https://miclab.fee.unicamp.br Research Group in Medical Image Computing Tue, 25 Apr 2023 12:42:22 +0000 en-US hourly 1 https://miclab.fee.unicamp.br/miclab-wins-the-best-paper-award-master-degree-student-at-the-brainn-congress-for-the-third-year-in-a-row/ Tue, 25 Apr 2023 12:41:17 +0000 https://miclab.fee.unicamp.br/?p=672 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: comparing 2D, extended-2D, and 3D approaches to train the model on anisometric diffusion MRI“. This work, is part of the MSc dissertation of Joany Rodrigues, and discusses different CNN models trained to segment the structure. This work also had the contribution of: Paulo Julio, Simone Appenzeller and Letícia Rittner.

]]> https://miclab.fee.unicamp.br/once-again-miclab-wins-the-best-paper-award-master-degree-student-at-the-brainn-congress/ Mon, 16 May 2022 05:24:28 +0000 https://miclab.fee.unicamp.br/?p=63 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.

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