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V. Thambawita, S. Hicks, J. Isaksen, M. H. Stensen, T. B. Haugen, J. Kanters, S. Parasa, T. de Lange, H. D. Johansen, D. Johansen et al.

DeepSynthBody: the beginning of the end for data deficiency in medicine

In The International Conference on Applied Artificial Intelligence (ICAPAI), 2021.
Proceedings, refereed
2021
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V. Thambawita, S. Hicks, P. Halvorsen and M. Riegler

DivergentNets: Medical Image Segmentation by Network Ensemble

In EndoCV, 2021.
Proceedings, refereed
2021
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V. Thambawita, S. Hicks, I. Strümke, M. Riegler, P. Halvorsen and S. Parasa

Impact of Image Resolution on Convolutional Neural Networks Performance in Gastrointestinal Endoscopy

In DDW, 2021.
Proceedings, refereed
2021
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V. Thambawita, I. Strümke, S. Hicks, M. Riegler, P. Halvorsen and S. Parasa

Generative Adversarial Networks For Creating Realistic Artificial Colon Polyp Images

In DDW, 2021.
Proceedings, refereed
2021
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19 April 2021

New tool and guide on evaluation metrics for medical applications of AI

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TimeIn: Traffic behaviour of interactive time-dependent thin streams on the modern Internet

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RITE: Reducing Internet Transport Latency

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Efficient EONS: Execution of Large Workloads on Elastic Heterogeneous Resources

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Unified PCIe IO: Unified PCI Express for Distributed Component Virtualization

Department of Holistic Systems

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Interview training of child-welfare and law-enforcement professionals interviewing maltreated children supported via artificial avatars

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2021

Journal articles

D. Jha, P. H. Smedsrud, D. Johansen, T. de Lange, H. D. Johansen, P. Halvorsen and M. Riegler

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

IEEE Journal of Biomedical and Health Informatics (2021).
Status: Published
D. Jha, S. Ali, N. K. Tomar, H. D. Johansen, D. Johansen, J. Rittscher, M. Riegler and P. Halvorsen

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

IEEE Access (2021).
Status: Published
D. Jha, S. Ali, S. Hicks, V. Thambawita, H. Borgli, P. H. Smedsrud, T. de Lange, K. Pogorelov, X. Wang, P. Harzig et al.

A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging

Medical Image Analysis (2021).
Status: Published

Proceedings, refereed

E. Garcia-Ceja, V. Thambawita, S. Hicks, D. Jha, P. Jakobsen, H. L. Hammer, P. Halvorsen and M. Riegler

HTAD: A Home-Tasks Activities Dataset with Wrist-accelerometer and Audio Features

In 27th International Conference on Multimedia Modeling. Springer, 2021.
Status: Published
D. Jha, S. Ali, K. Emanuelsen, S. Hicks, V. Thambawita, E. Garcia-Ceja, M. Riegler, T. de Lange, P. T. Schmidt, H. D. Johansen et al.

Kvasir-Instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy

In 27th International Conference on Multimedia Modeling. MMM 2021, 2021.
Status: Published
V. Thambawita, T. B. Haugen, M. Stensen, O. Witczak, H. L. Hammer, P. Halvorsen and M. Riegler

Identification of spermatozoa by unsupervised learning from video data

In ESHRE , 2021.
Status: Accepted
V. Thambawita, I. Strümke, S. Hicks, M. Riegler, P. Halvorsen and S. Parasa

Generative Adversarial Networks For Creating Realistic Artificial Colon Polyp Images

In DDW, 2021.
Status: Accepted
V. Thambawita, S. Hicks, I. Strümke, M. Riegler, P. Halvorsen and S. Parasa

Impact of Image Resolution on Convolutional Neural Networks Performance in Gastrointestinal Endoscopy

In DDW, 2021.
Status: Accepted
V. Thambawita, S. Hicks, P. Halvorsen and M. Riegler

DivergentNets: Medical Image Segmentation by Network Ensemble

In EndoCV, 2021.
Status: Accepted
V. Thambawita, S. Hicks, J. Isaksen, M. H. Stensen, T. B. Haugen, J. Kanters, S. Parasa, T. de Lange, H. D. Johansen, D. Johansen et al.

DeepSynthBody: the beginning of the end for data deficiency in medicine

In The International Conference on Applied Artificial Intelligence (ICAPAI), 2021.
Status: Accepted