collaborators

7 papers

cs.CV2026

Chain of Flow: ECG-Conditioned 4D Cardiac Cine Generation from Patient-Specific Anatomical Anchor

Haofan Wu, Nay Aung, Theodoros N. Arvanitis +3

Cardiac cine magnetic resonance imaging (MRI) is central to functional cardiac assessment, yet a full current cine sequence may not always be directly available at the point of ana…

cs.CV2026

Hi-GaTA: Hierarchical Gated Temporal Aggregation Adapter for Surgical Video Report Generation

Kedi Sun, Chaohui Dang, Yue Feng +3

Automated, clinician-grade assessment reports for surgical procedures could reduce documentation burden and provide objective feedback, yet remain challenging due to the difficulty…

cs.CL2026

ReportMedSAM: Guiding Segmentation Through Radiology Reports

Anghong Du, Theodoros N. Arvanitis, Colin Watts +2

Free-form radiology reports contain rich clinical descriptions, yet converting them for reliable segmentation remains challenging due to the inherent variability of natural languag…

eess.IV2026

Exploiting Completeness Perception with Diffusion Transformer for Unified 3D MRI Synthesis

Junkai Liu, Nay Aung, Theodoros N. Arvanitis +3

Missing data problems, such as missing modalities in multi-modal brain MRI and missing slices in cardiac MRI, pose significant challenges in clinical practice. Existing methods rel…

eess.IV2025

SAGCNet: Spatial-Aware Graph Completion Network for Missing Slice Imputation in Population CMR Imaging

Junkai Liu, Nay Aung, Theodoros N. Arvanitis +4

Magnetic resonance imaging (MRI) provides detailed soft-tissue characteristics that assist in disease diagnosis and screening. However, the accuracy of clinical practice is often h…

cs.CV2025

RefineSeg: Dual Coarse-to-Fine Learning for Medical Image Segmentation

Anghong Du, Nay Aung, Theodoros N. Arvanitis +4

High-quality pixel-level annotations of medical images are essential for supervised segmentation tasks, but obtaining such annotations is costly and requires medical expertise. To…