Papers : 96

  1. MediaEval 2023: Multimedia Benchmark Workshop 2023, Working Notes Proceedings of the MediaEval 2023 Workshop Amsterdam, The Netherlands and Online, 1-2 February 2024
    Hicks, S; Lommatzsch, A; Hürriyetoglu, A; Vuillemot, R; Constantin, MG; Thambawita, V; Larson, MA; MediaEval 2023: Multimedia Benchmark Workshop 2023, Working Notes Proceedings of the MediaEval 2023 Workshop Amsterdam, The Netherlands and Online, 1-2 February 2024 2024 Sl: CEUR
  2. SoccerNet-Echoes: A Soccer Game Audio Commentary Dataset
    Gautam, Sushant; Sarkhoosh, Mehdi Houshmand; Held, Jan; Midoglu, Cise; Cioppa, Anthony; Giancola, Silvio; Thambawita, Vajira; Riegler, Michael A; Halvorsen, Pål; Shah, Mubarak; SoccerNet-Echoes: A Soccer Game Audio Commentary Dataset arXiv preprint arXiv:2405.07354 2024
  3. Advancing Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications with ImageCLEF 2024
    Ionescu, Bogdan; Müller, Henning; Drăgulinescu, Ana Maria; Idrissi-Yaghir, Ahmad; Radzhabov, Ahmedkhan; Herrera, Alba Garcia Seco de; Andrei, Alexandra; Stan, Alexandru; Storås, Andrea M; Abacha, Asma Ben; Advancing Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications with ImageCLEF 2024 European Conference on Information Retrieval 44-52 2024 Springer Nature Switzerland Cham
  4. Advancing sleep detection by modelling weak label sets: A novel weakly supervised learning approach
    Boeker, Matthias; Thambawita, Vajira; Riegler, Michael; Halvorsen, Pål; Hammer, Hugo L; Advancing sleep detection by modelling weak label sets: A novel weakly supervised learning approach arXiv preprint arXiv:2402.17601 2024
  5. An Open-Access Dataset of Hospitalized Cardiac-Arrest Patients: Machine-Learning-Based Predictions Using Clinical Documentation
    Rajapaksha, Lahiru Theekshana Weerasinghe; Vidanagamachchi, Sugandima Mihirani; Gunawardena, Sampath; Thambawita, Vajira; An Open-Access Dataset of Hospitalized Cardiac-Arrest Patients: Machine-Learning-Based Predictions Using Clinical Documentation BioMedInformatics 4 1 34-49 2023 MDPI
  6. Working Notes Proceedings of the MediaEval 2022 Workshop
    Hicks, Steven; de Herrera, Alba García Seco; Langguth, Johannes; Lommatzsch, Andreas; Andreadis, Stelios; Dao, Minh-Son; Martin, Pierre-Etienne; Hürriyetoglu, Ali; Thambawita, Vajira; Nordmo, Tor-Arne S; Working Notes Proceedings of the MediaEval 2022 Workshop CEUR Workshop Proceedings 3583 2023
  7. Cellular, a cell autophagy imaging dataset
    Al Outa, Amani; Hicks, Steven; Thambawita, Vajira; Andresen, Siri; Enserink, Jorrit M; Halvorsen, Pål; Riegler, Michael A; Knævelsrud, Helene; Cellular, a cell autophagy imaging dataset Scientific data 10 1 806 2023 Nature Publishing Group UK London
  8. Overview of the ImageCLEF 2022: Multimedia retrieval in medical, social media and nature applications
    Ionescu, Bogdan; Müller, Henning; Péteri, Renaud; Rückert, Johannes; Abacha, Asma Ben; de Herrera, Alba G Seco; Friedrich, Christoph M; Bloch, Louise; Brüngel, Raphael; Idrissi-Yaghir, Ahmad; Overview of the ImageCLEF 2022: Multimedia retrieval in medical, social media and nature applications International Conference of the Cross-Language Evaluation Forum for European Languages 541-564 2022 Springer International Publishing Cham
  9. Overview of ImageCLEF 2023: Multimedia retrieval in medical, socialmedia and recommender systems applications
    Ionescu, Bogdan; Müller, Henning; Drăgulinescu, A; Yim, Wen-wai; Abacha, A Ben; Snider, Neal; Adams, Griffin; Yetisgen, Meliha; Rückert, Johannes; de Herrera, A García Seco; Overview of ImageCLEF 2023: Multimedia retrieval in medical, socialmedia and recommender systems applications Experimental IR Meets Multilinguality, Multimodality, and Interaction, Proceedings of the 14th International Conference of the CLEF Association (CLEF 2023), Springer Lecture Notes in Computer Science LNCS, Thessaloniki, Greece 2023
  10. Overview of imageclefmedical 2023–medical visual question answering for gastrointestinal tract
    Hicks, SA; Storås, Andrea; Halvorsen, Pål; de Lange, Thomas; Riegler, MA; Thambawita, Vajira; Overview of imageclefmedical 2023–medical visual question answering for gastrointestinal tract CLEF2023 Working Notes, CEUR Workshop Proceedings, CEUR-WS. org, Thessaloniki, Greece 2023
  11. An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges
    Jha, Debesh; Sharma, Vanshali; Banik, Debapriya; Bhattacharya, Debayan; Roy, Kaushiki; Hicks, Steven A; Tomar, Nikhil Kumar; Thambawita, Vajira; Krenzer, Adrian; Ji, Ge-Peng; An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges arXiv preprint arXiv:2307.16262 2023
  12. RePolyp: A Framework for Generating Realistic Colon Polyps with Corresponding Segmentation Masks using Diffusion Models
    Pishva, Alexander K; Thambawita, Vajira; Torresen, Jim; Hicks, Steven A; RePolyp: A Framework for Generating Realistic Colon Polyps with Corresponding Segmentation Masks using Diffusion Models 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS) 47-52 2023 IEEE
  13. Usefulness of Heat Map Explanations for Deep-Learning-Based Electrocardiogram Analysis
    Storås, Andrea M; Andersen, Ole Emil; Lockhart, Sam; Thielemann, Roman; Gnesin, Filip; Thambawita, Vajira; Hicks, Steven A; Kanters, Jørgen K; Strümke, Inga; Halvorsen, Pål; Usefulness of Heat Map Explanations for Deep-Learning-Based Electrocardiogram Analysis Diagnostics 13 14 2345 2023 MDPI
