activity
20192025
most citedSinGAN-Seg: Synthetic training data generation for medical image segmentation

126 citations · 238 across the 18 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.CV2022★ 51 cited

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…

eess.IV2022

MLC at HECKTOR 2022: The Effect and Importance of Training Data when Analyzing Cases of Head and Neck Tumors using Machine Learning

Vajira Thambawita, Andrea M. Storås, Steven A. Hicks +2

Head and neck cancers are the fifth most common cancer worldwide, and recently, analysis of Positron Emission Tomography (PET) and Computed Tomography (CT) images has been proposed…

eess.IV2022★ 3 cited

Visual explanations for polyp detection: How medical doctors assess intrinsic versus extrinsic explanations

Steven Hicks, Andrea Storås, Michael Riegler +6

Deep learning has in recent years achieved immense success in all areas of computer vision and has the potential of assisting medical doctors in analyzing visual content for diseas…

cs.CV2022★ 19 cited

Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge

Sharib Ali, Noha Ghatwary, Debesh Jha +29

Polyps are well-known cancer precursors identified by colonoscopy. However, variability in their size, location, and surface largely affect identification, localisation, and charac…

cs.CV2022★ 2 cited

MMSys'22 Grand Challenge on AI-based Video Production for Soccer

Cise Midoglu, Steven A. Hicks, Vajira Thambawita +2

Soccer has a considerable market share of the global sports industry, and the interest in viewing videos from soccer games continues to grow. In this respect, it is important to pr…