The Fully Convolutional Transformer for Medical Image Segmentation. - Athanasios Tragakis; Chaitanya Kaul; Roderick Murray-Smith; Dirk Husmeier (WACV, 2023)

Glfnet: Global-Local (Frequency) Filter Networks for Efficient Medical Image Segmentation. - Athanasios Tragakis; Qianying Liu; Chaitanya Kaul; Swalpa Kumar Roy; Hang Dai; Fani Deligianni; Roderick Murray-Smith; Daniele Faccio (ISBI, 2024)

Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models. - Athanasios Tragakis; Marco Aversa; Chaitanya Kaul; Roderick Murray-Smith; Daniele Faccio (NeurIPS, 2024)

AI-Enabled Sensor Fusion of Time-of-Flight Imaging and mmWave for Concealed Metal Detection. - Chaitanya Kaul; Kevin J. Mitchell; Khaled Kassem; Athanasios Tragakis; Valentin Kapitany; Ilya Starshynov; Federica A. Villa; Roderick Murray-Smith; Daniele Faccio (Sensors, 2024)

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution. - Athanasios Tragakis; Chaitanya Kaul; Kevin J. Mitchell; Hang Dai; Roderick Murray-Smith; Daniele Faccio (CoRR, 2025)