Pål Halvorsen

Scientific publications

Alslie, Joakim Aalstad; Ovesen, Aril Bernhard; Nordmo, Tor-Arne Schmidt; Johansen, Håvard D.; Halvorsen, Pål; Riegler, Michael; Johansen, Dag (2022). Áika: A Distributed Edge System for AI Inference. Big Data and Cognitive Computing .

Jha, Debesh; Rauniyar, Ashish; Johansen, Håvard D.; Johansen, Dag; Riegler, Michael Alexander; Halvorsen, Pål; Bagci, Ulas (2022). Video Analytics in Elite Soccer: A Distributed Computing Perspective. Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop .

Midoglu, Cise; Ragan-Kelley, Benjamin; Reinemo, Sven- Arne; Jahren, Jon; Halvorsen, Pål (2022). Smittestopp Backend. Elmokashfi, Ahmed Mustafa Abdalla; Naumova, Valeriya; Lysne, Olav (Ed.). Smittestopp − A Case Study on Digital Contact Tracing. 3. p. 29-62. Springer.

Thambawita, Vajira L B; Hicks, Steven; Ewan, Jaouen; Halvorsen, Pål; Riegler, Michael (2022). Smittestopp analytics: Analysis of position data. Elmokashfi, Ahmed Mustafa Abdalla; Naumova, Valeriya; Lysne, Olav (Ed.). Smittestopp − A Case Study on Digital Contact Tracing. 4. p. 63-79. Springer.

Salehi, Pegah; Hassan, Syed Zohaib; Lammerse, Myrthe; Shafiee Sabet, Saeed; Riiser, Ingvild; Røed, Ragnhild Klingenberg; Sinkerud Johnson, Miriam; Thambawita, Vajira; Hicks, Steven; Powell, Martine; Lamb, Michael E.; Baugerud, Gunn Astrid; Halvorsen, Pål; Riegler, Michael (2022). Synthesizing a Talking Child Avatar to Train Interviewers Working with Maltreated Children. Big Data and Cognitive Computing . Vol. 6.

Hicks, Steven; Strumke, Inga; Thambawita, Vajira L B; Hammou, Malek; Riegler, Michael; Halvorsen, Pål; Parasa, Sravanthi (2022). On evaluation metrics for medical applications of artificial intelligence. Scientific Reports . Vol. 12.

Jha, Debesh; Riegler, Michael; Johansen, Håvard; Johansen, Dag; Rittscher, Jens; Halvorsen, Pål; Ali, Sharib (2022). FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation. IEEE Transactions on Neural Networks and Learning Systems .

Storås, Andrea; Strumke, Inga; Riegler, Michael Alexander; Grauslund, Jakob; Hammer, Hugo Lewi; Yazidi, Anis; Halvorsen, Pål; Gundersen, Kjell Gunnar; Utheim, Tor Paaske; Jackson, Catherine Joan (2021). Artificial intelligence in dry eye disease. The ocular surface . Vol. 23.

Srivastava, Abhishek; Chanda, Sukalpa; Jha, Debesh; Riegler, Michael; Halvorsen, Pål; Johansen, Dag; Pal, Umapada (2021). PAANet: Progressive Alternating Attention for Automatic Medical Image Segmentation. IEEE, . (Ed.). 4th International Conference on Bio-Engineering for Smart Technologies (BioSMART) : [Proceedings]. Conference paper. IEEE.

Valand, Joakim; Kadragic, Haris; Hicks, Steven; Thambawita, Vajira L B; Midoglu, Cise; Kupka, Tomas; Johansen, Dag; Riegler, Michael; Halvorsen, Pål (2021). Automated Clipping of Soccer Events using Machine Learning. Bulterman, Dick; Kankanhalli, Mohan S.; Muehlhaeuser, Max; Persia, Fabio; Sheu, Phillip; Tsai, Jeffrey J.P. (Ed.). Conference Proceedings: 2021 IEEE International Symposium on Multimedia (ISM). Session 11: Miscellaneous Applications (II). p. 210-214. IEEE.