  14. On evaluation metrics for medical applications of artificial intelligence.
    Strümke, Inga; Thambawita, Vajira; Hammou, Malek; Halvorsen, Pål; Parasa, Sravanthi; On evaluation metrics for medical applications of artificial intelligence. Articles, Abstracts, and Reports 2022
  15. Mask-conditioned latent diffusion for generating gastrointestinal polyp images
    Macháček, Roman; Mozaffari, Leila; Sepasdar, Zahra; Parasa, Sravanthi; Halvorsen, Pål; Riegler, Michael A; Thambawita, Vajira; Mask-conditioned latent diffusion for generating gastrointestinal polyp images Proceedings of the 4th ACM Workshop on Intelligent Cross-Data Analysis and Retrieval 1-9 2023
  16. Multimedia datasets: challenges and future possibilities
    Nguyen, Thu; Storås, Andrea M; Thambawita, Vajira; Hicks, Steven A; Halvorsen, Pål; Riegler, Michael A; Multimedia datasets: challenges and future possibilities International Conference on Multimedia Modeling 711-717 2023 Springer Nature Switzerland Cham
  17. ImageCLEF 2023 Highlight: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications
    Ionescu, Bogdan; Müller, Henning; Drăgulinescu, Ana Maria; Popescu, Adrian; Idrissi-Yaghir, Ahmad; García Seco de Herrera, Alba; Andrei, Alexandra; Stan, Alexandru; Storås, Andrea M; Abacha, Asma Ben; ImageCLEF 2023 Highlight: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications European Conference on Information Retrieval 557-567 2023 Springer Nature Switzerland Cham
  18. ScopeSense: An 8.5-month sport, nutrition, and lifestyle lifelogging dataset
    Riegler, Michael A; Thambawita, Vajira; Chatterjee, Ayan; Nguyen, Thu; Hicks, Steven A; Telle-Hansen, Vibeke; Pettersen, Svein Arne; Johansen, Dag; Jain, Ramesh; Halvorsen, Pål; ScopeSense: An 8.5-month sport, nutrition, and lifestyle lifelogging dataset International Conference on Multimedia Modeling 502-514 2023 Springer International Publishing Cham
  19. GridHTM: Grid-Based Hierarchical Temporal Memory for Anomaly Detection in Videos
    Monakhov, Vladimir; Thambawita, Vajira; Halvorsen, Pål; Riegler, Michael A; GridHTM: Grid-Based Hierarchical Temporal Memory for Anomaly Detection in Videos Sensors 23 4 2087 2023 MDPI
  20. Automatic Unsupervised Clustering of Videos of the Intracytoplasmic Sperm Injection (ICSI) Procedure
    Storås, Andrea M; Riegler, Michael A; Haugen, Trine B; Thambawita, Vajira; Hicks, Steven A; Hammer, Hugo L; Kakulavarapu, Radhika; Halvorsen, Pål; Stensen, Mette H; Automatic Unsupervised Clustering of Videos of the Intracytoplasmic Sperm Injection (ICSI) Procedure Symposium of the Norwegian AI Society 111-121 2022 Springer International Publishing Cham
  21. Impact of image resolution on convolutional neural networks performance in gastrointestinal endoscopy
    Thambawita, Vajira L; Hicks, Steven; Strumke, Inga; Riegler, Michael A; Halvorsen, Pal; Parasa, Sravanthi; Impact of image resolution on convolutional neural networks performance in gastrointestinal endoscopy Gastroenterology 160 6 S377-S377 2021 WB SAUNDERS CO-ELSEVIER INC 1600 JOHN F KENNEDY BOULEVARD, STE 1800 …
  22. Medico multimedia task at mediaeval 2022: Transparent tracking of spermatozoa
    Thambawita, Vajira; Hicks, Steven; Storås, Andrea M; Andersen, Jorunn M; Witczak, Oliwia; Haugen, Trine B; Hammer, Hugo; Nguyen, Thu; Halvorsen, Pål; Riegler, Michael A; Medico multimedia task at mediaeval 2022: Transparent tracking of spermatozoa Proceedings of MediaEval 2022 CEUR Workshop 2022
  23. Biomedical image analysis competitions: The state of current participation practice
    Eisenmann, Matthias; Reinke, Annika; Weru, Vivienn; Tizabi, Minu Dietlinde; Isensee, Fabian; Adler, Tim J; Godau, Patrick; Cheplygina, Veronika; Kozubek, Michal; Ali, Sharib; Biomedical image analysis competitions: The state of current participation practice arXiv preprint arXiv:2212.08568 2022
