appurvakapil Goto Github PK

3d-gan-superresolution

3D super-resolution using Generative Adversarial Networks

3d-super-res-cnn

antspynet

Medical image analysis framework merging ANTsPy and deep learning

antsrnet

Medical image analysis framework merging ANTsR and deep learning

appurvakapil

Config files for my GitHub profile.

awesome-super-resolution

A curated list of awesome super-resolution resources.

awesome-super-resolution-1

lots of single image super resolution model implementations in tensorflow

brain-tumor-detection-in-3d-mris-using-dcgan

Using DCGAN for segmenting brain tumors from brain image scans

brain-tumour-classification-brats2013

dataset-uta4-dicom

:bar_chart: [AVI 2020] UTA4: Medical Imaging DICOM Files Dataset

deep-learning-for-medical-applications

Deep Learning Papers on Medical Image Analysis

enhgan

Enhancement GAN

esgan

Enhancement and Segmentation GAN

esrgan

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.

gan-mri

Code repository for Frontiers article 'Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNIT'

gans

Generative Adversarial Networks implemented in PyTorch and Tensorflow

gans-awesome-applications

Curated list of awesome GAN applications and demo

image-super-resolution

Implementation of Super Resolution CNN in Keras.

keras-gan

Keras implementations of Generative Adversarial Networks.

keras-srgan

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras

luna16

Developing a well-documented repository for the Lung Nodule Detection task on the Luna16 dataset. This work is inspired by the ideas of the first-placed team at DSB2017, "grt123".

lungcancerdetection

Use CNN to detect nodules in LIDC dataset.

medical-image-synthesis

It describes MRI to CT conversion, 3T to 7T conversion using Generative Adversarial Network (GAN).

medical_image_super_resolution

Implementation of Medical Image super Resolution with SRGAN and Different Variant

mri-superresolution

Deep Learning Project Utilizing GAN Architectures for Super-Resolution of MRI Images

mrnet-competition

My implementation for the MRNet competition hosted by the Stanford ML group

open_brats2020

Top 10 brats 2020 Solution

srcnn-tf2

Implementation and experimentation of the SRCNN model in TensorFlow 2.0

srgan-keras

Implementation of SRGAN in Keras. Try at: www.fixmyphoto.ai

super-resolution

Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution