Medical Image Computing Lab - MICLab Unicamp

MICLab-Unicamp

The lab was created under the leadership of Roberto Lotufo and Letícia Rittner to be a focal point for the majority of the students under their supervision

University of Campinas

https://miclab.fee.unicamp.br

Medical Image Computing Lab - MICLab Unicamp's repositories

e2dhipseg

This contains official implementation for Extended 2D Volumetric Consensus Hippocampus Segmentation

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CONSNet

CONSNet: Convolutional Neural Networks for Skull-stripping in Brain MR Imaging using Consensus-based Silver Standard Masks

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ia636

Python Toolbox for Teaching Image Processing

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medpseg

MEDPSeg: Official implementation of Modified EfficientDet for Pulmonary Polymorphic Segmentation

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medseg

Official repository for reproducing COVID and Lung segmentation prediction (old version of MEDPSeg)

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HypAST

Hypothalamus Automatic Segmentation Tool

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inCCsight

Python/Dash/Plotly implementation of a data exploration platform for corpus callosum data in DTI

Language:PythonBSD-3-Clause500

Medical-Imaging-Tutorial

An Introduction Tutorial to Medical Imaging Segmentation with Deep Learning

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FOD-Swin-Net

Repository for FOD-Swin-Net

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MICLab-2023-ISBI-MRS-Challenge

First place solution of the GABA Edited Magnetic Resonance Spectroscopy Reconstruction Challenge

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micview

MICView

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MoCIDet

PhD code to predict the motion-artifact presence probability on T1w neuroimages

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thalamus_benchmark_diffusion

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WS_Quality

Workshop Medical Imaging Quality

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BTRSeg

Repository related to the IA369Z reproducible Brain Tumor Segmentation project.

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Public-data

A repository for small public datasets for ease of access.

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Spectral_fitting_SIPAIM

Development of a spectral fitting model

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Spectro-ViT

Repository of the Spectro-ViT model, for reconstruction of GABA-edited spectra

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handson_DL_UNIVR_2019

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ia870

Python Morphology Toolbox

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LobePrior

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LongCIU

Repository for the Long COVID Iowa-UNICAMP collaboration dataset code

Language:Jupyter NotebookMIT000

TMG-based_CC_Parcellation

Demo of the DTI-based Corpus Callosum (CC) parcellation using the Tensorial Morphological Gradient (TMG) and Self-Organizing Maps (SOM) - SIPAIM (2023)

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