2D+time) convolutional neural network to suppress streaking artifacts from undersampled radial cine images. We trained the network using synthetic real-time radial cine images simulated using ECG-gated segmented Cartesian k-space data, which was acquired from 503 patients during breath-hold and at rest. Further, we implement…Multicenter_MyoMapNet
PublicRealTimeTaggingSSFP
PublicMyoMapNet
PublicWe implemented a FC that uses pixel-wise T1-weighted signals and corresponding inversion time to estimate T1 values from a limited number of T1-weighted images. we studied how training the model using native, post-contrast T1 and a combination of both could impact performance of the MyoMapNet. We also explored two choices of number of T1 weighte…Radiomics-SCD-HCM
PublicDL-Rad-ScarPrediction
PublicML-Predtiction-NICM
PublicMyoMapUnet
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 (c) encoder-decoder networks with skip connections (ResUNet, U-Net). Modified Look-Locker Inversion Recovery (MOLLI) images from 749 patients at 3T wer…