1 citations · 3 across the 10 of their papers we have counts for
10 papers
Artificial Intelligence for the Characterization of Particles and Fibers by Optical Microscopy
Simiao Sun, Kenneth Ng, Lynn Lee +6
Optical microscopy of particle and fiber dispersions involves interpreting subtle visual cues influenced by specimen morphology, chemical composition, magnification, and illuminati…
MetaSR: Content-Adaptive Metadata Orchestration for Generative Super-Resolution
Jiaqi Guo, Mingzhen Li, Haohong Wang +1
We study generative super-resolution (SR) in real-world scenarios where content and degradations vary across domains, genres, and segments. For example, images and videos may alter…
Irregularly Sampled Time Series Interpolation for Binary Evolution Simulations Using Dynamic Time Warping
Ugur Demir, Philipp M. Srivastava, Aggelos Katsaggelos +9
Binary stellar evolution simulations are computationally expensive. Stellar population synthesis relies on these detailed evolution models at a fundamental level. Producing thousan…
Learning the Stellar Structure Equations via Self-supervised Physics-Informed Neural Networks
Manuel Ballester, Santiago Lopez-Tapia, Seth Gossage +9
Stellar astrophysics relies critically on accurate descriptions of the physical conditions inside stars. Traditional solvers such as \texttt{MESA} (Modules for Experiments in Stell…
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…
DRL-STNet: Unsupervised Domain Adaptation for Cross-modality Medical Image Segmentation via Disentangled Representation Learning
Hui Lin, Florian Schiffers, Santiago López-Tapia +3
Unsupervised domain adaptation (UDA) is essential for medical image segmentation, especially in cross-modality data scenarios. UDA aims to transfer knowledge from a labeled source…