Diffusion models in medical imaging: A comprehensive survey

A Kazerouni, EK Aghdam, M Heidari, R Azad… - Medical Image …, 2023 - Elsevier
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 …

Deep learning image reconstruction for CT: technical principles and clinical prospects

LR Koetzier, D Mastrodicasa, TP Szczykutowicz… - Radiology, 2023 - pubs.rsna.org
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 …

[HTML][HTML] Transport of intensity diffraction tomography with non-interferometric synthetic aperture for three-dimensional label-free microscopy

J Li, N Zhou, J Sun, S Zhou, Z Bai, L Lu… - Light: Science & …, 2022 - nature.com
We present a new label-free three-dimensional (3D) microscopy technique, termed transport
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 …

Diffusion models for medical image analysis: A comprehensive survey

A Kazerouni, EK Aghdam, M Heidari, R Azad… - arXiv preprint arXiv …, 2022 - arxiv.org
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 …

[HTML][HTML] Transport of intensity equation: a tutorial

C Zuo, J Li, J Sun, Y Fan, J Zhang, L Lu… - Optics and Lasers in …, 2020 - Elsevier
When it comes to “phase measurement” or “quantitative phase imaging”, many people will
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 …

Volumetric additive manufacturing via tomographic reconstruction

BE Kelly, I Bhattacharya, H Heidari, M Shusteff… - Science, 2019 - science.org
Additive manufacturing promises enormous geometrical freedom and the potential to
combine materials for complex functions. The speed, geometry, and surface quality …

Volumetric bioprinting of complex living‐tissue constructs within seconds

PN Bernal, P Delrot, D Loterie, Y Li, J Malda… - Advanced …, 2019 - Wiley Online Library
Biofabrication technologies, including stereolithography and extrusion‐based printing, are
revolutionizing the creation of complex engineered tissues. The current paradigm in …

Advances in medical image analysis with vision transformers: a comprehensive review

R Azad, A Kazerouni, M Heidari, EK Aghdam… - Medical Image …, 2023 - Elsevier
The remarkable performance of the Transformer architecture in natural language processing
has recently also triggered broad interest in Computer Vision. Among other merits …