1 citations · 3 across the 10 of their papers we have counts for
5 papers · 1 filter
Vision-Language Enhanced Foundation Model for Semi-Supervised Medical Image Segmentation
Jiaqi Guo, Mingzhen Li, Hanyu Su +6
Semi-supervised learning (SSL) has emerged as an efficient paradigm for medical image segmentation, reducing the reliance on extensive expert annotations. Vision-language models (V…
The Future of Artificial Intelligence and the Mathematical and Physical Sciences (AI+MPS)
Andrew Ferguson, Marisa LaFleur, Lars Ruthotto +97
This community paper developed out of the NSF Workshop on the Future of Artificial Intelligence (AI) and the Mathematical and Physics Sciences (MPS), which was held in March 2025 w…
Advancing Limited-Angle CT Reconstruction Through Diffusion-Based Sinogram Completion
Jiaqi Guo, Santiago Lopez-Tapia, Aggelos K. Katsaggelos
Limited Angle Computed Tomography (LACT) often faces significant challenges due to missing angular information. Unlike previous methods that operate in the image domain, we propose…
CPDR: Towards Highly-Efficient Salient Object Detection via Crossed Post-decoder Refinement
Yijie Li, Hewei Wang, Aggelos Katsaggelos
Most of the current salient object detection approaches use deeper networks with large backbones to produce more accurate predictions, which results in a significant increase in co…
ScarNet: A Novel Foundation Model for Automated Myocardial Scar Quantification from LGE in Cardiac MRI
Neda Tavakoli, Amir Ali Rahsepar, Brandon C. Benefield +9
Background: Late Gadolinium Enhancement (LGE) imaging is the gold standard for assessing myocardial fibrosis and scarring, with left ventricular (LV) LGE extent predicting major ad…