Development and Validation of Image-Based Deep Learning Models to Predict Surgical Complexity and Complications in Abdominal Wall Reconstruction.
Sign Up to like & getrecommendations! Published in 2021 at "JAMA surgery"
DOI: 10.1001/jamasurg.2021.3012
Abstract: Importance Image-based deep learning models (DLMs) have been used in other disciplines, but this method has yet to be used to predict surgical outcomes. Objective To apply image-based deep learning to predict complexity, defined as… read more here.
Keywords: image based; complexity; surgical complexity; deep learning ... See more keywords
An image‐based model of brain volume biomarker changes in Huntington's disease
Sign Up to like & getrecommendations! Published in 2018 at "Annals of Clinical and Translational Neurology"
DOI: 10.1002/acn3.558
Abstract: Determining the sequence in which Huntington's disease biomarkers become abnormal can provide important insights into the disease progression and a quantitative tool for patient stratification. Here, we construct and present a uniquely fine‐grained model of… read more here.
Keywords: image based; huntington disease; disease; model brain ... See more keywords
A voxel image-based pulmonary airflow simulation method with an automatic detection algorithm for airway outlets.
Sign Up to like & getrecommendations! Published in 2020 at "International journal for numerical methods in biomedical engineering"
DOI: 10.1002/cnm.3305
Abstract: Investigations of pulmonary airflows in respiratory systems are important for the diagnostics and treatment of pulmonary diseases. For accurate prediction of the flow field in an airway, a numerical simulation must be conducted using the… read more here.
Keywords: image based; automatic detection; method; simulation ... See more keywords
Musculoskeletal Ultrasound Image‐Based Radiomics for the Diagnosis of Achilles Tendinopathy in Skiers
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Ultrasound in Medicine"
DOI: 10.1002/jum.16059
Abstract: Our study aimed to develop and validate an efficient ultrasound image‐based radiomic model for determining the Achilles tendinopathy in skiers. read more here.
Keywords: image based; musculoskeletal ultrasound; ultrasound image; achilles tendinopathy ... See more keywords
Deterministic small-scale undulations of image-based risk predictions from the deep learning of lung tumors in motion.
Sign Up to like & getrecommendations! Published in 2022 at "Medical physics"
DOI: 10.1002/mp.15869
Abstract: INTRODUCTION Deep learning (DL) models that use medical images to predict clinical outcomes are poised for clinical translation. For tumors that reside in organs that move, however, the impact of motion (i.e. degenerated object appearance… read more here.
Keywords: motion; image based; lung; risk ... See more keywords
A deep learning method for image‐based subject‐specific local SAR assessment
Sign Up to like & getrecommendations! Published in 2019 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.27948
Abstract: Local specific absorption rate (SAR) cannot be measured and is usually evaluated by offline numerical simulations using generic body models that of course will differ from the patient's anatomy. An additional safety margin is needed… read more here.
Keywords: local sar; image based; deep learning; method image ... See more keywords
Noninvasive quantification of cerebrovascular pressure changes using 4D Flow MRI.
Sign Up to like & getrecommendations! Published in 2021 at "Magnetic resonance in medicine"
DOI: 10.1002/mrm.28928
Abstract: PURPOSE Hemodynamic alterations are indicative of cerebrovascular disease. However, the narrow and tortuous cerebrovasculature complicates image-based assessment, especially when quantifying relative pressure. Here, we present a systematic evaluation of image-based cerebrovascular relative pressure mapping, investigating… read more here.
Keywords: flow mri; relative pressure; image based; cerebrovascular relative ... See more keywords
Mechanistic Image-Based Modelling: Concepts and Applications.
Sign Up to like & getrecommendations! Published in 2019 at "Handbook of experimental pharmacology"
DOI: 10.1007/164_2019_328
Abstract: Advancements in imaging techniques have led to a rapid growth of available imaging data. Interpretation of the imaging data and extraction of biologically, physiologically and/or medically relevant information, however, remains challenging. In contrast, mechanistic computational… read more here.
Keywords: image based; drug; based modelling; development ... See more keywords
Negative Image-Based Rescoring: Using Cavity Information to Improve Docking Screening.
Sign Up to like & getrecommendations! Published in 2021 at "Methods in molecular biology"
DOI: 10.1007/978-1-0716-1209-5_8
Abstract: Molecular docking produces often lackluster results in real-life virtual screening assays that aim to discover novel drug candidates or hit compounds. The problem lies in the inability of the default docking scoring to properly estimate… read more here.
Keywords: image based; cavity; rescoring using; based rescoring ... See more keywords
Image-Based Screening for Stress Granule Regulators.
Sign Up to like & getrecommendations! Published in 2022 at "Methods in molecular biology"
DOI: 10.1007/978-1-0716-1975-9_22
Abstract: Stress granule (SG)-based RNA interference (RNAi) screening is a powerful method to discover factors that control protein synthesis and aggregation, as well as regulators of SG assembly and disassembly. Here, we describe how to set… read more here.
Keywords: image based; stress; stress granule; based screening ... See more keywords
A New Image-Based Hybrid Reversible Data Hiding Model Using IHWT and RP-PEHM for Secured Data Communication
Sign Up to like & getrecommendations! Published in 2018 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-018-0790-z
Abstract: It is essential to maintain a proper balance between the embedding capacity, imperceptibility and robustness in image-based reversible data hiding (RDH) applications. Most of the spatial-domain RDH techniques focus more on embedding capacity and imperceptibility… read more here.
Keywords: image; image based; reversible data; embedding capacity ... See more keywords