Julia A. Schnabel

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Papers (9)

1. Dynamic Decision Learning: Test-Time Evolution for Abnormality Grounding in Rare Diseases cs.CL · 2026 · author #7
2. Detection and Correction of Cardiac MR Motion Artefacts during Reconstruction from K-space eess.IV · 2019 · author #10
3. FastReg: Fast Non-Rigid Registration via Accelerated Optimisation on the Manifold of Diffeomorphisms cs.CV · 2019 · author #6
4. Explicit topological priors for deep-learning based image segmentation using persistent homology cs.CV · 2019 · author #4
5. Magnetic Resonance Fingerprinting using Recurrent Neural Networks cs.CV · 2018 · author #9
6. Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning cs.CV · 2018 · author #10
7. Deep Learning using K-space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection cs.CV · 2018 · author #8
8. Weakly Supervised Localisation for Fetal Ultrasound Images cs.CV · 2018 · author #7
9. Extracting 3D Vascular Structures from Microscopy Images using Convolutional Recurrent Networks cs.CV · 2017 · author #7

Mentions

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Frequent Coauthors

• Andrew P. King 5 shared papers
• Aurelien Bustin 4 shared papers
• Claudia Prieto 4 shared papers
• Gastao Cruz 4 shared papers
• Ilkay Oksuz 4 shared papers
• Bram Ruijsink 3 shared papers
• Daniel Rueckert 3 shared papers
• Esther Puyol-Anton 3 shared papers
• James Clough 3 shared papers
• Bishesh Khanal 2 shared papers
• Alberto Gomez 1 shared papers
• Ben Glocker 1 shared papers
• Benjamin Irving 1 shared papers
• Bernhard Kainz 1 shared papers
• Bostjan Markelc 1 shared papers
• Che Liu 1 shared papers
• Cosmin I. Bercea 1 shared papers
• Daniel Grzech 1 shared papers
• Emily Skelton 1 shared papers
• Jacqueline Matthew 1 shared papers