Hypofractionated vs Conventionally Fractionated Postmastectomy Radiation After Implant-Based Reconstruction: A Randomized Clinical Trial.
Sign Up to like & getrecommendations! Published in 2024 at "JAMA oncology"
DOI: 10.1001/jamaoncol.2024.2652
Abstract: Importance Postmastectomy radiation therapy (PMRT) improves local-regional disease control and patient survival. Hypofractionation (HF) regimens have comparable efficacy and complication rates with improved quality of life compared with conventional fractionation (CF) schedules. However, the use… read more here.
Keywords: trial; reconstruction; implant based; randomized clinical ... See more keywords
Continuous representation‐based reconstruction for computed tomography
Sign Up to like & getrecommendations! Published in 2025 at "Medical Physics"
DOI: 10.1002/mp.17849
Abstract: Computed tomography (CT) imaging has been developed to acquire a higher resolution image for detecting early‐stage lesions. However, the lack of spatial resolution of CT images is still a limitation to fully utilize the capabilities… read more here.
Keywords: continuous representation; reconstruction computed; representation based; computed tomography ... See more keywords
Accelerated two‐dimensional phase‐contrast for cardiovascular MRI using deep learning‐based reconstruction with complex difference estimation
Sign Up to like & getrecommendations! Published in 2022 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.29441
Abstract: To develop and validate a deep learning‐based reconstruction framework for highly accelerated two‐dimensional (2D) phase contrast (PC‐MRI) data with accurate and precise quantitative measurements. read more here.
Keywords: based reconstruction; two dimensional; dimensional phase; deep learning ... See more keywords
Model‐based reconstruction for looping‐star MRI
Sign Up to like & getrecommendations! Published in 2024 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.29927
Abstract: The aim of this study was to develop a reconstruction method that more fully models the signals and reconstructs gradient echo (GRE) images without sacrificing the signal to noise ratio and spatial resolution, compared to… read more here.
Keywords: reconstruction looping; model based; reconstruction; based reconstruction ... See more keywords
Model-based reconstructions for intravoxel incoherent motion and diffusion-tensor imaging parameter map estimations.
Sign Up to like & getrecommendations! Published in 2023 at "NMR in biomedicine"
DOI: 10.1002/nbm.4927
Abstract: PURPOSE Intravoxel incoherent motion (IVIM) imaging and diffusion-tensor imaging (DTI) facilitate non-invasive quantification of tissue perfusion and diffusion. Both are promising biomarkers in various diseases and a combined acquisition is therefore desirable. This comes with… read more here.
Keywords: based reconstruction; diffusion; parameter; reconstruction ... See more keywords
Reliability of brain volume measures of accelerated 3D T1-weighted images with deep learning-based reconstruction
Sign Up to like & getrecommendations! Published in 2024 at "Neuroradiology"
DOI: 10.1007/s00234-024-03461-5
Abstract: The time-intensive nature of acquiring 3D T1-weighted MRI and analyzing brain volumetry limits quantitative evaluation of brain atrophy. We explore the feasibility and reliability of deep learning-based accelerated MRI scans for brain volumetry. This retrospective… read more here.
Keywords: deep learning; brain; simul accel; based reconstruction ... See more keywords
Patch-based reconstruction of surfaces undergoing different types of deformations
Sign Up to like & getrecommendations! Published in 2017 at "Signal, Image and Video Processing"
DOI: 10.1007/s11760-017-1079-6
Abstract: We deal with the reconstruction of surfaces that deform under a variety of conditions. The deformation can range from no extension to a certain degree of extensibility. The deformed surface is reconstructed from a single… read more here.
Keywords: reconstruction; surface; surfaces undergoing; based reconstruction ... See more keywords
CT-Based 3D Reconstruction of Lower Limb Versus X-Ray-Based 3D Reconstruction: A Comparative Analysis and Application for a Safe and Cost-Effective Modality in TKA.
Sign Up to like & getrecommendations! Published in 2021 at "Indian journal of orthopaedics"
DOI: 10.1007/s43465-021-00456-9
Abstract: Aim Patient Specific Instrumentation (PSI) with 3D bone models have been used to improve the outcomes of Total Knee Arthroplasty (TKA). The PSI, however, needs a CT (Computed tomography)/MRI scan to reproduce a bone-based model.… read more here.
Keywords: reconstruction; tka; reconstruction lower; lower limb ... See more keywords
Data assimilation-based reconstruction of urban pollutant release characteristics
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Wind Engineering and Industrial Aerodynamics"
DOI: 10.1016/j.jweia.2017.07.007
Abstract: The development of efficient methodologies for the reconstruction of pollutant source characteristics in urban areas is a challenging issue due to the complexity of the flow in such environments, requiring the use of expensive computational… read more here.
Keywords: assimilation; pollutant source; data assimilation; based reconstruction ... See more keywords
Improvement of peripheral nerve visualization using a deep learning-based MR reconstruction algorithm.
Sign Up to like & getrecommendations! Published in 2021 at "Magnetic resonance imaging"
DOI: 10.1016/j.mri.2021.10.038
Abstract: OBJECTIVE To assess a new deep learning-based MR reconstruction method, "DLRecon," for clinical evaluation of peripheral nerves. METHODS Sixty peripheral nerves were prospectively evaluated in 29 patients (mean age: 49 ± 16 years, 17 female) undergoing standard-of-care (SOC)… read more here.
Keywords: reconstruction; agreement; visualization; deep learning ... See more keywords
Neural network-based reconstruction of steady-state temperature systems with unknown material composition
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-73380-1
Abstract: Effective thermal management is crucial for the performance and longevity of devices such as computer chips and batteries. A fundamental challenge in this field is accurately determining temperature distributions, which are often limited by incomplete… read more here.
Keywords: temperature; network based; network; neural network ... See more keywords