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...
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...
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...
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...
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...
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
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,...
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...
The MIDL conference aims to be a forum for deep learning researchers, clinicians and health-care companies to take a leap in the application of deep learning based automatic image...
The paper “A Brazilian dataset domain adaptation to diagnose Alzheimer’s disease and subjects with cognitive deficit using convolutional neural networks“ won the award for the best paper in the...