Hitoshi Tabuchi

发表

On Biometric Identification Using Optical-Coherence-Tomography Data for Ophthalmic Patients

Naotake Kamiura, Teijiro Isokawa, Takayuki Yumoto, 2018, 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS).

On Data Classification of Cataract Patients for Selecting Intraocular Lens Power Formula

Naotake Kamiura, Manabu Nii, Takayuki Yumoto, 2015, 2015 7th International Conference on Emerging Trends in Engineering & Technology (ICETET).

Accuracy of a deep convolutional neural network in the detection of myopic macular diseases using swept-source optical coherence tomography

Yoshinori Mitamura, Hitoshi Tabuchi, Takahiro Sogawa, 2019, bioRxiv.

Formula selection for intraocular power calculation using support vector machines and self-organizing maps

Naotake Kamiura, Nobuyuki Matsui, Teijiro Isokawa, 2011, 2011 IEEE International Conference on Systems, Man, and Cybernetics.

Accuracy of deep learning, a machine learning technology, using ultra-wide-field fundus ophthalmoscopy for detecting idiopathic macular holes

Yoshinori Mitamura, Hitoshi Tabuchi, Hiroki Masumoto, 2018, PeerJ.

On expectation of binding time for ophthalmological outpatients

Naotake Kamiura, Teijiro Isokawa, Takayuki Yumoto, 2017, 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

On selection of intraocular power formula based on data classification using self-organizing maps

Naotake Kamiura, Nobuyuki Matsui, Teijiro Isokawa, 2010, 2010 IEEE International Conference on Systems, Man and Cybernetics.

On Selection of Intraocular Power Formula Using Support Vector Machines and Genetic Algorithm

Naotake Kamiura, Nobuyuki Matsui, Teijiro Isokawa, 2013, 2013 IEEE 43rd International Symposium on Multiple-Valued Logic.

On Discrimination of Right and Left Eyes for Ophthalmic Surgery Using Neural Networks

Naotake Kamiura, Teijiro Isokawa, Takayuki Yumoto, 2019, 2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI).

Author Correction: Comparison of visual performance between monofocal and multifocal intraocular lenses of the same material and basic design

Tomofusa Yamauchi, Hitoshi Tabuchi, Hirotaka Tanabe, 2020, Scientific reports.

On Waiting-time Estimation for Outpatients at Department of Ophthalmology

Naotake Kamiura, Nobuyuki Matsui, Teijiro Isokawa, 2012, 2012 Fifth International Conference on Emerging Trends in Engineering and Technology.

Discrimination Ability of Glaucoma via DCNNs Models from Ultra-Wide Angle Fundus Images Comparing Either Full or Confined to the Optic Disc

Hitoshi Tabuchi, Hiroki Masumoto, Asuka Noguchi, 2018, ACCV Workshops.

Classification of Interview Sheets Using Self-Organizing Maps for Determination of Ophthalmic Examinations

Naotake Kamiura, Nobuyuki Matsui, Teijiro Isokawa, 2012, ICONIP.

Retinal Detachment Screening with Ensembles of Neural Network Models

Hitoshi Tabuchi, Daisuke Nagasato, Hiroki Masumoto, 2018, ACCV Workshops.

2012 Fifth International Conference on Emerging Trends in Engineering and Technology, Himeji, Japan, November 5-7, 2012

Tetsushi Wakabayashi, Tomomoto Ishikawa, Thomas Schmickl, 2012, ICETET.

On Personal Identication for Ophthalmological Patients Based on Clinical Data Measured by Optical Coherence Tomography

Naotake Kamiura, Syoji Kobashi, Teijiro Isokawa, 2015 .

Ophthalmological Examination Determination Using Data Classification Based on Feedforward Neural Networks

Naotake Kamiura, Teijiro Isokawa, Takayuki Yumoto, 2018, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

On Clinical-Data-Based Personal Identification for Ophthalmological Patients

Naotake Kamiura, Manabu Nii, Takayuki Yumoto, 2015, 2015 IEEE International Conference on Systems, Man, and Cybernetics.

On Determination of Ophthalmic Examinations Using Support Vector Machines

Naotake Kamiura, Nobuyuki Matsui, Teijiro Isokawa, 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

Real-Time Extraction of Important Surgical Phases in Cataract Surgery Videos

Naotake Kamiura, Tomofusa Yamauchi, Hitoshi Tabuchi, 2019, Scientific Reports.

Deep Neural Network-Based Method for Detecting Central Retinal Vein Occlusion Using Ultrawide-Field Fundus Ophthalmoscopy

Yoshinori Mitamura, Masahiro Kameoka, Hitoshi Tabuchi, 2018, Journal of ophthalmology.

Comparison of semi-automated center-dot and fully automated endothelial cell analyses from specular microscopy images

Yoshiaki Kiuchi, Naoko Matsuo, Hitoshi Tabuchi, 2018, International Ophthalmology.

A Simulation-Based Approach in Estimating Waiting Time for Ophthalmology Outpatients

Naotake Kamiura, Teijiro Isokawa, Ayumu Saitoh, 2013 .

Deep-learning classifier with ultrawide-field fundus ophthalmoscopy for detecting branch retinal vein occlusion.

Yoshinori Mitamura, Masahiro Kameoka, Hitoshi Tabuchi, 2019, International journal of ophthalmology.

Study of the visual evoked magnetic field with the m-sequence technique.

Hitoshi Tabuchi, Eiichiro Nagasaka, Kunihiko Shiraki, 2002, Investigative ophthalmology & visual science.

Ophthalmological Examination Determination Using Data Classification Based on Support Vector Machines and Self-Organizing Maps

Naotake Kamiura, Teijiro Isokawa, Ayumu Saitoh, 2014 .

Accuracy of ultrawide-field fundus ophthalmoscopy-assisted deep learning for detecting treatment-naïve proliferative diabetic retinopathy

Yoshinori Mitamura, Hitoshi Tabuchi, Hiroki Masumoto, 2019, International Ophthalmology.

3-D Choroidal Thickness Maps from EDI-OCT in Highly Myopic Eyes

Yasushi Ikuno, Hitoshi Tabuchi, Hideharu Ohsugi, 2013, Optometry and vision science : official publication of the American Academy of Optometry.

Correlation between optic nerve head circulation and visual function before and after anti-VEGF therapy for central retinal vein occlusion: prospective, interventional case series

Yoshinori Mitamura, Yoshiaki Kiuchi, Hitoshi Tabuchi, 2016, BMC Ophthalmology.