Pinned Repositories
2021-AAAI-CC
Code for the paper "Contrastive Clustering" (AAAI 2021)
2DUnet-trail
Unet2d for brats segmentation.
3D-MRI-brain-tumor-segmentation-using-autoencoder-regularization
Pytorch implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. [https://arxiv.org/abs/1810.11654]
albumentations
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Augmentor3D
A module for 3D image augmentations for deep learning, specifically medical images such as CT, MRI.
awesome-self-supervised-learning
A curated list of awesome self-supervised methods
Jesse-Lab
R2D2-GAN
‘‘R2D2-GAN: Robust Dual-Discriminator Generative Adversarial Network for Microscopy Hyperspectral Image Super-Resolution,’’ submitted to IEEE TRANSACTIONS ON MEDICAL IMAGING
Self-supervised-method-for-Melanoma-Segmentation
JIANet: Jigsaw-Invariant Self-supervised Learning of Auto-encoder Based Reconstruction for Melanoma Segmentation
TSNE-UMAP-Embedding-Visualisation
A Simple and easy to use way to Visualise Embeddings!
Jessejx's Repositories
Jessejx/R2D2-GAN
‘‘R2D2-GAN: Robust Dual-Discriminator Generative Adversarial Network for Microscopy Hyperspectral Image Super-Resolution,’’ submitted to IEEE TRANSACTIONS ON MEDICAL IMAGING
Jessejx/Self-supervised-method-for-Melanoma-Segmentation
JIANet: Jigsaw-Invariant Self-supervised Learning of Auto-encoder Based Reconstruction for Melanoma Segmentation
Jessejx/TSNE-UMAP-Embedding-Visualisation
A Simple and easy to use way to Visualise Embeddings!
Jessejx/2021-AAAI-CC
Code for the paper "Contrastive Clustering" (AAAI 2021)
Jessejx/2DUnet-trail
Unet2d for brats segmentation.
Jessejx/3D-MRI-brain-tumor-segmentation-using-autoencoder-regularization
Pytorch implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. [https://arxiv.org/abs/1810.11654]
Jessejx/albumentations
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Jessejx/Augmentor3D
A module for 3D image augmentations for deep learning, specifically medical images such as CT, MRI.
Jessejx/awesome-self-supervised-learning
A curated list of awesome self-supervised methods
Jessejx/BraTs
PyTorch & Keras implementation for BraTs (Brain Tumor Segmentation)
Jessejx/Jesse-Lab
Jessejx/brats_segmentation-pytorch
3d unet + vae, repoduce brats2018 winner solution
Jessejx/deepcluster
Deep Clustering for Unsupervised Learning of Visual Features
Jessejx/disentangling-vae
Experiments for understanding disentanglement in VAE latent representations
Jessejx/External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Jessejx/flexible-yolov5
More readable and flexible yolov5 with more backbone(resnet, shufflenet, moblienet )
Jessejx/Jessejx
Config files for my GitHub profile.
Jessejx/med2image
Converts medical images to more displayable formats, e.g. NIfTI to jpg.
Jessejx/medicaldetectiontoolkit
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
Jessejx/memae
Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection (MemAE)
Jessejx/memAE-Pytorch
Memory-augmented Deep Autoencoder (https://arxiv.org/abs/1904.02639) for Vector Data
Jessejx/pacnet
Pixel-Adaptive Convolutional Neural Networks (CVPR '19)
Jessejx/Pigmented-skin-lesions-classification
在投图象图形学报论文的代码
Jessejx/Pretext-Invariant-Representations
Implementation of the paper Self-Supervised Learning of Pretext-Invariant Representations
Jessejx/pytorch-unet-resnet-50-encoder
Jessejx/standard-readme
A standard style for README files
Jessejx/Unet-Segmentation-Pytorch-Nest-of-Unets
Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet
Jessejx/vae_iop
pytorch implementation for "Variational Autoencoder with Implicit Optimal Priors".