  24. Poster Session 1Baseline filtering alleviates generalization issues for neural networks for electrocardiogram analysis
    Isaksen, Jonas L; Hicks, Steven A; Thambawita, Vajira; Mæland, Steffen; Graff, Claus; Ghouse, Jonas; Ahlberg, Gustav; Olesen, Morten Salling; Ellervik, Christina; von Holstein-Rathlou, Niels-Henrik; Poster Session 1Baseline filtering alleviates generalization issues for neural networks for electrocardiogram analysis Journal of Electrocardiology 73 15 2022 Churchill Livingstone
  25. VISEM-Tracking, a human spermatozoa tracking dataset
    Thambawita, Vajira; Hicks, Steven A; Storås, Andrea M; Nguyen, Thu; Andersen, Jorunn M; Witczak, Oliwia; Haugen, Trine B; Hammer, Hugo L; Halvorsen, Pål; Riegler, Michael A; VISEM-Tracking, a human spermatozoa tracking dataset Scientific Data 10 1 260 2023 Nature Publishing Group UK London
  26. MLC at HECKTOR 2022: The Effect and Importance of Training Data When Analyzing Cases of Head and Neck Tumors Using Machine Learning
    Thambawita, Vajira; Storås, Andrea M; Hicks, Steven A; Halvorsen, Pål; Riegler, Michael A; MLC at HECKTOR 2022: The Effect and Importance of Training Data When Analyzing Cases of Head and Neck Tumors Using Machine Learning 3D Head and Neck Tumor Segmentation in PET/CT Challenge 166-177 2022 Springer Nature Switzerland Cham
  27. Automatic Tracking of the ICSI procedure using Deep Learning
    Hicks, S; Thambawita, V; Storas, A; Haugen, TB; Hammer, HL; Halvorsen, P; Riegler, M; Stensen, MH; Automatic Tracking of the ICSI procedure using Deep Learning HUMAN REPRODUCTION 37 I320-I320 2022 OXFORD UNIV PRESS GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
  28. Real-time deep learning based multi object tracking of spermatozoa in fresh samples
    Thambawita, V; Hicks, SA; Storas, A; Witczak, O; Andersen, JM; Hammer, HL; Halvorsen, P; Riegler, MA; Haugen, TB; Real-time deep learning based multi object tracking of spermatozoa in fresh samples HUMAN REPRODUCTION 37 241-241 2022 OXFORD UNIV PRESS GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
  29. Automating tracking of cell division for human embryo development in time lapse videos
    Sharma, A; Kakulavarapu, R; Thambawita, V; Siddiqui, M; Delbarre, E; Riegler, M; Hammer, H; Stensen, M; Automating tracking of cell division for human embryo development in time lapse videos HUMAN REPRODUCTION 37 I305-I306 2022 OXFORD UNIV PRESS GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
  30. Reproducibility Companion Paper: Focusing on Persons: Colorizing Old Images Learning from Modern Historical Movies
    Jin, Xin; Liu, Ke; Zou, Dongqing; Li, Zhonglan; Huang, Heng; Thambawita, Vajira; Reproducibility Companion Paper: Focusing on Persons: Colorizing Old Images Learning from Modern Historical Movies Proceedings of the 30th ACM International Conference on Multimedia 7364-7367 2022
  31. Cise Midoglu, Evi Zouganeli, Dag Johansen, Michael Alexander Riegler, and Pål Halvorsen. 2021. Automated Event Detection and Classification in Soccer: The Potential of Using Multiple Modalities
    Rongved, Olav Andre Nergård; Stige, Markus; Hicks, Steven Alexander; Thambawita, Vajira Lasantha; Cise Midoglu, Evi Zouganeli, Dag Johansen, Michael Alexander Riegler, and Pål Halvorsen. 2021. Automated Event Detection and Classification in Soccer: The Potential of Using Multiple Modalities Machine Learning and Knowledge Extraction 3 4 1030-1054 2021
  32. Medico Multimedia Task at MediaEval 2021: Transparency in Medical Image Segmentation.
    Hicks, Steven; Jha, Debesh; Thambawita, Vajira; Hammer, Hugo; de Lange, Thomas; Parasa, Sravanthi; Riegler, Michael; Halvorsen, Pål; Medico Multimedia Task at MediaEval 2021: Transparency in Medical Image Segmentation. MediaEval 2021
