Trine B. Haugen

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 17

Top Topics

Grand Challenge

Top Venues

Publications

Akriti Sharma, Mette H. Stensen, Erwan Delbarre, Trine B. Haugen, Hugo Lewi Hammer
Explainable Artificial Intelligence for Human Embryo Cell Cleavage Stages Analysis. ICDAR@ICMR (2022)
Akriti Sharma, Mette H. Stensen, Erwan Delbarre, Momin Siddiqui, Trine B. Haugen, Michael A. Riegler, Hugo Lewi Hammer
Detecting Human Embryo Cleavage Stages Using YOLO V5 Object Detection Algorithm. NAIS (2022)
Vajira Thambawita, Steven Hicks, Andrea M. Storås, Jorunn M. Andersen, Oliwia Witczak, Trine B. Haugen, Hugo Hammer, Thu Nguyen, Pål Halvorsen, Michael Riegler
Medico Multimedia Task at MediaEval 2022: Transparent Tracking of Spermatozoa. MediaEval (2022)
Vajira Thambawita, Steven Alexander Hicks, Andrea M. Storås, Thu Nguyen, Jorunn M. Andersen, Oliwia Witczak, Trine B. Haugen, Hugo Lewi Hammer, Pål Halvorsen, Michael A. Riegler
VISEM-Tracking: Human Spermatozoa Tracking Dataset. CoRR (2022)
Andrea M. Storås, Michael A. Riegler, Trine B. Haugen, Vajira Thambawita, Steven Alexander Hicks, Hugo Lewi Hammer, Radhika Kakulavarapu, Pål Halvorsen, Mette H. Stensen
Automatic Unsupervised Clustering of Videos of the Intracytoplasmic Sperm Injection (ICSI) Procedure. NAIS (2022)
Steven Alexander Hicks, Vajira Thambawita, Hugo Lewi Hammer, Trine B. Haugen, Jorunn M. Andersen, Oliwia Witczak, Pål Halvorsen, Michael A. Riegler
ACM Multimedia BioMedia 2020 Grand Challenge Overview. ACM Multimedia (2020)
Vajira Thambawita, Pål Halvorsen, Hugo Hammer, Michael Riegler, Trine B. Haugen
Stacked Dense Optical Flows and Dropout Layers to Predict Sperm Motility and Morphology. MediaEval (2019)
Vajira Thambawita, Pål Halvorsen, Hugo Hammer, Michael Riegler, Trine B. Haugen
Extracting temporal features into a spatial domain using autoencoders for sperm video analysis. CoRR (2019)
Vajira Thambawita, Pål Halvorsen, Hugo Hammer, Michael Riegler, Trine B. Haugen
Extracting Temporal Features into a Spatial Domain Using Autoencoders for Sperm Video Analysis. MediaEval (2019)
Steven Alexander Hicks, Pål Halvorsen, Trine B. Haugen, Jorunn M. Andersen, Oliwia Witczak, Konstantin Pogorelov, Hugo Lewi Hammer, Duc-Tien Dang-Nguyen, Mathias Lux, Michael Riegler
Medico Multimedia Task at MediaEval 2019. MediaEval (2019)
Steven Alexander Hicks, Trine B. Haugen, Pål Halvorsen, Michael Riegler
Using Deep Learning to Predict Motility and Morphology of Human Sperm. MediaEval (2019)
Jon-Magnus Rosenblad, Steven Alexander Hicks, Håkon Kvale Stensland, Trine B. Haugen, Pål Halvorsen, Michael Riegler
Using 2D and 3D Convolutional Neural Networks to Predict Semen Quality. MediaEval (2019)
Vajira Thambawita, Pål Halvorsen, Hugo Hammer, Michael Riegler, Trine B. Haugen
Stacked dense optical flows and dropout layers to predict sperm motility and morphology. CoRR (2019)
Trine B. Haugen, Steven Alexander Hicks, Jorunn M. Andersen, Oliwia Witczak, Hugo Lewi Hammer, Rune Johan Borgli, Pål Halvorsen, Michael Riegler
VISEM: a multimodal video dataset of human spermatozoa. MMSys (2019)
Steven Alexander Hicks, Michael Riegler, Pia H. Smedsrud, Trine B. Haugen, Kristin Ranheim Randel, Konstantin Pogorelov, Håkon Kvale Stensland, Duc-Tien Dang-Nguyen, Mathias Lux, Andreas Petlund, Thomas de Lange, Peter Thelin Schmidt, Pål Halvorsen
ACM Multimedia BioMedia 2019 Grand Challenge Overview. ACM Multimedia (2019)
Steven Alexander Hicks, Jorunn M. Andersen, Oliwia Witczak, Vajira Thambawita, Pål Halvorsen, Hugo Lewi Hammer, Trine B. Haugen, Michael A. Riegler
Machine Learning-Based Analysis of Sperm Videos and Participant Data for Male Fertility Prediction. CoRR (2019)
Steven Alexander Hicks, Pål Halvorsen, Trine B. Haugen, Jorunn M. Andersen, Oliwia Witczak, Konstantin Pogorelov, Hugo Lewi Hammer, Duc-Tien Dang-Nguyen, Mathias Lux, Michael Riegler
Predicting Sperm Motility and Morphology Using Deep Learning and Handcrafted Features. MediaEval (2019)