Joao Santinha (JoaoSantinha)

JoaoSantinha

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Location:Lisbon

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Joao Santinha's repositories

Medical_Image_Analysis_Workshop

Workshop on Medical Image Analysis using pydicom, SimpleITK, ITK, itkwidgets, numpy, seaborn, and matplotlib

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SIIM21_BIP

SIIM 2021 Hands-On Sessionn on Basics of Imaging Processing

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streamlit-leaderboard

Make simple competition leaderboard using streamlit in one file of code

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Label_of_Physical_Point_Medical_Image

Python script that given a list of physical coordinates and a segmentation mask returns the corresponding labels of those coordinates

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apg

Accelerated proximal gradient in R

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causalnex

A Python library that helps data scientists to infer causation rather than observing correlation.

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cnn-hnscc

Deep learning based outcome modelling from CT scans of HNSCC patients

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collageradiomics

Python Implementation of the CoLlAGe radiomics descriptor. CoLlAGe captures subtle anisotropic differences in disease pathologies by measuring entropy of co-occurrences of voxel-level gradient orientations on imaging computed within a local neighborhood.

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deepscm

Repository for Deep Structural Causal Models for Tractable Counterfactual Inference

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deid

best effort anonymization for medical images using python

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dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

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ICPSurv

Invariant Causal Prediction for Survival Data

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itk-vtk-viewer

2D / 3D web image, mesh, and point set viewer using itk.js and vtk.js

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joaosantinha.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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lightning-hydra-template

Deep Learning project template best practices with Pytorch Lightning, Hydra, Tensorboard.

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MagiciansCorner

Notebooks, datasets, other content for the Radiology:AI series known as Magicians Corner by Brad Erickson

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Niffler

Niffler: A DICOM Framework for Machine Learning and Processing Pipelines.

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OWL

Implementation of the Ordered Weighted L1 Regularization in R with capabilities to run using caret train function.

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owl_slope

:owl: Generalized Linear Models Regularized with the Sorted L1-Norm

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pgmpy

Python Library for Inference (Causal and Probabilistic) and learning in Bayesian Networks

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PhantomStudy

A multicenter study on radiomic features from T2-weighted images of a customized MR pelvic phantom setting the basis for robust radiomic models in clinics

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pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

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sasan

SASAN

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SlicerNotebooks

Examples that illustrate how to use 3D Slicer via Jupyter notebooks in Python

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SLOPE

Sorted L1 Penalized Estimation

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Viewers

OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages

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