Jha, Debesh; Yazidi, Anis; Riegler, Michael Alexander; Johansen, Dag; Johansen, Håvard D.; Halvorsen, Pål (2021). LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification. Zhang, Yong; Xu, Yicheng; Tian, Hui (Ed.). Parallel and Distributed Computing, Applications and Technologies: 21st International Conference, PDCAT 2020, Shenzhen, China, December 28–30, 2020, Proceedings. Springer Nature.

Jha, Debesh; Ali, Sharib; Tomar, Nikhil Kumar; Riegler, Michael Alexander; Johansen, Dag; Johansen, Håvard D.; Halvorsen, Pål (2021). Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy. Dimitrios I., Fotiadis; Pattichis, Constantinos S; Wang, May D. (Ed.). 2021 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI). konferanse-artikkel. IEEE.

Tomar, Nikhil Kumar; Jha, Debesh; Ali, Sharib; Johansen, Håvard D.; Johansen, Dag; Riegler, Michael; Halvorsen, Pål (2021). DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation. Del Bimbo, Alberto; Cucchiara, Rita; Sclaroff, Stan; Farinella, Giovanni Maria; Mei, Tao; Bertini, Marco; Escalante, Hugo Jair; Vezzani, Roberto (Ed.). Pattern Recognition. ICPR International Workshops and Challenges. KAPITTEL. p. 307-314. Springer Nature.

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 (2021). Kvasir-Instrument: Diagnostic and Therapeutic Tool Segmentation Dataset in Gastrointestinal Endoscopy. Lokoč, Jakub; Skopal, Tomas; Schoeffmann, Klaus; Mezaris, Vasileios; Li, Xirong; Vrochidis, Stefanos; Patras, Ioannis (Ed.). MultiMedia Modeling: 27th International Conference, MMM 2021, Prague, Czech Republic, June 22–24, 2021, Proceedings, Part II. Kapittel. p. 218-229. Springer.

Srivastava, Abhishek; Jha, Debesh; Chanda, Sukalpa; Pal, Umapada; Johansen, Håvard D.; Johansen, Dag; Riegler, Michael; Ali, Sharib; Halvorsen, Pål (2021). MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation. IEEE journal of biomedical and health informatics .
https://hdl.handle.net/10037/24072

Thambawita, Vajira L B; Strumke, Inga; Hicks, Steven; Halvorsen, Pål; Parasa, Sravanthi; Riegler, Michael (2021). Impact of image resolution on deep learning performance in endoscopy image classification: An experimental study using a large dataset of endoscopic images. Diagnostics (Basel) . Vol. 11.

Thambawita, Vajira L B; Hicks, Steven; Halvorsen, Pål; Riegler, Michael (2021). DivergentNets: Medical Image Segmentation by Network Ensemble. Ali, Sharib; Ghatwary, Noha; Jha, Debesh; Halvorsen, Pål (Ed.). Proceedings of the 3rd International Workshop and Challenge on Computer Vision in Endoscopy (EndoCV 2021). artikkel. p. 27-38.
http://ceur-ws.org/Vol-2886/paper3.pdf

Ali, Sharib; Ghatwary, Noha; Jha, Debesh; Halvorsen, Pål (2021). Proceedings of the 3rd International Workshop and Challenge on Computer Vision in Endoscopy (EndoCV 2021). ISBN: 0000000000000. 110 p.

Boeker, Matthias; Riegler, Michael; Hammer, Hugo Lewi; Halvorsen, Pål; Fasmer, Ole Bernt; Jakobsen, Petter (2021). Diagnosing Schizophrenia from Activity Records using Hidden Markov Model Parameters. Almeida, João Rafael; González, Alejandro Rodríguez; Shen, Linling (Ed.). Proceeding of 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS). Artikkel. IEEE conference proceedings.

Valand, Joakim; Kadragic, Haris; Hicks, Steven; Thambawita, Vajira L B; Midoglu, Cise; Kupka, Tomas; Johansen, Dag; Riegler, Michael; Halvorsen, Pål (2021). AI-Based Video Clipping of Soccer Events. Machine Learning & Knowledge Extraction. Vol. 3.

