Search Results - "Ohara, Zaigen"

Changes in choroidal thickness after cataract surgery by Ohsugi, Hideharu, MD, PhD, Ikuno, Yasushi, MD, PhD, Ohara, Zaigen, MD, Imamura, Hitoshi, MD, Nakakura, Shunsuke, MD, PhD, Matsuba, Shinji, MD, Kato, Yoshitake, MD, Tabuchi, Hitoshi, MD, PhD

“…Purpose To evaluate changes in choroidal thickness before and after cataract surgery and factors affecting the changes. Setting Tsukazaki Hospital, Himeji,…”
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Comparison of visual performance of multifocal intraocular lenses with same material monofocal intraocular lenses by Yamauchi, Tomofusa, Tabuchi, Hitoshi, Takase, Kosuke, Ohsugi, Hideharu, Ohara, Zaigen, Kiuchi, Yoshiaki

“…To compare the visual performance of multifocal intraocular lenses (IOLs) and monofocal IOLs made of the same material. The subjects included patients…”
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Automatic Diagnosis of Diabetic Retinopathy Stage Focusing Exclusively on Retinal Hemorrhage by Tokuda, Yoshihiro, Tabuchi, Hitoshi, Nagasawa, Toshihiko, Tanabe, Mao, Deguchi, Hodaka, Yoshizumi, Yuki, Ohara, Zaigen, Takahashi, Hiroshi

“…Background and Objectives: The present study evaluated the detection of diabetic retinopathy (DR) using an automated fundus camera focusing exclusively on…”
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Accuracy of Diabetic Retinopathy Staging with a Deep Convolutional Neural Network Using Ultra-Wide-Field Fundus Ophthalmoscopy and Optical Coherence Tomography Angiography by Nagasawa, Toshihiko, Tabuchi, Hitoshi, Masumoto, Hiroki, Morita, Shoji, Niki, Masanori, Ohara, Zaigen, Yoshizumi, Yuki, Mitamura, Yoshinori

“…Purpose. The present study aimed to compare the accuracy of diabetic retinopathy (DR) staging with a deep convolutional neural network (DCNN) using two…”
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Accuracy of ultrawide-field fundus ophthalmoscopy-assisted deep learning for detecting treatment-naïve proliferative diabetic retinopathy by Nagasawa, Toshihiko, Tabuchi, Hitoshi, Masumoto, Hiroki, Enno, Hiroki, Niki, Masanori, Ohara, Zaigen, Yoshizumi, Yuki, Ohsugi, Hideharu, Mitamura, Yoshinori

“…Purpose We investigated using ultrawide-field fundus images with a deep convolutional neural network (DCNN), which is a machine learning technology, to detect…”
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Changes in choroidal thickness in patients with diabetic retinopathy by Ohara, Zaigen, Tabuchi, Hitoshi, Nakakura, Shunsuke, Yoshizumi, Yuki, Sumino, Hitomi, Maeda, Yukiko, Kiuchi, Yoshiaki

“…Purpose To investigate the changes in choroidal thickness (ChT) following panretinal photocoagulation (PRP) for diabetic retinopathy (DR) and compare ChT in…”
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Comparison of visual performance of toric vs non-toric intraocular lenses with same material by Yamauchi, Tomofusa, Tabuchi, Hitoshi, Takase, Kosuke, Ohara, Zaigen, Imamura, Hitoshi, Kiuchi, Yoshiaki

“…We compared the visual performance of toric intraocular lenses (IOLs) and non-toric IOLs made of the same material. The subjects included patients implanted…”
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Effects of kallidinogenase in patients undergoing vitrectomy for diabetic macular edema by Yoshizumi, Yuki, Ohara, Zaigen, Tabuchi, Hitoshi, Sumino, Hitomi, Maeda, Yukiko, Mochizuki, Hideki, Yamane, Ken, Kiuchi, Yoshiaki

“…Purpose To evaluate the effectiveness of the combination of vitrectomy with kallidinogenase for diabetic macular edema (DME). Methods This study was designed…”
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Comparison of visual performance of toric versus non-toric intraocular lenses with same material by Yamauchi, Tomofusa, Tabuchi, Hitoshi, Takase, Kosuke, Ohara, Zaigen, Imamura, Hitoshi, Kiuchi, Yoshiaki

“…Aim: We compared the visual performance of toric intraocular lenses (IOLs) and non-toric IOLs made of the same material. Patients and materials: The subjects…”
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