Hugo Lewi Hammer

Vitenskapelige publikasjoner

Duric, Adrian; Tørresen, Jim; Riegler, Michael ; Hammer, Hugo Lewi (2025). Explanation Supported Learning: Improving Prediction Performance with Explainable Artificial Intelligence. 8 s. IEEE International Symposium on Computer-Based Medical Systems.
https://doi.org/10.1109/CBMS65348.2025.00125

Papachrysos, Nikolaos; Smedsrud, Pia Helen; Ånonsen, Kim Vidar; Berstad, Tor Jan; Espeland, Håvard; Petlund, Andreas; Hedenström, Per; Halvorsen, Pål ; Varkey, Jonas; Hammer, Hugo Lewi ; Riegler, Michael Alexander ; de Lange, Thomas (2025). A comparative study benchmarking colon polyp with computer-aided detection (CADe) software. DEN Open. Vol. 5.
https://doi.org/10.1002/deo2.70061

Thune, Noora Helene; Kristensen, Anna Tostrup; Sehic, Amer; Brox, Julie Marie Haabeth; Utheim, Tor Paaske ; Hammer, Hugo Lewi ; Khan, Qalbi (2025). Comparing the Effectiveness of Human Extracted Teeth and Plastic Teeth in Teaching Dental Anatomy. Dentistry Journal. Vol. 13.
https://doi.org/10.3390/dj13030105

Sharma, Akriti; Dorobanţiu, Alexandru; Ali, Saquib; Iliceto, Mario; Stensen, Mette Haug; Delbarre, Erwan ; Riegler, Michael Alexander ; Hammer, Hugo Lewi (2024). Deep learning methods to forecasting human embryo development in time-lapse videos. bioRxiv.
https://doi.org/10.1101/2024.03.04.583269

Svennevik, Hanna; Hicks, Steven; Riegler, Michael ; Storelvmo, Trude; Hammer, Hugo Lewi (2024). A dataset for predicting cloud cover over Europe. Scientific Data. Vol. 11.
https://doi.org/10.1038/s41597-024-03062-0

Vo, Minh-Quan; Nguyen, Thu; Riegler, Michael ; Hammer, Hugo Lewi (2024). Efficient Estimation of Generative Models Using Tukey Depth. 16 s. Algorithms. Vol. 17.
https://doi.org/10.3390/a17030120

Tveter, Mats; Tveitstøl, Thomas; Nygaard, Tønnes; Pérez Teseyra, Ana Silvina; Kulashekhar, Shrikanth; Bruña, Ricardo; Hammer, Hugo Lewi ; Hatlestad-Hall, Christoffer; Haraldsen, Ira Hebold (2024). EEG electrodes and where to find them: automated localization from 3D scans. Journal of Neural Engineering. Vol. 21.
https://doi.org/10.1088/1741-2552/ad7c7e

Storås, Andrea; Mæland, Steffen; Isaksen, Jonas L; Hicks, Steven Alexander; Thambawita, Vajira L B; Graff, Claus; Hammer, Hugo Lewi ; Halvorsen, Pål ; Riegler, Michael Alexander ; Kanters, Jørgen K (2024). Evaluating gradient-based explanation methods for neural network ECG analysis using heatmaps. 9 s. JAMIA Journal of the American Medical Informatics Association. Vol. 32.
https://doi.org/10.1093/jamia/ocae280

Sheshkal, Sajad Amouei; Gundersen, Morten Pensgård; Riegler, Michael ; Utheim, Øygunn Aass; Gunnar Gundersen, Kjell; Rootwelt, Helge; Elgstøen, Katja B. Prestø; Hammer, Hugo Lewi (2024). Classifying Dry Eye Disease Patients from Healthy Controls Using Machine Learning and Metabolomics Data. Diagnostics (Basel). Vol. 14.
https://doi.org/10.3390/diagnostics14232696

Boeker, Matthias; Swarbrick, Dana; Côté-Allard, Ulysse; Riegler, Michael ; Halvorsen, Pål ; Hammer, Hugo Lewi (2024). Predictive Modelling of Muscle Fatigue in Climbing. Lienhart, Rainer; Moeslund, Thomas B.; Saito, Hideo (Red.). MMSports '24: Proceedings of the 7th ACM International Workshop on Multimedia Content Analysis in Sports. s. 7-15. Association for Computing Machinery (ACM).
https://doi.org/10.1145/3689061.3689066

Forskningsrapporter

Hammer, Hugo Lewi ; Riegler, Michael Alexander ; Delbarre, Erwan ; Stensen, Mette Haug; Sharma, Akriti (2025). Application of Artificial Intelligence in Assisted Reproductive Technology. OsloMet - storbyuniversitetet.

Pontes Filho, Sidney; Nichele, Stefano ; Yazidi, Anis ; Zhang, Jianhua ; Hammer, Hugo Lewi ; Sandvig, Ioanna; Tufte, Gunnar (2023). Optimization of dynamical systems towards criticality and intelligent behavior. ISBN: 978-82-326-6953-0. 179 s. Norges teknisk-naturvitenskapelige universitet.

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 s. MediaEval 2018, arXiv:1810.13278, Cornell University.

Hammer, Hugo Lewi ; Haugan, John (2013). Matematikk og beregninger. 350 s. Høgskolen i Oslo og Akershus.

