We want to congratulate our colleages from Ivision and the Pathospotter project on the award winning work entitled “Quais características visuais das imagens são utilizadas por pessoas para agrupar lesões glomerulares? Um estudo de agrupamento de imagens histológicas por similaridade.” The work was presented at the 33rd Brazilian Congress of Pathology and investigated the glomeruli classification using AI.

We are pleased to announce that our group have recently two papers accepted!

We are glad to announce that the partnership between Ivision and the Pathospotter project resulted in another published paper! The work is entitled “Computational pathology, new horizons and challenges for anatomical pathology” and was published in the Surgical and Experimental Pathology journal. The study reviews the advances in the Computational Pathology field, pointing to challenges and new prospects.

We want to congratulate now Doctor Jefferson Fontinele for finishing his Ph.D. Doctor Fontinele researched semantic segmentation deep learning methods on traffic and biomedical images. Two works from our lab (“Faster α-expansion via dynamic programming and image partitioning” and “Attention-based fusion of semantic boundary and non-boundary information to improve semantic segmentation”) are direct outcomes of his thesis entitled “Paying attention to the boundaries in semantic image segmentation,” confirming its success in the field of semantic segmentation. Well done, Doctor Jefferson Fontinele!

We are glad to announce that our colleagues from IvisionLab had two papers accepted in the 17th International Symposium on Medical Information Processing and Analysis (SIPAIM). Laís Pinheiro, Bernardo Silva, Brenda Sobrinho, Fernanda Lima, Patrícia Cury, and Luciano Oliveira from the OdontoAI project submitted an article entitled Numbering permanent and deciduous teeth via deep instance segmentation in panoramic X-rays. In their work, they detail instance segmentation experiments on a soon-to-be public data set. Paulo Chagas, Luiz Souza, Rodrigo Calumby, Izabelle Pontes, Stanley Araújo, Angelo Duarte, Nathanael Pinheiro, Washington Santos, and Luciano Oliveira had their work entitled Toward unbounded open-set recognition to say “I don’t know” for glomerular multi-lesion classification accepted for publication. The former paper is from the PathoSpotter project, in which the IvisionLab is highly active.