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Kenji Ino

Researcher at University of Tokyo

Publications -  64
Citations -  1511

Kenji Ino is an academic researcher from University of Tokyo. The author has contributed to research in topics: Tractography & Iterative reconstruction. The author has an hindex of 18, co-authored 63 publications receiving 1288 citations. Previous affiliations of Kenji Ino include Tokyo Metropolitan University.

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Combined use of tractography-integrated functional neuronavigation and direct fiber stimulation

TL;DR: Integration of the DT imaging-based tractography information into a traditional neuronavigation system demonstrated spatial relationships between lesions and the CST, allowing for the avoidance of tract injury during lesion resection.
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The committee for revision of the Clinical Practice Guidelines for Hepatocellular Carcinoma

TL;DR: Members Masaaki Akahane, Associate Professor Hiroshi Igaki, Lecturer Namiki Izumi, Division Head Takafumi Ichida, Professor Shinji Uemoto, Professor Shuichi Kaneko,Professor Seiji Kawasaki, Professor Yonson Ku, Professor Masatoshi Kudo, Professor Shoji Kubo, Professor Tadatoshi Takayama, Professor Ryosuke Tateishi, Assistant Professor Takashi Fukuda, Senior Research Fellow Osamu Matsui.
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The motor-evoked potential threshold evaluated by tractography and electrical stimulation.

TL;DR: The investigators found that diffusion tensor imaging-based tractography is a reliable way to map the white matter connections in the entire brain in clinical and basic neuroscience applications and could contribute to elucidating the neural networks of the human brain and shed light on higher brain functions.
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Visualization of the frontotemporal language fibers by tractography combined with functional magnetic resonance imaging and magnetoencephalography.

TL;DR: The aim of this study was to visualize language-related subcortical connections, such as the arcuate fasciculus (AF) by diffusion tensor (DT) imaging-based tractography, and demonstrated the hemispheric dominance of language functions.
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Diffeomorphic Anatomical Registration Through Exponentiated Lie Algebra provides reduced effect of scanner for cortex volumetry with atlas-based method in healthy subjects.

TL;DR: Investigating whether the effect of scanner for cortex volumetry with atlas-based method is reduced using Diffeomorphic Anatomical Registration Through Exponentiated Lie Algebra (DARTEL) normalization compared with standard normalization found it to be reduced with DARTEL normalization.