bkainz Goto Github PK

attention-gated-networks

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

bkainz.github.io

cnn_depth_tensorflow

depth estimation using tensorflow

ct_lung_segmentation

docker argo fork

deeppose

draw2d_js.app.brainbox

see here http://freegroup.github.io/draw2d_js.app.brainbox

drop2

drop2 - intensity-based image registration

fastflownet

FastFlowNet: A Lightweight Network for Fast Optical Flow Estimation (ICRA 2021)

fastreg

fast non-rigid medical image registration via accelerated optimisation on the manifold of diffeomorphisms

fbrain

fetalreconstruction

GPU accelerated source code for motion compensation of multi-stack MRI data

gpuview

A lightweight web dashboard for monitoring GPU usage

idealab.github.io

irtk

The Image Registration Toolkit

lungmask

Automated lung segmentation in CT

mirtk

The Medical Image Registration ToolKit (MIRTK), the successor of the IRTK, contains common CMake build configuration files, core libraries, and basic command-line tools. Extension packages are hosted by the MIRTK GitHub group at

mitk

The Medical Imaging Interaction Toolkit.

ml-revision

Revision notes for machine learning

monai

AI Toolkit for Healthcare Imaging

mrimotioncompensation

GPU accelerated approach to compensate motion from multiple stacks of MRI slices.

mt_lecture_slides

These are the lecture slides used at FAU Erlangen-Nuremberg, Germany for the lecture "Medical Engineering". This class gives a complete and comprehensive introduction to the fields of medical imaging systems, as designed for a broad range of applications. The authors of the book first explain the foundations of system theory and image processing, before highlighting several modalities in a dedicated chapter. The initial focus is on modalities that are closely related to traditional camera systems such as endoscopy and microscopy. This is followed by more complex image formation processes: magnetic resonance imaging, X-ray projection imaging, computed tomography, X-ray phase-contrast imaging, nuclear imaging, ultrasound, and optical coherence tomography. Open Access Link to the Text Book: https://link.springer.com/book/10.1007/978-3-319-96520-8#about Link to Video Recordings on YouTube: https://www.youtube.com/watch?v=vvftvjnXzsY&list=PLpOGQvPCDQzsgK1XuhUXO8r9M4WRqhvDf

multinerf

A Code Release for Mip-NeRF 360, Ref-NeRF, and RawNeRF

paraview

VTK-based Data Analysis and Visualization Application

pyro

Deep universal probabilistic programming with Python and PyTorch

ratchet

RAdiological Text Captioning for Human Examined Thoraxes

raytracer-in-excel

Raytracer in our favourite spreadsheet application!

score-mri

shaderlabframework

The Shader Lab Framework is a teaching tool to solidify the fundamentals of Computer Graphics with OpenGL 4.0 and GLSL.

shaderlabweb

sononet-weights

Model descriptions and weights for all the variations of the SonoNet for real-time fetal standard scan plane detection.