About usAll About MICLab
Research
Learn more about our researches on MRI and human brain image processing through advanced algoritms.
Publications
Find here a comprehensive list of MICLab´s latest published research and keep updated with all our developments.
Tools
MICLab´s researchers are developing innovative tools to help scientists analyze computer images. Find them here.
Team
Click here for more information on our main researchers, graduate and undergraduate students and their lines of work.
NewsLatest from MICLab
We are always looking for motivated people interested in Medical Imaging and AI research area. If you are interested in joining our lab, send us your CV.
We’ve just published a paper in Neuroimage, “A benchmark for hypothalamus segmentation on T1-weighted MR images”. Together with the paper, we’ve launched a challenge in codalab (https://lnkd.in/
EventsEvents Calendar
- XXIX Congresso Brasileiro de Engenharia Biomédica (CBEB2024) | 2-6 September – 2 papers accepted!
▸ Short course (02/09): Artificial Intelligence in Health – Profª. Drª. Letícia Rittner - 27th International Conference on Medical Image Computing
and Computer Assisted Intervention (MICCAI 2024) | 6-10 October - 20th International Symposium on Medical Information Processing and Analysis (SIPAIM) | 13-15 November
▸ Submission deadline extended to august 1st!
NewsMICLab News
Paper accepted on SIPAIM 2024!
Our lab students Diedre Carmo and Wesna Araujo attended the conference in Antigua, Guatemala, to present our work. The papers...
Paper accepted on MICCAI 2024!
The MICCAI 2024 International Workshop on Computational Diffusion MRI (CDMRI - Marrakesh, Morocco) brought together leading researchers and clinicians to discuss advancements...
Workshop Beyond RGB: Navigating the Multispectral Universe
Last week, we hosted the workshop "Beyond RGB: Navigating the Multispectral Universe". The goal of this meeting was to share...
Paper accepted on ISBI 2024!
Our group had two papers accepted on the 21st IEEE International Symposium on Biomedical Imaging (ISBI): "FOD-Swin-Net: angular super resolution...