  33. Emotional Mario Task at MediaEval 2021.
    Lux, Mathias; Riegler, Michael; Hicks, Steven; Dang-Nguyen, Duc-Tien; Jørgensen, Kristine; Thambawita, Vajira; Halvorsen, Pål; Emotional Mario Task at MediaEval 2021. MediaEval 2021
  34. Njord: a fishing trawler dataset
    Nordmo, Tor-Arne Schmidt; Ovesen, Aril Bernhard; Juliussen, Bjørn Aslak; Hicks, Steven Alexander; Thambawita, Vajira; Johansen, Håvard Dagenborg; Halvorsen, Pål; Riegler, Michael Alexander; Johansen, Dag; Njord: a fishing trawler dataset Proceedings of the 13th ACM Multimedia Systems Conference 197-202 2022
  35. P-243 Automating tracking of cell division for human embryo development in time lapse videos
    Sharma, A; Kakulavarapu, R; Thambawita, V; Siddiqui, M; Delbarre, E; Riegler, M; Hammer, H; Stensen, M; P-243 Automating tracking of cell division for human embryo development in time lapse videos Human Reproduction 37 Supplement_1 deac107. 233 2022 Oxford University Press
  36. P-272 Automatic Tracking of the ICSI procedure using Deep Learning
    Hicks, S; Thambawita, V; Storås, A; Haugen, TB; Hammer, HL; Halvorsen, P; Riegler, M; Stensen, MH; P-272 Automatic Tracking of the ICSI procedure using Deep Learning Human Reproduction 37 Supplement_1 deac107. 261 2022 Oxford University Press
  37. P-108 Real-time deep learning based multi object tracking of spermatozoa in fresh samples
    Thambawita, V; Hicks, SA; Storås, A; Witczak, O; Andersen, JM; Hammer, HL; Halvorsen, P; Riegler, MA; Haugen, TB; P-108 Real-time deep learning based multi object tracking of spermatozoa in fresh samples Human Reproduction 37 Supplement_1 deac107. 104 2022 Oxford University Press
  38. Chapter 4 Smittestopp analytics: Analysis of position data
    Thambawita, Vajira; Hicks, Steven A; Jaouen, Ewan; Halvorsen, Pål; Riegler, Michael A; Chapter 4 Smittestopp analytics: Analysis of position data Smittestopp− A Case Study on Digital Contact Tracing 63-79 2022 Springer International Publishing Cham
  39. Synthesizing a talking child avatar to train interviewers working with maltreated children
    Salehi, Pegah; Hassan, Syed Zohaib; Lammerse, Myrthe; Sabet, Saeed Shafiee; Riiser, Ingvild; Røed, Ragnhild Klingenberg; Johnson, Miriam S; Thambawita, Vajira; Hicks, Steven A; Powell, Martine; Synthesizing a talking child avatar to train interviewers working with maltreated children Big Data and Cognitive Computing 6 2 62 2022 MDPI
  40. Grid HTM: Hierarchical Temporal Memory for Anomaly Detection in Videos
    Monakhov, Vladimir; Thambawita, Vajira; Halvorsen, Pål; Riegler, Michael A; Grid HTM: Hierarchical Temporal Memory for Anomaly Detection in Videos arXiv preprint arXiv:2205.15407 2022
  41. Segmentation Consistency Training: Out-of-Distribution Generalization for Medical Image Segmentation
    Torpmann-Hagen, Birk; Thambawita, Vajira; Riegler, Michael A; Halvorsen, Pål; Glette, Kyrre; Segmentation Consistency Training: Out-of-Distribution Generalization for Medical Image Segmentation 2022 IEEE International Symposium on Multimedia (ISM) 42-49 2022 IEEE
  42. PolypConnect: Image inpainting for generating realistic gastrointestinal tract images with polyps
    Fagereng, Jan Andre; Thambawita, Vajira; Storås, Andrea M; Parasa, Sravanthi; De Lange, Thomas; Halvorsen, Pål; Riegler, Michael A; PolypConnect: Image inpainting for generating realistic gastrointestinal tract images with polyps 2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS) 66-71 2022 IEEE
  43. # ESHREjc report: on the road to preconception and personalized counselling with machine learning models
    Fraire-Zamora, Juan J; Ali, Zoya Enakshi; Makieva, Sofia; Massarotti, Claudia; Kohlhepp, Florian; Liperis, George; Perugini, Michelle; Thambawita, Vajira; Mincheva, Mina; # ESHREjc report: on the road to preconception and personalized counselling with machine learning models Human Reproduction 37 8 1955-1957 2022 Oxford University Press
  44. Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge
    Ali, Sharib; Ghatwary, Noha; Jha, Debesh; Isik-Polat, Ece; Polat, Gorkem; Yang, Chen; Li, Wuyang; Galdran, Adrian; Ballester, Miguel-Ángel González; Thambawita, Vajira; Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge Scientific Reports 14 1 2032 2024 Nature Publishing Group UK London
  45. MMSys' 22 Grand Challenge on AI-based Video Production for Soccer
    Midoglu, Cise; Hicks, Steven A; Thambawita, Vajira; Kupka, Tomas; Halvorsen, Pål; MMSys' 22 Grand Challenge on AI-based Video Production for Soccer arXiv preprint arXiv:2202.01031 2022