Rongved, Olav Andre Nergård; Stige, Markus; Hicks, Steven; Thambawita, Vajira L B; Midoglu, Cise; Zouganeli, Evi; Johansen, Dag; Riegler, Michael; Halvorsen, Pål (2021). Automated Event Detection and Classification in Soccer: The Potential of Using Multiple Modalities. Machine Learning & Knowledge Extraction. Vol. 4.

Thambawita, Vajira L B; Isaksen, Jonas L.; Hicks, Steven A.; Ghouse, Jonas; Ahlberg, Gustav; Linneberg, Allan; Grarup, Niels; Ellervik, Christina; Olesen, Morten Salling; Hansen, Torben; Graff, Claus; Holstein-Rathlou, Niels-Henrik; Strümke, Inga; Hammer, Hugo L.; Maleckar, Mary M.; Halvorsen, Pål; Riegler, Michael A.; Kanters, Jørgen K. (2021). DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine. 8 p. Scientific Reports . Vol. 11.
https://hdl.handle.net/10037/24057

Hicks, Steven; Stautland, Andrea; Fasmer, Ole Bernt; Førland, Wenche; Hammer, Hugo Lewi; Halvorsen, Pål; Mjeldheim, Kristin; Ødegaard, Ketil Joachim; Osnes, Berge; Syrstad, Vigdis Elin Giæver; Riegler, Michael; Jakobsen, Petter (2021). HYPERAKTIV: An Activity Dataset from Patients with Attention-Deficit/Hyperactivity Disorder (ADHD). MMSys '21: Proceedings of the 12th ACM Multimedia Systems Conference.

Strumke, Inga; Hicks, Steven; Thambawita, Vajira L B; Jha, Debesh; Parasa, Sravanthi; Riegler, Michael Alexander; Halvorsen, Pål (2021). Artificial Intelligence in Gastroenterology. Niklas, Lidströmer; Hutan, Ashrafian (Ed.). Artificial Intelligence in Medicine. Springer Nature.

Riegler, Michael Alexander; Stensen, Mette Haug; Witczak, Oliwia; Andersen, Jorunn Marie; Hicks, Steven; Hammer, Hugo Lewi; Delbarre, Erwan; Halvorsen, Pål; Yazidi, Anis; Holst, Nicolai; Haugen, Trine B. (2021). Artificial intelligence in the fertility clinic: status, pitfalls and possibilities. Human Reproduction . Vol. 36.
https://hdl.handle.net/10037/23966

Ovesen, Aril Bernhard; Nordmo, Tor-Arne Schmidt; Johansen, Håvard D.; Riegler, Michael Alexander; Halvorsen, Pål; Johansen, Dag (2021). File system support for privacy-preserving analysis and forensics in low-bandwidth edge environments. Information . Vol. 12.
https://hdl.handle.net/10037/23075

Nordmo, Tor-Arne Schmidt; Ovesen, Aril Bernhard; Johansen, Håvard D.; Riegler, Michael Alexander; Halvorsen, Pål; Johansen, Dag (2021). Dutkat: A Multimedia System for Catching Illegal Catchers in a Privacy-Preserving Manner. Dao, Minh-Son; Dang-Nguyen, Duc-Tien; Riegler, Michael (Ed.). ICDAR '21: Proceedings of the 2021 Workshop on Intelligent Cross-Data Analysis and Retrieval. short paper. p. 57-61. ACM Digital Library.

Jha, Debesh; Ali, Sharib; Tomar, Nikhil Kumar; Johansen, Håvard D.; Johansen, Dag; Rittscher, Jens; Riegler, Michael; Halvorsen, Pål (2021). Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning. IEEE Access . Vol. 9.
https://hdl.handle.net/10037/24522

Baugerud, Gunn Astrid; Johnson, Miriam Sinkerud; Røed, Ragnhild Klingenberg; Lamb, Michael E.; Powell, Martine; Thambawita, Vajira L B; Hicks, Steven; Salehi, Pegah; Hassan, Syed Zohaib; Halvorsen, Pål; Riegler, Michael (2021). Multimodal Virtual Avatars for Investigative Interviews with Children. Dao, Minh-Son; Dang-Nguyen, Duc-Tien; Riegler, Michael (Ed.). ICDAR '21: Proceedings of the 2021 Workshop on Intelligent Cross-Data Analysis and Retrieval. Kapittel. p. 2-8. ACM Digital Library.

