- Melbourne, Australia
- ashkanpakzad.github.io
- @AshkanPakzad
Highlights
- Pro
Block or Report
Block or report ashkanpakzad
Contact GitHub support about this user’s behavior. Learn more about reporting abuse.
Report abuseLists (12)
Sort Name ascending (A-Z)
Language
Sort by: Recently starred
Starred repositories
ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.
Fast and differentiable MS-SSIM and SSIM for pytorch.
Attention-guided CNN for image denoising(Neural Networks,2020)
This repository includes implementation of CTformer on Low-dose CT Denoising
A collection of resources on applications of Transformers in Medical Imaging.
img2table is a table identification and extraction Python Library for PDF and images, based on OpenCV image processing
Hyper-parameter optimization for sklearn
Survival analysis built on top of scikit-learn
DeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks
Repository for CenTime: Event-Conditional Modelling of Censoring in Survival Analysis
DeepSurv is a deep learning approach to survival analysis.
Segment Anything in Medical Images
Skeletonize densely labeled 3D image segmentations with TEASAR. (Medial Axis Transform)
The PyTorch re-implement of a 3D CNN Tracker to extract coronary artery centerlines with state-of-the-art (SOTA) performance. (paper: 'Coronary artery centerline extraction in cardiac CT angiograph…
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
A pure JavaScript medical research image viewer.
Using four different CNN architectures in an endeavor to detect built heritage in need of preservation and approximately localize the existent damage therein using the GradCam technique.
Tool for robust segmentation of >100 important anatomical structures in CT and MR images
Structure and position aware graph neural network for airway labeling
A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.
Convert NIfTI volume to triangulated mesh using marching cubes
MATLAB Integration for Jupyter enables you to run MATLAB code in Jupyter Notebooks and other Jupyter environments. You can also open MATLAB in a browser directly from your Jupyter environment to us…
Official Pytorch Implementation for "Text2LIVE: Text-Driven Layered Image and Video Editing" (ECCV 2022 Oral)
🔮 ChatGPT Desktop Application (Mac, Windows and Linux)