99 citations · 185 across the 10 of their papers we have counts for
23 papers
Hallucination Index: An Image Quality Metric for Generative Reconstruction Models
Matthew Tivnan, Siyeop Yoon, Zhennong Chen +3
Generative image reconstruction algorithms such as measurement conditioned diffusion models are increasingly popular in the field of medical imaging. These powerful models can tran…
Bora: Biomedical Generalist Video Generation Model
Weixiang Sun, Xiaocao You, Ruizhe Zheng +5
Generative models hold promise for revolutionizing medical education, robot-assisted surgery, and data augmentation for medical AI development. Diffusion models can now generate re…
Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation
Juzheng Miao, Cheng Chen, Keli Zhang +3
Semi-supervised learning (SSL) has achieved notable progress in medical image segmentation. To achieve effective SSL, a model needs to be able to efficiently learn from limited lab…
FM-OSD: Foundation Model-Enabled One-Shot Detection of Anatomical Landmarks
Juzheng Miao, Cheng Chen, Keli Zhang +3
One-shot detection of anatomical landmarks is gaining significant attention for its efficiency in using minimal labeled data to produce promising results. However, the success of c…
Measurement Embedded Schrödinger Bridge for Inverse Problems
Yuang Wang, Pengfei Jin, Siyeop Yoon +4
Score-based diffusion models are frequently employed as structural priors in inverse problems. However, their iterative denoising process, initiated from Gaussian noise, often resu…
Dealing with All-stage Missing Modality: Towards A Universal Model with Robust Reconstruction and Personalization
Yunpeng Zhao, Cheng Chen, Qing You Pang +4
Addressing missing modalities presents a critical challenge in multimodal learning. Current approaches focus on developing models that can handle modality-incomplete inputs during…