Rongved, Olav Andre Nergård; Hicks, Steven; Thambawita, Vajira L B; Stensland, Håkon Kvale; Zouganeli, Evi; Johansen, Dag; Riegler, Michael Alexander; Midoglu, Cise; Halvorsen, Pål (2021). Using 3D Convolutional Neural Networks for Real-time Detection of Soccer Events. International Journal of Semantic Computing (IJSC) .
https://hdl.handle.net/10037/24265

Research reports

Thambawita, Vajira; Jha, Debesh; Riegler, Michael; Halvorsen, Pål; Hammer, Hugo Lewi; Johansen, Håvard D.; Johansen, Dag (2018). The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract using Global Features and Deep Learning. 3 p.
https://arxiv.org/abs/1810.13278

Stensland, Håkon Kvale; Halvorsen, Pål; Griwodz, Carsten (2015). Processing Multimedia Workloads on Heterogeneous Multicore Architectures. 300 p.
http://hdl.handle.net/10852/50618

Leister, Wolfgang; Sutinen, Tiia; Boudko, Svetlana; Marsh, Ian; Griwodz, Carsten; Halvorsen, Pål (2010). ADIMUS - Adaptive Internet Multimedia Streaming - Final Project Report. ISBN: 978-82-539-0536-5. 36 p.
http://publications.nr.no/5335/Leister_-_ADIMUS_-_...

Halvorsen, Pål; Griwodz, Carsten; Goebel, Vera Hermine; Plagemann, Thomas Peter (2003). Storage System Support for Multimedia Applications", Research Report No. 307,. ISBN: 82-7368-259-5. 18 p. Universitetet i Oslo.

Dissemination

Nordmo, Tor-Arne Schmidt; Ovesen, Aril Bernhard; Juliussen, Bjørn Aslak; Hicks, Steven A.; Thambawita, Vajira; Johansen, Håvard D.; Halvorsen, Pål; Riegler, Michael; Johansen, Dag (2022). Njord: A Fishing Trawler Dataset. MMsys 2022.

Nordmo, Tor-Arne Schmidt; Ovesen, Aril Bernhard; Juliussen, Bjørn Aslak; Hicks, Steven A.; Thambawita, Vajira; Johansen, Håvard D.; Halvorsen, Pål; Riegler, Michael; Johansen, Dag (2022). Njord: A Fishing Trawler Dataset. MMsys 2022.

Røed, Ragnhild Klingenberg; Hassan, Syed Zohaib; Salehi, Pegah; Saaed, Shafiee Sabet; Powell, Martine; Lamb, Michael E.; Riegler, Michael A.; Johnson, Miriam S.; Halvorsen, Pål; Baugerud, Gunn Astrid (2022). Investigative Interview Training using an AI-Driven Talking Avatar. iIIRG 2022. International Investigative Interviewing Research Group.

Røed, Ragnhild Klingenberg; Sinkerud Johnson, Miriam; Baugerud, Gunn Astrid; Hassan, Syed Zohaib; Shafiee Sabet, Saeed; Salehi, Pegah; Halvorsen, Pål; Riegler, Michael; Lammerse, Myrthe (2022). Ferdighetstrening i avhørsmetode for å fremme avdekking av overgrep mot barn - presentasjon av en forskningsbasert dynamisk AI-drevet barne-avatar. Barnehuskonferansen 2022. Statens barnehus ved Troms politidistrikt.

Baugerud, Gunn Astrid; Powell, Martine; Riegler, Michael A.; Halvorsen, Pål; Lamb, Michael E.; Shafiee Sabet, Saaed; Hassan, Syed Zohaib; Salehi, Pegah; Røed, Ragnhild Klingenberg; Johnson, Miriam S. (2022). Investigative Interviews using a Multimodal Virtual Avatar. American Psychology-Law Society Annual Conference (AP-LS). AP-LS 2022.

