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FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation


Mar 31, 2021
Nikhil Kumar Tomar, Debesh Jha, Michael A. Riegler, Håvard D. Johansen, Dag Johansen, Jens Rittscher, Pål Halvorsen, Sharib Ali


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LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification


Jan 06, 2021
Debesh Jha, Anis Yazidi, Michael A. Riegler, Dag Johansen, Håvard D. Johansen, Pål Halvorsen


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DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation


Dec 30, 2020
Nikhil Kumar Tomar, Debesh Jha, Sharib Ali, Håvard D. Johansen, Dag Johansen, Michael A. Riegler, Pål Halvorsen


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Medico Multimedia Task at MediaEval 2020: Automatic Polyp Segmentation


Dec 30, 2020
Debesh Jha, Steven A. Hicks, Krister Emanuelsen, Håvard Johansen, Dag Johansen, Thomas de Lange, Michael A. Riegler, Pål Halvorsen

* MediaEval 2020 

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Pyramid-Focus-Augmentation: Medical Image Segmentation with Step-Wise Focus


Dec 14, 2020
Vajira Thambawita, Steven Hicks, Pål Halvorsen, Michael A. Riegler


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Real-Time Polyp Detection, Localisation and Segmentation in Colonoscopy Using Deep Learning


Nov 15, 2020
Debesh Jha, Sharib Ali, Håvard D. Johansen, Dag D. Johansen, Jens Rittscher, Michael A. Riegler, Pål Halvorsen


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


Jun 27, 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

* 30 pages, 12 figures, 8 tables, Accepted for ACM Transactions on Computing for Healthcare 

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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

* A pre-print 

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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

* 12 pages, 4 figures, 26TH INTERNATIONAL CONFERENCE ON MULTIMEDIA MODELING 

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Extracting temporal features into a spatial domain using autoencoders for sperm video analysis


Nov 08, 2019
Vajira Thambawita, Pål Halvorsen, Hugo Hammer, Michael Riegler, Trine B. Haugen

* 3 pages, 1 figure, MediaEval 19, 27-29 October 2019, Sophia Antipolis, France 

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Stacked dense optical flows and dropout layers to predict sperm motility and morphology


Nov 08, 2019
Vajira Thambawita, Pål Halvorsen, Hugo Hammer, Michael Riegler, Trine B. Haugen

* 3 pages, 2 figures, MediaEval 19, 27-29 October 2019, Sophia Antipolis, France 

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The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract using Global Features and Deep Learning


Oct 31, 2018
Vajira Thambawita, Debesh Jha, Michael Riegler, Pål Halvorsen, Hugo Lewi Hammer, Håvard D. Johansen, Dag Johansen

* MediaEval 2018 
* 2 pages + 1 page for references, 1 figure, Conference paper 

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