Mørken, Knut Martin; Simonsen, Ingve; Malthe-Sørensen, Anders; Hammer, Hugo Lewi ; Løyning, Terje Brinck; Vatne, Jon Eivind; Nøst, Elisabeth; Dahl, Lars Oswald; Sasaki, nina (2011). Beregninsorientert utdanning: En veileder for universiteter og høgskoler i Norge. 34 s. Universitetet i Oslo.

Mørken, Knut Martin; Malthe-Sørensen, Anders; Simonsen, Ingve; Hammer, Hugo Lewi ; Vatne, Jon Eivind; Nøst, Elisabeth; Løyning, Terje Brinck; Dahl, Lars Oswald; Sasaki, Nina (2011). Computing in Science Education. A guide for universities and colleges in Norway. 34 s. Universitetet i Oslo.

Hammer, Hugo Lewi (2008). Topics in stochastic simulation, with an application to seismic inversion. NTNU-trykk.

Formidling

Papachrysos, Nikolaos; Smedsrud, Pia Helen; Ånonsen, Kim Vidar; Berstad, Tor Jan; Espeland, Håvard; Petlund, Andreas; Hedenström, Per; Halvorsen, Pål ; Varkey, Jonas; Hammer, Hugo Lewi ; Riegler, Michael ; de Lange, Thomas (2024). A comparative study benchmarking colon polyp detection with CADe software. Endoscopy. Vol. S02.
https://doi.org/10.1055/s-0044-1782889

Storås, Andrea; Fineide, Fredrik; Hammer, Hugo Lewi ; Khan, Ayyad Ahmad Zartasht; Magnø, Morten Schjerven; Chen, Xiangjun; Halvorsen, Pål ; Utheim, Tor Paaske ; Riegler, Michael Alexander (2023). Using explainable artificial intelligence (XAI) to explore factors affecting meibomian gland (MG) dropout. Investigative Ophthalmology and Visual Science.

Fineide, Fredrik; Storås, Andrea; Magnø, Morten Schjerven; Hammer, Hugo Lewi ; Chen, Xiangjun; Khan, Ayyad Ahmad Zartasht; Halvorsen, Pål ; Utheim, Tor Paaske ; Riegler, Michael Alexander (2023). Predicting the degree of meibomian gland dropout with artificial intelligence. Investigative Ophthalmology and Visual Science.

Thambawita, Vajira L B; Hicks, Steven; Storås, Andrea; Andersen, Jorunn Marie ; Witczak, Oliwia ; Haugen, Trine B. ; Hammer, Hugo Lewi ; Nguyen, Thu; Halvorsen, Pål ; Riegler, Michael Alexander (2023). Medico Multimedia Task at MediaEval 2022: Transparent Tracking of Spermatozoa. CEUR Workshop Proceedings.
https://2022.multimediaeval.com/paper5501.pdf

Thambawita, Vajira; Hicks, Steven A.; Storås, Andrea; Andersen, Jorunn Marie ; Witczak, Oliwia ; Nguyen, Thu; Haugen, Trine B. ; Hammer, Hugo Lewi ; Riegler, Michael ; Halvorsen, Pål (2023). Medico multimedia task at MedialEval: transparent tracking of spermatozoa. 22nd European Testis Workshop. European Testis Workshops/EMBO.

Sharma, Akriti; Kakulavarapu, Radhika; Thambawita, Vajira L B; Siddiqui, M.; Delbarre, Erwan ; Riegler, Michael; Hammer, Hugo Lewi ; Stensen, Mette Haug (2022). Automating tracking of cell division for human embryo development in time lapse videos. Human Reproduction. Vol. 37.
https://doi.org/10.1093/humrep/deac107.233

Hicks, Steven; Thambawita, Vajira L B; Storås, Andrea; Haugen, Trine B. ; Hammer, Hugo Lewi ; Halvorsen, Pål ; Riegler, Michael Alexander ; Stensen, Mette Haug (2022). P-272 Automatic Tracking of the ICSI procedure using Deep Learning. Human Reproduction. Vol. 37.
https://doi.org/10.1093/humrep/deac107.261

Thambawita, Vajira L B; Hicks, Steven; Storås, Andrea; Witczak, Oliwia ; Andersen, Jorunn Marie ; Hammer, Hugo Lewi ; Halvorsen, Pål ; Riegler, Michael Alexander ; Haugen, Trine B. (2022). P-108 Real-time deep learning based multi object tracking of spermatozoa in fresh samples. Human Reproduction.
https://doi.org/10.1093/humrep/deac107.104

Thambawita, Vajira L B; Haugen, Trine B. ; Stensen, Mette Haug; Witczak, Oliwia ; Hammer, Hugo Lewi ; Halvorsen, Pål ; Riegler, Michael A. (2021). Identification of spermatozoa by unsupervised learning from video data. ESHRE virtual 37th Annual Meeting. European Society of Human Reproduction and Embryology.

Sharma, Akriti; Haugen, Trine B. ; Hammer, Hugo Lewi ; Riegler, Michael A.; Stensen, Mette Haug (2021). Towards better explainable deep learning models for embryo selection in ART. ESHRE virtual 37th Annual Meeting. European Society of Human Reproduction and Embryology.