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Filters: 1 is biblio_year:2021 and Author is Håvard D Johansen [Reset Search]
Filters: 1 is biblio_year:2021 and Author is Håvard D Johansen [Reset Search]
Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy In 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI). IEEE, 2021.
NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy In 34th IEEE CBMS International Symposium on Computer-Based Medical Systems. IEEE, 2021.
412100a037.pdf (789.29 KB)
"Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning." IEEE Access 9 (2021): 40496-40510.
09369308.pdf (2.6 MB)
DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation In CBMS 2020: International Symposium on Computer-Based Medical Systems. IEEE, 2020.
09183321_1.pdf (1.15 MB)
"An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning applied to Gastrointestinal Tract Abnormality Classification." ACM Transactions on Computing for Healthcare 1 (2020): 1-29.
3386295.pdf (8.11 MB)
Kvasir-instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy In International Conference on Multimedia Modeling. Springer, 2020.
Predicting Peek Readiness-to-Train of Soccer Players Using Long Short-Term Memory Recurrent Neural Networks In 2019 International Conference on Content-Based Multimedia Indexing (CBMI). IEEE, 2019.
cbmi2019-pmsys.pdf (1.88 MB)
ResUNet++: An Advanced Architecture for Medical Image Segmentation In 2019 IEEE International Symposium on Multimedia (ISM). San Diego, California, USA: IEEE, 2019.
resunet_accepted_debesh.pdf (1.01 MB)