Hicks, Steven A.; Jha, Debesh; Thambawita, Vajira L B; Hammer, Hugo Lewi; de Lange, Thomas; Parasa, Sravanthi; Riegler, Michael; Halvorsen, Pål (2021). Medico Multimedia Task at MediaEval 2021: Transparency in Medical Image Segmentation. MediaEval Medico 2021. MediaEval 2021.

Thambawita, Vajira L B; Strumke, Inga; Hicks, Steven; Riegler, Michael Alexander; Halvorsen, Pål; Parasa, Sravanthi (2021). ID: 3523524 DATA AUGMENTATION USING GENERATIVE ADVERSARIAL NETWORKS FOR CREATING REALISTIC ARTIFICIAL COLON POLYP IMAGES: VALIDATION STUDY BY ENDOSCOPISTS. Gastrointestinal Endoscopy . Vol. 93.

Thambawita, Vajira L B; Hicks, Steven; Strumke, Inga; Riegler, Michael Alexander; Halvorsen, Pål; Parasa, Sravanthi (2021). Fr615 IMPACT OF IMAGE RESOLUTION ON CONVOLUTIONAL NEURAL NETWORKS PERFORMANCE IN GASTROINTESTINAL ENDOSCOPY. Gastroenterology . Vol. 160.

Valand, Joakim; Kadragic, Haris; Hicks, Steven; Thambawita, Vajira L B; Midoglu, Cise; Kupka, Tomas; Johansen, Dag; Riegler, Michael; Halvorsen, Pål (2021). Automated Clipping of Soccer Events using Machine Learning. ISM 2021 : 23rd IEEE International Symposium on Multimedia.

Tomar, Nikhil Kumar; Jha, Debesh; Ali, Sharib; Johansen, Håvard D.; Johansen, Dag; Riegler, Michael; Halvorsen, Pål (2021). DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation. ICPR 2021: Pattern Recognition. ICPR International Workshops and Challenges. IAPR.

Srivastava, Abhishek; Chanda, Sukalpa; Jha, Debesh; Riegler, Michael; Halvorsen, Pål; Johansen, Dag; Umapada, Pal (2021). PAANet: Progressive Alternating Attention for Automatic Medical Image Segmentation. IEEE Biosmart 2021. IEEE Biosmart.

Hicks, Steven; Jha, Debesh; Thambawita, Vajira L B; Halvorsen, Pål; Singstad, Bjørn Jostein; Gaur, Sachin; Pettersen, Klas; Goodwin, Morten; Parasa, Sravanthi; de Lange, Thomas; Riegler, Michael Alexander (2021). MedAI: Transparency in Medical Image Segmentation. Nordic Machine Intelligence (NMI). Vol. 1.

Strumke, Inga; Hicks, Steven; Thambawita, Vajira L B; Jha, Debesh; Parasa, Sravanthi; Riegler, Michael Alexander; Halvorsen, Pål (2021). Artificial Intelligence in Gastroenterology. Niklas, Lidströmer; Hutan, Ashrafian (Ed.). Artificial Intelligence in Medicine. ?. Springer Nature.

Jha, Debesh; Ali, Sharib; Tomar, Nikhil Kumar; Johansen, Håvard D.; Johansen, Dag; Riegler, Michael; Halvorsen, Pål (2021). Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy. 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI). IEEE BHI.
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&ar...

Tomar, Nikhil Kumar; Ibtehaz, Nabil; Jha, Debesh; Halvorsen, Pål; Ali, Sharib (2021). Improving generalizability in polyp segmentation using ensemble convolutional neural network. 3rd International Workshop and Challenge on Computer Vision in Endoscopy. IEEE International Symposium on Biomedical Imaging ISBI2021.

Jha, Debesh; Tomar, Nikhil Kumar; Ali, Sharib; Riegler, Michael A.; Johansen, Håvard D.; Lange, Thomas de; Halvorsen, Pål (2021). NanoNet: Real-Time Polyp Segmentation in VideoCapsule Endoscopy and Colonoscopy. 34th International Symposium on Computer-Based Medical Systems. IEEE CBMS.

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 (2021). Kvasir-Instrument: Diagnostic and Therapeutic Tool Segmentation Dataset in Gastrointestinal Endoscopy. International Conference on Multimedia Modeling. MMM 2021.

