Research

19
Bogdan Ionescu, Henning Müller, A Drăgulinescu, Wen-wai Yim, A Ben Abacha, Neal Snider, Griffin Adams, Meliha Yetisgen, Johannes Rückert, A García Seco Herrera, and others. Overview of ImageCLEF 2023: Multimedia retrieval in medical, socialmedia and recommender systems applications. 2023. 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.
[ bibtex ] [ pdf ]
20
Alexander K Pishva, Vajira Thambawita, Jim Torresen, and Steven A Hicks. RePolyp: A Framework for Generating Realistic Colon Polyps with Corresponding Segmentation Masks using Diffusion Models. 2023. 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS).
[ bibtex ] [ pdf ]
21
Andrea M Storås, Ole Emil Andersen, Sam Lockhart, Roman Thielemann, Filip Gnesin, Vajira Thambawita, Steven A Hicks, Jørgen K Kanters, Inga Strümke, Pål Halvorsen, and others. Usefulness of Heat Map Explanations for Deep-Learning-Based Electrocardiogram Analysis. 2023. Diagnostics.
[ bibtex ] [ pdf ]
22
Thu Nguyen, Andrea M Storås, Vajira Thambawita, Steven A Hicks, Pål Halvorsen, and Michael A Riegler. Multimedia Datasets: Challenges and Future Possibilities. 2023. International Conference on Multimedia Modeling.
[ bibtex ] [ pdf ]
23
Bogdan Ionescu, Henning Müller, Ana Maria Drăgulinescu, Adrian Popescu, Ahmad Idrissi-Yaghir, Alba Herrera, Alexandra Andrei, Alexandru Stan, Andrea M Storås, Asma Ben Abacha, and others. ImageCLEF 2023 Highlight: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications. 2023. European Conference on Information Retrieval.
[ bibtex ] [ pdf ]
24
Michael A Riegler, Vajira Thambawita, Ayan Chatterjee, Thu Nguyen, Steven A Hicks, Vibeke Telle-Hansen, Svein Arne Pettersen, Dag Johansen, Ramesh Jain, and Pål Halvorsen. ScopeSense: An 8.5-month sport, nutrition, and lifestyle lifelogging dataset. 2023. International Conference on Multimedia Modeling.
[ bibtex ] [ pdf ]
25
Andrea M Storås, Michael A Riegler, Trine B Haugen, Vajira Thambawita, Steven A Hicks, Hugo L Hammer, Radhika Kakulavarapu, Pål Halvorsen, and Mette H Stensen. Automatic Unsupervised Clustering of Videos of the Intracytoplasmic Sperm Injection (ICSI) Procedure. 2022. Symposium of the Norwegian AI Society.
[ bibtex ] [ pdf ]
26
Cise Midoglu, Andrea Storås, Saeed Shafiee Sabet, Malek Hammou, Steven Alexander Hicks, Inga Strümke, Michael Alexander Riegler, Carsten Griwodz, and Pål Halvorsen. Experiences and Lessons Learned from a Crowdsourced-Remote Hybrid User Survey Framework. 2022. 2022 IEEE International Symposium on Multimedia (ISM).
[ bibtex ] [ pdf ]
27
Trine B Haugen, Oliwia Witczak, Steven A Hicks, Lars Bjørndahl, Jorunn M Andersen, and Michael A Riegler. Sperm motility assessed by deep convolutional neural networks into WHO categories. 2023. Scientific Reports.
[ bibtex ] [ pdf ]
28
Tor-Arne Schmidt Nordmo, Ove Kvalsvik, Svein Ove Kvalsund, Birte Hansen, Pål Halvorsen, Steven Hicks, Dag Johansen, Håvard D Johansen, and Michael Alexander Riegler. Fish AI: Sustainable Commercial Fishing. 2022. Nordic Machine Intelligence (NMI).
[ bibtex ] [ pdf ]
29
Vajira Thambawita, Steven A Hicks, Andrea M Storås, Thu Nguyen, Jorunn M Andersen, Oliwia Witczak, Trine B Haugen, Hugo L Hammer, Pål Halvorsen, and Michael A Riegler. VISEM-Tracking, a human spermatozoa tracking dataset. 2023. Scientific Data.
