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    A recurrent neural network for particle tracking in microscopy images using future information, track hypotheses, and multiple detections by Spilger, Roman (Author) , Imle, Andrea (Author) , Lee, Ji Young (Author) , Müller, Barbara (Author) , Fackler, Oliver Till (Author) , Bartenschlager, Ralf (Author) , Rohr, Karl (Author) ,


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  2. 2

    Deep learning from multiple crowds: a case study of humanitarian mapping by Chen, Jiaoyan (Author) , Zipf, Alexander (Author) ,


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    Employing environmental data and machine learning to improve mobile health receptivity by Theilig, Max-Marcel (Author) , Korbel, Jakob J. (Author) , Mayer, Gwendolyn (Author) , Hoffmann, Christian (Author) , Zarnekow, Rüdiger (Author) ,


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    Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: is the problem solved? by Bernard, Olivier (Author) , Maier-Hein, Klaus H. (Author) , Wolf, Ivo (Author) ,


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    Error-correcting factorization by Bautista, Miguel (Author)


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    Model-based learning of local image features for unsupervised texture segmentation by Kiechle, Martin (Author) , Storath, Martin (Author) , Weinmann, Andreas (Author) , Kleinsteuber, Martin (Author) ,


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    Conditional random fields meet deep neural networks for semantic segmentation: combining probabilistic graphical models with deep learning for structured prediction by Arnab, Anurag (Author) , Zheng, Shuai (Author) , Jayasumana, Sadeep (Author) , Romera-Paredes, Bernardino (Author) , Larsson, Måns (Author) , Kirillov, Alexander (Author) , Savchynskyy, Bogdan (Author) , Rother, Carsten (Author) , Kahl, Fredrik (Author) , Torr, Philip H.S. (Author) ,


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    Deep unsupervised similarity learning using partially ordered sets by Bautista, Miguel (Author) , Sanakoyeu, Artsiom (Author) , Ommer, Björn (Author) ,


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    Software feature request detection in issue tracking systems by Merten, Thorsten (Author) , Hübner, Paul (Author) , Quirchmayr, Thomas (Author) , Paech, Barbara (Author) ,


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  11. 11

    Active structured learning for cell tracking: algorithm, framework, and usability by Lou, Xinghua (Author) , Schiegg, Martin (Author) , Hamprecht, Fred (Author) ,


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