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Deep learning image reconstruction for CT: technical principles and clinical prospects
Filtered back projection (FBP) has been the standard CT image reconstruction method for 4
decades. A simple, fast, and reliable technique, FBP has delivered high-quality images in …
decades. A simple, fast, and reliable technique, FBP has delivered high-quality images in …
The evolution of image reconstruction for CT—from filtered back projection to artificial intelligence
The first CT scanners in the early 1970s already used iterative reconstruction algorithms;
however, lack of computational power prevented their clinical use. In fact, it took until 2009 …
however, lack of computational power prevented their clinical use. In fact, it took until 2009 …
Improving diffusion models for inverse problems using manifold constraints
Recently, diffusion models have been used to solve various inverse problems in an
unsupervised manner with appropriate modifications to the sampling process. However, the …
unsupervised manner with appropriate modifications to the sampling process. However, the …
Difftaichi: Differentiable programming for physical simulation
We present DiffTaichi, a new differentiable programming language tailored for building high-
performance differentiable physical simulators. Based on an imperative programming …
performance differentiable physical simulators. Based on an imperative programming …
Autoint: Automatic integration for fast neural volume rendering
Numerical integration is a foundational technique in scientific computing and is at the core of
many computer vision applications. Among these applications, neural volume rendering has …
many computer vision applications. Among these applications, neural volume rendering has …
Volumetric emission tomography for combustion processes
This is a comprehensive, critical, and pedagogical review of volumetric emission
tomography for combustion processes. Many flames that are of interest to scientists and …
tomography for combustion processes. Many flames that are of interest to scientists and …
Electron microscopy studies of soft nanomaterials
This review highlights recent efforts on applying electron microscopy (EM) to soft (including
biological) nanomaterials. We will show how developments of both the hardware and …
biological) nanomaterials. We will show how developments of both the hardware and …
Infrared laser-absorption sensing for combustion gases
Infrared laser-absorption spectroscopy (IR-LAS) sensors play an important role in
diagnosing and characterizing a wide range of combustion systems. Of all the laser …
diagnosing and characterizing a wide range of combustion systems. Of all the laser …
Synchrotron X-ray analytical techniques for studying materials electrochemistry in rechargeable batteries
Rechargeable battery technologies have ignited major breakthroughs in contemporary
society, including but not limited to revolutions in transportation, electronics, and grid energy …
society, including but not limited to revolutions in transportation, electronics, and grid energy …
LEARN: Learned experts' assessment-based reconstruction network for sparse-data CT
Compressive sensing (CS) has proved effective for tomographic reconstruction from
sparsely collected data or under-sampled measurements, which are practically important for …
sparsely collected data or under-sampled measurements, which are practically important for …