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Cincinnati children's hospital medical center
- Cincinnati Ohio
- https://www.cincinnatichildrens.org/research/divisions/r/radiology/labs/he/meet
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Predicting age regression from brain MRI with 3D ResUnets and ResNext implemented on PyTorch
[NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models
An unofficial implementation of W-Net for crowd counting.
Official Implement of CVPR 2021 paper “Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting”
Code to reproduce the results in "Pulmonary nodule classification in lung cancer from 3D thoracic CT scans"
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.
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.
Machine Learning for Neuroscience Module, Spring 2023 (https://www.imperial.ac.uk/study/courses/postgraduate-taught/translational-neuroscience/)
To convert dicom file to nrrd file, and use pyradiomics to extract features.
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
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, s…
A gathered set of my NLP introduction through exploring the Drug.com Drug Reviews dataset.
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.
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.
Visual Explanations From Deep 3D Convolutional Neural Networks for Alzheimer's Disease Classification
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Video Swin Transformer - PyTorch
pytorch application for 3D classification using medical images
MATLAB example of deep learning for image domain conversion
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 Ne…
Code and data for paper "Deep Painterly Harmonization": https://arxiv.org/abs/1804.03189
[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 imag…