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Exploiting the Full Capacity of Deep Neural Networks while Avoiding Overfitting by Targeted Sparsity Regularization Huesmann K, Klemm S, Linsen L, Risse B (2020) Other scientific publication \| Published
A video processing pipeline for intraoperative analysis of cerebral blood flow Klemm, S; Rexeisen, R; Stummer, W; Jiang, X; Holling, M (2020) In: Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, 8(4), 356-366. doi:10.1080/21681163.2018.1559771 Research article (journal) \| Peer reviewed \| Published
Visual ensemble analysis to study the influence of hyper-parameters on training deep neural networks Hamid S, Derstroff A, Klemm S, Ngo Q. Q., Jiang X, Linsen L (2019) In: Archambault, Daniel and Nabney, Ian and Peltonen, Jaakko (eds.), Machine Learning Methods in Visualisation for Big Data. Eurographics Association. doi:10.2312/mlvis.20191160 Research article in edited proceedings (conference) \| Peer reviewed \| Published
Deploying Deep Learning into practice: A case study on fundus segmentation Klemm S, Ortkemper RD, Jiang X (2019) In: (eds.), , 411-422. (kein Verlag angegeben). Research article in edited proceedings (conference) \| Peer reviewed \| Published
Barista - a graphical tool for designing and training deep neural networks Klemm S, Scherzinger A, Drees D, Jiang X (2018) Other scientific publication \| Published

Exploiting the Full Capacity of Deep Neural Networks while Avoiding Overfitting by Targeted Sparsity Regularization Huesmann K, Klemm S, Linsen L, Risse B (2020) Other scientific publication \| Published
A video processing pipeline for intraoperative analysis of cerebral blood flow Klemm, S; Rexeisen, R; Stummer, W; Jiang, X; Holling, M (2020) In: Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, 8(4), 356-366. doi:10.1080/21681163.2018.1559771 Research article (journal) \| Peer reviewed \| Published
Visual ensemble analysis to study the influence of hyper-parameters on training deep neural networks Hamid S, Derstroff A, Klemm S, Ngo Q. Q., Jiang X, Linsen L (2019) In: Archambault, Daniel and Nabney, Ian and Peltonen, Jaakko (eds.), Machine Learning Methods in Visualisation for Big Data. Eurographics Association. doi:10.2312/mlvis.20191160 Research article in edited proceedings (conference) \| Peer reviewed \| Published
Deploying Deep Learning into practice: A case study on fundus segmentation Klemm S, Ortkemper RD, Jiang X (2019) In: (eds.), , 411-422. (kein Verlag angegeben). Research article in edited proceedings (conference) \| Peer reviewed \| Published
Barista - a graphical tool for designing and training deep neural networks Klemm S, Scherzinger A, Drees D, Jiang X (2018) Other scientific publication \| Published