duennbart / masterthesis_VAELinks
VAE, Variational Autoencoder, Deep Learning, Medical Imaging
☆21Updated 3 years ago
Alternatives and similar repositories for masterthesis_VAE
Users that are interested in masterthesis_VAE are comparing it to the libraries listed below
Sorting:
- Explainability of Deep Learning Models☆29Updated 2 years ago
- Corresponding code of 'Quiros A.C., Murray-Smith R., Yuan K. Pathology GAN: Learning deep representations of cancer tissue. Proceedings o…☆98Updated 4 years ago
- Deep Convolutional Autoencoders for reconstructing magnetic resonance images of the healthy brain☆39Updated 4 years ago
- Deep learning cardiac motion analysis for survival prediction☆84Updated 2 years ago
- Official Pytorch Implementation of "Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Network" (accepted by MICCAI 20…☆132Updated 3 years ago
- Chainer implementation of Bayesian Convolutional Neural Networks (BCNNs)☆51Updated 5 years ago
- An Pytorch Implementation of Variational AutoEncoder for 3D MRI Brain Image☆35Updated 5 years ago
- Official Pytorch implementation of model in "Tensor Networks for Medical Image Classification", Raghavendra Selvan & Erik Dam, MIDL 2020☆27Updated 3 years ago
- Convolutional AutoEncoder application on MRI images☆78Updated 8 years ago
- demo of a vae model for pancreas segmentation.☆28Updated 5 years ago
- Exploration of the latent space of generative models on Lung-CT scans☆16Updated 2 years ago
- Official code for Breast Cancer Histopathology Image Classification and Localization using Multiple Instance Learning☆79Updated 5 years ago
- Official Pytorch Implementation for y-Aware Contrastive Learning☆60Updated 2 years ago
- Migrate to PyTorch. Re-implementation of Bayesian Convolutional Neural Networks (BCNNs)☆59Updated 5 years ago
- ☆36Updated 2 years ago
- Python implementation of the STAPLE segmentation algorithm☆31Updated last month
- This repo contains Grad-CAM for 3D volumes.☆81Updated 5 years ago
- A Tensorflow Implementation of Brain Tumor Segmentation using Topological Loss☆33Updated 6 years ago
- The RISE Journal Club aims to create a friendly environment to discuss the latest state-of-the-art papers in the areas of medical image …☆69Updated last month
- PyTorch implementation of the MRNet paper, developed for the MRNet Competition hosted by the Stanford ML Group☆53Updated 6 years ago
- cox loss function and c-index calculation with pytorch☆12Updated 6 years ago
- Code accompanying the paper Neural Image Compression for Gigapixel Histopathology Image Analysis☆49Updated 2 years ago
- This Repo containes the implemnetation of generating Guided-GradCAM for 3D medical Imaging using Nifti file in tensorflow 2.0. Different …☆105Updated 5 years ago
- SC-GAN: 3D self-attention conditional GAN with spectral normalization for multi-modal neuroimaging synthesis☆34Updated 2 years ago
- A PyTorch implementation of the Probabilistic U-Net, applied to probabilistic glioma growth☆43Updated 6 years ago
- Official code for "Self-Supervised driven Consistency Training for Annotation Efficient Histopathology Image Analysis" Published in Medic…☆60Updated 3 years ago
- [ICMLA'19] [Tensorflow] Classifying different Retinal Diseases using Deep Learning from Optical Coherence Tomography Images☆33Updated 4 years ago
- medigan - A Python Library of Pretrained Generative Models for Medical Image Synthesis☆190Updated last year
- An unsupervised (or self-supervised) loss function for binary image segmentation (TensorFlow)☆71Updated 4 years ago
- My implementation for the MRNet competition hosted by the Stanford ML group☆40Updated 6 years ago