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Artificial Intelligence in Dry Eye Disease


Sep 02, 2021
Andrea M. StorĂ„s, Inga StrĂŒmke, Michael A. Riegler, Jakob Grauslund, Hugo L. Hammer, Anis Yazidi, PĂ„l Halvorsen, Kjell G. Gundersen, Tor P. Utheim, Catherine Jackson


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Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy


Aug 03, 2021
Debesh Jha, Sharib Ali, Nikhil Kumar Tomar, Michael A. Riegler, Dag Johansen, HĂ„vard D. Johansen, PĂ„l Halvorsen

* BHI 2021 

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A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation


Jul 26, 2021
Debesh Jha, Pia H. Smedsrud, Dag Johansen, Thomas de Lange, HĂ„vard D. Johansen, PĂ„l Halvorsen, Michael A. Riegler

* Accepted at IEEE Journal of BioMedical and Health Informatics 

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DivergentNets: Medical Image Segmentation by Network Ensemble


Jul 01, 2021
Vajira Thambawita, Steven A. Hicks, PĂ„l Halvorsen, Michael A. Riegler

* Proceedings of the 3rd International Workshop and Challenge on Computer Vision in Endoscopy (EndoCV 2021) colocated with with the 17th IEEE International Symposium on Biomedical Imaging (ISBI 2021) 
* the winning model of the segmentation generalization challenge at EndoCV 2021 

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SinGAN-Seg: Synthetic Training Data Generation for Medical Image Segmentation


Jun 29, 2021
Vajira Thambawita, Pegah Salehi, Sajad Amouei Sheshkal, Steven A. Hicks, Hugo L. Hammer, Sravanthi Parasa, Thomas de Lange, PĂ„l Halvorsen, Michael A. Riegler


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PolypGen: A multi-center polyp detection and segmentation dataset for generalisability assessment


Jun 08, 2021
Sharib Ali, Debesh Jha, Noha Ghatwary, Stefano Realdon, Renato Cannizzaro, Osama E. Salem, Dominique Lamarque, Christian Daul, Kim V. Anonsen, Michael A. Riegler, PĂ„l Halvorsen, Jens Rittscher, Thomas de Lange, James E. East

* 14 pages 

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Few-shot segmentation of medical images based on meta-learning with implicit gradients


Jun 06, 2021
Rabindra Khadga, Debesh Jha, Sharib Ali, Steven Hicks, Vajira Thambawita, Michael A. Riegler, PĂ„l Halvorsen


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MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation


May 16, 2021
Abhishek Srivastava, Debesh Jha, Sukalpa Chanda, Umapada Pal, HĂ„vard D. Johansen, Dag Johansen, Michael A. Riegler, Sharib Ali, PĂ„l Halvorsen


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NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy


Apr 22, 2021
Debesh Jha, Nikhil Kumar Tomar, Sharib Ali, Michael A. Riegler, HĂ„vard D. Johansen, Dag Johansen, Thomas de Lange, PĂ„l Halvorsen

* Accepted at CBMS 2021 

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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, HĂ„vard D. Johansen, Dag Johansen, Jens Rittscher, PĂ„l 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, HĂ„vard D. Johansen, PĂ„l Halvorsen


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DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation


Dec 30, 2020
Nikhil Kumar Tomar, Debesh Jha, Sharib Ali, HĂ„vard D. Johansen, Dag Johansen, Michael A. Riegler, PĂ„l Halvorsen


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Medico Multimedia Task at MediaEval 2020: Automatic Polyp Segmentation


Dec 30, 2020
Debesh Jha, Steven A. Hicks, Krister Emanuelsen, HĂ„vard Johansen, Dag Johansen, Thomas de Lange, Michael A. Riegler, PĂ„l Halvorsen

* MediaEval 2020 

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


Dec 14, 2020
Vajira Thambawita, Steven Hicks, PĂ„l 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, HĂ„vard D. Johansen, Dag D. Johansen, Jens Rittscher, Michael A. Riegler, PĂ„l 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, PĂ„l Halvorsen, HĂ„vard 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, HĂ„vard D. Johansen, Dag Johansen, PĂ„l Halvorsen, Michael A. Riegler

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

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Efficient Quantile Tracking Using an Oracle


Apr 27, 2020
Hugo L. Hammer, Anis Yazidi, Michael A. Riegler, HĂ„vard 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 ArbelĂĄez, Gui-Bin Bian, Sebastian Bodenstedt, Jon Lindström Bolmgren, Laura Bravo-SĂĄnchez, Hua-Bin Chen, Cristina GonzĂĄlez, Dong Guo, PĂ„l 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. MĂŒller-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, PĂ„l Halvorsen, Thomas de Lange, Dag Johansen, HĂ„vard D. Johansen

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

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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

* 7 pages, 3 figures, 21st IEEE International Symposium on Multimedia 

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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, PĂ„ll Halvorsen, Hugo L. Hammer, Trine B. Haugen, Michael A. Riegler

* Preprint, accepted by Nature Scientific Reports for publication 24.10.2019 

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