Zobrazeno 1 - 10
of 141
pro vyhledávání: '"Taichi KIN"'
Autor:
Hiroki UCHIKAWA, Taichi KIN, Satoshi KOIZUMI, Katsuya SATO, Tatsuya UCHIDA, Yasuhiro TAKEDA, Tsukasa KOIKE, Satoshi KIYOFUJI, Shigeo YAMASHIRO, Akitake MUKASA, Nobuhito SAITO
Publikováno v:
Neurologia Medico-Chirurgica, Vol 63, Iss 10, Pp 450-456 (2023)
Rebleeding from a ruptured intracranial aneurysm has poor outcomes. Although numerous factors are associated with rebleeding, studies on computational fluid dynamics (CFD) on hemodynamic parameters associated with early rebleeding are scarce. In part
Externí odkaz:
https://doaj.org/article/06b2902733e4460daa33b69007d80d02
Publikováno v:
Computational Visual Media, Vol 9, Iss 1, Pp 57-69 (2022)
Abstract The exact shape of intracranial aneurysms is critical in medical diagnosis and surgical planning. While voxel-based deep learning frameworks have been proposed for this segmentation task, their performance remains limited. In this study, we
Externí odkaz:
https://doaj.org/article/ed505687026e4fc98035f416271f6700
Autor:
Daiichiro Ishigami, Satoru Miyawaki, Hirofumi Nakatomi, Shunsaku Takayanagi, Yu Teranishi, Kenta Ohara, Hiroki Hongo, Shogo Dofuku, Taichi Kin, Hiroyuki Abe, Jun Mitsui, Daisuke Komura, Hiroto Katoh, Shumpei Ishikawa, Nobuhito Saito
Publikováno v:
BMC Medical Genomics, Vol 14, Iss 1, Pp 1-8 (2021)
Abstract Background Schwannomas are neoplasms that typically arise from the myelin sheath of peripheral nerves and rarely originate within the brain parenchyma. Some case reports present schwannomas arising from the brainstem, but regrowth of the tum
Externí odkaz:
https://doaj.org/article/446c385dac9a43cba98d529b3be0dd7d
Autor:
Yoshiaki Goto, Ai Kawaguchi, Yuki Inoue, Yuki Nakamura, Yuta Oyama, Arisa Tomioka, Fumi Higuchi, Takeshi Uno, Masaaki Shojima, Taichi Kin, Masahiro Shin
Publikováno v:
Cancers, Vol 15, Iss 7, p 2148 (2023)
In endoscopic transsphenoidal skull base surgery, knowledge of tumor location on imaging and the anatomic structures is required simultaneously. However, it is often difficult to accurately reconstruct the endoscopic vision of the surgical field from
Externí odkaz:
https://doaj.org/article/726e402d51c64b88a5f16f6c264e2a05
Autor:
Nozomi Otsuka, Hirohisa Yajima, Satoru Miyawaki, Satoshi Koizumi, Satoshi Kiyofuji, Hiroki Hongo, Yu Teranishi, Taichi Kin, Nobuhito Saito
Publikováno v:
Frontiers in Neurology, Vol 13 (2022)
BackgroundA duplicated middle cerebral artery (DMCA) is an anatomical variant that includes duplication of the middle cerebral artery (MCA) and an anomalous vessel originating between the anterior choroidal artery (AChA) and the distal end of the int
Externí odkaz:
https://doaj.org/article/1011d3a059b646bfb2006fe698b0f18b
Autor:
Tsukasa Koike, Taichi Kin, Shota Tanaka, Yasuhiro Takeda, Hiroki Uchikawa, Taketo Shiode, Toki Saito, Hirokazu Takami, Shunsaku Takayanagi, Akitake Mukasa, Hiroshi Oyama, Nobuhito Saito
Publikováno v:
World Neurosurgery: X, Vol 11, Iss , Pp 100102- (2021)
Background: In neurosurgery, it is important to inspect the spatial correspondence between the preoperative medical image (virtual space), and the intraoperative findings (real space) to improve the safety of the surgery. Navigation systems and relat
Externí odkaz:
https://doaj.org/article/310da6f7d98a4494a208767a0f2e9d61
Autor:
Hiroki Uchikawa, Taichi Kin, Yasuhiro Takeda, Tsukasa Koike, Satoshi Kiyofuji, Satoshi Koizumi, Taketo Shiode, Yuichi Suzuki, Satoru Miyawaki, Hirofumi Nakatomi, Akitake Mukasa, Nobuhito Saito
Publikováno v:
World Neurosurgery: X, Vol 10, Iss , Pp 100098- (2021)
Background: Intraoperative rupture is the most fatal and catastrophic complication of surgery for unruptured intracranial aneurysms (UIAs); thus, it is extremely useful to predict reddish and thin-walled regions of the UIA before surgery. Although se
Externí odkaz:
https://doaj.org/article/648e820eea444cb49c661de8cb8a86fc
Autor:
Takaaki Sugino, Toshihiro Kawase, Shinya Onogi, Taichi Kin, Nobuhito Saito, Yoshikazu Nakajima
Publikováno v:
Healthcare, Vol 9, Iss 8, p 938 (2021)
Brain structure segmentation on magnetic resonance (MR) images is important for various clinical applications. It has been automatically performed by using fully convolutional networks. However, it suffers from the class imbalance problem. To address
Externí odkaz:
https://doaj.org/article/1568f7eacb234b7faf575e561e30f34b
Publikováno v:
NMC Case Report Journal. 10:41-45
Autor:
Satoshi Kiyofuji, Taichi Kin, Toki Saito, Tsukasa Koike, Yasuhiro Takeda, Tatsuya Uchida, Katsuya Sato, Naoyuki Shono, Ryoko Niwa, Yasuyuki Furuta, Nobuhito Saito
Publikováno v:
Operative Neurosurgery. 24:194-200