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Multi-layered tensor networks for image classification


Nov 13, 2020
Raghavendra Selvan, Silas Ørting, Erik B Dam

* 6 pages. Accepted to the First Workshop on Quantum Tensor Networks in Machine Learning. In conjunction with 34th NeurIPS, 2020. Source code at https://github.com/raghavian/mltn 

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Locally orderless tensor networks for classifying two- and three-dimensional medical images


Sep 25, 2020
Raghavendra Selvan, Silas Ørting, Erik B Dam

* Source code will be available at https://github.com/raghavian/LoTeNet_pytorch/ 

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A Survey of Crowdsourcing in Medical Image Analysis


Feb 25, 2019
Silas Ørting, Andrew Doyle, Matthias Hirth Arno van Hilten, Oana Inel, Christopher R. Madan, Panagiotis Mavridis, Helen Spiers, Veronika Cheplygina

* While this paper is a preprint, we welcome feedback from other researchers, which we will aim to incorporate in the journal version. Interested researchers can submit comments via https://goo.gl/forms/Qzr2yAJQjOnRCAF23 

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Deep Learning from Label Proportions for Emphysema Quantification


Jul 23, 2018
Gerda Bortsova, Florian Dubost, Silas Ørting, Ioannis Katramados, Laurens Hogeweg, Laura Thomsen, Mathilde Wille, Marleen de Bruijne

* Accepted to MICCAI 2018 

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