AIMC Topic: Machine Learning

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Learning-based 3T brain MRI segmentation with guidance from 7T MRI labeling.

Medical physics Dec 1, 2016
PURPOSE: Segmentation of brain magnetic resonance (MR) images into white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF) is crucial for brain structural measurement and disease diagnosis. Learning-based segmentation methods depend largel...
Magnetic Resonance Imaging Alzheimer Disease Signal-To-Noise Ratio Brain Male Female Image Processing, Computer-Assisted Adult Humans Machine Learning Algorithms
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Computer aided prognosis for cell death categorization and prediction in vivo using quantitative ultrasound and machine learning techniques.

Medical physics Dec 1, 2016
PURPOSE: At present, a one-size-fits-all approach is typically used for cancer therapy in patients. This is mainly because there is no current imaging-based clinical standard for the early assessment and monitoring of cancer treatment response. Here,...
Machine Learning Animals Diagnosis, Computer-Assisted Ultrasonography Cell Line, Tumor Image Processing, Computer-Assisted Cell Transformation, Neoplastic Mice Fibrosarcoma Cell Death
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Learning-based 3T brain MRI segmentation with guidance from 7T MRI labeling.

Medical physics Dec 1, 2016
PURPOSE: Segmentation of brain magnetic resonance (MR) images into white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF) is crucial for brain structural measurement and disease diagnosis. Learning-based segmentation methods depend largel...
Alzheimer Disease Neuroimaging Signal-To-Noise Ratio Imaging, Three-Dimensional Magnetic Resonance Imaging Machine Learning Brain Female Aged Male Time Factors Humans
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Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography.

Medical physics Dec 1, 2016
PURPOSE: Develop a computer-aided detection (CAD) system for masses in digital breast tomosynthesis (DBT) volume using a deep convolutional neural network (DCNN) with transfer learning from mammograms.
Neural Networks, Computer Machine Learning Breast Neoplasms Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Mammography
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Machine Learning Applied to Alzheimer Disease.

Radiology Dec 1, 2016
Magnetic Resonance Imaging Alzheimer Disease Image Interpretation, Computer-Assisted Humans Machine Learning
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Enhancing predictive accuracy and reproducibility in clinical evaluation research: Commentary on the special section of the Journal of Evaluation in Clinical Practice.

Journal of evaluation in clinical practice Dec 1, 2016
This paper introduces a special section of the current issue of the Journal of Evaluation in Clinical Practice that includes a set of 6 empirical articles showcasing a versatile, new machine-learning statistical method, known as optimal data (or disc...
Machine Learning Reproducibility of Results Discriminant Analysis
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Imaging and machine learning techniques for diagnosis of Alzheimer's disease.

Reviews in the neurosciences Dec 1, 2016
Alzheimer's disease (AD) is a common health problem in elderly people. There has been considerable research toward the diagnosis and early detection of this disease in the past decade. The sensitivity of biomarkers and the accuracy of the detection t...
Humans Neural Networks, Computer Machine Learning Early Diagnosis Brain Aged Animals Image Processing, Computer-Assisted Alzheimer Disease
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Label-aligned multi-task feature learning for multimodal classification of Alzheimer's disease and mild cognitive impairment.

Brain imaging and behavior Dec 1, 2016
Multimodal classification methods using different modalities of imaging and non-imaging data have recently shown great advantages over traditional single-modality-based ones for diagnosis and prognosis of Alzheimer's disease (AD), as well as its prod...
ROC Curve Humans Multimodal Imaging Machine Learning Radiopharmaceuticals Aged Databases, Factual Disease Progression Brain Cognitive Dysfunction Prognosis Pattern Recognition, Automated Alzheimer Disease Fluorodeoxyglucose F18 Positron-Emission Tomography Neuroimaging Image Interpretation, Computer-Assisted
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Machine Learning for Echocardiographic Imaging: Embarking on Another Incredible Journey.

Journal of the American College of Cardiology Nov 29, 2016
Machine Learning Echocardiography
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Integrated machine learning, molecular docking and 3D-QSAR based approach for identification of potential inhibitors of trypanosomal N-myristoyltransferase.

Molecular bioSystems Nov 15, 2016
N-Myristoyltransferase (NMT) catalyzes the transfer of myristate to the amino-terminal glycine of a subset of proteins, a co-translational modification involved in trafficking substrate proteins to membrane locations, stabilization and protein-protei...
Binding Sites Trypanocidal Agents Protein Binding Acyltransferases Parasitic Sensitivity Tests Workflow Enzyme Inhibitors Machine Learning Quantitative Structure-Activity Relationship Molecular Dynamics Simulation Datasets as Topic Algorithms Catalytic Domain Molecular Docking Simulation
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