Paper published at Heliyon

Check our last publication Hippocampus segmentation on epilepsy and Alzheimer's disease studies with multiple convolutional neural networks at Heliyon. In this work we propose an automatic hippocampus segmentation method studied over Alzheimer's disease and epilepsy patients, with hippocampus resection, reaching state-of-the-art performance. This work also showcases the difficulty of automated methods to properly segment the hippocampi ...

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Once again MICLab wins the Best Paper Award Master degree student at the BRAINN Congress

The work entitled “Automatic Corpus Callosum segmentation and parcellation in DTI: a tool for visualization and comparison of results from different methods“ won the award for best paper in the Master degree category at the 7th edition of the BRAINN Congress.  Authors: Thais Caldeira; William Herrera; Aline Lapa; Prof. Simone Appenzeller and Prof. Leticia Rittner. Thais will be presenting this software at the Live Demonstrations Workshop at SPIE Medical Imaging 2021 (check program here), that will ...

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MICLab-NeuralMind consortium wins MICCAI competition

Our solution using AI to diagnose COVID-19 using computed tomography and chest x-rays received the COVID Solution Award at the 23rd International conference of MICCAI (Medical Image Computing & Computer Assisted Intervention) 2020. The winners were announced by MICCAI​, ​NVIDIA Inception​, and ​SIPAIM​, in the MICCAI ​Startups Village​ pitch competition. The event celebrated the achievements of innovative startups improving information processing, machine learning, and computational modeling in medical image computing and computer assisted interventions. S...

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MICLab-Neuralmind consortium working on COVID19 detection

MICLab and Neuralmind collaborated closely in order to develop a solution for COVID19 detection. The consortium presented an efficient solution to the ideiaGov challenge:  COVID19 Diagnosis through computed tomography and chest X-ray images. Know more about this challenge  here .

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Opportunity: Postdoctoral Fellowship

We are looking for talented candidates with innovative ideas to develop, implement, disseminate and evaluate machine learning (ML) techniques in the analysis of medical images and image-related data. The position is part of the Project “Computational tools for the diagnosis, detection and prognosis of COVID-19: analysis and development of methods using deep convolutional networks with computed tomography data”. The research will be developed at the Medical Image Computing Lab (MICLab), University of Campinas (

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Paper published at Journal of Neuroscience Methods

Check our last publication A framework for quality control of corpus callosum segmentation in large-scale studies at Journal of Neuroscience Methods. In this work we proposed a framework for automatic quality control of corpus callosum segmentations based on a machine learning SVM technique.

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Poster Presentation at MICCAI CDMRI 19 - Shenzhen, China

MICCAI 2019 INTERNATIONAL WORKSHOP ON COMPUTATIONAL DIFFUSION MRI (CDMRI - Shenzhen, China) is a workshop focused on diffusion MRI that brings the most important researchers and young researchers together.

This workshop is composed of papers and poster presentations, experts´ lectures, and challenges.

Our group presented a poster entitled "CONVOLUTIONAL NEURAL NETWORK ON DTI DATA FOR SUB-CORTICAL BRAIN STRUCTURE SEGMENTATION" that its paper is going to be published at MICCAI Proceedings.

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Medical Image Quality Workshop

The workshop will take place at FEEC/Unicamp, on October, 25th, November 1st and 11th

 

Lectures and challenge about medical images acquisition and quality control!! 

 

Subscribe sending email to: ihspf@dca.fee.unicamp.br

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Paper Acccepted on the MICCAI CDMRI 19

Our researchers had a paper accepted to the CDMRI 2019 International Conference. The event will be in Shenzhen, China 13-17 October 2019.

"Convolutional Neural Network on DTI data for Sub-cortical Brain Structure Segmentation". Gustavo Retuci Pinheiro, Diedre Carmo, Clarissa Yasuda, and Leticia Rittner.

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participation on 2019 SCHOOL ON BRAIN CONNECTOMICS

Two of our researchers are participating in the 2019 SCHOOL ON BRAIN CONNECTOMICS.

This School is happening in University of Verona - Italy, September 23 - 27.

In this event, supported by MICCAI and IEEE Signal Processing Society, some of the main authors of brain imaging and connectomics were presenting their work and giving lectures and workshops.

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Here you can read MICLab´s exclusive articles on medical imaging, computer programming and MRI analysis. You are welcome to share these blog posts freely, but keep in mind always to cite MICLab and this webaddress as the source!