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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 8 of 8  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI, MICT [detail] 2021-11-05
15:50
Online Online [Short Paper] Sketch-based CT image generation of lung cancers using Pix2pix -- An attempt to improve representation by adopting Style Blocks --
Ryo Toda, Atsushi Teramoto (FHU), Masakazu Tsujimoto (FHUH), Hiroshi Toyama, Masashi Kondo, Kazuyoshi Imaizumi, Kuniaki Saito (FHU), Hiroshi Fujita (Gifu Univ.) MICT2021-42 MI2021-40
Generative adversarial networks (GAN) have been used to overcome the lack of data in medical images. However, such appli... [more] MICT2021-42 MI2021-40
pp.66-67
EST, MW, EMCJ, IEE-EMC [detail] 2021-10-07
16:10
Online Online Evaluation of stimulation conditions of tDCS considering electric field distribution in target and contralateral hemispheres of lower limb area
Hiroki Hamajima, Jose Gomez-Tames (NITech), Shintaro Uehara, Yohei Otaka (FHU), Satoshi Tanaka (HUSM), Akimasa Hirata (NITech) EMCJ2021-38 MW2021-50 EST2021-40
In recent years, there has been a growing interest in focal brain neuromodulation in a non-invasive manner for medical t... [more] EMCJ2021-38 MW2021-50 EST2021-40
pp.54-59
MW, EST, EMCJ, PEM, IEE-EMC [detail] 2020-10-22
14:20
Online Online tDCS montage evaluation for targeting the lower limb in the primary motor and supplementary motor areas
Hiroki Hamajima, Jose Gomez-Tames (NITech), Shintaro Uehara, Yohei Otaka (FHU), Satoshi Tanaka (HUSM), Akimasa Hirata (NITech) EMCJ2020-34 MW2020-48 EST2020-36
In recent years, there has been a growing interest in focal brain neuromodulation in a non-invasive manner for medical t... [more] EMCJ2020-34 MW2020-48 EST2020-36
pp.54-59
NC, MBE 2019-12-06
17:20
Aichi Toyohashi Tech Regularization Term of WRH Type Used with Moore-Penrose Inverse for Optimizing Neural Networks
Yoshifusa Ito (FHU), Hiroyuki Izumi (AGU), Cidambi Srinivasan (UK) MBE2019-60 NC2019-51
Weigend et al. proposed an algorithm for optimizing neural networks, which suppressed the notorious over- tting. They at... [more] MBE2019-60 NC2019-51
pp.89-94
NC, MBE
(Joint)
2018-12-15
14:25
Aichi Nagoya Institute of Technology Approximation of Bayesian Discriminant Functions by Neural Networks with Weight Elimination
Yoshifusa Ito (FHU), Hiroyuki Izumi (AGU), Cidambi Srinivasan (UK) NC2018-34
 [more] NC2018-34
pp.35-40
MBE, NC
(Joint)
2017-12-16
10:30
Aichi Nagoya University Application of ELM for Approximating Bayesian Discriminant Functions
Yoshifusa Ito (FHU), Hiroyuki Izumi (AGU), Cidambi Srinivasan (UK) NC2017-40
 [more] NC2017-40
pp.1-6
PRMU, IE, MI, SIP 2016-05-19
13:00
Aichi   Improved scheme of automated detection of pulmonary nodules in PET/CT images using convolutional neural network and conventional characteristic features
Atsushi Teramoto (FHU), Hiroshi Fujita (Gifu Univ.), Osamu Yamamuro, Tuneo Tamaki (East Nagoya Image Diagnosis Center) SIP2016-4 IE2016-4 PRMU2016-4 MI2016-4
 [more] SIP2016-4 IE2016-4 PRMU2016-4 MI2016-4
pp.17-20
WIT 2011-02-18
15:45
Ehime Ehime Univ. Is the Japanese Hybrid Sign Language a Genuine Blended Sign Language?
Daisuke Hara (TTI), Michiyo Kurosaka (FHU) WIT2010-72
 [more] WIT2010-72
pp.31-35
 Results 1 - 8 of 8  /   
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