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cat2tom's Projects

patchmatching icon patchmatching

PatchMatching and Generalized Patch Matching algorithm for Image Editing and Computer Vision

physics-arx icon physics-arx

Physics-based data augmentation library for quantifying CT and CBCT images in radiotherapy [PMB'23, PMB'21, Medical Physics'21, AAPM'21]

pinnpy icon pinnpy

Python module to parse Philips Pinnacle3 TPS Files.

pneumonia_detection icon pneumonia_detection

In this project, I will analyze data from the NIH Chest X-ray 2D Medical image dataset and train a deep learning model to classify a given chest x-ray for the presence or absence of pneumonia.

portpy icon portpy

First opensource radiation treatment planning system in Python

predaq icon predaq

Implementation of the paper "Predicting gamma passing rates for portal dosimetry based IMRT QA using machine learning"

pseudo-ct_generation icon pseudo-ct_generation

Matlab Script to generate the dicom files of pCT with Unique Identifiers as described in Maspero et al (2016)

puncc icon puncc

👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.

py-r-fcn icon py-r-fcn

R-FCN with joint training and python support

py4j icon py4j

Py4J enables Python programs to dynamically access arbitrary Java objects

pyanno4rt icon pyanno4rt

Python-based Advanced Numerical Nonlinear Optimization for Radiotherapy

pydicom icon pydicom

Read, modify and write DICOM files with python code

pyelastix icon pyelastix

Thin wrapper around elastix - a toolbox for rigid and nonrigid registration of images

pygamma icon pygamma

Python function for comparing two radiotherapy dose distributions using 'gamma evaluation'.

pylar icon pylar

This repository contains python implementations on Low-rank Atlas-to-image Registration framework and its applications in medical image analysis and computer vision.

pymedphys icon pymedphys

A common, core Python package for Medical Physics

pyradise icon pyradise

PyRaDiSe: A Python package for DICOM-RT-based auto-segmentation pipeline construction and DICOM-RT data conversion

pythonadaptivecode icon pythonadaptivecode

This is code for solving two-stage stochastic optimization problems in radiation threapy treatment planning

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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