Algorithms, examples and tests for denoising, deblurring, zooming, dequantization and compressive imaging with total variation (TV) and second-order total generalized variation (TGV) regularization.

(a) Unified Model: NO works across various undersampling patterns, unlike CNNs (e.g., E2E-VarNet) that need separate models for each. (b) Consistent Performance: NO consistently outperforms CNNs, ...

Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States The Russell H. Morgan Department of Radiology and Radiological Science,The Johns Hopkins ...

Model order reduction allows critical information about sensor placement and experiment design to be distilled from raw fluid mechanics simulation data. In many cases, sensed information in ...

The past decade has witnessed a significant increase in the number of radiopharmaceuticals approved for diagnostic and therapeutic use in humans. To receive such approval, these radiopharmaceuticals ...

Engineered microbiomes can hugely benefit human, plant, and animal health. However, the diversity and complexity of microbiomes hinder a full understanding, and hence, prediction, of community ...

Department of Advanced Production Engineering (APE), Engineering and Technology Institute Groningen (ENTEG), University of Groningen, Groningen 9747 AG, The Netherlands Groningen Cognitive Systems and ...

Photoacoustic tomography (PAT) is a propitious imaging modality, which is helpful for biomedical study. However, fast PAT imaging and denoising is an exigent task in medical research. To address the ...

We present sparse identification of nonlinear dynamics with shallow recurrent decoders (SINDy-SHRED), which jointly solves the sensing, model reduction and model identification problem with simple ...