yumiko123's starred repositories

ShadeGAN

Code for ShadeGAN (NeurIPS2021)

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UCAS_Course_2019

**科学院大学2019-2020课程(秋季,春季,夏季)

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ierg6130-assignment

Assignments for course IERG 6130: Reinforcement Learning and Beyond

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3DUnetCNN

Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

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DL_Notes

DL & CV & Neural Network

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RT-quality-eval

Knowledge-based classification and evaluation for head and neck radiotherapy treatment planning using machine

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ummkd

[TMI'20] Unpaired Multi-modal Segmentation via Knowledge Distillation

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medical-imaging-datasets

A list of Medical imaging datasets.

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PyEQD2

Convert DICOM-RT dose matrices to EQD2 via Python

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awesome-matlab

A curated list of awesome Matlab frameworks, libraries and software.

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arbitrary-text-to-image-papers

A collection of arbitrary text to image papers with code (constantly updating)

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DeepLearnToolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

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dicom-numpy

Properly generate a 3D numpy array from a set of DICOM files.

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DICOMAT

Create Matlab Series Files from DICOM Datasets

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Dicomflex

Framework for processing of image stacks

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dicomat

A Dicom library for Matlab that groups 2D images into 3D volumes

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radiation-dose

Predicting radiation dose from pre-treatment patient parameters

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dosenet-raspberrypi

Raspberry Pi specific software for dosimeters.

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Medical-3D-Printing

Project I worked on for a year and a half during my undergrad, coded fully in python . The Project is used to create 3d printed moulds from a patients X-ray CT scans. These moulds lay on plastic mesh and deliver radiation therapy.

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bayesian_unet

Chainer implementation of Bayesian Convolutional Neural Networks (BCNNs)

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pyImSegm

Image segmentation - general superpixel segmentation & center detection & region growing

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open-kbp

Develop dose prediction models for knowledge-based planning in radiotherapy

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COVNet

Artificial Intelligence Distinguishes COVID-19 from Community Acquired Pneumonia on Chest CT

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