Pinned Repositories
2020-CBMS-DoubleU-Net
DoubleU-Net for Semantic Image Segmentation in TensorFlow & Pytorch (Nominated for Best Paper Award (IEEE CBMS))
2020-prenatal-sono
3D-GAN
brain tumor segmentation
morphsnakes
Morphological snakes for image segmentation and tracking
Multitasking
Multitasking UNet, Attention-UNet and Residual-Attention-UNet
nnUNet
OpenCV2-Python-Tutorials
This repo contains tutorials on OpenCV-Python library using new cv2 interface
python-codes-
shell-codes
UPES-MCA_DL
syedsajidhussain's Repositories
syedsajidhussain/Face-Detection
Face detection streamlit app using cascade classifiers
syedsajidhussain/five-video-classification-methods
Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow
syedsajidhussain/DWI-inpainting
Reconstructing cropped data in 3D diffusion MRI images using variational autoencoders
syedsajidhussain/social-distancing-detection-usage
syedsajidhussain/sonocrop
Prepare ultrasound videos for machine learning-- crop and remove static clutter from ultrasound video.
syedsajidhussain/Brain-Tumor-Segmentation-and-Survival-Prediction-using-Deep-Neural-Networks
Use of state of the art Convolutional neural network architectures including 3D UNet, 3D VNet and 2D UNets for Brain Tumor Segmentation and using segmented image features for Survival Prediction of patients through deep neural networks.
syedsajidhussain/fODF_deep_learning
Learning to estimate fODF
syedsajidhussain/Data-Science-Cheatsheet
syedsajidhussain/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]
syedsajidhussain/AI-for-Medical-Diagnosis
This repo contain my assignment notebooks for the Coursera AI for Medicine Specialization course. The link to the course: https://www.coursera.org/specializations/ai-for-medicine
syedsajidhussain/usal_echo_public
Automate process for view classification of the Apical 4 chamber, Apical 2 chamber and Parasternal long axis. Segmentation of the Apical 4 chamber and Apical 2 chamber. Calculate measurements of the Ejection Fraction of the heart to classify it as normal, abnoral or grayzone.
syedsajidhussain/OpenCV2-Python-Tutorials
This repo contains tutorials on OpenCV-Python library using new cv2 interface
syedsajidhussain/Pyadiomics-based-glioma-grading
This is a complete guide on how to do Pyradiomics based feature extraction and then, build a model to calculate the grade of glioma.
syedsajidhussain/TS2WM
syedsajidhussain/ML_Share_Doc
Machine Learning - ppts and code
syedsajidhussain/VectorFields
Scripts to create vector fields and flow maps that can be used in Unreal Engine 4 or Unity 3D for particle VFX.
syedsajidhussain/CSCI480J-AppliedMachineLearning
Coursework for NIU's CSCI480J - Applied Machine Learning course, Spring 2020 Semseter
syedsajidhussain/classification_models
Classification models trained on ImageNet. Keras.
syedsajidhussain/DeepTract
Official implementation of the paper "DeepTract: A Probabilistic Deep Learning Framework for White Matter Fiber Tractography" (by Benou and Riklin-Raviv): https://arxiv.org/abs/1812.05129. Any use of this code requires a citation of the paper.
syedsajidhussain/EEGclassification
Binary classification of EEG motor imagery data using deep learning
syedsajidhussain/lstm_multi_modal_UNet
Implementation of ICIVC 2019 paper "LSTM multi-modal UNet for Brain Tumor Segmentation"
syedsajidhussain/CNN-using-tensorflow2
syedsajidhussain/The-Learning-Documentation-Project
This documentation is about the new learning(s) and issue(s) resolvings on different aspects of academic, professional and personal thoughts. It includes(or/with links): Research topics(& resources), Programming(issues and code), Advanced Linux commands, Networking commands, bash script command utilization, Linux packages(& scripts), Machinine learning, text documentation, images, tutorial(links) and gitlab links(Personal repository links).
syedsajidhussain/Attention-Guided-CNN-for-NIH-Chest-XRAY-Dataset
In this project an Attention Guided CNN was modeled & trained on the chest XRAY dataset provided by NIH & followed the paper: Guan, Q., Huang, Y., Zhong, Z., Zheng, Z., Zheng, L. and Yang, Y. (2019). Thorax Disease Classification with Attention Guided Convolutional Neural Network.
syedsajidhussain/awesome-ai-cardiology
Awesome resources for artificial intelligence in cardiology
syedsajidhussain/AFNI_Scripts
Scripts used for fMRI data analysis in AFNI
syedsajidhussain/U-net-with-multiple-classification
syedsajidhussain/paperswithcode
scrapy
syedsajidhussain/C3D
C3D is a modified version of BVLC caffe to support 3D ConvNets.
syedsajidhussain/3d-cnn-ae
3D Convolutional Siamese AutoEncoder for learning fMRI parameteric maps