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Showing results 1-50 of 155
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2023
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Dagenborg, Håvard Johansen. Data Collection, Privacy, and Data Security . Modern Technologies and Self-Determination Workshop; 2023-10-10 - 2023-10-10 UiT
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Elgazazz, Areeg Samir Ahmed; Al-Wosabi, Abdo; Khan, Mohsin; Dagenborg, Håvard Johansen. A Multi-pronged Self-adaptive Controller for Analyzing Misconfigurations for Kubernetes Clusters and IoT Edge Devices. 10th European Conference On Service-Oriented And Cloud Computing (ESOCC 2023); 2023-10-24 - 2023-10-25 UiT
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Elgazazz, Areeg Samir Ahmed; Dagenborg, Håvard. A Self-Configuration Controller To Detect, Identify, and Recover Misconfiguration At IoT Edge Devices and Containerized Cluster System. ICISSP 2023 ;Volume 1. UiT
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Elgazazz, Areeg Samir Ahmed; Dagenborg, Håvard Johansen. A Self-Configuration and Healing Controller To Analyze Misconfigurations of Clusters and IoT Edge Devices. 10th ACM Celebration of Women in Computing womENcourage; 2023-09-20 - 2023-09-22 UiT
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Elgazazz, Areeg Samir Ahmed; Dagenborg, Håvard Johansen. Adaptive Controller to Identify Misconfigurations and Optimize the Performance of Kubernetes Clusters and IoT Edge Devices. 10th European Conference On Service-Oriented And Cloud Computing (ESOCC 2023); 2023-10-24 - 2023-10-26 UiT
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Elgazazz, Areeg Samir Ahmed; Dagenborg, Håvard Johansen. Self-Healing Misconfiguration of Cloud-Based IoT Systems Using Markov Decision Processes. Proceedings of the 13th International Conference on Cloud Computing and Services Science (CLOSER 2023 2023 p. 224-252 UiT
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Kutschera, Stefan; Slany, Wolfgang; Ratschiller, Patrick; Gursch, Sarina; Dagenborg, Håvard. MRNG: Accessing Cosmic Radiation as an Entropy Source for a Non-Deterministic Random Number Generator. Entropy 2023 ;Volume 25.(6) UiT
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Nordmo, Tor-Arne Schmidt; Ovesen, Aril Bernhard; Dagenborg, Håvard; Halvorsen, Pål; Riegler, Michael Alexander; Johansen, Dag. Fishing Trawler Event Detection: An Important Step Towards Digitization of Sustainable Fishing. I: 2023 3rd International Conference on Applied Artificial Intelligence (ICAPAI). IEEE conference proceedings 2023 ISBN 9798350328929. OSLOMET UiT
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Nordmo, Tor-Arne Schmidt; Riegler, Michael; Dagenborg, Håvard Johansen; Johansen, Dag. Arctic HARE: A Machine Learning-Based System for Performance Analysis of Cross-Country Skiers. I: MultiMedia Modeling : 29th International conference, MMM 2023, Bergen, Norway, January 9-12, 2023, Proceedings, Part II. Springer 2023 ISBN 978-3-031-27077-2. p. 553-564 UiO UiT
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Sharma, Aakash; Czerwinska, Katja Pauline; Johansen, Dag; Dagenborg, Håvard. Capturing Nutrition Data for Sports: Challenges and Ethical Issues. 29TH INTERNATIONAL CONFERENCE ON MULTIMEDIA MODELING; 2023-01-09 - 2023-01-13 HVO UiT
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Sharma, Aakash; Czerwinska, Katja Pauline; Johansen, Dag; Dagenborg, Håvard Johansen. Capturing Nutrition Data for Sports: Challenges and Ethical Issues. I: MultiMedia Modeling : 29th International conference, MMM 2023, Bergen, Norway, January 9-12, 2023, Proceedings, Part II. Springer 2023 ISBN 978-3-031-27077-2. p. 601-612 HVO UiT
