activity
20182026
most citedSinGAN-Seg: Synthetic training data generation for medical image segmentation

126 citations · 271 across the 21 of their papers we have counts for

collaborators

24 papers

cs.SD2026

Calliope: A TTS-based Narrated E-book Creator Ensuring Exact Synchronization, Privacy, and Layout Fidelity

Hugo L. Hammer, Vajira Thambawita, Pål Halvorsen

A narrated e-book combines synchronized audio with digital text, highlighting the currently spoken word or sentence during playback. This format supports early literacy and assists…

eess.IV2026

Anatomy-Preserving Latent Diffusion for Generation of Brain Segmentation Masks with Ischemic Infarct

Lucia Borrego, Vajira Thambawita, Marco Ciuffreda +3

The scarcity of high-quality segmentation masks remains a major bottleneck for medical image analysis, particularly in non-contrast CT (NCCT) neuroimaging, where manual annotation…

cs.LG2026★ 1 cited

ECG-IMN: Interpretable Mesomorphic Neural Networks for 12-Lead Electrocardiogram Interpretation

Vajira Thambawita, Jonas L. Isaksen, Jørgen K. Kanters +2

Deep learning has achieved expert-level performance in automated electrocardiogram (ECG) diagnosis, yet the "black-box" nature of these models hinders their clinical deployment. Tr…

cs.CV2025

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…

cs.HC2025

Multimodal Integration Challenges in Emotionally Expressive Child Avatars for Training Applications

Pegah Salehi, Sajad Amouei Sheshkal, Vajira Thambawita +2

Dynamic facial emotion is essential for believable AI-generated avatars, yet most systems remain visually static, limiting their use in simulations like virtual training for invest…

cs.LG2024

Advancing sleep detection by modelling weak label sets: A novel weakly supervised learning approach

Matthias Boeker, Vajira Thambawita, Michael Riegler +2

Understanding sleep and activity patterns plays a crucial role in physical and mental health. This study introduces a novel approach for sleep detection using weakly supervised lea…