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1d-2d-segmentation-autoencoder-tf2-keras

1D and 2D Segmentation Models with options such as Deep Supervision, Guided Attention, BiConvLSTM, Autoencoder, etc.

2.5nmgnp200

Geant4 simulation of the interaction of 2.5 nm hollow gold nanoparticle and 200 keV photons

2020radres_interactionprobability

Calculation of radial dose and interaction probability with 150kVp, 6MV, and Ir-192 (Geant4.10.5).

ai-song-cover-rvc

All in One Version : Youtube WAV Download, Separating Vocal, Splitting Audio, Training, and Inference Using Google Colab

aperturecomplexity

Python 3.x port of the Eclipse ESAPI plug-in script used in the study : Predicting deliverability of volumetric-modulated arc therapy (VMAT) plans using aperture complexity analysis

assignment-1

automated-plan-checking

Automated DICOM RTPlan Checking

bigdata-notes

大数据入门指南 :star:

blenderproc

A procedural Blender pipeline for photorealistic training image generation

bpartis

Official implementation of Bayesian Particle Instance Segmentation for Electron Microscopy Image Quantification (JCIM 2021).

bragg-peak

Geant4 code to simulate dose deposition in water tub using scoring volumes

cellcountcv

This repository contains the code and examples accompaining our preprint https://doi.org/10.1101/867218

cnms_ml_in_ms_workshop_2018

CNMS User Meeting Workshop 2018: Machine learning in Materials Science with Python

conrad

convex radiation treatment planning

dd_net

code for the paper entitled "A Sparse-View CT Reconstruction Method Based on Combination of DenseNet and Deconvolution"

deep-tumour-spheroid

deepflash

Deep learning pipeline for segmentation of fluorescent labels in microscopy images

deepflash2

A deep-learning pipeline for segmentation of ambiguous microscopic images.

deeplearning_for_vis-nir_spectra

Deep Learning models applied to the analysis of VIS-NIR spectral data

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

deeptrack-2.0-app

differentiable_volumetric_rendering

This repository contains the code for the CVPR 2020 paper "Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision"

dltk

Deep Learning Toolkit for Medical Image Analysis

dosepredcition

DosePredcition for Accelerated Planning of Rectal Cancer Radiotherapy

example-health-machine-learning

This code pattern shows you how to train a machine learning model to predict type 2 diabetes using synthesized patient health records.

fastai-code-collection

FastAI V2 and V1 Code Examples

flashgamma

Analysis of radiotherapy dose distributions

fluence_maps

Deep learning models to predict the gamma index of treatment plans based on calculated fluence maps for intensity modulated radiation therapy (IMRT).

fractaldna

Python routines for generating simple models of DNA

g4linac_mt

G4Linac_MT, a simple-to-use open source multithreaded code developed to facilitate the use of Geant4 C++ toolkit for the simulation of medical linear accelerator