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2022
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Alslie, Joakim Aalstad; Ovesen, Aril Bernhard; Nordmo, Tor-Arne Schmidt; Johansen, Håvard D.; Halvorsen, Pål; Riegler, Michael; Johansen, Dag. Áika: A Distributed Edge System for AI Inference. Big Data and Cognitive Computing 2022 ;Volume 6.(2) p. - UiT OSLOMET
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Brenna, Lars; Singh, Isak Sunde; Johansen, Håvard D.; Johansen, Dag. TFHE-rs: A library for safe and secure remote computing using fully homomorphic encryption and trusted execution environments. Array 2022 ;Volume 13. UiT
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Elgazazz, Areeg Samir Ahmed; Dagenborg, Håvard Johansen. Managing Healthcare Information Flow Within Multi-Cluster System in Distributed Environment: Challenges, Opportunities and Future Directions. Proceedings of the 13th International Conference on Cloud Computing and Services Science (CLOSER 2023 2022 UiT
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Elgazazz, Areeg Samir Ahmed; Johansen, Håvard D.. Technical Viewpoint of Challenges, Opportunities, and Future Directions of Policy Change and Information-Flow in Digital Healthcare Systems. I: eTELEMED 2022, The Fourteenth International Conference on eHealth, Telemedicine, and Social Medicine. International Academy, Research and Industry Association (IARIA) 2022 ISBN 978-1-61208-984-3. UiT
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Jha, Debesh; Rauniyar, Ashish; Johansen, Håvard D.; Johansen, Dag; Riegler, Michael Alexander; Halvorsen, Pål; Bagci, Ulas. Video Analytics in Elite Soccer: A Distributed Computing Perspective. Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop 2022 p. 221-225 UiT SINTEF OSLOMET
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Johansen, Dag; Johansen, Håvard D.; Riegler, Michael. Muligheter og skranker for bruk av teknologi og kunstig intelligens ved forebygging av fiskerikriminalitet. Blå krim dialogforum; 2022-04-08 - 2022-04-08 UiT
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Johansen, Håvard D.; Johansen, Dag; Juliussen, Bjørn Aslak; Nordmo, Tor-Arne Schmidt; Ovesen, Aril Bernhard; Halvorsen, Pål; Riegler, Michael Alexander; Rui, Jon Petter. Sustainable commercial fishing: Digital inspectors to the rescue. Arctic Frontiers; 2022-05-08 - 2022-05-11 UiO OSLOMET UiB UiT
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Johansen, Dag; Juliussen, Bjørn Aslak; Nordmo, Tor-Arne Schmidt; Ovesen, Aril Bernhard; Halvorsen, Pål; Johansen, Håvard D.; Riegler, Michael Alexander; Rui, Jon Petter. Sustainable commercial fishing: Digital inspectors to the rescue. Arctic Frontiers : Abstracts 2022 UiO OSLOMET UiB UiT
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Johansen, Håvard D.; Johansen, Dag; Elgazazz, Areeg Samir Ahmed; Bye Nilsen, Thomas; Sharma, Aakash. Datainnsamling med personvern og datasikkerhet. BiN-Tek Seminar; 2022-11-23 - 2022-11-24 UiT
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Tedeschi, Enrico; Nordmo, Tor-Arne Schmidt; Johansen, Dag; Johansen, Håvard D.. On Optimizing Transaction Fees in Bitcoin using AI: Investigation on Miners Inclusion Pattern. ACM Transactions on Internet Technology 2022 ;Volume 22.(3) p. 1-28 UiT
