Caroline C. W. Klaver

According to our database, Caroline C. W. Klaver authored at least 10 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Uncertainty-aware multiple-instance learning for reliable classification: Application to optical coherence tomography.

Coen de Vente, Bram van Ginneken, Carel B. Hoyng, Caroline C. W. Klaver, Clara I. Sánchez

Medical Image Anal., 2024

VascX Models: Model Ensembles for Retinal Vascular Analysis from Color Fundus Images.

Jose Vargas Quiros, Bart Liefers, Karin van Garderen, Jeroen Vermeulen, Eyened Reading Center, Sinergia Consortium, Caroline Klaver

CoRR, 2024

2023

Comparison of different retinal regions-of-interest imaged by OCT for the classification of intermediate AMD.

Danilo Andrade De Jesus, Eric F. Thee, Tim Doekemeijer, Daniel T. Luttikhuizen, Caroline Klaver, Stefan Klein, Theo van Walsum, Hans Vingerling, Luisa Sánchez

CoRR, 2023

2021

ArnovanHilten/GenNet: Release GenNet 1.4.

Arno van Hilten, Steven A. Kushner, Manfred Kayser, Mohammad Arfan Ikram, Hieab H. H. Adams, Caroline C. W. Klaver, Wiro J. Niessen, Gennady V. Roshchupkin

Dataset, August, 2021

Multimodal, multitask, multiattention (M3) deep learning detection of reticular pseudodrusen: Toward automated and accessible classification of age-related macular degeneration.

Qingyu Chen, Tiarnan D. L. Keenan, Alexis Allot, Yifan Peng, Elvira Agrón, Amitha Domalpally, Caroline C. W. Klaver, Daniel T. Luttikhuizen, Marcus H. Colyer, Catherine A. Cukras, Henry E. Wiley, M. Teresa Magone, Chantal Cousineau-Krieger, Wai T. Wong, Yingying Zhu, Emily Y. Chew, Zhiyong Lu

J. Am. Medical Informatics Assoc., 2021

2020

Multi-modal, multi-task, multi-attention (M3) deep learning detection of reticular pseudodrusen: towards automated and accessible classification of age-related macular degeneration.

Qingyu Chen, Tiarnan D. L. Keenan, Alexis Allot, Yifan Peng, Elvira Agrón, Amitha Domalpally, Caroline C. W. Klaver, Daniel T. Luttikhuizen, Marcus H. Colyer, Catherine A. Cukras, Henry E. Wiley, M. Teresa Magone, Chantal Cousineau-Krieger, Wai T. Wong, Yingying Zhu, Emily Y. Chew, Zhiyong Lu

CoRR, 2020

2019

RETOUCH: The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge.

Hrvoje Bogunovic, Freerk G. Venhuizen, Sophie Klimscha, Stefanos Apostolopoulos, Alireza Bab-Hadiashar, Ulas Bagci, Mirza Faisal Beg, Loza Bekalo, Qiang Chen, Carlos Ciller, Karthik Gopinath, Amirali K. Gostar, Kiwan Jeon, Zexuan Ji, Sung Ho Kang, Dara D. Koozekanani, Donghuan Lu, Dustin Morley, Keshab K. Parhi, Hyoung Suk Park, Abdolreza Rashno, Marinko Sarunic, Saad Shaikh, Jayanthi Sivaswamy, Ruwan B. Tennakoon, Shivin Yadav, Sandro De Zanet, Sebastian M. Waldstein, Bianca S. Gerendas, Caroline Klaver, Clara I. Sánchez, Ursula Schmidt-Erfurth

IEEE Trans. Medical Imaging, 2019

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

Bart Liefers, Johanna M. Colijn, Cristina González-Gonzalo, Timo Verzijden, Paul Mitchell, Carel B. Hoyng, Bram van Ginneken, Caroline C. W. Klaver, Clara I. Sánchez

CoRR, 2019

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

Bart Liefers, Cristina González-Gonzalo, Caroline Klaver, Bram van Ginneken, Clara I. Sánchez

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

2015

Method for segmentation of the layers in the outer retina.

Jelena Novosel, Koenraad A. Vermeer, Laurence Pierrache, Caroline C. W. Klaver, L. I. van den Born, Lucas J. van Vliet

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015