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20232026
most citedZS-SRT: An Efficient Zero-Shot Super-Resolution Training Method for Neural Radiance Fields

14 citations · 31 across the 25 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

eess.IV2026

MedGSSR: Generalizable Medical Image Super-Resolution 3D Reconstruction via Hierarchical Feed-forward Gaussian Splatting

Chengkai Wang, Luoyu Hong, Yiting Zhao +7

High-resolution volumetric medical imaging is critical for clinical diagnosis, yet acquisition is often limited by scanner hardware, scan time, and for CT, radiation dose. Medical…

cs.CV2026

MorVess: Morphology-Aware Pulmonary Vessel Segmentation Network

Fuyou Mao, Yifei Chen, Beining Wu +9

Accurate pulmonary vessel segmentation remains challenging due to the sparse, tortuous, and multi-scale nature of vascular structures, where small branches are easily lost and topo…

cs.CV2026

GLeVE: Graph-Guided Lesion Grounding with Proposal Verification in 3D CT

Shuo Jiang, Yuhao Hong, Chunbo Jiang +9

Grounding radiology report descriptions to 3D CT volumes is essential for verifiable clinical interpretation, yet remains challenging due to the semantic-spatial gap between free-t…

cs.CV2026

R2AoP: Reliable and Robust Angle of Progression Estimation from Intrapartum Ultrasound

Yuanhan Wang, Yifei Chen, Beining Wu +7

Accurate estimation of the Angle of Progression (AoP) from intrapartum transperineal ultrasound is critical for objective assessment of labor progression, yet remains highly sensit…

cs.CV2026

SR3R: Rethinking Super-Resolution 3D Reconstruction With Feed-Forward Gaussian Splatting

Xiang Feng, Xiangbo Wang, Tieshi Zhong +7

3D super-resolution (3DSR) aims to reconstruct high-resolution (HR) 3D scenes from low-resolution (LR) multi-view images. Existing methods rely on dense LR inputs and per-scene opt…