Elimination of the Autopsy Requirement by CMS von Rueckert, Justin

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McStrike! Framing, (Political) Opportunity and the Development of a Collective Identity: McDonald’s and the UK Fast-Food Rights Campaign von Royle, Tony, Rueckert, Yvonne

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Natural killer cell specificity for viral infections von Hammer, Quirin, Rückert, Timo, Romagnani, Chiara

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Characterization of bipolar disorder patient-specific induced pluripotent stem cells from a family reveals neurodevelopmental and mRNA expression abnormalities von Madison, J M, Zhou, F, Nigam, A, Hussain, A, Barker, D D, Nehme, R, van der Ven, K, Hsu, J, Wolf, P, Fleishman, M, O'Dushlaine, C, Rose, S, Chambert, K, Lau, F H, Ahfeldt, T, Rueckert, E H, Sheridan, S D, Fass, D M, Nemesh, J, Mullen, T E, Daheron, L, McCarroll, S, Sklar, P, Perlis, R H, Haggarty, S J

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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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The Global Unions and global governance: Analysing the dialogue between the international trade union organizations and the international financial institutions von Rueckert, Yvonne

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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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Methods and datasets for segmentation of minimally invasive surgical instruments in endoscopic images and videos: A review of the state of the art von Rueckert, Tobias, Rueckert, Daniel, Palm, Christoph

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Editorial: Navigating Transformation: Policy Shifts, Student Support, and the Future of Higher Education in Australia and New Zealand von Caroline Rueckert

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Spontaneous Splenic Vein Tear: A Rare Cause of Death in Cirrhotic Patients von Ashraf, Adeel, Rueckert, Justin

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Corrigendum to “Methods and datasets for segmentation of minimally invasive surgical instruments in endoscopic images and videos: A review of the state of the art” [Comput. Biol. M... von Rueckert, Tobias, Rueckert, Daniel, Palm, Christoph

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Editorial for JANZSSA Volume 32 Issue 1: Staying With the Trouble in a Post-Accord Environment von Caroline Rueckert

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

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Editorial for JANZSSA Volume 31 Issue 2 von Caroline Rueckert

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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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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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