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20232026
most citedSurgical-LVLM: Learning to Adapt Large Vision-Language Model for Grounded Visual Question Answering in Robotic Surgery

6 citations · 28 across the 50 of their papers we have counts for

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6 papers · 1 filter

eess.IV2025

SurgTPGS: Semantic 3D Surgical Scene Understanding with Text Promptable Gaussian Splatting

Yiming Huang, Long Bai, Beilei Cui +6

In contemporary surgical research and practice, accurately comprehending 3D surgical scenes with text-promptable capabilities is particularly crucial for surgical planning and real…

eess.IV2024★ 1 cited

Transferring Knowledge from High-Quality to Low-Quality MRI for Adult Glioma Diagnosis

Yanguang Zhao, Long Bai, Zhaoxi Zhang +3

Glioma, a common and deadly brain tumor, requires early diagnosis for improved prognosis. However, low-quality Magnetic Resonance Imaging (MRI) technology in Sub-Saharan Africa (SS…

eess.IV2024

EndoUIC: Promptable Diffusion Transformer for Unified Illumination Correction in Capsule Endoscopy

Long Bai, Tong Chen, Qiaozhi Tan +10

Wireless Capsule Endoscopy (WCE) is highly valued for its non-invasive and painless approach, though its effectiveness is compromised by uneven illumination from hardware constrain…

eess.IV2024★ 1 cited

LighTDiff: Surgical Endoscopic Image Low-Light Enhancement with T-Diffusion

Tong Chen, Qingcheng Lyu, Long Bai +5

Advances in endoscopy use in surgeries face challenges like inadequate lighting. Deep learning, notably the Denoising Diffusion Probabilistic Model (DDPM), holds promise for low-li…

eess.IV2024

EndoDAC: Efficient Adapting Foundation Model for Self-Supervised Depth Estimation from Any Endoscopic Camera

Beilei Cui, Mobarakol Islam, Long Bai +2

Depth estimation plays a crucial role in various tasks within endoscopic surgery, including navigation, surface reconstruction, and augmented reality visualization. Despite the sig…

eess.IV2023

Joint Sparse Representations and Coupled Dictionary Learning in Multi-Source Heterogeneous Image Pseudo-color Fusion

Long Bai, Shilong Yao, Kun Gao +5

Considering that Coupled Dictionary Learning (CDL) method can obtain a reasonable linear mathematical relationship between resource images, we propose a novel CDL-based Synthetic A…