  46. Meta-learning with implicit gradients in a few-shot setting for medical image segmentation
    Khadka, Rabindra; Jha, Debesh; Hicks, Steven; Thambawita, Vajira; Riegler, Michael A; Ali, Sharib; Halvorsen, Pål; Meta-learning with implicit gradients in a few-shot setting for medical image segmentation Computers in Biology and Medicine 143 105227 2022 Pergamon
  47. Automated clipping of soccer events using machine learning
    Valand, Joakim O; Kadragic, Haris; Hicks, Steven A; Thambawita, Vajira; Midoglu, Cise; Kupka, Tomas; Johansen, Dag; Riegler, Michael A; Halvorsen, Pål; Automated clipping of soccer events using machine learning 2021 IEEE International Symposium on Multimedia (ISM) 210-214 2021 IEEE
  48. Automated event detection and classification in soccer: The potential of using multiple modalities
    Nergård Rongved, Olav Andre; Stige, Markus; Hicks, Steven Alexander; Thambawita, Vajira Lasantha; Midoglu, Cise; Zouganeli, Evi; Johansen, Dag; Riegler, Michael Alexander; Halvorsen, Pål; Automated event detection and classification in soccer: The potential of using multiple modalities Machine Learning and Knowledge Extraction 3 4 1030-1054 2021 MDPI
  49. Ai-based video clipping of soccer events
    Valand, Joakim Olav; Kadragic, Haris; Hicks, Steven Alexander; Thambawita, Vajira Lasantha; Midoglu, Cise; Kupka, Tomas; Johansen, Dag; Riegler, Michael Alexander; Halvorsen, Pål; Ai-based video clipping of soccer events Machine Learning and Knowledge Extraction 3 4 990-1008 2021 MDPI
  50. Impact of image resolution on deep learning performance in endoscopy image classification: An experimental study using a large dataset of endoscopic images
    Thambawita, Vajira; Strümke, Inga; Hicks, Steven A; Halvorsen, Pål; Parasa, Sravanthi; Riegler, Michael A; Impact of image resolution on deep learning performance in endoscopy image classification: An experimental study using a large dataset of endoscopic images Diagnostics 11 12 2183 2021 MDPI
  51. DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine
    Thambawita, Vajira; Isaksen, Jonas L; Hicks, Steven A; Ghouse, Jonas; Ahlberg, Gustav; Linneberg, Allan; Grarup, Niels; Ellervik, Christina; Olesen, Morten Salling; Hansen, Torben; DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine Scientific reports 11 1 21896 2021 Nature Publishing Group UK London
  52. Artificial Intelligence in Medicine: Gastroenterology
    Strümke, Inga; Hicks, Steven A; Thambawita, Vajira; Jha, Debesh; Parasa, Sravanthi; Riegler, Michael A; Halvorsen, Pål; Artificial Intelligence in Medicine: Gastroenterology Artificial Intelligence in Medicine 1-20 2021 Springer International Publishing Cham
  53. Medai: Transparency in medical image segmentation
    Hicks, Steven; Jha, Debesh; Thambawita, Vajira; Halvorsen, Pål; Singstad, Bjørn-Jostein; Gaur, Sachin; Pettersen, Klas; Goodwin, Morten; Parasa, Sravanthi; de Lange, Thomas; Medai: Transparency in medical image segmentation Nordic Machine Intelligence 1 1 1-4 2021
  54. Reproducibility companion paper: Norm-in-norm loss with faster convergence and better performance for image quality assessment
    Li, Dingquan; Jiang, Tingting; Jiang, Ming; Thambawita, Vajira Lasantha; Wang, Haoliang; Reproducibility companion paper: Norm-in-norm loss with faster convergence and better performance for image quality assessment Proceedings of the 29th ACM International Conference on Multimedia 3615-3618 2021
  55. Identification of spermatozoa by unsupervised learning from video data
    Thambawita, Vajira; Haugen, Trine B; Stensen, Mette Haug; Witczak, Oliwia; Hammer, Hugo L; Halvorsen, Pal; Riegler, Michael A; Identification of spermatozoa by unsupervised learning from video data HUMAN REPRODUCTION 36 150-151 2021 OXFORD UNIV PRESS GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
  56. Pyramidal segmentation of medical images using adversarial training
    Naess, Espen; Thambawita, Vajira; Hicks, Steven A; Riegler, Michael A; Halvorsen, Paal; Pyramidal segmentation of medical images using adversarial training Proceedings of the 2021 ACM Workshop on Intelligent Cross-Data Analysis and Retrieval 33-38 2021
  57. Multimodal virtual avatars for investigative interviews with children
    Baugerud, Gunn Astrid; Johnson, Miriam S; Klingenberg Røed, Ragnhild; Lamb, Michael E; Powell, Martine; Thambawita, Vajira; Hicks, Steven A; Salehi, Pegah; Hassan, Syed Zohaib; Halvorsen, Pål; Multimodal virtual avatars for investigative interviews with children Proceedings of the 2021 ACM Workshop on Intelligent Cross-Data Analysis and Retrieval 2-8 2021
