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	1.	Calibration-free beam hardening reduction in x-ray CBCT using the epipolar consistency condition and physical constraints. [electronic resource] by Würfl, Tobias Hoffmann, Mathis Aichert, André Maier, Andreas K Maaß, Nicole Dennerlein, Frank Producer: 20200414 In: Medical physics vol. 46 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	2.	Projection-to-Projection Translation for Hybrid X-ray and Magnetic Resonance Imaging. [electronic resource] by Stimpel, Bernhard Syben, Christopher Würfl, Tobias Breininger, Katharina Hoelter, Philip Dörfler, Arnd Maier, Andreas Producer: 20200526 In: Scientific reports vol. 9 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	3.	Deep Learning for Magnetic Resonance Fingerprinting: A New Approach for Predicting Quantitative Parameter Values from Time Series. [electronic resource] by Hoppe, Elisabeth Körzdörfer, Gregor Würfl, Tobias Wetzl, Jens Lugauer, Felix Pfeuffer, Josef Maier, Andreas Producer: 20180423 In: Studies in health technology and informatics vol. 243 Availability: No items available. Save to lists Add to cart (remove)
	4.	Optimizing R with SparkR on a commodity cluster for biomedical research. [electronic resource] by Sedlmayr, Martin Würfl, Tobias Maier, Christian Häberle, Lothar Fasching, Peter Prokosch, Hans-Ulrich Christoph, Jan Producer: 20170411 In: Computer methods and programs in biomedicine vol. 137 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	5.	Deep Learning Computed Tomography: Learning Projection-Domain Weights From Image Domain in Limited Angle Problems. [electronic resource] by Wurfl, Tobias Hoffmann, Mathis Christlein, Vincent Breininger, Katharina Huang, Yixin Unberath, Mathias Maier, Andreas K Producer: 20190520 In: IEEE transactions on medical imaging vol. 37 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	6.	Learning with Known Operators reduces Maximum Training Error Bounds. [electronic resource] by Maier, Andreas K Syben, Christopher Stimpel, Bernhard Würfl, Tobias Hoffmann, Mathis Schebesch, Frank Fu, Weilin Mill, Leonid Kling, Lasse Christiansen, Silke Publication details: Nature machine intelligence Aug 2019 In: Nature machine intelligence vol. 1 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)