B. Liefers

发表

Dense Segmentation in Selected Dimensions: Application to Retinal Optical Coherence Tomography

Bram van Ginneken, Clara I. Sánchez, Cristina González-Gonzalo, 2018, MIDL.

Reliability of Retinal Pathology Quantification in Age-Related Macular Degeneration: Implications for Clinical Trials and Machine Learning Applications

B. Liefers, A. Lotery, A. Tufail, 2020, medRxiv.

Highly Variable Disease Courses in Siblings with Stargardt Disease.

C. Sánchez, F. Cremers, C. Hoyng, 2019, Ophthalmology.

Adversarial Attack Vulnerability of Medical Image Analysis Systems: Unexplored Factors

Mitko Veta, Bram van Ginneken, Laurens Hogeweg, 2020, Medical Image Anal..

Genetic risk score has added value over initial clinical grading stage in predicting disease progression in age-related macular degeneration

H. Hense, C. Sánchez, A. D. den Hollander, 2019, Scientific Reports.

Enlargement of Geographic Atrophy From First Diagnosis to End of Life.

C. Klaver, P. Mitchell, C. Sánchez, 2021, JAMA ophthalmology.

Automatic detection of the foveal center in optical coherence tomography.

Thomas Theelen, Bram van Ginneken, Bart Liefers, 2017, Biomedical optics express.

Opening the “black box” of deep learning in automated screening of eye diseases

Cristina González-Gonzalo, Akshayaa Vaidyanathan, Caroline C W Klaver, 2019 .

Machine-learning and Automatically Segmented Retinal Biomarkers Generate Spatial Heatmaps Predictive for Standard and Low Luminance Visual Acuity in Geographic Atrophy

P. Keane, L. Faes, S. Wagner, 2022 .

Clinically relevant deep learning for detection and quantification of geographic atrophy from optical coherence tomography: a model development and external validation study.

P. Keane, L. Faes, S. Wagner, 2021, The Lancet. Digital health.

Genetic risk score has added value over initial clinical grading stage in predicting disease progression in age-related macular degeneration Genetic risk score has added value over initial clinical grading stage in predicting disease

H. Hense, C. Sánchez, T. Peto, 2019 .

Prediction of visual function from automatically quantified optical coherence tomography biomarkers in patients with geographic atrophy using machine learning

L. Faes, S. Wagner, D. J. Fu, 2022, Scientific Reports.

Adversarial Attack Vulnerability of Medical Image Analysis Systems: Unexplored Factors

Marleen de Bruijne, M. Veta, B. Ginneken, 2020, Medical Image Anal..

Automatic glaucoma classification using color fundus images based on convolutional neural networks and transfer learning.

Bart Liefers, Alfonso Antón, Gianluca Fatti, 2019, Biomedical optics express.

Enablers and Barriers to Deployment of Smartphone-Based Home Vision Monitoring in Clinical Practice Settings

P. Keane, S. Wagner, D. J. Fu, 2021, JAMA ophthalmology.

Charles Bonnet syndrome in patients with Stargardt disease: prevalence and risk factors

B. J. Klevering, R. Teunisse, J. Cruysberg, 2021, British Journal of Ophthalmology.

Quantification of key retinal features in early and late age-related macular degeneration using deep learning.

C. Sánchez, K. Balaskas, B. Liefers, 2021, American journal of ophthalmology.

A deep learning model for segmentation of geographic atrophy to study its long-term natural history

Bram van Ginneken, Caroline C. W. Klaver, Clara I. Sánchez, 2019, ArXiv.

Deep learning approach for the detection and quantification of intraretinal cystoid fluid in multivendor optical coherence tomography.

Thomas Theelen, Bram van Ginneken, Bart Liefers, 2018, Biomedical optics express.

Robust total retina thickness segmentation in optical coherence tomography images using convolutional neural networks.

Thomas Theelen, Bram van Ginneken, Bart Liefers, 2017, Biomedical optics express.

Morphological and topographical appearance of microaneurysms on optical coherence tomography angiography

B. J. Klevering, C. Hoyng, B. Liefers, 2018, British Journal of Ophthalmology.

Development and international validation of custom-engineered and code-free deep-learning models for detection of plus disease in retinopathy of prematurity: a retrospective study

P. Keane, L. Faes, S. Wagner, 2023, The Lancet. Digital health.

SynthEye: Investigating the Impact of Synthetic Data on Artificial Intelligence-assisted Gene Diagnosis of Inherited Retinal Disease

P. Keane, S. Wagner, K. Balaskas, 2022, Ophthalmology science.

What Feels Parallel Strongly Depends on Hand Orientation

Astrid M. L. Kappers, Bart J. Liefers, A. Kappers, 2012, EuroHaptics.

Iterative Augmentation of Visual Evidence for Weakly-Supervised Lesion Localization in Deep Interpretability Frameworks: Application to Color Fundus Images

Clara I. Sánchez, Bram van Ginneken, Cristina González-Gonzalo, 2019, IEEE Transactions on Medical Imaging.

Deep-learning automated quantification of longitudinal OCT scans demonstrates reduced RPE loss rate, preservation of intact macular area and predictive value of isolated photoreceptor degeneration in geographic atrophy patients receiving C3 inhibition treatment

P. Keane, L. Faes, D. J. Fu, 2023, British Journal of Ophthalmology.

Fovea detection in optical coherence tomography using convolutional neural networks

Bram van Ginneken, Thomas Theelen, Clara I. Sánchez, 2017, Medical Imaging.

A Deep Learning Model for Segmentation of Geographic Atrophy to Study Its Long-Term Natural History.

B. van Ginneken, C. Klaver, C. Hoyng, 2020, Ophthalmology.

Adversarial Attack Vulnerability of Medical Image Analysis Systems

Marleen de Bruijne, M. Veta, B. Ginneken, 2020 .

Iterative Augmentation of Visual Evidence for Weakly-Supervised Lesion Localization in Deep Interpretability Frameworks: Application to Color Fundus Images

B. van Ginneken, B. Liefers, C. I. Sánchez, 2019, IEEE Transactions on Medical Imaging.

Deep learning approach for the detection and quantification of intraretinal cystoid fluid in multivendor optical coherence tomography.

B. van Ginneken, C. Hoyng, B. Liefers, 2018, Biomedical optics express.

Evaluating the Effects of C3 Inhibition on Geographic Atrophy Progression from Deep-Learning OCT Quantification: A Split-Person Study

P. Keane, D. J. Fu, K. Balaskas, 2023, Ophthalmology and Therapy.