A survey on deep learning in medical image reconstruction
E Ahishakiye, M Bastiaan Van Gijzen… - Intelligent …, 2021 - mednexus.org
Medical image reconstruction aims to acquire high-quality medical images for clinical usage
at minimal cost and risk to the patients. Deep learning and its applications in medical …
at minimal cost and risk to the patients. Deep learning and its applications in medical …
Deep learning‐based image reconstruction for different medical imaging modalities
Image reconstruction in magnetic resonance imaging (MRI) and computed tomography (CT)
is a mathematical process that generates images at many different angles around the …
is a mathematical process that generates images at many different angles around the …
Deep learning for biomedical image reconstruction: A survey
Medical imaging is an invaluable resource in medicine as it enables to peer inside the
human body and provides scientists and physicians with a wealth of information …
human body and provides scientists and physicians with a wealth of information …
Transformer meets boundary value inverse problems
A Transformer-based deep direct sampling method is proposed for electrical impedance
tomography, a well-known severely ill-posed nonlinear boundary value inverse problem. A …
tomography, a well-known severely ill-posed nonlinear boundary value inverse problem. A …
Quo Vadis, Nanoparticle-Enabled In Vivo Fluorescence Imaging?
The exciting advancements that we are currently witnessing in terms of novel materials and
synthesis approaches are leading to the development of colloidal nanoparticles (NPs) with …
synthesis approaches are leading to the development of colloidal nanoparticles (NPs) with …
Tutorial on the use of deep learning in diffuse optical tomography
GM Balasubramaniam, B Wiesel, N Biton, R Kumar… - Electronics, 2022 - mdpi.com
Diffuse optical tomography using deep learning is an emerging technology that has found
impressive medical diagnostic applications. However, creating an optical imaging system …
impressive medical diagnostic applications. However, creating an optical imaging system …
Back-propagation neural network-based reconstruction algorithm for diffuse optical tomography
J Feng, Q Sun, Z Li, Z Sun, K Jia - Journal of biomedical optics, 2019 - spiedigitallibrary.org
Diffuse optical tomography (DOT) is a promising noninvasive imaging modality and is
capable of providing functional characteristics of biological tissue by quantifying optical …
capable of providing functional characteristics of biological tissue by quantifying optical …
Machine learning model with physical constraints for diffuse optical tomography
A machine learning model with physical constraints (ML-PC) is introduced to perform diffuse
optical tomography (DOT) reconstruction. DOT reconstruction is an ill-posed and under …
optical tomography (DOT) reconstruction. DOT reconstruction is an ill-posed and under …
Deep learning-based fusion of widefield diffuse optical tomography and micro-CT structural priors for accurate 3D reconstructions
Widefield illumination and detection strategies leveraging structured light have enabled fast
and robust probing of tissue properties over large surface areas and volumes. However …
and robust probing of tissue properties over large surface areas and volumes. However …
FDU-net: deep learning-based three-dimensional diffuse optical image reconstruction
Near-infrared diffuse optical tomography (DOT) is a promising functional modality for breast
cancer imaging; however, the clinical translation of DOT is hampered by technical …
cancer imaging; however, the clinical translation of DOT is hampered by technical …