  58. P–029 Identification of spermatozoa by unsupervised learning from video data
    Thambawita, V; Haugen, TB; Stensen, MH; Witczak, O; Hammer, HL; Halvorsen, P; Riegler, MA; P–029 Identification of spermatozoa by unsupervised learning from video data Human Reproduction 36 Supplement_1 deab130. 028 2021 Oxford University Press
  59. A self-learning teacher-student framework for gastrointestinal image classification
    Gjestang, Henrik L; Hicks, Steven A; Thambawita, Vajira; Halvorsen, Pål; Riegler, Michael A; A self-learning teacher-student framework for gastrointestinal image classification 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS) 539-544 2021 IEEE
  60. Using 3D convolutional neural networks for real-time detection of soccer events
    Rongved, Olav A Nergård; Hicks, Steven A; Thambawita, Vajira; Stensland, Håkon K; Zouganeli, Evi; Johansen, Dag; Midoglu, Cise; Riegler, Michael A; Halvorsen, Pål; Using 3D convolutional neural networks for real-time detection of soccer events International Journal of Semantic Computing 15 02 161-187 2021 World Scientific Publishing Company
  61. Divergentnets: Medical image segmentation by network ensemble
    Thambawita, Vajira; Hicks, Steven A; Halvorsen, Pål; Riegler, Michael A; Divergentnets: Medical image segmentation by network ensemble arXiv preprint arXiv:2107.00283 2021
  62. SinGAN-Seg: Synthetic training data generation for medical image segmentation
    Thambawita, Vajira; Salehi, Pegah; Sheshkal, Sajad Amouei; Hicks, Steven A; Hammer, Hugo L; Parasa, Sravanthi; Lange, Thomas de; Halvorsen, Pål; Riegler, Michael A; SinGAN-Seg: Synthetic training data generation for medical image segmentation PloS one 17 5 e0267976 2022 Public Library of Science San Francisco, CA USA
  63. DeepSynthBody: the beginning of the end for data deficiency in medicine
    Thambawita, Vajira; Hicks, Steven A; Isaksen, Jonas; Stensen, Mette Haug; Haugen, Trine B; Kanters, JØrgen; Parasa, Sravanthi; De Lange, Thomas; Johansen, Håvard D; Johansen, Dag; DeepSynthBody: the beginning of the end for data deficiency in medicine 2021 International Conference on Applied Artificial Intelligence (ICAPAI) 1-8 2021 IEEE
  64. Few-shot segmentation of medical images based on meta-learning with implicit gradients
    Khadga, Rabindra; Jha, Debesh; Ali, Sharib; Hicks, Steven; Thambawita, Vajira; Riegler, Michael A; Halvorsen, Pål; Few-shot segmentation of medical images based on meta-learning with implicit gradients arXiv preprint arXiv:2106.03223 2021
  65. ID: 3523524 Data augmentation using generative adversarial networks for creating realistic artificial colon polyp images: validation study by endoscopists
    Thambawita, Vajira L; Strümke, Inga; Hicks, Steven; Riegler, Michael A; Halvorsen, Pål; Parasa, Sravanthi; ID: 3523524 Data augmentation using generative adversarial networks for creating realistic artificial colon polyp images: validation study by endoscopists Gastrointestinal Endoscopy 93 6 AB190 2021 Mosby
  66. Fr615 impact of image resolution on convolutional neural networks performance in gastrointestinal endoscopy
    Thambawita, Vajira L; Hicks, Steven; Strümke, Inga; Riegler, Michael A; Halvorsen, Pal; Parasa, Sravanthi; Fr615 impact of image resolution on convolutional neural networks performance in gastrointestinal endoscopy Gastroenterology 160 6 S-377 2021 WB Saunders
  67. On evaluation metrics for medical applications of artificial intelligence
    Hicks, Steven A; Strümke, Inga; Thambawita, Vajira; Hammou, Malek; Riegler, Michael A; Halvorsen, Pål; Parasa, Sravanthi; On evaluation metrics for medical applications of artificial intelligence Scientific reports 12 1 5979 2022 Nature Publishing Group UK London
  68. A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging
    Jha, Debesh; Ali, Sharib; Hicks, Steven; Thambawita, Vajira; Borgli, Hanna; Smedsrud, Pia H; de Lange, Thomas; Pogorelov, Konstantin; Wang, Xiaowei; Harzig, Philipp; A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging Medical image analysis 70 102007 2021 Elsevier
  69. The EndoTect 2020 challenge: evaluation and comparison of classification, segmentation and inference time for endoscopy
    Hicks, Steven A; Jha, Debesh; Thambawita, Vajira; Halvorsen, Pål; Hammer, Hugo L; Riegler, Michael A; The EndoTect 2020 challenge: evaluation and comparison of classification, segmentation and inference time for endoscopy Pattern Recognition. ICPR International Workshops and Challenges: Virtual Event, January 10-15, 2021, Proceedings, Part VIII 263-274 2021 Springer International Publishing