[ bibtex ] [ pdf ]
30
Vajira Thambawita, Andrea M Storås, Steven A Hicks, Pål Halvorsen, and Michael A Riegler. MLC at HECKTOR 2022: The Effect and Importance of Training Data When Analyzing Cases of Head and Neck Tumors Using Machine Learning. 2022. 3D Head and Neck Tumor Segmentation in PET/CT Challenge.
[ bibtex ] [ pdf ]
31
Olav Andre Nergård Rongved, Markus Stige, Steven Alexander Hicks, and Vajira Lasantha Thambawita. Automated Event Detection and Classification in Soccer: The Potential of Using Multiple Modalities. 2021. Machine Learning and Knowledge Extraction.
[ bibtex ] [ pdf ]
32
Felicia Ly Jacobsen, Steven A Hicks, Pål Halvorsen, and Michael A Riegler. Estimating Predictive Uncertainty in Gastrointestinal Polyp Segmentation. 2022. 2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS).
[ bibtex ] [ pdf ]
33
Azza H Ahmed, Michael A Riegler, Steven A Hicks, and Ahmed Elmokashfi. RCAD: Real-time Collaborative Anomaly Detection System for Mobile Broadband Networks. 2022. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
[ bibtex ] [ pdf ]
34
Steven Hicks, Debesh Jha, Vajira Thambawita, Hugo Hammer, Thomas Lange, Sravanthi Parasa, Michael Riegler, and Pål Halvorsen. Medico multimedia task at mediaeval 2021: Transparency in medical image segmentation. 2021. CEUR Workshop Proceedings.
[ bibtex ] [ pdf ]
35
Mathias Lux, Michael Riegler, Henrik Svoren, S Hicks, Duc-Tien Dang-Nguyen, Kristine Jorgensen, Vajira Thambawita, and P Halvorsen. Emotional Mario Task at MediaEval 2021. 2021. CEUR Workshop Proceedings.
[ bibtex ] [ pdf ]
36
Malek Hammou, Cise Midoglu, Steven A Hicks, Andrea Storås, Saeed Shafiee Sabet, Inga Strümke, Michael A Riegler, and Pål Halvorsen. Huldra: A framework for collecting crowdsourced feedback on multimedia assets. 2022. Proceedings of the 13th ACM Multimedia Systems Conference.
[ bibtex ] [ pdf ]
37
Andreas Husa, Cise Midoglu, Malek Hammou, Steven A Hicks, Dag Johansen, Tomas Kupka, Michael A Riegler, and Pål Halvorsen. Automatic thumbnail selection for soccer videos using machine learning. 2022. Proceedings of the 13th ACM Multimedia Systems Conference.
[ bibtex ] [ pdf ]
38
Tor-Arne Schmidt Nordmo, Aril Bernhard Ovesen, Bjørn Aslak Juliussen, Steven Alexander Hicks, Vajira Thambawita, Håvard Dagenborg Johansen, Pål Halvorsen, Michael Alexander Riegler, and Dag Johansen. Njord: a fishing trawler dataset. 2022. Proceedings of the 13th ACM Multimedia Systems Conference.
[ bibtex ] [ pdf ]
39
Vajira Thambawita, Steven A Hicks, Ewan Jaouen, Pål Halvorsen, and Michael A Riegler. Chapter 4 Smittestopp analytics: Analysis of position data. 2022. Smittestopp- A Case Study on Digital Contact Tracing.
[ bibtex ] [ pdf ]
40
Pegah Salehi, Syed Zohaib Hassan, Myrthe Lammerse, Saeed Shafiee Sabet, Ingvild Riiser, Ragnhild Klingenberg Røed, Miriam S Johnson, Vajira Thambawita, Steven A Hicks, Martine Powell, and others. Synthesizing a talking child avatar to train interviewers working with maltreated children. 2022. Big Data and Cognitive Computing.
[ bibtex ]
41
Rabindra Khadka, Debesh Jha, Steven Hicks, Vajira Thambawita, Michael A Riegler, Sharib Ali, and Pål Halvorsen. Meta-learning with implicit gradients in a few-shot setting for medical image segmentation. 2022. Computers in Biology and Medicine.
