Ryo Asaoka

Papers

• Hirasawa K, Sanada Y, Komori R, Fujino Y, Arimura S, Iwasaki K, Orii Y, Mashimo K, Nagayama-Ito A, Wada T, Murata H, Shoji N, Inatani M, Asaoka R*. Comparison of the variational Bayes linear regression visual field test algorithms and SITA-Standard in the 10-2 program Ophthalmol Glaucoma In press
• Hirasawa K, Murata H, Shimada S, Matsuno M, Shoji N, Asaoka R*. Faster algorithms to measure visual field using the variational Bayes linear regression model in glaucoma: Comparison with SITA-Fast. Br J Ophthalmol. 2023 Jul;107(7):946-952
• Asaoka R*, Murata H, Fujino Y, Aoki S, Hirasawa K, Shoji N. Comparing the structure-function relationship between the visual fields measured with variational Bayes linear regression and SITA standard. PlosOne 2023 Mar 6;18(3):e0282638
• Nakahara K, Asaoka R*, Tanito M, Shibata N, Mitsuhashi K, Fujino Y, Matsuura M, Inoue T, Azuma K, Obata R, Murata H. Deep Learning-Assisted (Automatic) Diagnosis of Glaucoma Using a Smartphone. Br J Ophthalmol 2022 Apr;106(4):587-592
• Murata H, Asaoka R*, Fujino Y, Matsuura M, Hirasawa K, Shimada S, Shoji N. Comparing the usefulness of a new algorithm to measure visual field using the Variational Bayes linear regression in glaucoma patients to the Swedish interactive thresholding algorithm. Br J Ophthalmol 2022 May;106(5):660-666
• Hashimoto Y, Kiwaki T, Sugiura H, Asano S, Murata H, Fujino Y, Matsuura M, Miki A, Mori K, Ikeda Y, Kanamoto T, Yamagami J, Inoue K, Tanito M, Yamanishi K, Asaoka R*. Predicting 10-2 visual field from optical coherence tomography in glaucoma using deep learning corrected with 24-2/30-2 visual field. Trans Vis Sci Technol 2021 Nov 1;10(13):28
• Hashimoto Y, Asaoka R*, Kiwaki T, Sugiura H, Asano S, Murata H, Fujino Y, Matsuura M, Miki A, Mori K, Ikeda Y, Kanamoto T, Yamagami J, Inoue K, Tanito M, Yamanishi K. Deep learning model to predict visual field in central 10 degrees from optical coherence tomography measurement in glaucoma Br J Ophthalmol 2021;105:507-513
• Yamasaki T, Yuki K, Tanabe AS, Ono T, Murata H, Tsubota K, Asaoka R*. Binocular superior visual field areas associated with driving self-regulation in patients with primary open-angle glaucoma Br J Ophthalmol. 2021;105:135-140
• Xu L, Asaoka R*, Kiwaki T, Murata H, Fujino Y, Matsuura M, Hashimoto Y, Asano S, Miki A, Mori K, Ikeda Y, Kanamoto T, Yamagami J, Inoue K, Tanito M, Yamanishi K. Predicting the glaucomatous central 10 degrees visual field from optical coherence tomography using deep learning and tensor regression. Am J Ophthalmol 2020 Oct;218:304-313.
• Christopher M, Nakahara K, Bowd C, Proudfoot JA, Belghith A, Goldbaum MH, Rezapour J, Weinreb RN, Fazio MA, Girkin CA, Liebmann JM, Moraes GM, Murata H, Tokumo K, Shibata N, Fujino Y, Matsuura M, Kiuchi Y, Tanito M, Asaoka R*, Zangwill LM. Effects of study population, labeling, and training strategies on the performance of deep learning algorithms to detect glaucoma from fundus photographs Trans Vis Sci Technol. 2020 April;9(2):27
• Yuki K, Asaoka R*, Ono T, Awano-Tanabe S, Murata H, Tsubota K. Evaluation of Fear of Falling in Patients with Primary Open-Angle Glaucoma and the Importance of Inferior Visual Field Damage. Invest Ophthalmol Vis Sci 2020 Mar 9;61(3):52
• Asaoka R*, Murata H, Hirasawa K, Fujino Y, Matsuura M, Miki A, Kanamoto T, Ikeda Y, Mori K, Iwase A, Shoji N, Inoue K, Yamagami J, Araie M. Using Deep Learning and transfer learning to accurately diagnose early-onset glaucoma from macular optical coherence tomography images. Am J Ophthalmol 2019 Feb;198:136-145
• Asaoka R*, Tanito M, Shibata N, Mitsuhashi K, Nakahara K, Fujino Y, Matsuura M, Murata H, Tokumo K, Kiuchi Y. Validation of a deep learning model to screen for glaucoma using images from different fundus cameras and data augmentation Ophthalmol Glaucoma 2019 (2) 4, 224-231
• Shibata N, Tanito M, Mitsuhashi K, Fujino K, Matsuura M, Murata H, Asaoka R*. Development of a deep residual learning algorithm to screen for glaucoma from fundus photography. Sci Rep 2018 Oct 2;8(1):14665.
• Murata H, Zangwill LM, Fujino Y, Matsuura M, Miki A, Hirasawa K, Tanito M, Mizoue S, Mori K, Suzuki K, Yamashita T, Kashiwagi K, Shoji N, Asaoka R*, Validating variational Bayes linear regression method with multi-central datasets. Invest Ophthalmol Vis Sci 2018 Apr 1;59(5):1897-1904
• Matsuura M, Murata H, Fujino Y, Hirasawa K, Yanagisawa M, Asaoka R*. Evaluating the usefulness of MP-3 microperimetry in glaucoma patients. Am J Ophthalmol 2018 Mar;187:1-9
• Yuki K, Asaoka R*, Awano-Tanabe S, Ono T, Shiba D, Murata H, Tsubota K. Predicting future self-reported motor vehicle collisions in subjects with primary open-angle glaucoma using the penalized support vector machine method. Transl Vis Sci Technol 2017 Jun 2;6(3):14
• Yuki K, Asaoka R*, Tsubota K. Investigating the influence of visual function and systemic risk factors on falls and injurious falls in glaucoma using the structural equation modeling. PLoS One. 2015 8;10(6):e0129316.
• Yuki K, Asaoka R*, Tsubota K. The Relationship between Central Visual Field Damage and Motor Vehicle Collisions in Primary Open-Angle Glaucoma Patients. PLoS One. 2014 29;9(12):e115572
• Murata H, Araie M, Asaoka R*. A new approach to measure visual field progression in glaucoma patients using Variational Bayes linear regression. Invest Ophthalmol Vis Sci 2014 20;55(12):8386-92

Over 250 publications in English-language ophthalmological and scientific journals, More than 200 presentations at national and international ophthalmological conferences, Over 100 invited lectures, both national and international

Patents

• 視野検査支援装置 特願2013-039796、PCT/JP2013/073426
• 視野検査装置 特願2015-108950、PCT/JP2016/064780
• 視野感度推定装置、視野感度推定装置の制御方法、及びプログラム 特願2016-215556
• 画像処理装置及びプログラム 特願2017-196870
• 眼底写真自動判定による緑内障自動スクリーニングアルゴリズム PCT/JP2018/37580
• 視覚検査装置及びプログラム 特願2021-105827

Professional Appointments

• Board Member, Japan Visual Field and Imaging Society
• Board Member, International Society of Imaging and Visual Field
• Councillor, Japan Glaucoma Society
• Councillor, Japan Society for Artificial Intelligence in Ophthalmology