I couldn’t be more proud of my students Gabriel Dias, Mateus Oliveira, that together with Paula Dornhofer Paro Costa and Lucas Hideki Ueda, got the first place on #ISBI2023...
This time the award for the best paper in the Master Degree category at the BRAINN Congress was given to the work entitled “Volumetric Segmentation of the Corpus Callosum:...
Last week, FEA (UNICAMP) hosted the II International Workshop on Hyperspectral Imaging, chaired by Prof. Dr. Douglas Barbin (FEA), comprehending a minicourse and many talks among applications in the...
Our work on Multitasking segmentation of lung and COVID-19 findings in CT scans using modified EfficientDet, UNet and MobileNetV3 models received the SIPAIM award this year! Congratulations to the authors, Diedre...
The 17th International Symposium on Medical Information Processing and Analysis in conjunction with the 10th Symposium on Medical Instrumentation and Imaging (SIPAIM & SIIM) will be hosted at UNICAMP...
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...
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...
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...