pdedumast
PhD student in Life Sciences Previously, Research assistant intern at the University of Michigan, School of Dentistry
Lausanne, Switzerland
Pinned Repositories
AirplaneCrashesVisualization
Data Visualization @ EPFL - Understanding why and how to present complex data interactively in an effective manner has become a crucial skill for any data scientist. In this course, you will learn how to design, judge, build and present your own interactive data visualizations.
AppliedDataAnalysis
EPFL Course Ada
ClassificationDiagnostic
ComputeMeanShapes
From a list of VTK 3D models, this program computes the average shape.
CondylesClassification
Preliminary code used to develop the 3D Slicer extension (Shape Classification). Train a neural network with input data extracted with medical images from the maxilar region.
GROUPS
mialsuperresolutiontoolkit
The Medical Image Analysis Laboratory Super-Resolution ToolKit (MIALSRTK) consists of a set of C++ image processing tools necessary to perform motion-robust super-resolution fetal MRI reconstruction.
ML_project2
Machine Learning @ EPFL - Classifier to segment roads in satellite images
SurfaceFeaturesExtractor
Specific features are computed at each point of the 3D Model.
topograd
Topological Priors for Image segmentation
pdedumast's Repositories
pdedumast/SurfaceFeaturesExtractor
Specific features are computed at each point of the 3D Model.
pdedumast/ML_project2
Machine Learning @ EPFL - Classifier to segment roads in satellite images
pdedumast/topograd
Topological Priors for Image segmentation
pdedumast/AirplaneCrashesVisualization
Data Visualization @ EPFL - Understanding why and how to present complex data interactively in an effective manner has become a crucial skill for any data scientist. In this course, you will learn how to design, judge, build and present your own interactive data visualizations.
pdedumast/AppliedDataAnalysis
EPFL Course Ada
pdedumast/ClassificationDiagnostic
pdedumast/ComputeMeanShapes
From a list of VTK 3D models, this program computes the average shape.
pdedumast/CondylesClassification
Preliminary code used to develop the 3D Slicer extension (Shape Classification). Train a neural network with input data extracted with medical images from the maxilar region.
pdedumast/GROUPS
pdedumast/mialsuperresolutiontoolkit
The Medical Image Analysis Laboratory Super-Resolution ToolKit (MIALSRTK) consists of a set of C++ image processing tools necessary to perform motion-robust super-resolution fetal MRI reconstruction.
pdedumast/DatabaseInteractorExtension
pdedumast/DiagnosticIndexExtension
pdedumast/ExtensionsIndex
Slicer extensions index
pdedumast/FeTA_challenge
Example docker containers for the FeTA Segmentation Challenge in MICCAI 2021
pdedumast/FetalCPSeg
A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI
pdedumast/GroupsExtension
pdedumast/MeshLib
pdedumast/NiftySeg
pdedumast/niseg
Standalone image segmentation package - will supersede nipy.algorithms.segmentation
pdedumast/ProjectGUI
Small GUI using Qt4 to run the ITK Gaussian filter, in the Tutorials repository.
pdedumast/RigidAlignment
pdedumast/ShapeVariationAnalyzer
Shape modeling and classification, extract shape features
pdedumast/SurfRemesh
pdedumast/tensorflow
Computation using data flow graphs for scalable machine learning
pdedumast/tissue_segmentation_comparison
pdedumast/Tutorials
Example of a Gaussian filter