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20232026
most citedSurgical SAM 2: Real-time Segment Anything in Surgical Video by Efficient Frame Pruning

7 citations · 24 across the 16 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

eess.IV2024★ 1 cited

HCL-Diff: Hybrid conditional latent diffusion with high frequency enhancement for CBCT-to-CT synthesis

Shi Yin, Hongqi Tan, Li Ming Chong +6

Background: Cone-beam computed tomography (CBCT) plays a crucial role in image-guided radiotherapy, but artifacts and noise make them unsuitable for accurate dose calculation. Arti…

cs.CV2024★ 7 cited

Surgical SAM 2: Real-time Segment Anything in Surgical Video by Efficient Frame Pruning

Haofeng Liu, Erli Zhang, Junde Wu +2

Surgical video segmentation is a critical task in computer-assisted surgery and is vital for enhancing surgical quality and patient outcomes. Recently, the Segment Anything Model 2…

cs.CV2024★ 2 cited

MGI: Multimodal Contrastive pre-training of Genomic and Medical Imaging

Jiaying Zhou, Mingzhou Jiang, Junde Wu +3

Medicine is inherently a multimodal discipline. Medical images can reflect the pathological changes of cancer and tumors, while the expression of specific genes can influence their…

cs.CV2024

Not just Birds and Cars: Generic, Scalable and Explainable Models for Professional Visual Recognition

Junde Wu, Jiayuan Zhu, Min Xu +1

Some visual recognition tasks are more challenging then the general ones as they require professional categories of images. The previous efforts, like fine-grained vision classific…

eess.IV2024

Towards Collective Intelligence: Uncertainty-aware SAM Adaptation for Ambiguous Medical Image Segmentation

Mingzhou Jiang, Jiaying Zhou, Junde Wu +3

Collective intelligence from multiple medical experts consistently surpasses individual expertise in clinical diagnosis, particularly for ambiguous medical image segmentation tasks…