Diffusion models in medical imaging: A comprehensive survey
Denoising diffusion models, a class of generative models, have garnered immense interest
lately in various deep-learning problems. A diffusion probabilistic model defines a forward …
lately in various deep-learning problems. A diffusion probabilistic model defines a forward …
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 …
[HTML][HTML] Transport of intensity diffraction tomography with non-interferometric synthetic aperture for three-dimensional label-free microscopy
We present a new label-free three-dimensional (3D) microscopy technique, termed transport
of intensity diffraction tomography with non-interferometric synthetic aperture (TIDT-NSA) …
of intensity diffraction tomography with non-interferometric synthetic aperture (TIDT-NSA) …
[HTML][HTML] A review of stereolithography: Processes and systems
J Huang, Q Qin, J Wang - Processes, 2020 - mdpi.com
Being the earliest form of additive manufacturing, stereolithography (SLA) fabricates 3D
objects by selectively solidifying the liquid resin through a photopolymerization reaction. The …
objects by selectively solidifying the liquid resin through a photopolymerization reaction. The …
Diffusion models for medical image analysis: A comprehensive survey
Denoising diffusion models, a class of generative models, have garnered immense interest
lately in various deep-learning problems. A diffusion probabilistic model defines a forward …
lately in various deep-learning problems. A diffusion probabilistic model defines a forward …
[HTML][HTML] Transport of intensity equation: a tutorial
When it comes to “phase measurement” or “quantitative phase imaging”, many people will
automatically connect them with “laser” and “interferometry”. Indeed, conventional …
automatically connect them with “laser” and “interferometry”. Indeed, conventional …
Autoint: Automatic integration for fast neural volume rendering
DB Lindell, JNP Martel… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
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 additive manufacturing via tomographic reconstruction
Additive manufacturing promises enormous geometrical freedom and the potential to
combine materials for complex functions. The speed, geometry, and surface quality …
combine materials for complex functions. The speed, geometry, and surface quality …
Volumetric bioprinting of complex living‐tissue constructs within seconds
Biofabrication technologies, including stereolithography and extrusion‐based printing, are
revolutionizing the creation of complex engineered tissues. The current paradigm in …
revolutionizing the creation of complex engineered tissues. The current paradigm in …
Advances in medical image analysis with vision transformers: a comprehensive review
The remarkable performance of the Transformer architecture in natural language processing
has recently also triggered broad interest in Computer Vision. Among other merits …
has recently also triggered broad interest in Computer Vision. Among other merits …