Uncertainty Estimation and Out-of-Distribution Detection for Deep Learning-Based Image Reconstruction Using the Local Lipschitz.

Accurate image reconstruction is at the heart of diagnostics in medical imaging. Supervised deep learning-based approaches have been investigated for solving inverse problems including image reconstruction. However, these trained models encounter unseen data distributions that are widely shifted from training data during deployment.

Real-time radial reconstruction with domain transform manifold learning for MRI-guided radiotherapy.

Background: MRI-guidance techniques that dynamically adapt radiation beams to follow tumor motion in real time will lead to more accurate cancer treatments and reduced collateral healthy tissue damage. The gold-standard for reconstruction of undersampled MR data is compressed sensing (CS) which is computationally slow and limits the rate that images can be available for real-time adaptation.

Purpose: Once trained, neural networks can be used to accurately reconstruct raw MRI data with minimal latency.

Shale Wettability Characteristics via Air/Brines and Air/Oil Contact Angles and Influence of Controlling Factors: A Case Study of Lower Indus Basin, Pakistan.

Wettability is the fundamental parameter that influences the productivity of hydrocarbon reservoirs. The knowledge of this regarding shale formation is yet inadequate; thus, detailed analysis is essential for successful development of such reservoirs. The Early Cretaceous Sembar formations in the Lower Indus Basin, Pakistan, is considered as the key target for energy exploration; however, it exhibits large uncertainties due to the lack of data availability.

Coal fly ash driven zeolites for the adsorptive removal of the ceftazidime drug.

The overall cost and efficiency of an adsorbent material is a major issue in deriving a sorbent into commercial markets. In this study, efforts have been directed to produce adsorption-capable zeolites from the dispensable product of coal power plants, , coal fly ash (CFA). In addition, coal mining water (CW) was used as a direct hydrothermal solvent.

Boosting the signal-to-noise of low-field MRI with deep learning image reconstruction.

Recent years have seen a resurgence of interest in inexpensive low magnetic field (< 0.3 T) MRI systems mainly due to advances in magnet, coil and gradient set designs. Most of these advances have focused on improving hardware and signal acquisition strategies, and far less on the use of advanced image reconstruction methods to improve attainable image quality at low field.

Effect of Molecular Weight on Sonoporation-Mediated Uptake in Human Cells.

Ultrasound-induced microbubble destruction can enhance drug delivery to cells. The molecular weight of therapeutic compounds varies significantly (from <1 kDa for small molecule drugs, to 7-15 kDa for siRNAs/miRNAs, to >1000 kDa for DNA plasmids). Therefore, the objective of this study was to determine the relationship between uptake efficiency and molecular weight using equal molar concentrations.