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The Brain Image Analysis Unit leverages the latest advancements in machine learning, specifically deep learning, to enhance the processing and analysis of brain imaging data. Our unit specializes in processing diverse brain imaging data sources, including two-photon microscopy, bright-field microscopy images, and MRI scans. We collaborate closely with experts from various scientific disciplines, including computer science, neuroscience, and medicine, to advance the state-of-the-art in brain imaging analysis. As a member of the Brain/MINDS 2.0 project, our unit is dedicated to uncovering new insights into the intricacies of primate brain structure through the analysis of high-resolution brain imaging data.
Henrik Skibbe Unit Leader
Itsuko Ishii Technical Staff
Mรฉghane Decroocq JSPS Research Fellow
Febrian Rachmadi Visiting Scientist Faculty of Computer Science, Universitas Indonesia
Michaล Byra Visiting Scientist (Assistant Professor, Polish Academy of Sciense, Warsaw)
Charissa Poon Visiting Scientist
Our brain images appeared on a cover of the MIDL (Medical Imaging with Deep Learning) 2021 conference magazine.
Our research inspired a Neuron cover. Artwork by Natsuko Miyazaki (Space-Time Inc.).
Our brain connectivity image was used in a cover design of the RIKEN RESEARCH magazine.
One of our images showing brain connectivity was used for the design of a book cover.
The cover page features a neuron image created by Kimura et al. as part of a workflow demonstration for software designed for terminal detection.
( ๐published manuscript, conference paper or short paper, ๐ขabstract, ๐ preprint)