Daniel Rueckert, Ph.D.

Affiliations: 
2008 Indiana State University, Evansville, IN, United States 
Area:
Bilingual and Multicultural Education, Adult and Continuing Education, Hispanic American Studies
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"Daniel Rueckert"

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Susan Kiger grad student 2008 Indiana State University
 (A qualitative study of the language learning experiences of Latin born professional baseball players.)
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Publications

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de Marvao A, McGurk KA, Zheng SL, et al. (2021) Phenotypic Expression and Outcomes in Individuals With Rare Genetic Variants of Hypertrophic Cardiomyopathy. Journal of the American College of Cardiology. 78: 1097-1110
Jia X, Thorley A, Chen W, et al. (2021) Learning a Model-Driven Variational Network for Deformable Image Registration. Ieee Transactions On Medical Imaging
Dimitrova R, Pietsch M, Ciarrusta J, et al. (2021) Preterm birth alters the development of cortical microstructure and morphology at term-equivalent age. Neuroimage. 118488
Knolle M, Kaissis G, Jungmann F, et al. (2021) Efficient, high-performance semantic segmentation using multi-scale feature extraction. Plos One. 16: e0255397
Carney O, Hughes E, Tusor N, et al. (2021) Incidental findings on brain MR imaging of asymptomatic term neonates in the Developing Human Connectome Project. Eclinicalmedicine. 38: 100984
Qin C, Duan J, Hammernik K, et al. (2021) Complementary time-frequency domain networks for dynamic parallel MR image reconstruction. Magnetic Resonance in Medicine
Eyre M, Fitzgibbon SP, Ciarrusta J, et al. (2021) Erratum to: The Developing Human Connectome Project: typical and disrupted perinatal functional connectivity. Brain : a Journal of Neurology
Ziller A, Usynin D, Braren R, et al. (2021) Medical imaging deep learning with differential privacy. Scientific Reports. 11: 13524
Hammernik K, Schlemper J, Qin C, et al. (2021) Systematic evaluation of iterative deep neural networks for fast parallel MRI reconstruction with sensitivity-weighted coil combination. Magnetic Resonance in Medicine
Makowski MR, Bressem KK, Franz L, et al. (2021) De Novo Radiomics Approach Using Image Augmentation and Features From T1 Mapping to Predict Gleason Scores in Prostate Cancer. Investigative Radiology
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