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    Chapter and Conference Paper

    Projective Skip-Connections for Segmentation Along a Subset of Dimensions in Retinal OCT

    In medical imaging, there are clinically relevant segmentation tasks where the output mask is a projection to a subset of input image dimensions. In this work, we propose a novel convolutional neural network ...

    Dmitrii Lachinov, Philipp Seeböck, Julia Mai in Medical Image Computing and Computer Assis… (2021)

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    Chapter and Conference Paper

    Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT: A PINNACLE Study Report

    In the field of medical imaging, 3D deep learning models play a crucial role in building powerful predictive models of disease progression. However, the size of these models presents significant challenges, bo...

    Taha Emre, Marzieh Oghbaie, Arunava Chakravarty in Ophthalmic Medical Image Analysis (2023)