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Michael A. Riegler

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DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation

Jun 08, 2020
Debesh Jha, Michael A. Riegler, Dag Johansen, Pål Halvorsen, Håvard D. Johansen

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An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning applied to Gastrointestinal Tract Abnormality Classification

May 08, 2020
Vajira Thambawita, Debesh Jha, Hugo Lewi Hammer, Håvard D. Johansen, Dag Johansen, Pål Halvorsen, Michael A. Riegler

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Efficient Quantile Tracking Using an Oracle

Apr 27, 2020
Hugo L. Hammer, Anis Yazidi, Michael A. Riegler, Håvard Rue

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Robust Medical Instrument Segmentation Challenge 2019

Mar 23, 2020
Tobias Ross, Annika Reinke, Peter M. Full, Martin Wagner, Hannes Kenngott, Martin Apitz, Hellena Hempe, Diana Mindroc Filimon, Patrick Scholz, Thuy Nuong Tran, Pierangela Bruno, Pablo Arbeláez, Gui-Bin Bian, Sebastian Bodenstedt, Jon Lindström Bolmgren, Laura Bravo-Sánchez, Hua-Bin Chen, Cristina González, Dong Guo, Pål Halvorsen, Pheng-Ann Heng, Enes Hosgor, Zeng-Guang Hou, Fabian Isensee, Debesh Jha, Tingting Jiang, Yueming Jin, Kadir Kirtac, Sabrina Kletz, Stefan Leger, Zhixuan Li, Klaus H. Maier-Hein, Zhen-Liang Ni, Michael A. Riegler, Klaus Schoeffmann, Ruohua Shi, Stefanie Speidel, Michael Stenzel, Isabell Twick, Gutai Wang, Jiacheng Wang, Liansheng Wang, Lu Wang, Yujie Zhang, Yan-Jie Zhou, Lei Zhu, Manuel Wiesenfarth, Annette Kopp-Schneider, Beat P. Müller-Stich, Lena Maier-Hein

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Kvasir-SEG: A Segmented Polyp Dataset

Nov 16, 2019
Debesh Jha, Pia H. Smedsrud, Michael A. Riegler, Pål Halvorsen, Thomas de Lange, Dag Johansen, Håvard D. Johansen

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ResUNet++: An Advanced Architecture for Medical Image Segmentation

Nov 16, 2019
Debesh Jha, Pia H. Smedsrud, Michael A. Riegler, Dag Johansen, Thomas de Lange, Pal Halvorsen, Havard D. Johansen

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Machine Learning-Based Analysis of Sperm Videos and Participant Data for Male Fertility Prediction

Oct 29, 2019
Steven A. Hicks, Jorunn M. Andersen, Oliwia Witczak, Vajira Thambawita, Påll Halvorsen, Hugo L. Hammer, Trine B. Haugen, Michael A. Riegler

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