[ bibtex ] [ pdf ]
42
Joakim O Valand, Haris Kadragic, Steven A Hicks, Vajira Thambawita, Cise Midoglu, Tomas Kupka, Dag Johansen, Michael A Riegler, and Pål Halvorsen. Automated clipping of soccer events using machine learning. 2021. 2021 IEEE International Symposium on Multimedia (ISM).
[ bibtex ] [ pdf ]
43
Azza H Ahmed, Steven Hicks, Michael Alexander Riegler, and Ahmed Elmokashfi. Predicting High Delays in Mobile Broadband Networks. 2021. IEEE Access.
[ bibtex ] [ pdf ]
44
Olav Andre Nergård Rongved, Markus Stige, Steven Alexander Hicks, Vajira Lasantha Thambawita, Cise Midoglu, Evi Zouganeli, Dag Johansen, Michael Alexander Riegler, and Pål Halvorsen. Automated event detection and classification in soccer: The potential of using multiple modalities. 2021. Machine Learning and Knowledge Extraction.
[ bibtex ] [ pdf ]
45
Joakim Olav Valand, Haris Kadragic, Steven Alexander Hicks, Vajira Lasantha Thambawita, Cise Midoglu, Tomas Kupka, Dag Johansen, Michael Alexander Riegler, and Pål Halvorsen. AI-Based Video Clipping of Soccer Events. 2021. Machine Learning and Knowledge Extraction.
[ bibtex ] [ pdf ]
46
Vajira Thambawita, Inga Strümke, Steven A Hicks, Pål Halvorsen, Sravanthi Parasa, and Michael A Riegler. Impact of image resolution on deep learning performance in endoscopy image classification: an experimental study using a large dataset of endoscopic images. 2021. Diagnostics.
[ bibtex ] [ pdf ]
47
Vajira Thambawita, Jonas L Isaksen, Steven A Hicks, Jonas Ghouse, Gustav Ahlberg, Allan Linneberg, Niels Grarup, Christina Ellervik, Morten Salling Olesen, Torben Hansen, and others. DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine. 2021. Scientific Reports.
[ bibtex ] [ pdf ]
48
Hanna Svennevik, Michael A Riegler, Steven Hicks, Trude Storelvmo, and Hugo L Hammer. Prediction of cloud fractional cover using machine learning. 2021. Big Data and Cognitive Computing.
[ bibtex ] [ pdf ]
49
Steven Hicks, Debesh Jha, Vajira Thambawita, Pål Halvorsen, Bjørn-Jostein Singstad, Sachin Gaur, Klas Pettersen, Morten Goodwin, Sravanthi Parasa, Thomas Lange, and others. Medai: Transparency in medical image segmentation. 2021. Nordic Machine Intelligence.
[ bibtex ] [ pdf ]
50
Li Tao, Xueting Wang, Toshihiko Yamasaki, Jingjing Chen, and Steven Hicks. Reproducibility Companion Paper: Self-supervised Video Representation Learning Using Inter-intra Contrastive Framework. 2021. Proceedings of the 29th ACM International Conference on Multimedia.
[ bibtex ] [ pdf ]
51
Jari Korhonen, Yicheng Su, Junyong You, Steven Hicks, and Cise Midoglu. Reproducibility companion paper: Blind natural video quality prediction via statistical temporal features and deep spatial features. 2021. Proceedings of the 29th ACM International Conference on Multimedia.
[ bibtex ] [ pdf ]
52
Steven A Hicks, Andrea Stautland, Ole Bernt Fasmer, Wenche Førland, Hugo Lewi Hammer, Pål Halvorsen, Kristin Mjeldheim, Ketil Joachim Oedegaard, Berge Osnes, Vigdis Elin Giæver Syrstad, and others. HYPERAKTIV: An Activity Dataset from Patients with Attention-Deficit/Hyperactivity Disorder (ADHD). 2021. Proceedings of the 12th ACM Multimedia Systems Conference.
[ bibtex ] [ pdf ]
53
Espen Naess, Vajira Thambawita, Steven A Hicks, Michael A Riegler, and Paal Halvorsen. Pyramidal segmentation of medical images using adversarial training. 2021. Proceedings of the 2021 Workshop on Intelligent Cross-Data Analysis and Retrieval.
