Pinned Repositories
caffe
Caffe fork that supports Conditional Random Fields (CRF) and Weight Maps
CAP-Automated-Pipeline
Fully-automated, deep-learning based pipeline to generate biventricular cardiac models from raw cine SSFP MRI images.
CAP-Automation
A repository containing tools for automating statistical cardiac modeling in association with the Cardiac Atlas Project.
CMRG-ct2mri
Directions and python scripts for generating CIM-compatible DICOM files from CT images for statistical cardiac modeling.
Curriculum-Modeling
In this repository, we will explore the impact of interleaved vs. blocked training schedules on the ability of a multi-task neural network to learn a radiology task. If the neural networks demonstrate results consistent with human learners, it may be possible to simulate curriculum changes and human subject experimentation using machine learning.
GCLoss
A PyTorch implementation of the gradient consistency loss function.
NSQIP_ML
A repository to develop predictive algorithms for the NSQIP pituitary tumor dataset
portfolio
Personal website
Python-Projects-in-Machine-Learning
A collection of machine learning projects, programmed in python and implemented using Jupyter Notebooks
SlideSeg
A Python module that produces image patches and annotation masks from whole slide images for deep learning in digital pathology.
btcrabb's Repositories
btcrabb/SlideSeg
A Python module that produces image patches and annotation masks from whole slide images for deep learning in digital pathology.
btcrabb/GCLoss
A PyTorch implementation of the gradient consistency loss function.
btcrabb/CAP-Automation
A repository containing tools for automating statistical cardiac modeling in association with the Cardiac Atlas Project.
btcrabb/portfolio
Personal website
btcrabb/Python-Projects-in-Machine-Learning
A collection of machine learning projects, programmed in python and implemented using Jupyter Notebooks
btcrabb/caffe
Caffe fork that supports Conditional Random Fields (CRF) and Weight Maps
btcrabb/CAP-Automated-Pipeline
Fully-automated, deep-learning based pipeline to generate biventricular cardiac models from raw cine SSFP MRI images.
btcrabb/CMRG-ct2mri
Directions and python scripts for generating CIM-compatible DICOM files from CT images for statistical cardiac modeling.
btcrabb/Curriculum-Modeling
In this repository, we will explore the impact of interleaved vs. blocked training schedules on the ability of a multi-task neural network to learn a radiology task. If the neural networks demonstrate results consistent with human learners, it may be possible to simulate curriculum changes and human subject experimentation using machine learning.
btcrabb/NSQIP_ML
A repository to develop predictive algorithms for the NSQIP pituitary tumor dataset