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Deep Learning for Retrospective Motion Correction in MRI: A Comprehensive Review


May 11, 2023
Veronika Spieker, Hannah Eichhorn, Kerstin Hammernik, Daniel Rueckert, Christine Preibisch, Dimitrios C. Karampinos, Julia A. Schnabel

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Deep Learning-Based Detection of Motion-Affected k-Space Lines for T2*-Weighted MRI


Mar 20, 2023
Hannah Eichhorn, Kerstin Hammernik, Veronika Spieker, Samira M. Epp, Daniel Rueckert, Christine Preibisch, Julia A. Schnabel

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* Submitted to MICCAI 2023 

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3D Masked Autoencoders with Application to Anomaly Detection in Non-Contrast Enhanced Breast MRI


Mar 10, 2023
Daniel M. Lang, Eli Schwartz, Cosmin I. Bercea, Raja Giryes, Julia A. Schnabel

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Fully transformer-based biomarker prediction from colorectal cancer histology: a large-scale multicentric study


Jan 23, 2023
Sophia J. Wagner, Daniel Reisenb眉chler, Nicholas P. West, Jan Moritz Niehues, Gregory Patrick Veldhuizen, Philip Quirke, Heike I. Grabsch, Piet A. van den Brandt, Gordon G. A. Hutchins, Susan D. Richman, Tanwei Yuan, Rupert Langer, Josien Christina Anna Jenniskens, Kelly Offermans, Wolfram Mueller, Richard Gray, Stephen B. Gruber, Joel K. Greenson, Gad Rennert, Joseph D. Bonner, Daniel Schmolze, Jacqueline A. James, Maurice B. Loughrey, Manuel Salto-Tellez, Hermann Brenner, Michael Hoffmeister, Daniel Truhn, Julia A. Schnabel, Melanie Boxberg, Tingying Peng, Jakob Nikolas Kather

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Automated Quality Controlled Analysis of 2D Phase Contrast Cardiovascular Magnetic Resonance Imaging


Sep 28, 2022
Emily Chan, Ciaran O'Hanlon, Carlota Asegurado Marquez, Marwenie Petalcorin, Jorge Mariscal-Harana, Haotian Gu, Raymond J. Kim, Robert M. Judd, Phil Chowienczyk, Julia A. Schnabel, Reza Razavi, Andrew P. King, Bram Ruijsink, Esther Puyol-Ant贸n

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* STACOM 2022 workshop 

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Evaluation of 3D GANs for Lung Tissue Modelling in Pulmonary CT


Aug 17, 2022
Sam Ellis, Octavio E. Martinez Manzanera, Vasileios Baltatzis, Ibrahim Nawaz, Arjun Nair, Lo茂c Le Folgoc, Sujal Desai, Ben Glocker, Julia A. Schnabel

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* Accepted for publication at the Journal of Machine Learning for Biomedical Imaging (MELBA) https://www.melba-journal.org/papers/2022:024.html 

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Placenta Segmentation in Ultrasound Imaging: Addressing Sources of Uncertainty and Limited Field-of-View


Jun 29, 2022
Veronika A. Zimmer, Alberto Gomez, Emily Skelton, Robert Wright, Gavin Wheeler, Shujie Deng, Nooshin Ghavami, Karen Lloyd, Jacqueline Matthew, Bernhard Kainz, Daniel Rueckert, Joseph V. Hajnal, Julia A. Schnabel

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* 21 pages (18 + appendix), 13 figures (9 + appendix) 

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What do we learn? Debunking the Myth of Unsupervised Outlier Detection


Jun 08, 2022
Cosmin I. Bercea, Daniel Rueckert, Julia A. Schnabel

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A Deep Learning-based Integrated Framework for Quality-aware Undersampled Cine Cardiac MRI Reconstruction and Analysis


May 02, 2022
In锚s P. Machado, Esther Puyol-Ant贸n, Kerstin Hammernik, Gast茫o Cruz, Devran Ugurlu, Ihsane Olakorede, Ilkay Oksuz, Bram Ruijsink, Miguel Castelo-Branco, Alistair A. Young, Claudia Prieto, Julia A. Schnabel, Andrew P. King

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The Impact of Domain Shift on Left and Right Ventricle Segmentation in Short Axis Cardiac MR Images


Sep 22, 2021
Devran Ugurlu, Esther Puyol-Anton, Bram Ruijsink, Alistair Young, Ines Machado, Kerstin Hammernik, Andrew P. King, Julia A. Schnabel

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* Accepted to STACOM 2021 

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