Attention gated networks: Learning to leverage salient regions in medical images von Schlemper, Jo, Oktay, Ozan, Schaap, Michiel, Heinrich, Mattias, Kainz, Bernhard, Glocker, Ben, Rueckert, Daniel

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Self-supervised learning for medical image analysis using image context restoration von Chen, Liang, Bentley, Paul, Mori, Kensaku, Misawa, Kazunari, Fujiwara, Michitaka, Rueckert, Daniel

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A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction von Schlemper, Jo, Caballero, Jose, Hajnal, Joseph V., Price, Anthony N., Rueckert, Daniel

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Multi-modal classification of Alzheimer's disease using nonlinear graph fusion von Tong, Tong, Gray, Katherine, Gao, Qinquan, Chen, Liang, Rueckert, Daniel

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Fully automatic acute ischemic lesion segmentation in DWI using convolutional neural networks von Chen, Liang, Bentley, Paul, Rueckert, Daniel

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Deep Learning for Cardiac Image Segmentation: A Review von Chen, Chen, Qin, Chen, Qiu, Huaqi, Tarroni, Giacomo, Duan, Jinming, Bai, Wenjia, Rueckert, Daniel

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Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer’s disease von Parisot, Sarah, Ktena, Sofia Ira, Ferrante, Enzo, Lee, Matthew, Guerrero, Ricardo, Glocker, Ben, Rueckert, Daniel

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Human brain mapping: A systematic comparison of parcellation methods for the human cerebral cortex von Arslan, Salim, Ktena, Sofia Ira, Makropoulos, Antonios, Robinson, Emma C., Rueckert, Daniel, Parisot, Sarah

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Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation von Oktay, Ozan, Ferrante, Enzo, Kamnitsas, Konstantinos, Heinrich, Mattias, Wenjia Bai, Caballero, Jose, Cook, Stuart A., de Marvao, Antonio, Dawes, Timothy, O'Regan, Declan P., Kainz, Bernhard, Glocker, Ben, Rueckert, Daniel

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Medical imaging deep learning with differential privacy von Ziller, Alexander, Usynin, Dmitrii, Braren, Rickmer, Makowski, Marcus, Rueckert, Daniel, Kaissis, Georgios

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A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction von Niethammer, Marc

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Dictionary Learning and Time Sparsity for Dynamic MR Data Reconstruction von Caballero, Jose, Price, Anthony N., Rueckert, Daniel, Hajnal, Joseph V.

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DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks von Rajchl, Martin, Lee, Matthew C. H., Oktay, Ozan, Kamnitsas, Konstantinos, Passerat-Palmbach, Jonathan, Bai, Wenjia, Damodaram, Mellisa, Rutherford, Mary A., Hajnal, Joseph V., Kainz, Bernhard, Rueckert, Daniel

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Structural brain imaging in Alzheimer’s disease and mild cognitive impairment: biomarker analysis and shared morphometry database von Ledig, Christian, Schuh, Andreas, Guerrero, Ricardo, Heckemann, Rolf A., Rueckert, Daniel

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AI-Based Reconstruction for Fast MRI-A Systematic Review and Meta-Analysis von Chen, Yutong, Schonlieb, Carola-Bibiane, Lio, Pietro, Leiner, Tim, Dragotti, Pier Luigi, Wang, Ge, Rueckert, Daniel, Firmin, David, Yang, Guang

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Random forest-based similarity measures for multi-modal classification of Alzheimer's disease von Gray, Katherine R., Aljabar, Paul, Heckemann, Rolf A., Hammers, Alexander, Rueckert, Daniel

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Machine learning in cardiovascular magnetic resonance: basic concepts and applications von Leiner, Tim, Rueckert, Daniel, Suinesiaputra, Avan, Baeßler, Bettina, Nezafat, Reza, Išgum, Ivana, Young, Alistair A

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Global Burden of Small Vessel Disease–Related Brain Changes on MRI Predicts Cognitive and Functional Decline von Jokinen, Hanna, Koikkalainen, Juha, Laakso, Hanna M., Melkas, Susanna, Nieminen, Tuomas, Brander, Antti, Korvenoja, Antti, Rueckert, Daniel, Barkhof, Frederik, Scheltens, Philip, Schmidt, Reinhold, Fazekas, Franz, Madureira, Sofia, Verdelho, Ana, Wallin, Anders, Wahlund, Lars-Olof, Waldemar, Gunhild, Chabriat, Hugues, Hennerici, Michael, O’Brien, John, Inzitari, Domenico, Lötjönen, Jyrki, Pantoni, Leonardo, Erkinjuntti, Timo

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Rich-club organization of the newborn human brain von Ball, Gareth, Aljabar, Paul, Zebari, Sally, Tusor, Nora, Arichi, Tomoki, Merchant, Nazakat, Robinson, Emma C., Ogundipe, Enitan, Rueckert, Daniel, Edwards, A. David, Counsell, Serena J.

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Semi-supervised Learning for Network-Based Cardiac MR Image Segmentation von Bai, Wenjia, Oktay, Ozan, Sinclair, Matthew, Suzuki, Hideaki, Rajchl, Martin, Tarroni, Giacomo, Glocker, Ben, King, Andrew, Matthews, Paul M., Rueckert, Daniel

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