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tayebiarasteh / federated_he

Star 32

Federated learning with homomorphic encryption enables multiple parties to securely co-train artificial intelligence models in pathology and radiology, reaching state-of-the-art performance with privacy guarantees.

deep-learning pytorch medical-imaging image-classification segmentation image-segmentation mri-images homomorphic-encryption differential-privacy medical-image-analysis federated-learning mri-brain mri-segmentation pysyft federated-learning-framework
  • Updated Dec 7, 2023
  • Python

raun1 / MICCAI2018---Complementary_Segmentation_Network-Raw-Code

Star 24

The following is a new architecture for robust segmentation. It may perform better than a U-Net :) for binary segmentation. I will update the code when I have some spare time within the next month. However you can simply read this one and will soon notice the pattern after a bit

unet-image-segmentation miccai-2018 comp-net complementary-segmentation-network mri-brain invariant-to-large-distortions state-of-art-general-segmentation
  • Updated Jul 12, 2021
  • Python

mkang315 / PK-YOLO

Star 18

[WACV'25] Official implementation of "PK-YOLO: Pretrained Knowledge Guided YOLO for Brain Tumor Detection in Multiplane MRI Slices".

deep-neural-networks yolo object-detection pretrained-models medical-image-computing medical-image-processing computer-vision-algorithms deep-learning-framework medical-image-analysis focal-loss sparse-convolution self-supervised-learning mri-brain multiplane-images lesion-detection pretraining masked-autoencoder detr masked-image-modeling br35h-brain-tumor-detection-2020
  • Updated Dec 19, 2025
  • Python

kaledhoshme123 / VAE-CycleGAN-MRI-CT-Scan-Images

Star 13

The study works on generating CT images from MRI images, where unsupervised learning was used using VAE-CycleGan. Since the number of samples included in the data set used in the study, and therefore in this case we are in a state of epistemic uncertainty, therefore probabilistic models were used in forming the latent space.

tensorflow keras cnn generative-adversarial-network gan image-generation convolutional-neural-networks mri-images variational-autoencoder cyclegan image-to-image-translation ct-images mri-reconstruction ct-reconstruction mri-brain ct-scan-images
  • Updated Sep 23, 2024
  • Jupyter Notebook

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