Poster Presentation in the International Conference on Medical Imaging with Deep Learning

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 analysis in disease screening, diagnosis, prognosis, treatment selection and treatment monitoring. In its 2019 edition in London, our research group participated in the conference with an Extended Abstract presented as a poster presentation, Extended 2D Consensus Hippocampus Segmentation.

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Best Paper Award Master degree student - 6th BRAINN Congress

 

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 Master degree category at the 6th edition of the BRAINN Congress.  Authors: Mariana Pereira (UNICAMP); Thamires Magalhães (UNICAMP); Roberto Lotufo (UNICAMP); Márcio Balthazar (Unicamp) e Leticia Rittner (UNICAMP). The work will be published at Journal of Epilepsy and Clinical Neurophysiology, 2019. 

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São Paulo - Alberta: Brainhack

We are organizing and hosting the São Paulo - Alberta Magnetic Resonance (MR) Image Reconstruction and Processing BrainHack workshop in collaboration with researchers in University of Calgary.

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  • About the event: Our goal is to join experts in their fields and young researchers to discuss contemporary MR image reconstruction and processing problems and applications using machine learning approach...
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Calgary-Campinas Public Brain MR Dataset

The Calgary-Campinas Public Brain MR dataset is the result of a collaborative effort between researchers at the Vascular Imaging Lab located at the University of Calgary and MICLab. The dataset was first released with the following pub...

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Presentation on the 8th International Workshop on Pattern Recognition in Neuroimaging

The 8th International Workshop on Pattern Recognition in Neuroimaging happened in Singapore from 12 to 14 June 2018. PRNI is a satellite meeting of OHBM and aims to: foster dialogue between developers and users of cutting-edge analysis techniques; showcase recent methodological advances in pattern recognition algorithms for neuroimaging analysis; and (3) identify challenging neuroscientific questions in need of new analysis approaches. Our research group participated in the conference with an oral presentation Au...
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Workshop on Campus Party Brazil 11

One of MICLab's researchers gave introductory workshops on image processing using Jupyter Notebook for the general public at Campus Party Brazil 11, in São Paulo.

The workshop was on February 2th and 3th at Dumont Hackerspace.

 

The notebooks used during the workshop are available here and here.

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Paper selected as Nominee for the Robert F. Wagner All SPIE Medical Imaging Conference Best Student Paper Award

The paper "Automatic callosal fiber convergence plane computation through DTI-based divergence map" from one of our researchers was selected as Nominee for the Robert F. Wagner All SPIE Medical Imaging Conference Best Student Paper Award.

The paper was orally present on February 13th, 2018 on SPIE Medical Imaging in Houston, Texas.

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Participation in 2017 SCHOOL ON BRAIN CONNECTOMICS

One of our researchers participated in the 2017 SCHOOL ON BRAIN CONNECTOMICS.

This Winter School happened in University of Verona - Italy, October 9 - 13.

In this event, some of the main authors of brain imaging and connectomics were presenting their work and giving lectures and workshops.

 

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Papers Acccepted on the SPIE Medical Imaging 2018 International Conference

Our researchers had two papers accepted to the SPIE Medical Imaging 2018 International Conference. The event will be in Houston, United States 10-15 February 2018.

"Corpus callosum parcellation methods: a quantitative comparative study". Mariana Pereira, Giovana Cover, Simone Appenzeller, Leticia Rittner

"Automatic Callosal Fiber Convergence Plane Computation through DTI-based Divergence Map". Gustavo R. Pineiro, Giovana S. Cover, Mariana P. Bento, Leticia Rittner

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Papers accepted on VipIMAGE 2017

 

Our researchers had two papers accepted to the VipIMAGE 2017 International Conference. The event will be in Porto, Portugal 18-20 October 2017.

"Pixel-Based Classification Method for Corpus Callosum Segmentation on Diffusion-MRI". William G. Herrera, Giovana S. Cover, Leticia Rittner

"Corpus Callosum 2D Segmentation on Diffusion Tensor Imaging using Growing Neural Gas Network". Giovana S. Cover, William G. Herrera, Mariana P. Bento, Leticia Rittner

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