[ bibtex ] [ pdf ]
54
Gunn Astrid Baugerud, Miriam S Johnson, Ragnhild Klingenberg Røed, Michael E Lamb, Martine Powell, Vajira Thambawita, Steven A Hicks, Pegah Salehi, Syed Zohaib Hassan, Pål Halvorsen, and others. Multimodal virtual avatars for investigative interviews with children. 2021. Proceedings of the 2021 Workshop on Intelligent Cross-Data Analysis and Retrieval.
[ bibtex ] [ pdf ]
55
Michael Alexander Riegler, Mette Haug Stensen, Oliwia Witczak, Jorunn Marie Andersen, SA Hicks, Hugo Lewi Hammer, Erwan Delbarre, Pål Halvorsen, Anis Yazidi, Nicolai Holst, and others. Artificial intelligence in the fertility clinic: status, pitfalls and possibilities. 2021. Human Reproduction.
[ bibtex ] [ pdf ]
56
Henrik L Gjestang, Steven A Hicks, Vajira Thambawita, Pål Halvorsen, and Michael A Riegler. A self-learning teacher-student framework for gastrointestinal image classification. 2021. 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS).
[ bibtex ] [ pdf ]
57
Olav A Nergård Rongved, Steven A Hicks, Vajira Thambawita, Håkon K Stensland, Evi Zouganeli, Dag Johansen, Cise Midoglu, Michael A Riegler, and Pål Halvorsen. Using 3D convolutional neural networks for real-time detection of soccer events. 2021. International Journal of Semantic Computing.
[ bibtex ] [ pdf ]
58
Vajira Thambawita, Pegah Salehi, Sajad Amouei Sheshkal, Steven A Hicks, Hugo L Hammer, Sravanthi Parasa, Thomas de Lange, Pål Halvorsen, and Michael A Riegler. SinGAN-Seg: Synthetic training data generation for medical image segmentation. 2022. PloS one.
[ bibtex ] [ pdf ]
59
Vajira Thambawita, Steven A Hicks, Jonas Isaksen, Mette Haug Stensen, Trine B Haugen, Jørgen Kanters, Sravanthi Parasa, Thomas De Lange, Håvard D Johansen, Dag Johansen, and others. DeepSynthBody: the beginning of the end for data deficiency in medicine. 2021. 2021 International Conference on Applied Artificial Intelligence (ICAPAI).
[ bibtex ] [ pdf ]
60
Steven A Hicks, Inga Strümke, Vajira Thambawita, Malek Hammou, Michael A Riegler, Pål Halvorsen, and Sravanthi Parasa. On evaluation metrics for medical applications of artificial intelligence. 2022. Scientific Reports.
[ bibtex ] [ pdf ]
61
Debesh Jha, Sharib Ali, Steven Hicks, Vajira Thambawita, Hanna Borgli, Pia H Smedsrud, Thomas Lange, Konstantin Pogorelov, Xiaowei Wang, Philipp Harzig, and others. A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging. 2021. Medical image analysis.
[ bibtex ] [ pdf ]
62
Steven A Hicks, Debesh Jha, Vajira Thambawita, Pål Halvorsen, Hugo L Hammer, and Michael A Riegler. The EndoTect 2020 challenge: evaluation and comparison of classification, segmentation and inference time for endoscopy. 2021. Pattern Recognition. ICPR International Workshops and Challenges: Virtual Event, January 10-15, 2021, Proceedings, Part VIII.
[ bibtex ] [ pdf ]
63
Steven A Hicks, Jonas L Isaksen, Vajira Thambawita, Jonas Ghouse, Gustav Ahlberg, Allan Linneberg, Niels Grarup, Inga Strümke, Christina Ellervik, Morten Salling Olesen, and others. Explaining deep neural networks for knowledge discovery in electrocardiogram analysis. 2021. Scientific Reports.
[ bibtex ] [ pdf ]
64
Oda O Nedrejord, Vajira Thambawita, Steven A Hicks, Pål Halvorsen, and Michael A Riegler. Vid2Pix-A Framework for Generating High-Quality Synthetic Videos. 2020. 2020 IEEE International Symposium on Multimedia (ISM).
