283 results on '"Gerendas, Bianca S."'
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2. An Automated Comparative Analysis of the Exudative Biomarkers in Neovascular Age-Related Macular Degeneration, The RAP Study: Report 6
3. Blood vessel segmentation in en-face OCTA images: a frequency based method
4. A systematic evaluation of human expert agreement on optical coherence tomography biomarkers using multiple devices
5. Optical coherence tomography in multiple sclerosis: A 3‐year prospective multicenter study
6. Segmentation of macular neovascularization and leakage in fluorescein angiography images in neovascular age-related macular degeneration using deep learning
7. Therapeutic response in the HAWK and HARRIER trials using deep learning in retinal fluid volume and compartment analysis
8. Correspondence
9. An amplified-target loss approach for photoreceptor layer segmentation in pathological OCT scans
10. Using CycleGANs for effectively reducing image variability across OCT devices and improving retinal fluid segmentation
11. U2-Net: A Bayesian U-Net model with epistemic uncertainty feedback for photoreceptor layer segmentation in pathological OCT scans
12. On orthogonal projections for dimension reduction and applications in augmented target loss functions for learning problems
13. Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data
14. Reply
15. Comparison of early diabetic retinopathy staging in asymptomatic patients between autonomous AI-based screening and human-graded ultra-widefield colour fundus images
16. The RAP study, report 4: morphological and topographical characteristics of multifocal macular neovascularization type 3
17. Reproducibility of Retinal Thickness Measurements across Spectral-Domain Optical Coherence Tomography Devices using Iowa Reference Algorithm
18. Identifying and Categorizing Anomalies in Retinal Imaging Data
19. Validation of an automated fluid algorithm on real-world data of neovascular AMD over five years
20. Foveal Avascular Zone Segmentation in Clinical Routine Fluorescein Angiographies Using Multitask Learning
21. Correspondence
22. THE RAP STUDY, REPORT 5: REDISCOVERING MACULAR NEOVASCULARIZATION TYPE 3: Multimodal Imaging of Fellow Eyes over 24 months
23. Artificial intelligence in retina
24. Machine Learning to Analyze the Prognostic Value of Current Imaging Biomarkers in Neovascular Age-Related Macular Degeneration
25. Comment to: Age-related retentional avascular pigment epithelial detachment viewed with indocyanine green angiography
26. Automated Quantification of Photoreceptor alteration in macular disease using Optical Coherence Tomography and Deep Learning
27. Functional versus functional and anatomical criteria-guided ranibizumab treatment in patients with neovascular age-related macular degeneration – results from the randomized, phase IIIb OCTAVE study
28. Quality assessment of colour fundus and fluorescein angiography images using deep learning.
29. Foveal Avascular Zone Segmentation in Clinical Routine Fluorescein Angiographies Using Multitask Learning
30. An Amplified-Target Loss Approach for Photoreceptor Layer Segmentation in Pathological OCT Scans
31. THE RAP STUDY, REPORT TWO: The Regional Distribution of Macular Neovascularization Type 3, a Novel Insight Into Its Etiology
32. MORPHOLOGICAL AND FUNCTIONAL CHARACTERISTICS AT THE ONSET OF EXUDATIVE CONVERSION IN AGE-RELATED MACULAR DEGENERATION
33. Spatio-Temporal Signatures to Predict Retinal Disease Recurrence
34. Reply to comment to: The impact of the vitreomacular interface on functional and anatomical outcomes in diabetic macular edema treated with three different anti-VEGF agents: post hoc analysis of the Protocol T study
35. A novel benchmark model for intelligent annotation of spectral-domain optical coherence tomography scans using the example of cyst annotation
36. Neovascular Age-Related Macular Degeneration
37. Early and Intermediate Age-Related Macular Degeneration
38. Quality assessment of colour fundus and fluorescein angiography images using deep learning
39. A systematic evaluation of human expert agreement on optical coherence tomography biomarkers using multiple devices
40. Quality assessment of colour fundus and fluorescein angiography images using deep learning
41. THE IMPACT OF THE VITREOMACULAR INTERFACE ON FUNCTIONAL AND ANATOMICAL OUTCOMES IN DIABETIC MACULAR EDEMA TREATED WITH THREE DIFFERENT ANTI-VEGF AGENTS
42. VALIDATION OF AN AUTOMATED FLUID ALGORITHM ON REAL-WORLD DATA OF NEOVASCULAR AGE-RELATED MACULAR DEGENERATION OVER FIVE YEARS
43. Robust Fovea Detection in Retinal OCT Imaging Using Deep Learning
44. Segmentation of macular neovascularization and leakage in fluorescein angiography images in neovascular age-related macular degeneration using deep learning
45. Blood vessel segmentation in en-face OCTA images: a frequency based method
46. Computational image analysis for prognosis determination in DME
47. Therapeutic response in the HAWK and HARRIER trials using deep learning in retinal fluid volume and compartment analysis
48. Association of microvascular biomarkers in fluorescein angiography with macrovascular-related mortality in clinical routine data
49. Improving foveal avascular zone segmentation in fluorescein angiograms by leveraging manual vessel labels from public color fundus pictures
50. Guidelines for the Management of Diabetic Macular Edema by the European Society of Retina Specialists (EURETINA)
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