MIC-Suporte – MICLab

MICLab wins prize at the The 17th International Symposium on Medical Information Processing and Analysis

MIC-Suporte — Mon, 16 May 2022 05:26:52 +0000

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 Carmo, Israel Campiotti, Irene Fantini, Livia Rodrigues, Leticia Rittner and Roberto Lotufo. You can use our tool to create segmentations with the methodology published in this work here: https://github.com/MICLab-Unicamp/coedet

Call for Papers! SIPAIM & SIIM 2021!

MIC-Suporte — Mon, 16 May 2022 05:26:19 +0000

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 this year! The submission deadline is July 12. Peer-reviewed full papers presented during SIPAIM will be published in SPIE Digital Library and indexed in Scopus. More information in www.sipaim.org.

Paper published at Heliyon

MIC-Suporte — Mon, 16 May 2022 05:25:20 +0000

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 in cases of resection.

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

MIC-Suporte — Mon, 16 May 2022 05:24:28 +0000

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 take place “virtually” in February. The software, called inCCsight, is open-source and available for download at GitHub Another work from our group received the award for best poster in the Doctorate degree category. The poster entitled “Simulating motion corrupted MRI data to facilitate Deep Learning training” is a result of Irene Fantini’s PhD, in collaboraton with Prof. Clarissa Yasuda, Prof. Leticia Rittner and Prof. Roberto Lotufo.

MICLab-Neuralmind consortium working on COVID19 detection

MIC-Suporte — Sun, 15 May 2022 11:27:00 +0000

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 .

MICLab-NeuralMind consortium wins MICCAI competition

MIC-Suporte — Sat, 14 May 2022 11:25:00 +0000

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. State of the art research in AI-powered radiology, pathology, medical robotics, computer-aided interventions, and health informatics were showcased and the winners were selected across five categories. You can find more about this competition in this post.

Paper published at Journal of Neuroscience Methods

MIC-Suporte — Thu, 12 May 2022 11:29:00 +0000

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.

Poster Presentation at MICCAI CDMRI 19 – Shenzhen, China

MIC-Suporte — Wed, 11 May 2022 11:29:00 +0000

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.

Medical Image Quality Workshop

MIC-Suporte — Tue, 10 May 2022 11:30:00 +0000

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

Participation on 2019 SCHOOL ON BRAIN CONNECTOMICS

MIC-Suporte — Mon, 09 May 2022 11:40:21 +0000

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.