AIMC Topic: Magnetic Resonance Imaging
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Automatic radiotherapy delineation quality assurance on prostate MRI with deep learning in a multicentre clinical trial.
Physics in medicine and biology
Sep 28, 2021
Volume delineation quality assurance (QA) is particularly important in clinical trial settings where consistent protocol implementation is required, as outcomes will affect future as well current patients. Currently, where feasible, this is conducted...
Artificial intelligence for pre-operative lymph node staging in colorectal cancer: a systematic review and meta-analysis.
BMC cancer
Sep 26, 2021
BACKGROUND: Artificial intelligence (AI) is increasingly being used in medical imaging analysis. We aimed to evaluate the diagnostic accuracy of AI models used for detection of lymph node metastasis on pre-operative staging imaging for colorectal can...
A deep learning toolbox for automatic segmentation of subcortical limbic structures from MRI images.
NeuroImage
Sep 25, 2021
A tool was developed to automatically segment several subcortical limbic structures (nucleus accumbens, basal forebrain, septal nuclei, hypothalamus without mammillary bodies, the mammillary bodies, and fornix) using only a T1-weighted MRI as input. ...
Deep learning from MRI-derived labels enables automatic brain tissue classification on human brain CT.
NeuroImage
Sep 25, 2021
Automatic methods for feature extraction, volumetry, and morphometric analysis in clinical neuroscience typically operate on images obtained with magnetic resonance (MR) imaging equipment. Although CT scans are less expensive to acquire and more wide...
Whole brain segmentation with full volume neural network.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Sep 25, 2021
Whole brain segmentation is an important neuroimaging task that segments the whole brain volume into anatomically labeled regions-of-interest. Convolutional neural networks have demonstrated good performance in this task. Existing solutions, usually ...
Prediction of blood supply in vestibular schwannomas using radiomics machine learning classifiers.
Scientific reports
Sep 23, 2021
This study attempts to explore the radiomics-based features of multi-parametric magnetic resonance imaging (MRI) and construct a machine-learning model to predict the blood supply in vestibular schwannoma preoperatively. By retrospectively collecting...
Multimodal deep learning models for the prediction of pathologic response to neoadjuvant chemotherapy in breast cancer.
Scientific reports
Sep 22, 2021
The achievement of the pathologic complete response (pCR) has been considered a metric for the success of neoadjuvant chemotherapy (NAC) and a powerful surrogate indicator of the risk of recurrence and long-term survival. This study aimed to develop ...
A pilot study for fragment identification using 2D NMR and deep learning.
Magnetic resonance in chemistry : MRC
Sep 21, 2021
This paper presents a proof of concept of a method to identify substructures in 2D NMR spectra of mixtures using a bespoke image-based convolutional neural network application. This is done using HSQC and HMBC spectra separately and in combination. T...
Training data distribution significantly impacts the estimation of tissue microstructure with machine learning.
Magnetic resonance in medicine
Sep 21, 2021
PURPOSE: Supervised machine learning (ML) provides a compelling alternative to traditional model fitting for parameter mapping in quantitative MRI. The aim of this work is to demonstrate and quantify the effect of different training data distribution...
Deep Learning for Adjacent Segment Disease at Preoperative MRI for Cervical Radiculopathy.
Radiology
Sep 21, 2021
Background Patients who undergo surgery for cervical radiculopathy are at risk for developing adjacent segment disease (ASD). Identifying patients who will develop ASD remains challenging for clinicians. Purpose To develop and validate a deep learnin...
Reproducibility of Results
Adult
Sensitivity and Specificity
Male
Humans
Retrospective Studies
Female
Image Interpretation, Computer-Assisted
Radiculopathy
Magnetic Resonance Imaging
Preoperative Care
Middle Aged
Diskectomy
Predictive Value of Tests
Postoperative Complications
Spinal Cord Diseases
Cervical Vertebrae
Deep Learning
Spinal Fusion
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