Trine B. Haugen

Orcid: 0000-0002-8814-3393

According to our database1, Trine B. Haugen authored at least 16 papers between 2019 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022

VISEM-Tracking: Human Spermatozoa Tracking Dataset.
CoRR, 2022

Automatic Unsupervised Clustering of Videos of the Intracytoplasmic Sperm Injection (ICSI) Procedure.
Proceedings of the Nordic Artificial Intelligence Research and Development, 2022

Detecting Human Embryo Cleavage Stages Using YOLO V5 Object Detection Algorithm.
Proceedings of the Nordic Artificial Intelligence Research and Development, 2022

Explainable Artificial Intelligence for Human Embryo Cell Cleavage Stages Analysis.
Proceedings of the ICDAR@ICMR 2022: Proceedings of the 3rd ACM Workshop on Intelligent Cross-Data Analysis and Retrieval, Newark, NJ, USA, June 27, 2022

Medico Multimedia Task at MediaEval 2022: Transparent Tracking of Spermatozoa.
Proceedings of the Working Notes Proceedings of the MediaEval 2022 Workshop, 2022

2020
ACM Multimedia BioMedia 2020 Grand Challenge Overview.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2019
Machine Learning-Based Analysis of Sperm Videos and Participant Data for Male Fertility Prediction.
CoRR, 2019

VISEM: a multimodal video dataset of human spermatozoa.
Proceedings of the 10th ACM Multimedia Systems Conference, 2019


Extracting Temporal Features into a Spatial Domain Using Autoencoders for Sperm Video Analysis.
Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019

Stacked Dense Optical Flows and Dropout Layers to Predict Sperm Motility and Morphology.
Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019

Using 2D and 3D Convolutional Neural Networks to Predict Semen Quality.
Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019

Using Deep Learning to Predict Motility and Morphology of Human Sperm.
Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019

Predicting Sperm Motility and Morphology Using Deep Learning and Handcrafted Features.
Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019

Medico Multimedia Task at MediaEval 2019.
Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019


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