Pinned Repositories
3d-mri-brain-tumor-segmentation-using-autoencoder-regularization
Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).
3D-Scar-Quantification
Quantification of scar burden in HCM patients using 3D-UNet based architecture.
autocrop
:relieved: Automatically detects and crops faces from batches of pictures.
CaPTk
Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk/
cocoapi
COCO API - Dataset @ http://cocodataset.org/
dcm2niix
dcm2nii DICOM to NIfTI converter: compiled versions available from NITRC
Deep-Learning-with-PyTorch-1.x
Deep Learning with PyTorch 1.x, published by Packt
Deep-Learning-with-R-Cookbook
Deep Learning with R Cookbook, published by Packt
DeepCAC
Fully automatic coronary calcium risk assessment using Deep Learning.
nnUNet
phillipchoi007's Repositories
phillipchoi007/nnUNet
phillipchoi007/3d-mri-brain-tumor-segmentation-using-autoencoder-regularization
Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).
phillipchoi007/autocrop
:relieved: Automatically detects and crops faces from batches of pictures.
phillipchoi007/CaPTk
Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk/
phillipchoi007/cocoapi
COCO API - Dataset @ http://cocodataset.org/
phillipchoi007/dcm2niix
dcm2nii DICOM to NIfTI converter: compiled versions available from NITRC
phillipchoi007/Deep-Learning-with-R-Cookbook
Deep Learning with R Cookbook, published by Packt
phillipchoi007/DeepCAC
Fully automatic coronary calcium risk assessment using Deep Learning.
phillipchoi007/DeepLabV3Plus-Pytorch
DeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes
phillipchoi007/DeepLearning101
Code about DeepLearning101 Book
phillipchoi007/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
phillipchoi007/FewShot_GAN-Unet3D
Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning
phillipchoi007/gradcam_plus_plus-pytorch
A Simple pytorch implementation of GradCAM and GradCAM++
phillipchoi007/HD-BET
MRI brain extraction tool
phillipchoi007/hello-world
new repository
phillipchoi007/image
Computer Vision and Image Recognition algorithms for R users
phillipchoi007/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.
phillipchoi007/MONAI
AI Toolkit for Healthcare Imaging
phillipchoi007/mri
phillipchoi007/nfnets-pytorch
NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch
phillipchoi007/nnU-Net_OPSCC
Brief code for training multi-modal deep learning segmentation models of oropharyngeal squamous cell carcinoma on CT and MRI using nnU-Net framework.
phillipchoi007/pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
phillipchoi007/PyTorch-Computer-Vision-Cookbook
PyTorch Computer Vision Cookbook, Published by Packt
phillipchoi007/reticulate
R Interface to Python
phillipchoi007/the-gan-zoo
A list of all named GANs!
phillipchoi007/thyroid-us
Evaluation of Thyroid Nodules Seen on Ultrasound Using Multi-task Deep Convolutional Neural Network (CNN)
phillipchoi007/torch
R Interface to Torch
phillipchoi007/torchvision
R interface to torchvision
phillipchoi007/tutorials
PyTorch tutorials.
phillipchoi007/tutorials-1
MONAI Tutorials