Julia Mai
Orcid: 0000-0002-0528-9742
According to our database1,
Julia Mai
authored at least 13 papers
between 2021 and 2024.
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Bibliography
2024
3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression From Longitudinal OCTs.
IEEE Trans. Medical Imaging, September, 2024
Morph-SSL: Self-Supervision With Longitudinal Morphing for Forecasting AMD Progression From OCT Volumes.
IEEE Trans. Medical Imaging, September, 2024
Anomaly guided segmentation: Introducing semantic context for lesion segmentation in retinal OCT using weak context supervision from anomaly detection.
Medical Image Anal., 2024
Interactive Deep Learning-Based Retinal OCT Layer Segmentation Refinement by Regressing Translation Maps.
IEEE Access, 2024
2023
Segmentation of Bruch's Membrane in Retinal OCT With AMD Using Anatomical Priors and Uncertainty Quantification.
IEEE J. Biomed. Health Informatics, 2023
CoRR, 2023
Morph-SSL: Self-Supervision with Longitudinal Morphing to Predict AMD Progression from OCT.
CoRR, 2023
Self-supervised Learning via Inter-modal Reconstruction and Feature Projection Networks for Label-Efficient 3D-to-2D Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT: A PINNACLE Study Report.
Proceedings of the Ophthalmic Medical Image Analysis - 10th International Workshop, 2023
2022
SD-LayerNet: Semi-supervised Retinal Layer Segmentation in OCT Using Disentangled Representation with Anatomical Priors.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
Projective Skip-Connections for Segmentation Along a Subset of Dimensions in Retinal OCT.
CoRR, 2021
Projective Skip-Connections for Segmentation Along a Subset of Dimensions in Retinal OCT.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021