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Nordmo, Tor-Arne Schmidt; Kvalsvik, Ove; Kvalsund, Svein Ove; Hansen, Birte; Halvorsen, Pål; Hicks, Steven; Johansen, Dag; Dagenborg, Håvard; Riegler, Michael Alexander. FishAI: Sustainable Commercial Fishing Challenge. Nordic Machine Intelligence (NMI) 2022 p. - OSLOMET UiT
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Nordmo, Tor-Arne Schmidt; Kvalsvik, Ove; Kvalsund, Svein Ove; Hansen, Birte; Halvorsen, Pål; Hicks, Steven; Johansen, Dag; Johansen, Håvard D.; Riegler, Michael Alexander. FishAI: Sustainable Commercial Fishing Challenge. Nordic Machine Intelligence (NMI) 2022 ;Volume 2.(2) p. - UiT
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Nordmo, Tor-Arne Schmidt; Ovesen, Aril Bernhard; Juliussen, Bjørn Aslak; Hicks, Steven A.; Thambawita, Vajira; Johansen, Håvard D.; Halvorsen, Pål; Riegler, Michael; Johansen, Dag. Njord: A Fishing Trawler Dataset. MMsys 2022; 2022-06-14 - 2022-06-17 UiO UiT
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Nordmo, Tor-Arne Schmidt; Ovesen, Aril Bernhard; Juliussen, Bjørn Aslak; Hicks, Steven A.; Thambawita, Vajira; Johansen, Håvard D.; Halvorsen, Pål; Riegler, Michael; Johansen, Dag. Njord: A Fishing Trawler Dataset. MMsys 2022; 2022-06-14 - 2022-06-17 UiT UiO
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Nordmo, Tor-Arne Schmidt; Ovesen, Aril Bernhard; Juliussen, Bjørn Aslak; Hicks, Steven; Thambawita, Vajira L B; Johansen, Håvard D.; Halvorsen, Pål; Riegler, Michael Alexander; Johansen, Dag. Njord: a fishing trawler dataset. I: MMSys '22: Proceedings of the 13th ACM Multimedia Systems Conference. ACM Publications 2022 ISBN 978-1-4503-9283-9. p. - UiT
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Randine, Pietro; Sharma, Aakash; Hartvigsen, Gunnar; Johansen, Håvard D.; Årsand, Eirik. Information and communication technology-based interventions for chronic diseases consultation: Scoping review. International Journal of Medical Informatics 2022 ;Volume 163. UIA UiT
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28. |
Riegler, Michael Alexander; Johansen, Dag; Juliussen, Bjørn Aslak; Nordmo, Tor-Arne Schmidt; Ovesen, Aril Bernhard; Halvorsen, Pål; Johansen, Håvard D.; Rui, Jon Petter. Njord: An out-in-the-wild real world fish vessel catch analysis dataset. Arctic Frontiers; 2022-05-08 - 2022-05-11 UiT UiO OSLOMET UiB
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29. |
Riegler, Michael Alexander; Johansen, Dag; Juliussen, Bjørn Aslak; Nordmo, Tor-Arne Schmidt; Ovesen, Aril Bernhard; Halvorsen, Pål; Johansen, Håvard D.; Rui, Jon Petter. Njord: An out-in-the-wild real world fish vessel catch analysis dataset. Arctic Frontiers : Abstracts 2022 UiO OSLOMET UiB UiT
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Sharma, Aakash; Bye Nilsen, Thomas; Johansen, Sivert; Johansen, Dag; Johansen, Håvard D.. Designing a Service for Compliant Sharing of Sensitive Research Data. Lecture Notes in Computer Science (LNCS) 2022 UiT
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Tomar, Nikhil Kumar; Jha, Debesh; Riegler, Michael; Johansen, Håvard D.; Johansen, Dag; Rittscher, Jens; Halvorsen, Pål; Ali, Sharib. FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation. IEEE Transactions on Neural Networks and Learning Systems 2022 ;Volume 34.(11) p. 9375-9388 UiT OSLOMET
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2021
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Jha, Debesh; Ali, Sharib; Emanuelsen, Krister; Hicks, Steven; Thambawita, Vajira L B; Garcia-Ceja, Enrique; Riegler, Michael A.; Lange, Thomas de; Schmidt, Peter T; Johansen, Håvard D.; Johansen, Dag Ove; Halvorsen, Pål. Kvasir-Instrument: Diagnostic and Therapeutic Tool Segmentation Dataset in Gastrointestinal Endoscopy. International Conference on Multimedia Modeling; 2021-06-22 - 2021-06-24 OSLOMET SINTEF UiO UiT