[ bibtex ] [ pdf ]
65
Olav A Norgård Rongved, Steven A Hicks, Vajira Thambawita, Håkon K Stensland, Evi Zouganeli, Dag Johansen, Michael A Riegler, and Pål Halvorsen. Real-time detection of events in soccer videos using 3D convolutional neural networks. 2020. 2020 IEEE International Symposium on Multimedia (ISM).
[ bibtex ] [ pdf ]
66
Steven Hicks, Michael Riegler, Pia Smedsrud, Trine B Haugen, Kristin Ranheim Randel, Konstantin Pogorelov, Håkon Kvale Stensland, Duc-Tien Dang-Nguyen, Mathias Lux, Andreas Petlund, and others. ACM MM BioMedia 2019 Grand Challenge Overview. 2019. Proceedings of the ACM International Conference on Multimedia (ACM MM'19). ACM.
[ bibtex ] [ pdf ]
67
Steven Alexander Hicks, Pål Halvorsen, Trine B Haugen, Jorunn M Andersen, Oliwia Witczak, Konstantin Pogorelov, Hugo Lewi Hammer, Duc-Tien Dang-Nguyen, Mathias Lux, and Michael Riegler. 2019. CEUR Workshop Proceedings.
[ bibtex ] [ pdf ]
68
Steven Alexander Hicks, Trine B Haugen, Pål Halvorsen, and Michael Riegler. 2019. CEUR Workshop Proceedings.
[ bibtex ] [ pdf ]
69
Jon-Magnus Rosenblad, Steven Alexander Hicks, Håkon Kvale Stensland, Trine B Haugen, Pål Halvorsen, and Michael Riegler. 2019. CEUR Workshop Proceedings.
[ bibtex ] [ pdf ]
70
Steven Alexander Hicks, Pål Halvorsen, Trine B Haugen, Jorunn M Andersen, Oliwia Witczak, Konstantin Pogorelov, Hugo Lewi Hammer, Duc-Tien Dang-Nguyen, Mathias Lux, and Michael Riegler. 2019. CEUR Workshop Proceedings.
[ bibtex ] [ pdf ]
71
Syed Zohaib Hassan, Kashif Ahmad, Steven Hicks, Pål Halvorsen, Ala Al-Fuqaha, Nicola Conci, and Michael Riegler. Visual sentiment analysis from disaster images in social media. 2022. Sensors.
[ bibtex ] [ pdf ]
72
Debesh Jha, Sharib Ali, Krister Emanuelsen, Steven A Hicks, Vajira Thambawita, Enrique Garcia-Ceja, Michael A Riegler, Thomas Lange, Peter T Schmidt, Håvard D Johansen, and others. Kvasir-instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy. 2021. MultiMedia Modeling: 27th International Conference, MMM 2021, Prague, Czech Republic, June 22--24, 2021, Proceedings, Part II 27.
[ bibtex ] [ pdf ]
73
Enrique Garcia-Ceja, Vajira Thambawita, Steven A Hicks, Debesh Jha, Petter Jakobsen, Hugo L Hammer, Pål Halvorsen, and Michael A Riegler. Htad: A home-tasks activities dataset with wrist-accelerometer and audio features. 2021. MultiMedia Modeling: 27th International Conference, MMM 2021, Prague, Czech Republic, June 22--24, 2021, Proceedings, Part II 27.
[ bibtex ] [ pdf ]
74
Pia H Smedsrud, Vajira Thambawita, Steven A Hicks, Henrik Gjestang, Oda Olsen Nedrejord, Espen Næss, Hanna Borgli, Debesh Jha, Tor Jan Derek Berstad, Sigrun L Eskeland, and others. Kvasir-Capsule, a video capsule endoscopy dataset. 2021. Scientific Data.
[ bibtex ] [ pdf ]
75
Henrik Svoren, Vajira Thambawita, Pål Halvorsen, Petter Jakobsen, Enrique Garcia-Ceja, Farzan Majeed Noori, Hugo L Hammer, Mathias Lux, Michael Alexander Riegler, and Steven Alexander Hicks. Toadstool: A dataset for training emotional intelligent machines playing Super Mario Bros. 2020. Proceedings of the 11th ACM Multimedia Systems Conference.