  70. Explaining deep neural networks for knowledge discovery in electrocardiogram analysis
    Hicks, Steven A; Isaksen, Jonas L; Thambawita, Vajira; Ghouse, Jonas; Ahlberg, Gustav; Linneberg, Allan; Grarup, Niels; Strümke, Inga; Ellervik, Christina; Olesen, Morten Salling; Explaining deep neural networks for knowledge discovery in electrocardiogram analysis Scientific reports 11 1 10949 2021 Nature Publishing Group UK London
  71. Vid2Pix-A Framework for Generating High-Quality Synthetic Videos
    Nedrejord, Oda O; Thambawita, Vajira; Hicks, Steven A; Halvorsen, Pål; Riegler, Michael A; Vid2Pix-A Framework for Generating High-Quality Synthetic Videos 2020 IEEE International Symposium on Multimedia (ISM) 25-26 2020 IEEE
  72. Real-time detection of events in soccer videos using 3D convolutional neural networks
    Rongved, Olav A Norgård; Hicks, Steven A; Thambawita, Vajira; Stensland, Håkon K; Zouganeli, Evi; Johansen, Dag; Riegler, Michael A; Halvorsen, Pål; Real-time detection of events in soccer videos using 3D convolutional neural networks 2020 IEEE International Symposium on Multimedia (ISM) 135-144 2020 IEEE
  73. Pyramid-focus-augmentation: medical image segmentation with step-wise focus
    Thambawita, Vajira; Hicks, Steven; Halvorsen, Pål; Riegler, Michael A; Pyramid-focus-augmentation: medical image segmentation with step-wise focus arXiv preprint arXiv:2012.07430 2020
  74. ACM multimedia biomedia 2020 grand challenge overview
    Hicks, Steven A; Thambawita, Vajira; Hammer, Hugo L; Haugen, Trine B; Andersen, Jorunn M; Witczak, Oliwia; Halvorsen, Pål; Riegler, Michael A; ACM multimedia biomedia 2020 grand challenge overview Proceedings of the 28th ACM International Conference on Multimedia 4655-4658 2020
  75. Kvasir-instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy
    Jha, Debesh; Ali, Sharib; Emanuelsen, Krister; Hicks, Steven A; Thambawita, Vajira; Garcia-Ceja, Enrique; Riegler, Michael A; de Lange, Thomas; Schmidt, Peter T; Johansen, Håvard D; Kvasir-instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy MultiMedia Modeling: 27th International Conference, MMM 2021, Prague, Czech Republic, June 22–24, 2021, Proceedings, Part II 27 218-229 2021 Springer International Publishing
  76. Htad: A home-tasks activities dataset with wrist-accelerometer and audio features
    Garcia-Ceja, Enrique; Thambawita, Vajira; Hicks, Steven A; Jha, Debesh; Jakobsen, Petter; Hammer, Hugo L; Halvorsen, Pål; Riegler, Michael A; Htad: A home-tasks activities dataset with wrist-accelerometer and audio features MultiMedia Modeling: 27th International Conference, MMM 2021, Prague, Czech Republic, June 22–24, 2021, Proceedings, Part II 27 196-205 2021 Springer International Publishing
  77. Kvasir-Capsule, a video capsule endoscopy dataset
    Smedsrud, Pia H; Thambawita, Vajira; Hicks, Steven A; Gjestang, Henrik; Nedrejord, Oda Olsen; Næss, Espen; Borgli, Hanna; Jha, Debesh; Berstad, Tor Jan Derek; Eskeland, Sigrun L; Kvasir-Capsule, a video capsule endoscopy dataset Scientific Data 8 1 142 2021 Nature Publishing Group UK London
  78. CEUR WORKSHOP PROCEEDINGS
    Said, N; Ahmad, N; Pogorelov, K; Riegler, M; Halvorsen, P; Ahmad, K; Conci, N; Ostroukhova, O; Dang-Nguyen, DT; Randel, KR; CEUR WORKSHOP PROCEEDINGS 2018
  79. An extensive study on cross-dataset bias and evaluation metrics interpretation for machine learning applied to gastrointestinal tract abnormality classification
    Thambawita, Vajira; Jha, Debesh; Hammer, Hugo Lewi; Johansen, Håvard D; Johansen, Dag; Halvorsen, Pål; Riegler, Michael A; 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 3 1-29 2020 ACM New York, NY, USA
  80. Toadstool: A dataset for training emotional intelligent machines playing Super Mario Bros
    Svoren, Henrik; Thambawita, Vajira; Halvorsen, Pål; Jakobsen, Petter; Garcia-Ceja, Enrique; Noori, Farzan Majeed; Hammer, Hugo L; Lux, Mathias; Riegler, Michael Alexander; Hicks, Steven Alexander; Toadstool: A dataset for training emotional intelligent machines playing Super Mario Bros Proceedings of the 11th ACM Multimedia Systems Conference 309-314 2020
  81. Psykose: A motor activity database of patients with schizophrenia
    Jakobsen, Petter; Garcia-Ceja, Enrique; Stabell, Lena Antonsen; Oedegaard, Ketil Joachim; Berle, Jan Oystein; Thambawita, Vajira; Hicks, Steven Alexander; Halvorsen, Pål; Fasmer, Ole Bernt; Riegler, Michael Alexander; Psykose: A motor activity database of patients with schizophrenia 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS) 303-308 2020 IEEE
  82. Pmdata: a sports logging dataset