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Jha, Debesh; Ali, Sharib; Emanuelsen, Krister; Hicks, Steven; Thambawita, Vajira L B; Garcia-Ceja, Enrique; Riegler, Michael; de Lange, Thomas; Schmidt, Peter T; Johansen, Håvard D.; Johansen, Dag; Halvorsen, Pål. Kvasir-Instrument: Diagnostic and Therapeutic Tool Segmentation Dataset in Gastrointestinal Endoscopy. I: MultiMedia Modeling: 27th International Conference, MMM 2021, Prague, Czech Republic, June 22–24, 2021, Proceedings, Part II. Springer 2021 ISBN 978-3-030-67834-0. p. 218-229 OSLOMET SINTEF UiT
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Jha, Debesh; Ali, Sharib; Hicks, Steven; Thambawita, Vajira L B; Borgli, Hanna; Smedsrud, Pia; de Lange, Thomas; Pogorelov, Konstantin; Wang, Xiaowei; Harzig, Philipp; Tran, Minh-Triet; Meng, Wenhua; Hoang, Trung-Hieu; Dias, Danielle; Ko, Tobey H.; Agrawal, Taruna; Ostroukhova, Olga; Khan, Zeshan; Tahir, Muhammed Atif; Liu, Yang; Chang, Yuan; Kirkerød, Mathias; Johansen, Dag; Lux, Mathias; Johansen, Håvard D.; Riegler, Michael; Halvorsen, Pål. A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging. Medical Image Analysis 2021 ;Volume 70. p. - UiT OSLOMET UiO VV
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Jha, Debesh; Ali, Sharib; Tomar, Nikhil Kumar; Johansen, Håvard D.; Johansen, Dag; Riegler, Michael; Halvorsen, Pål. Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy. 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI); 2021-07-27 - 2021-08-30 UiO UiT
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Jha, Debesh; Ali, Sharib; Tomar, Nikhil Kumar; Johansen, Håvard D.; Johansen, Dag; Rittscher, Jens; Riegler, Michael; Halvorsen, Pål. Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning. IEEE Access 2021 ;Volume 9. p. 40496-40510 OSLOMET UiT
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Jha, Debesh; Ali, Sharib; Tomar, Nikhil Kumar; Riegler, Michael Alexander; Johansen, Dag; Johansen, Håvard D.; Halvorsen, Pål. Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy. I: 2021 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI). IEEE 2021 ISBN 9781665403580. p. - UiT OSLOMET
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Jha, Debesh; Smedsrud, Pia; Johansen, Dag; de Lange, Thomas; Johansen, Håvard D.; Halvorsen, Pål; Riegler, Michael Alexander. A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation. IEEE journal of biomedical and health informatics 2021 UiO OSLOMET VV UiT
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Jha, Debesh; Tomar, Nikhil Kumar; Ali, Sharib; Riegler, Michael A.; Johansen, Håvard D.; Lange, Thomas de; Halvorsen, Pål. NanoNet: Real-Time Polyp Segmentation in VideoCapsule Endoscopy and Colonoscopy. 34th International Symposium on Computer-Based Medical Systems; 2021-06-07 - 2021-06-09 UiO UiT
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Jha, Debesh; Yazidi, Anis; Riegler, Michael Alexander; Johansen, Dag; Johansen, Håvard D.; Halvorsen, Pål. LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification. I: Parallel and Distributed Computing, Applications and Technologies: 21st International Conference, PDCAT 2020, Shenzhen, China, December 28–30, 2020, Proceedings. Springer Nature 2021 ISBN 9783030692445. UiT OSLOMET
