126 citations · 308 across the 24 of their papers we have counts for
6 papers · 1 filter
Medico 2025: Visual Question Answering for Gastrointestinal Imaging
Sushant Gautam, Vajira Thambawita, Michael Riegler +2
The Medico 2025 challenge addresses Visual Question Answering (VQA) for Gastrointestinal (GI) imaging, organized as part of the MediaEval task series. The challenge focuses on deve…
VISEM-Tracking, a human spermatozoa tracking dataset
Vajira Thambawita, Steven A. Hicks, Andrea M. Storås +7
A manual assessment of sperm motility requires microscopy observation, which is challenging due to the fast-moving spermatozoa in the field of view. To obtain correct results, manu…
Segmentation Consistency Training: Out-of-Distribution Generalization for Medical Image Segmentation
Birk Torpmann-Hagen, Vajira Thambawita, Kyrre Glette +2
Generalizability is seen as one of the major challenges in deep learning, in particular in the domain of medical imaging, where a change of hospital or in imaging routines can lead…
Grid HTM: Hierarchical Temporal Memory for Anomaly Detection in Videos
Vladimir Monakhov, Vajira Thambawita, Pål Halvorsen +1
The interest for video anomaly detection systems has gained traction for the past few years. The current approaches use deep learning to perform anomaly detection in videos, but th…
Pyramid-Focus-Augmentation: Medical Image Segmentation with Step-Wise Focus
Vajira Thambawita, Steven Hicks, Pål Halvorsen +1
Segmentation of findings in the gastrointestinal tract is a challenging but also an important task which is an important building stone for sufficient automatic decision support sy…
Extracting temporal features into a spatial domain using autoencoders for sperm video analysis
Vajira Thambawita, Pål Halvorsen, Hugo Hammer +2
In this paper, we present a two-step deep learning method that is used to predict sperm motility and morphology-based on video recordings of human spermatozoa. First, we use an aut…