X‐ray tomography is a versatile tool in materials research and engineering since it allows for
a non‐destructive and three‐dimensional mapping of the constituents of a heterogeneous …

Recovering a high-quality image from noisy indirect measurements is an important problem
with many applications. For such inverse problems, supervised deep convolutional neural …

The structure and constitution of opaque materials can be studied with X‐ray imaging
methods such as 3D tomography. To observe the dynamic evolution of their structure and …

Purpose In order to attain anatomical models, surgical guides and implants for computer‐
assisted surgery, accurate segmentation of bony structures in cone‐beam computed …

Background and objective Over the past decade, convolutional neural networks (CNNs)
have revolutionized the field of medical image segmentation. Prompted by the …

Circular cone-beam (CCB) Computed Tomography (CT) has become an integral part of
industrial quality control, materials science and medical imaging. The need to acquire and …

Tomographic algorithms are often compared by evaluating them on certain benchmark
datasets. For fair comparison, these datasets should ideally (i) be challenging to …

Time-resolved X-ray tomographic microscopy is an invaluable technique to investigate
dynamic processes in 3D for extended time periods. Because of the limited signal-to-noise …

快速, 准确, 适用性强的重建算法是可调谐二极管激光吸收光谱层析成像(TDLAT)
的核心研究内容之一. 现有算法一般取位于燃烧场中心的某局部区域作为感兴趣区域(RoI) …

Implementation of fast, accurate and adaptable reconstruction is one of the core topics in
Tunable Diode Laser Absorption Tomography (TDLAT). In existing algorithms, a certain …