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Sato S 16
Showing records 1 to 16 | Display all abstracts from Sato S122971 The Use of Artificial Intelligence for Estimating Anterior Chamber Depth from Slit-Lamp Images Developed Using Anterior-Segment Optical Coherence Tomography
Shimizu E
Bioengineering (Basel, Switzerland) 2024; 11:
122276 Long-term risk factors for poor visual outcomes in patients with epiretinal membrane and open-angle glaucoma: a retrospective study
Kanai M; Sakimoto S
Scientific reports 2024; 14: 28660
122971 The Use of Artificial Intelligence for Estimating Anterior Chamber Depth from Slit-Lamp Images Developed Using Anterior-Segment Optical Coherence Tomography
Tanaka K; Nishimura H
Bioengineering (Basel, Switzerland) 2024; 11:
122276 Long-term risk factors for poor visual outcomes in patients with epiretinal membrane and open-angle glaucoma: a retrospective study
Suzue M
Scientific reports 2024; 14: 28660
122971 The Use of Artificial Intelligence for Estimating Anterior Chamber Depth from Slit-Lamp Images Developed Using Anterior-Segment Optical Coherence Tomography
Nishimura H; Nishimura H
Bioengineering (Basel, Switzerland) 2024; 11:
122276 Long-term risk factors for poor visual outcomes in patients with epiretinal membrane and open-angle glaucoma: a retrospective study
Shiozaki D
Scientific reports 2024; 14: 28660
122971 The Use of Artificial Intelligence for Estimating Anterior Chamber Depth from Slit-Lamp Images Developed Using Anterior-Segment Optical Coherence Tomography
Agata N; Tanji M
Bioengineering (Basel, Switzerland) 2024; 11:
122276 Long-term risk factors for poor visual outcomes in patients with epiretinal membrane and open-angle glaucoma: a retrospective study
Okazaki T
Scientific reports 2024; 14: 28660
122971 The Use of Artificial Intelligence for Estimating Anterior Chamber Depth from Slit-Lamp Images Developed Using Anterior-Segment Optical Coherence Tomography
Nakayama S; Nakayama S
Bioengineering (Basel, Switzerland) 2024; 11:
122276 Long-term risk factors for poor visual outcomes in patients with epiretinal membrane and open-angle glaucoma: a retrospective study
Shiraki A
Scientific reports 2024; 14: 28660
122971 The Use of Artificial Intelligence for Estimating Anterior Chamber Depth from Slit-Lamp Images Developed Using Anterior-Segment Optical Coherence Tomography
Nakayama S; Khemlani RJ; Khemlani RJ; Yokoiwa R; Yokoiwa R; Yokoiwa R
Bioengineering (Basel, Switzerland) 2024; 11:
122276 Long-term risk factors for poor visual outcomes in patients with epiretinal membrane and open-angle glaucoma: a retrospective study
Maruyama K; Usui S
Scientific reports 2024; 14: 28660
122971 The Use of Artificial Intelligence for Estimating Anterior Chamber Depth from Slit-Lamp Images Developed Using Anterior-Segment Optical Coherence Tomography
Sato S; Shiba D
Bioengineering (Basel, Switzerland) 2024; 11:
122276 Long-term risk factors for poor visual outcomes in patients with epiretinal membrane and open-angle glaucoma: a retrospective study
Sato S; Matsushita K
Scientific reports 2024; 14: 28660
122971 The Use of Artificial Intelligence for Estimating Anterior Chamber Depth from Slit-Lamp Images Developed Using Anterior-Segment Optical Coherence Tomography
Sato Y
Bioengineering (Basel, Switzerland) 2024; 11:
122276 Long-term risk factors for poor visual outcomes in patients with epiretinal membrane and open-angle glaucoma: a retrospective study
Maeno T; Nishida K
Scientific reports 2024; 14: 28660