[ bibtex ]
76
Petter Jakobsen, Enrique Garcia-Ceja, Lena Antonsen Stabell, Ketil Joachim Oedegaard, Jan Oystein Berle, Vajira Thambawita, Steven Alexander Hicks, Pål Halvorsen, Ole Bernt Fasmer, and Michael Alexander Riegler. Psykose: A motor activity database of patients with schizophrenia. 2020. 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS).
[ bibtex ] [ pdf ]
77
Vajira Thambawita, Steven Alexander Hicks, Hanna Borgli, Håkon Kvale Stensland, Debesh Jha, Martin Kristoffer Svensen, Svein-Arne Pettersen, Dag Johansen, Håvard Dagenborg Johansen, Susann Dahl Pettersen, and others. Pmdata: a sports logging dataset. 2020. Proceedings of the 11th ACM Multimedia Systems Conference.
[ bibtex ] [ pdf ]
78
Edvarda Eriksen, Steven Hicks, Michael Alexander Riegler, Pål Halvorsen, and Valentina Carapella. A Web-Based Software for Training and Quality Assessment in the Image Analysis Workflow for Cardiac T1 Mapping MRI. 2019. 2019 IEEE International Symposium on Multimedia (ISM).
[ bibtex ] [ pdf ]
79
Hanna Borgli, Vajira Thambawita, Pia H Smedsrud, Steven Hicks, Debesh Jha, Sigrun L Eskeland, Kristin Ranheim Randel, Konstantin Pogorelov, Mathias Lux, Duc Tien Dang Nguyen, and others. HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy. 2020. Scientific data.
[ bibtex ] [ pdf ]
80
Aanund Jupskås Nordskog, Pål Halvorsen, Steven Hicks, Håkon K Stensland, Hugo L Hammer, Dag Johansen, and Michael A Riegler. Semantic Analysis of Soccer News for Automatic Game Event Classification. 2019. 2019 International Conference on Content-Based Multimedia Indexing (CBMI).
[ bibtex ] [ pdf ]
81
Steven A Hicks, Jorunn M Andersen, Oliwia Witczak, Vajira Thambawita, Pål Halvorsen, Hugo L Hammer, Trine B Haugen, and Michael A Riegler. Machine learning-based analysis of sperm videos and participant data for male fertility prediction. 2019. Scientific Reports.
[ bibtex ] [ pdf ]
82
Steven A Hicks, Vajira Thambawita, Hugo L Hammer, Trine B Haugen, Jorunn M Andersen, Oliwia Witczak, Pål Halvorsen, and Michael A Riegler. ACM multimedia biomedia 2020 grand challenge overview. 2020. Proceedings of the 28th ACM International Conference on Multimedia.
[ bibtex ] [ pdf ]
83
Konstantin Pogorelov, Michael Riegler, Pål Halvorsen, Steven Hicks, Kristin Ranheim Randel, Duc Tien Dang Nguyen, Mathias Lux, Olga Ostroukhova, and Thomas Lange. Medico multimedia task at mediaeval 2018. 2018. CEUR Workshop Proceedings.
[ bibtex ] [ pdf ]
84
Mathias Kirkerød, Rune Johan Borgli, Vajira Thambawita, Steven Hicks, Michael Alexander Riegler, and Pål Halvorsen. Unsupervised preprocessing to improve generalisation for medical image classification. 2019. 13th International Symposium on Medical Information and Communication Technology (ISMICT).
[ bibtex ] [ pdf ]
85
Trine B Haugen, Steven A Hicks, Jorunn M Andersen, Oliwia Witczak, Hugo L Hammer, Rune Borgli, Pål Halvorsen, and Michael Riegler. Visem: A multimodal video dataset of human spermatozoa. 2019. Proceedings of the 10th ACM Multimedia Systems Conference.
[ bibtex ] [ pdf ]
86
Steven Alexander Hicks, Sigrun Eskeland, Mathias Lux, Thomas Lange, Kristin Ranheim Randel, Mattis Jeppsson, Konstantin Pogorelov, Pål Halvorsen, and Michael Riegler. Mimir: an automatic reporting and reasoning system for deep learning based analysis in the medical domain. 2018. Proceedings of the 9th ACM Multimedia Systems Conference.
