Computational Imaging and AI in Medicine
Computational Imaging and AI in Medicine
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Publications
Type
Conference paper
Journal article
Preprint
Date
2022
What do we learn? Debunking the Myth of Unsupervised Outlier Detection
Even though auto-encoders (AEs) have the desirable property of learning compact representations without labels and have been widely …
Cosmin I. Bercea
,
Daniel Rueckert
,
Julia A. Schnabel
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Improved 3D tumour definition and quantification of uptake in simulated lung tumours using deep learning
Laura Dal Toso
,
Zacharias Chalampalakis
,
Irène Buvat
,
Claude Comtat
,
Gary Cook
,
Vicky Goh
,
Julia A. Schnabel
,
Paul K Marsden
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AtrialJSQnet: A New framework for joint segmentation and quantification of left atrium and scars incorporating spatial and shape information
Lei Li
,
Veronika Zimmer
,
Julia A. Schnabel
,
Xiahai Zhuang
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A Deep Learning-based Integrated Framework for Quality-aware Undersampled Cine Cardiac MRI Reconstruction and Analysis
Inês P Machado
,
Esther Puyol-Antón
,
Kerstin Hammernik
,
Gastao Cruz
,
Devran Ugurlu
,
Ihsane Olakorede
,
Ilkay Oksuz
,
Bram Ruijsink
,
Miguel Castelo-Branco
,
Alistair A Young
,
others
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