Source code for my blog post tutorial about how to use deep learning on MR images.
Water-fat(-silicone) separation with hierarchical multi-resolution graph-cuts
(MIDL 2023) Code for "Reverse Engineering Breast MRIs: Predicting Acquisition Parameters Directly from Images"
Official repository of "Simulating Dynamic Tumor Contrast Enhancement in Breast MRI using Conditional Generative Adversarial Networks"
Code for our paper "Deep Learning for Breast MRI Style Transfer with Limited Training Data".
[MAMA-SYNTH Challenge] Official PyTorch implementation of our Top-3 solution: "Supervised Virtual Contrast Enhancement in Breast MRI with Multi-domain Losses and Lesion-aware Decoding"
Reproducible ResNet-50 analysis of magnetic-field-strength shortcut learning in breast MRI slice classification.
Diffusion-model research for temporal super-resolution of breast DCE-MRI with PSNR, SSIM, and LPIPS evaluation
FGT segmentation in breast MRI using U-Net
Predictive Enhancement Calibration for latent breast MRI virtual contrast enhancement
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