    Thambawita, Vajira; Hicks, Steven Alexander; Borgli, Hanna; Stensland, Håkon Kvale; Jha, Debesh; Svensen, Martin Kristoffer; Pettersen, Svein-Arne; Johansen, Dag; Johansen, Håvard Dagenborg; Pettersen, Susann Dahl; Pmdata: a sports logging dataset Proceedings of the 11th ACM Multimedia Systems Conference 231-236 2020
  83. HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy
    Borgli, Hanna; Thambawita, Vajira; Smedsrud, Pia H; Hicks, Steven; Jha, Debesh; Eskeland, Sigrun L; Randel, Kristin Ranheim; Pogorelov, Konstantin; Lux, Mathias; Nguyen, Duc Tien Dang; HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy Scientific data 7 1 283 2020 Nature Publishing Group UK London
  84. Stacked dense optical flows and dropout layers to predict sperm motility and morphology
    Thambawita, Vajira; Halvorsen, Pål; Hammer, Hugo; Riegler, Michael; Haugen, Trine B; Stacked dense optical flows and dropout layers to predict sperm motility and morphology arXiv preprint arXiv:1911.03086 2019
  85. Extracting temporal features into a spatial domain using autoencoders for sperm video analysis
    Thambawita, Vajira; Halvorsen, Pål; Hammer, Hugo; Riegler, Michael; Haugen, Trine B; Extracting temporal features into a spatial domain using autoencoders for sperm video analysis arXiv preprint arXiv:1911.03100 2019
  86. Machine learning-based analysis of sperm videos and participant data for male fertility prediction
    Hicks, Steven A; Andersen, Jorunn M; Witczak, Oliwia; Thambawita, Vajira; Halvorsen, Pål; Hammer, Hugo L; Haugen, Trine B; Riegler, Michael A; Machine learning-based analysis of sperm videos and participant data for male fertility prediction Scientific reports 9 1 16770 2019 Nature Publishing Group UK London
  87. GANEx: A complete pipeline of training, inference and benchmarking GAN experiments
    Thambawita, Vajira; Hammer, Hugo Lewi; Riegler, Michael; Halvorsen, Pål; GANEx: A complete pipeline of training, inference and benchmarking GAN experiments 2019 International Conference on Content-Based Multimedia Indexing (CBMI) 1-4 2019 IEEE
  88. Unsupervised preprocessing to improve generalisation for medical image classification
    Kirkerød, Mathias; Borgli, Rune Johan; Thambawita, Vajira; Hicks, Steven; Riegler, Michael Alexander; Halvorsen, Pål; Unsupervised preprocessing to improve generalisation for medical image classification 2019 13th International Symposium on Medical Information and Communication Technology (ISMICT) 1-6 2019 IEEE
  89. Using preprocessing as a tool in medical image detection
    Kirkerùd, Mathias; Thambawita, Vajira; Riegler, Michael; Halvorsen, Pål; Using preprocessing as a tool in medical image detection 2018
  90. The medico-task 2018: Disease detection in the gastrointestinal tract using global features and deep learning
    Thambawita, Vajira; Jha, Debesh; Riegler, Michael; Halvorsen, Pål; Hammer, Hugo Lewi; Johansen, Håvard D; Johansen, Dag; The medico-task 2018: Disease detection in the gastrointestinal tract using global features and deep learning arXiv preprint arXiv:1810.13278 2018
  91. To use or not to use: CPUs' cache optimization techniques on GPGPUs
    Thambawita, DRVLB; Ragel, Roshan G; Elkaduwe, Dhammike; To use or not to use: CPUs' cache optimization techniques on GPGPUs 2016 IEEE International Conference on Information and Automation for Sustainability (ICIAfS) 1-6 2016 IEEE
  92. Graphics Processing Units: To Use or Not to Use?
    Thambawita, DRVLB; Ellepola, NC; Ragel, RG; Elkaduwe, D; Graphics Processing Units: To Use or Not to Use? 2013 The University of Peradeniya
  93. An optimized Parallel Failure-less Aho-Corasick algorithm for DNA sequence matching
    Thambawita, DRVLB; Ragel, Roshan G; Elkaduwe, Dhammike; An optimized Parallel Failure-less Aho-Corasick algorithm for DNA sequence matching 2016 IEEE International Conference on Information and Automation for Sustainability (ICIAfS) 1-6 2016 IEEE
  94. To use or not to use: Graphics processing units (GPUs) for pattern matching algorithms
    Thambawita, Vajira; Ragel, Roshan; Elkaduwe, Dhammika; To use or not to use: Graphics processing units (GPUs) for pattern matching algorithms 7th International Conference on Information and Automation for Sustainability 1-4 2014 IEEE
  95. BUILDING A LOW-COST TELEPRESENCE ROBOT WITH GENERIC HARDWARE
    Thambawita, Vajira; Herath, Kalindu; BUILDING A LOW-COST TELEPRESENCE ROBOT WITH GENERIC HARDWARE 2011
  96. Low Cost Telepresence Robot
    Thambawita, Vajira; Herath, Kalindu; Ragel, Roshan; Elkaduwe, Dhammika; Low Cost Telepresence Robot 2011 University of Peradeniya