Jha, Debesh; Yazidi, Anis; Riegler, Michael Alexander; Johansen, Dag; Johansen, Håvard D.; Halvorsen, Pål (2020). LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification. The 21st International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT'20). PDCAT-PAAP.

Johansen, Håvard D.; Johansen, Dag; Kupka, Tomas; Riegler, Michael; Halvorsen, Pål (2020). Scalable Infrastructure for Efficient Real-Time Sports Analytics. 1st Workshop on Action Modelling for Interaction and Analysis in Smart Sports and Physical Education (MAIStroPE). ACM.

Jha, Debesh; Pia H, Smedsrud; Riegler, Michael; Halvorsen, Pål; de Lange, Thomas; Johansen, Dag; Johansen, Håvard D. (2020). Kvasir-SEG: A Segmented Polyp Dataset. MMM 2020: International Conference on Multimedia Modeling.

Jha, Debesh; Smedsrud, Pia; Riegler, Michael; Johansen, Dag; de Lange, Thomas; Halvorsen, Pål; Johansen, Håvard D. (2019). ResUNet++: An Advanced Architecture for Medical Image Segmentation. 21st IEEE International Symposium on ​ Multimedia. IEEE.

Piras, Luca; Caputo, Barbara; Dang-Nguyen, Duc-Tien; Riegler, Michael; Halvorsen, Pål (2019). Image retrieval evaluation in specific domains. Ferro, Nicola; Peters, Carol (Ed.). Information retrieval evaluation in a changing World : Lessons learned from 20 years of CLEF. Chapter. Springer.

Riegler, Michael; de Lange, Thomas; Smedsrud, Pia H; Halvorsen, Pål (2019). Maskinlæringssystemer for gastrointestinale endoskopier. Best Practice Nordic.

Borgli, Rune Johan; Pogorelov, Konstantin; Riegler, Michael; Markussen, Jonas Sæther; Stensland, Håkon Kvale; Halvorsen, Pål; Griwodz, Carsten; Eskeland, Sigrun Losada; de Lange, Thomas (2019). Efficient Processing of Medical Videos in a Multi-auditory Environment Using Gpu Lending. Nvidia GPU Technology Conference 2019.

Smedsrud, Pia H; Riegler, Michael; de Lange, Thomas; Petlund, Andreas; Eskeland, Sigrun Losada; Halvorsen, Pål (2019). Kunstig intelligens for endoskopi - Automatisk deteksjon av lesjoner i sanntid. NGF-nytt. Vol. 26.

Nordskog, Aanund Jupskaas; Halvorsen, Pål; Hicks, Steven; Stensland, Haakon; Hammer, Hugo Lewi; Johansen, Dag; Riegler, Michael (2019). Semantic Analysis of Soccer News for Automatic Game Event Classification. CBMI 2019: International Conference on Content-Based Multimedia Indexing.

Wiik, Theodor; Johansen, Håvard D.; Pettersen, Svein Arne; Baptista, Ivan; Kupka, Tomas; Johansen, Dag; Riegler, Michael; Halvorsen, Pål (2019). Predicting Peek Readiness-to-Train of Soccer Players Using Long Short-Term Memory Recurrent Neural Networks. CBMI 2019: International Conference on Content-Based Multimedia Indexing.

Andreassen, Kim; Johansen, Dag; Johansen, Håvard D.; Baptista, Ivan; Pettersen, Svein Arne; Riegler, Micheal; Halvorsen, Pål (2019). Real-time Analysis of Physical Performance Parameters in Elite Soccer. CBMI 2019: International Conference on Content-Based Multimedia Indexing.

de Lange, Thomas; Halvorsen, Pål; Riegler, Michael (2018). Methodology to develop machine learning algorithms to improve performance in gastrointestinal endoscopy. World Journal of Gastroenterology (WJG) . Vol. 24.
https://www.wjgnet.com/1007-9327/full/v24/i45/5057...

Pogorelov, Konstantin; Albisser, Zeno; Ostroukhova, Olga; Lux, Mathias; Johansen, Dag; Halvorsen, Pål; Riegler, Michael (2018). Opensea: Open Search Based Classification Tool. 9th ACM Multimedia Systems Conference.