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Agata Mosinska
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Beyond the pixel-wise loss for topology-aware delineation
A Mosinska, P Marquez-Neila, M Koziński, P Fua
Proceedings of the IEEE conference on computer vision and pattern …, 2018
2412018
Glampoints: Greedily learned accurate match points
P Truong, S Apostolopoulos, A Mosinska, S Stucky, C Ciller, SD Zanet
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
642019
Machine learning can predict anti–VEGF treatment demand in a treat-and-extend regimen for patients with neovascular AMD, DME, and RVO associated macular edema
M Gallardo, MR Munk, T Kurmann, S De Zanet, A Mosinska, IK Karagoz, ...
Ophthalmology retina 5 (7), 604-624, 2021
372021
Joint segmentation and path classification of curvilinear structures
A Mosinska, M Koziński, P Fua
IEEE transactions on pattern analysis and machine intelligence 42 (6), 1515-1521, 2019
332019
Automated quantification of pathological fluids in neovascular age-related macular degeneration, and its repeatability using deep learning
I Mantel, A Mosinska, C Bergin, MS Polito, J Guidotti, S Apostolopoulos, ...
Translational Vision Science & Technology 10 (4), 17-17, 2021
292021
Active learning for delineation of curvilinear structures
A Mosinska-Domanska, R Sznitman, P Glowacki, P Fua
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
202016
Fully-automated atrophy segmentation in dry age-related macular degeneration in optical coherence tomography
Y Derradji, A Mosinska, S Apostolopoulos, C Ciller, S De Zanet, I Mantel
Scientific reports 11 (1), 21893, 2021
192021
Tracing in 2D to reduce the annotation effort for 3D deep delineation of linear structures
M Koziński, A Mosinska, M Salzmann, P Fua
Medical image analysis 60, 101590, 2020
182020
Active learning and proofreading for delineation of curvilinear structures
A Mosinska, J Tarnawski, P Fua
International Conference on Medical Image Computing and Computer-Assisted …, 2017
182017
Learning to segment 3D linear structures using only 2D annotations
M Koziński, A Mosinska, M Salzmann, P Fua
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
102018
Personalized atrophy risk mapping in age-related macular degeneration
A Gigon, A Mosinska, A Montesel, Y Derradji, S Apostolopoulos, C Ciller, ...
Translational Vision Science & Technology 10 (13), 18-18, 2021
92021
Reconstructing evolving tree structures in time lapse sequences by enforcing time-consistency
P Głowacki, MA Pinheiro, A Mosinska, E Türetken, D Lebrecht, ...
IEEE transactions on pattern analysis and machine intelligence 40 (3), 755-761, 2017
92017
Artificial intelligence-based fluid quantification and associated visual outcomes in a real-world, multicentre neovascular age-related macular degeneration national database
R Martin-Pinardel, J Izquierdo-Serra, S De Zanet, A Parrado-Carrillo, ...
British Journal of Ophthalmology 108 (2), 253-262, 2024
72024
Comparison of drusen volume assessed by two different OCT devices
M Beck, DS Joshi, L Berger, G Klose, S De Zanet, A Mosinska, ...
Journal of clinical medicine 9 (8), 2657, 2020
52020
Automated detection and quantification of pathological fluid in neovascular age-related macular degeneration using a deep learning approach
S De Zanet, A Mosinska, C Bergin, MS Polito, J Guidotti, ...
Investigative Ophthalmology & Visual Science 61 (7), 1655-1655, 2020
52020
Glampoints: Greedily learned accurate match points. 2019 IEEE
P Truong, S Apostolopoulos, A Mosinska, S Stucky, C Ciller, S De Zanet
CVF International Conference on Computer Vision (ICCV), 10731-10740, 2019
52019
Automated foveal location detection on spectral-domain optical coherence tomography in geographic atrophy patients
A Montesel, A Gigon, A Mosinska, S Apostolopoulos, C Ciller, S De Zanet, ...
Graefe's Archive for Clinical and Experimental Ophthalmology 260 (7), 2261-2270, 2022
42022
Estimating uncertainty of deep neural networks for age-related macular degeneration grading using optical coherence tomography
C de Vente, M van Grinsven, S De Zanet, A Mosinska, R Sznitman, ...
Investigative Ophthalmology & Visual Science 61 (7), 1630-1630, 2020
32020
Learning approach to delineation of curvilinear structures in 2D and 3D images
AJ Mosinska
EPFL, 2019
12019
Longitudinal analysis of Retinal Pigment Epithelium Atrophy progression using automated segmentation algorithm
A Mosinska, M Stadelmann, A Montesel, A Gigon, S Apostolopoulos, ...
Investigative Ophthalmology & Visual Science 62 (8), 2453-2453, 2021
2021
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