AIMC Topic: Whole Body Imaging
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Fully automatic, multiorgan segmentation in normal whole body magnetic resonance imaging (MRI), using classification forests (CFs), convolutional neural networks (CNNs), and a multi-atlas (MA) approach.
Medical physics
Aug 31, 2017
PURPOSE: As part of a program to implement automatic lesion detection methods for whole body magnetic resonance imaging (MRI) in oncology, we have developed, evaluated, and compared three algorithms for fully automatic, multiorgan segmentation in hea...
Automated extraction and labelling of the arterial tree from whole-body MRA data.
Medical image analysis
May 21, 2015
In this work, we present a fully automated algorithm for extraction of the 3D arterial tree and labelling the tree segments from whole-body magnetic resonance angiography (WB-MRA) sequences. The algorithm developed consists of two core parts (i) 3D v...
3-D Human Action Recognition by Shape Analysis of Motion Trajectories on Riemannian Manifold.
IEEE transactions on cybernetics
Sep 9, 2014
Recognizing human actions in 3-D video sequences is an important open problem that is currently at the heart of many research domains including surveillance, natural interfaces and rehabilitation. However, the design and development of models for act...
Machine learning based differential diagnosis of SAPHO syndrome and secondary bone tumors using whole body bone scintigraphy.
Scientific reports
May 28, 2025
SAPHO syndrome is an inflammatory disorder with bone and cutaneous manifestations, for which whole-body bone scintigraphy (WBBS) is frequently used in diagnosis. The WBBS findings of SAPHO syndromes and secondary bone tumors (SBT) have overlapping fe...
Uncertainty quantification for deep learning-based metastatic lesion segmentation on whole body PET/CT.
Physics in medicine and biology
May 23, 2025
Deep learning models are increasingly being implemented for automated medical image analysis to inform patient care. Most models, however, lack uncertainty information, without which the reliability of model outputs cannot be ensured. Several uncerta...
Whole-body CT-to-PET synthesis using a customized transformer-enhanced GAN.
Physics in medicine and biology
May 22, 2025
. Positron emission tomography with 2-deoxy-2-[fluorine-18]fluoro-D-glucose integrated with computed tomography (18F-FDG PET-CT) is a multi-modality medical imaging technique widely used for screening and diagnosis of lesions and tumors, in which, CT...
Evaluating Skellytour for Automated Skeleton Segmentation from Whole-Body CT Images.
Radiology. Artificial intelligence
Mar 1, 2025
Purpose To construct and evaluate the performance of a machine learning model for bone segmentation using whole-body CT images. Materials and Methods In this retrospective study, whole-body CT scans (from June 2010 to January 2018) from 90 patients (...
Whole-body Composition Profiling Using a Deep Learning Algorithm: Influence of Different Acquisition Parameters on Algorithm Performance and Robustness.
Investigative radiology
Jan 1, 2022
OBJECTIVES: To develop, test, and validate a body composition profiling algorithm for automated segmentation of body compartments in whole-body magnetic resonance imaging (wbMRI) and to investigate the influence of different acquisition parameters on...
Assessment of a Deep Learning Algorithm for the Detection of Rib Fractures on Whole-Body Trauma Computed Tomography.
Korean journal of radiology
Jul 1, 2020
OBJECTIVE: To assess the diagnostic performance of a deep learning-based algorithm for automated detection of acute and chronic rib fractures on whole-body trauma CT.
The Relative Importance of Clinical and Socio-demographic Variables in Prognostic Prediction in Non-Small Cell Lung Cancer: A Variable Importance Approach.
Medical care
May 1, 2020
BACKGROUND: Prognostic modeling in health care has been predominantly statistical, despite a rapid growth of literature on machine-learning approaches in biological data analysis. We aim to assess the relative importance of variables in predicting ov...
Humans
Machine Learning
Prognosis
Retrospective Studies
Neoplasm Staging
Female
Aged
Whole Body Imaging
Radiopharmaceuticals
Lung Neoplasms
Male
Adult
Tumor Burden
Carcinoma, Non-Small-Cell Lung
Middle Aged
Models, Statistical
Random Allocation
Comorbidity
Positron Emission Tomography Computed Tomography
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