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Nordmo, Tor-Arne Schmidt; Ovesen, Aril Bernhard; Johansen, Håvard D.; Riegler, Michael Alexander; Halvorsen, Pål; Johansen, Dag. Dutkat: A Multimedia System for Catching Illegal Catchers in a Privacy-Preserving Manner. I: ICDAR '21: Proceedings of the 2021 Workshop on Intelligent Cross-Data Analysis and Retrieval. ACM Digital Library 2021 ISBN 978-1-4503-8529-9. p. 57-61 UiT OSLOMET
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Ovesen, Aril Bernhard; Nordmo, Tor-Arne Schmidt; Johansen, Håvard D.; Riegler, Michael Alexander; Halvorsen, Pål; Johansen, Dag. File system support for privacy-preserving analysis and forensics in low-bandwidth edge environments. Information 2021 ;Volume 12.(10) p. 1-19 UiT OSLOMET
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Sharma, Aakash; Bye Nilsen, Thomas; Brenna, Lars; Johansen, Dag; Johansen, Håvard D.. Accountable Human Subject Research Data Processing using Lohpi. International Conference on Information-communication technologies enhanced Social Sciences and Humanities (ICTeSSH); 2021-06-28 - 2021-06-30 UiT
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Sharma, Aakash; Bye Nilsen, Thomas; Johansen, Håvard D.. Compliant Sharing of Sensitive Data with Dataverse and Lohpi. Dataverse Community Meeting 2021; 2021-06-14 - 2021-06-17 UiT
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Sharma, Aakash; Nilsen, Thomas Bye; Czerwinska, Katja Pauline; Onitiu, Daria; Brenna, Lars; Johansen, Dag; Johansen, Håvard D.. Up-to-the-Minute Privacy Policies via Gossips in Participatory Epidemiological Studies. Frontiers in Big Data 2021 ;Volume 4. p. - UiT
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Srivastava, Abhishek; Jha, Debesh; Chanda, Sukalpa; Pal, Umapada; Johansen, Håvard D.; Johansen, Dag; Riegler, Michael; Ali, Sharib; Halvorsen, Pål. MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation. IEEE journal of biomedical and health informatics 2021 ;Volume 26.(5) p. 2252-2263 UiT OSLOMET HIOF
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Thambawita, Vajira L B; Hicks, Steven; Isaksen, Jonas L; Stensen, Mette H.; Haugen, Trine B.; Kanters, Jørgen K; Parasa, Sravanthi; Lange, Thomas de; Johansen, Håvard D.; Johansen, Dag; Hammer, Hugo Lewi; Halvorsen, Pål; Riegler, Michael. DeepSynthBody: the beginning of the end for data deficiency in medicine. I: Proceedings of the International Conference on Applied Artificial Intelligence (ICAPAI) 2021. IEEE conference proceedings 2021 ISBN 978-1-7281-5934-8. p. 1-8 VV UiT OSLOMET
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Tomar, Nikhil Kumar; Jha, Debesh; Ali, Sharib; Johansen, Håvard D.; Johansen, Dag; Riegler, Michael; Halvorsen, Pål. DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation. ICPR 2021: Pattern Recognition. ICPR International Workshops and Challenges; 2021-01-10 - 2021-01-15 OSLOMET UiT
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Tomar, Nikhil Kumar; Jha, Debesh; Ali, Sharib; Johansen, Håvard D.; Johansen, Dag; Riegler, Michael; Halvorsen, Pål. DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation. I: Pattern Recognition. ICPR International Workshops and Challenges. Springer Nature 2021 ISBN 978-3-030-68793-9. p. 307-314 OSLOMET UiT
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2020
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Jha, Debesh; Hicks, Steven; Emanuelsen, Krister; Johansen, Håvard D.; Johansen, Dag; de Lange, Thomas; Riegler, Michael; Halvorsen, Pål. Medico Multimedia Task at MediaEval 2020: Automatic Polyp Segmentation. I: Working Notes Proceedings of the MediaEval 2020 Workshop. http://ceur-ws.org/Vol-2882/: CEUR 2020 ISBN 0000000000000. OSLOMET UiO UiT
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