almahdir1
Dr. Ali is a Research Fellow in the Imaging Research Center at the Cincinnati Children’s Hospital Medical Center.
Cincinnati children's hospital medical centerCincinnati Ohio
almahdir1's Stars
Tenglon/3d_swin_transformer
Nasmasim/brainMRI
Predicting age regression from brain MRI with 3D ResUnets and ResNext implemented on PyTorch
princeton-nlp/tree-of-thought-llm
[NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models
ZhengPeng7/W-Net-Keras
An unofficial implementation of W-Net for crowd counting.
chen-judge/RGBTCrowdCounting
Official Implement of CVPR 2021 paper “Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting”
MMIV-ML/Lung-CT-fastai-2020
Code to reproduce the results in "Pulmonary nodule classification in lung cancer from 3D thoracic CT scans"
facebookresearch/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
amine0110/SAM-Medical-Imaging
TangYong1975/deeplabv3-swintransformer
yingkaisha/keras-unet-collection
The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.
PBarnaghi/ML4NS
Machine Learning for Neuroscience Module, Spring 2023 (https://www.imperial.ac.uk/study/courses/postgraduate-taught/translational-neuroscience/)
yuju13488/pyradiomics_usage
To convert dicom file to nrrd file, and use pyradiomics to extract features.
ahmedbahaaeldin/From-0-to-Research-Scientist-resources-guide
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
MediaBrain-SJTU/MedKLIP
The official code for MedKLIP: Medical Knowledge Enhanced Language-Image Pre-Training in Radiology. We propose to leverage medical specific knowledge enhancing language-image pre-training method, significantly advancing the ability of pre-trained models to handle unseen diseases on zero-shot classification and grounding tasks.
akhilfsu/DrugReviewClassification
BrittonWinterrose/Drug_Review_NLP
A gathered set of my NLP introduction through exploring the Drug.com Drug Reviews dataset.
aarifjahan/Drug-Rating-Prediction-Portal-from-Drug-Reviews-Dataset-NLP-ML
NLP techniques such as named entity recognition, sentiment analysis, topic modeling, text classification with Python to predict sentiment and rating of drug from user reviews.
joaomvg/uci-drug-review-dataset
NLP analysis for UCI drug-reviews dataset. Implementation of SKlearn models and Pytorch feed-forward and LSTM neural networks. Includes AWS training and deployment for both SKlearn and Pytorch models.
west-gates/3DCNN-Vis
Visual Explanations From Deep 3D Convolutional Neural Networks for Alzheimer's Disease Classification
qubvel-org/segmentation_models.pytorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
RSNA/AI-Deep-Learning-Lab-2022
haofanwang/video-swin-transformer-pytorch
Video Swin Transformer - PyTorch
seokhwanko90/pytorch_3D_medical_classification
pytorch application for 3D classification using medical images
matlab-deep-learning/Image-domain-conversion-using-CycleGAN
MATLAB example of deep learning for image domain conversion
decouples/Matlab_deep_learning
《Matlab计算机视觉与深度学习实战》代码
xyimaging/sMRI_harmonization
rpomponio/neuroHarmonize
Harmonization tools for multi-site neuroimaging analysis. Implemented as a python package. Harmonization of MRI, sMRI, dMRI, fMRI variables with support for NIFTI images. Complements the work in Neuroimage by Pomponio et al. (2019).
pnlbwh/dMRIharmonization
Multi-site dMRI harmonization
luanfujun/deep-painterly-harmonization
Code and data for paper "Deep Painterly Harmonization": https://arxiv.org/abs/1804.03189
bcmi/Image-Harmonization-Dataset-iHarmony4
[CVPR 2020] The first large-scale public benchmark dataset for image harmonization. The code used in our paper "DoveNet: Deep Image Harmonization via Domain Verification", CVPR2020. Useful for image harmonization, image composition, etc.