AGCN: Adversarial Graph Convolutional Network for 3D Point Cloud Segmentation. - Seunghoi Kim; Daniel C. Alexander (BMVC, 2021)

A 3D Conditional Diffusion Model for Image Quality Transfer - An Application to Low-Field MRI. - Seunghoi Kim; Henry F. J. Tregidgo; Ahmed Karam Eldaly; Matteo Figini; Daniel C. Alexander (CoRR, 2023)

Tackling Structural Hallucination in Image Translation with Local Diffusion. - Seunghoi Kim; Chen Jin; Tom Diethe; Matteo Figini; Henry F. J. Tregidgo; Asher Mullokandov; Philip Teare; Daniel C. Alexander (ECCV (81), 2024)

DARES: Depth Anything in Robotic Endoscopic Surgery with Self-supervised Vector-LoRA of the Foundation Model. - Mona Sheikh Zeinoddin; Chiara Lena; Jiongqi Qu; Luca Carlini; Mattia Magro; Seunghoi Kim; Elena De Momi; Sophia Bano; Matthew Grech-Sollars; Evangelos B. Mazomenos; Daniel C. Alexander; Danail Stoyanov; et al. (ECCV Workshops (11), 2024)

Tackling Hallucination from Conditional Models for Medical Image Reconstruction with DynamicDPS. - Seunghoi Kim; Henry F. J. Tregidgo; Matteo Figini; Chen Jin; Sarang Joshi; Daniel C. Alexander (CoRR, 2025)