advertisement
Christopher M 34
Showing records 1 to 25 | Display all abstracts from Christopher M106701 Detecting Glaucoma from Fundus Photographs Using Deep Learning without Convolutions: Transformer for Improved Generalization
Fan R
Ophthalmology science 2023; 3: 100233
106254 Combining Optical Coherence Tomography and Optical Coherence Tomography Angiography Longitudinal Data for the Detection of Visual Field Progression in Glaucoma
Kamalipour A
American Journal of Ophthalmology 2023; 246: 141-154
106253 Deep Learning Estimation of 10-2 Visual Field Map Based on Circumpapillary Retinal Nerve Fiber Layer Thickness Measurements
Kamalipour A
American Journal of Ophthalmology 2023; 246: 163-173
106701 Detecting Glaucoma from Fundus Photographs Using Deep Learning without Convolutions: Transformer for Improved Generalization
Alipour K
Ophthalmology science 2023; 3: 100233
106253 Deep Learning Estimation of 10-2 Visual Field Map Based on Circumpapillary Retinal Nerve Fiber Layer Thickness Measurements
Moghimi S
American Journal of Ophthalmology 2023; 246: 163-173
106254 Combining Optical Coherence Tomography and Optical Coherence Tomography Angiography Longitudinal Data for the Detection of Visual Field Progression in Glaucoma
Moghimi S
American Journal of Ophthalmology 2023; 246: 141-154
106701 Detecting Glaucoma from Fundus Photographs Using Deep Learning without Convolutions: Transformer for Improved Generalization
Bowd C
Ophthalmology science 2023; 3: 100233
106254 Combining Optical Coherence Tomography and Optical Coherence Tomography Angiography Longitudinal Data for the Detection of Visual Field Progression in Glaucoma
Khosravi P
American Journal of Ophthalmology 2023; 246: 141-154
106253 Deep Learning Estimation of 10-2 Visual Field Map Based on Circumpapillary Retinal Nerve Fiber Layer Thickness Measurements
Khosravi P; Jazayeri MS
American Journal of Ophthalmology 2023; 246: 163-173
106254 Combining Optical Coherence Tomography and Optical Coherence Tomography Angiography Longitudinal Data for the Detection of Visual Field Progression in Glaucoma
Mohammadzadeh V
American Journal of Ophthalmology 2023; 246: 141-154
106701 Detecting Glaucoma from Fundus Photographs Using Deep Learning without Convolutions: Transformer for Improved Generalization
Christopher M
Ophthalmology science 2023; 3: 100233
106253 Deep Learning Estimation of 10-2 Visual Field Map Based on Circumpapillary Retinal Nerve Fiber Layer Thickness Measurements
Nishida T
American Journal of Ophthalmology 2023; 246: 163-173
106254 Combining Optical Coherence Tomography and Optical Coherence Tomography Angiography Longitudinal Data for the Detection of Visual Field Progression in Glaucoma
Nishida T
American Journal of Ophthalmology 2023; 246: 141-154
106701 Detecting Glaucoma from Fundus Photographs Using Deep Learning without Convolutions: Transformer for Improved Generalization
Brye N; Proudfoot JA
Ophthalmology science 2023; 3: 100233
106254 Combining Optical Coherence Tomography and Optical Coherence Tomography Angiography Longitudinal Data for the Detection of Visual Field Progression in Glaucoma
Micheletti E
American Journal of Ophthalmology 2023; 246: 141-154
106253 Deep Learning Estimation of 10-2 Visual Field Map Based on Circumpapillary Retinal Nerve Fiber Layer Thickness Measurements
Mahmoudinezhad G
American Journal of Ophthalmology 2023; 246: 163-173
106254 Combining Optical Coherence Tomography and Optical Coherence Tomography Angiography Longitudinal Data for the Detection of Visual Field Progression in Glaucoma
Wu JH
American Journal of Ophthalmology 2023; 246: 141-154
106253 Deep Learning Estimation of 10-2 Visual Field Map Based on Circumpapillary Retinal Nerve Fiber Layer Thickness Measurements
Li EH
American Journal of Ophthalmology 2023; 246: 163-173
106701 Detecting Glaucoma from Fundus Photographs Using Deep Learning without Convolutions: Transformer for Improved Generalization
Goldbaum MH
Ophthalmology science 2023; 3: 100233
106254 Combining Optical Coherence Tomography and Optical Coherence Tomography Angiography Longitudinal Data for the Detection of Visual Field Progression in Glaucoma
Mahmoudinezhad G
American Journal of Ophthalmology 2023; 246: 141-154
106253 Deep Learning Estimation of 10-2 Visual Field Map Based on Circumpapillary Retinal Nerve Fiber Layer Thickness Measurements
Christopher M
American Journal of Ophthalmology 2023; 246: 163-173
106701 Detecting Glaucoma from Fundus Photographs Using Deep Learning without Convolutions: Transformer for Improved Generalization
Belghith A
Ophthalmology science 2023; 3: 100233
106254 Combining Optical Coherence Tomography and Optical Coherence Tomography Angiography Longitudinal Data for the Detection of Visual Field Progression in Glaucoma
Li EHF
American Journal of Ophthalmology 2023; 246: 141-154
106253 Deep Learning Estimation of 10-2 Visual Field Map Based on Circumpapillary Retinal Nerve Fiber Layer Thickness Measurements
Liebmann JM
American Journal of Ophthalmology 2023; 246: 163-173
106701 Detecting Glaucoma from Fundus Photographs Using Deep Learning without Convolutions: Transformer for Improved Generalization
Girkin CA; Fazio MA
Ophthalmology science 2023; 3: 100233