[ bibtex ] [ pdf ]
87
Steven Alexander Hicks, Konstantin Pogorelov, Thomas Lange, Mathias Lux, Mattis Jeppsson, Kristin Ranheim Randel, Sigrun Eskeland, Pål Halvorsen, and Michael Riegler. Comprehensible reasoning and automated reporting of medical examinations based on deep learning analysis. 2018. Proceedings of the 9th ACM Multimedia Systems Conference.
[ bibtex ] [ pdf ]
88
Steven Hicks, Michael Riegler, Konstantin Pogorelov, Kim V Anonsen, Thomas Lange, Dag Johansen, Mattis Jeppsson, Kristin Ranheim Randel, Sigrun Losada Eskeland, and Pål Halvorsen. Dissecting deep neural networks for better medical image classification and classification understanding. 2018. IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS).
[ bibtex ] [ pdf ]
89
Steven Alexander Hicks, Pia H Smedsrud, Pål Halvorsen, and Michael Riegler. 2018. CEUR Workshop Proceedings.
[ bibtex ] [ pdf ]

Master Students

1
Henrik Svoren. Emotional Mario-Using Super Mario Bros. to Train Emotional Intelligent Machines. 2020. .
[ bibtex ] [ thesis ]
2
Espen Næss. Pyramidal Segmentation of Medical Images via Generative Adversarial Networks. 2020. .
[ bibtex ] [ thesis ]
3
Martin Kristoffer Svensen. Reidentifying Anonymised Data Using Machine Learning. 2020. .
[ bibtex ] [ thesis ]
4
Lucas Georges Gabriel Charpentier. To prune or not to prune: Exploring the effects of nodes in neural networks. 2020. .
[ bibtex ] [ thesis ]
5
Mathias Kirkerød. Unsupervised preprocessing of medical imaging data with generative adversarial networks. 2019. .
[ bibtex ] [ thesis ]
6
Edvarda Regine Winlund Eriksen. A machine learning approach to improve consistency in user-driven medical image analysis. 2019. .
[ bibtex ] [ thesis ]
7
Marius Alexander Sandberg. Music and Sport: An Explorative Study using Unsupervised Machine Learning. 2019. .
[ bibtex ] [ thesis ]
8
Olav Andre Nerg{a}rd Rongved. Automatic event detection in soccer videos. 2020. .
[ bibtex ] [ thesis ]
9
Oda Olsen Nedrejord. Artificial Video Generation for Improved Performance on Polyp Detection. 2020. .
[ bibtex ] [ thesis ]
10
Lars Hoel. Using Soccer Athlete GPS Monitoring Data to Visualize and Predict Features. 2023. .
[ bibtex ] [ thesis ]
11
Robin Rognerud. AI-based clipping of booking events in soccer. 2023. .
[ bibtex ] [ thesis ]
12
Ole Algoritme. Transforming Facial Landmarks for Virtual Avatar Facial Animation. 2023. .
[ bibtex ] [ thesis ]
13
Mathias Menkerud Sagbakken. Using Machine Learning to Predict Elite Female Athletes' Readiness to Play in Soccer. 2023. .
[ bibtex ] [ thesis ]
14
Anna Linnea Jarmann. Identifying Injury Risk Factors for Elite Soccer Teams Using Survival Analysis. 2023. .
[ bibtex ] [ thesis ]
15
Rabindra Khadka. Meta-learning for Medical Image Segmentation. 2021. .
[ bibtex ] [ thesis ]
16
Joakim Olav Valand, and Haris Kadragic. Machine learning-based approach for automated clipping of soccer events-Using scene boundary detection and logo detection. 2021. .
[ bibtex ] [ thesis ]
17
Alexander Klougman Pishva. Exploring the Potential of Diffusion Models in Generating Synthetic Polyps. 2023. .
[ bibtex ] [ thesis ]
18
Felicia Ly Jacobsen. Estimating Predictive Uncertainty in Gastrointestinal Image Segmentation. 2022. .
[ bibtex ] [ thesis ]