AIMC Topic: Workflow

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GLOW: A Workflow Integrating Gaussian-Accelerated Molecular Dynamics and Deep Learning for Free Energy Profiling.

Journal of chemical theory and computation Feb 24, 2022
We introduce a Gaussian-accelerated molecular dynamics (GaMD), deep learning (DL), and free energy profiling workflow (GLOW) to predict molecular determinants and map free energy landscapes of biomolecules. All-atom GaMD-enhanced sampling simulations...
Thermodynamics Entropy Workflow Molecular Dynamics Simulation Deep Learning
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Adopting Machine Learning Auto-Segmentation Into Radiotherapy Workflow.

Clinical oncology (Royal College of Radiologists (Great Britain)) Feb 17, 2022
Workflow Organs at Risk Image Processing, Computer-Assisted Radiation Oncology Radiotherapy Planning, Computer-Assisted Humans Machine Learning
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Compound computer vision workflow for efficient and automated immunohistochemical analysis of whole slide images.

Journal of clinical pathology Feb 15, 2022
AIMS: Immunohistochemistry (IHC) assessment of tissue is a central component of the modern pathology workflow, but quantification is challenged by subjective estimates by pathologists or manual steps in semi-automated digital tools. This study integr...
Neural Networks, Computer Computers Humans Workflow Brain Neoplasms Image Processing, Computer-Assisted Ki-67 Antigen
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Deep learning-based segmentation of the thorax in mouse micro-CT scans.

Scientific reports Feb 2, 2022
For image-guided small animal irradiations, the whole workflow of imaging, organ contouring, irradiation planning, and delivery is typically performed in a single session requiring continuous administration of anaesthetic agents. Automating contourin...
Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Mice Mice, Inbred BALB C Female Radiography, Thoracic Workflow Animals Thorax Reproducibility of Results Observer Variation Deep Learning X-Ray Microtomography
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Towards Semantic Photogrammetry: Generating Semantically Rich Point Clouds from Architectural Close-Range Photogrammetry.

Sensors (Basel, Switzerland) Jan 26, 2022
Developments in the field of artificial intelligence have made great strides in the field of automatic semantic segmentation, both in the 2D (image) and 3D spaces. Within the context of 3D recording technology it has also seen application in several ...
Semantics Neural Networks, Computer Workflow Artificial Intelligence Photogrammetry
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Prime Time for Artificial Intelligence in Interventional Radiology.

Cardiovascular and interventional radiology Jan 14, 2022
Machine learning techniques, also known as artificial intelligence (AI), is about to dramatically change workflow and diagnostic capabilities in diagnostic radiology. The interest in AI in Interventional Radiology is rapidly gathering pace. With this...
Humans Artificial Intelligence Machine Learning Radiology, Interventional Radiography Workflow
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Federated Deep Learning to More Reliably Detect Body Part for Hanging Protocols, Relevant Priors, and Workflow Optimization.

Journal of digital imaging Jan 11, 2022
Preparing radiology examinations for interpretation requires prefetching relevant prior examinations and implementing hanging protocols to optimally display the examination along with comparisons. Body part is a critical piece of information to facil...
Human Body Artificial Intelligence Deep Learning Radiography Workflow Humans
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Technologies bringing young Zebrafish from a niche field to the limelight.

SLAS technology Jan 2, 2022
Fundamental life science and pharmaceutical research are continually striving to provide physiologically relevant context for their biological studies. Zebrafish present an opportunity for high-content screening (HCS) to bring a true in vivo model sy...
Zebrafish Animals Workflow Software Artificial Intelligence Algorithms
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Extracting Rectified Building Footprints from Traditional Orthophotos: A New Workflow.

Sensors (Basel, Switzerland) Dec 29, 2021
Deep learning techniques such as convolutional neural networks have largely improved the performance of building segmentation from remote sensing images. However, the images for building segmentation are often in the form of traditional orthophotos, ...
Workflow Image Processing, Computer-Assisted Cluster Analysis Neural Networks, Computer China
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An effective simulation- and measurement-based workflow for enhanced diagnostics in rhinology.

Medical & biological engineering & computing Dec 23, 2021
Physics-based analyses have the potential to consolidate and substantiate medical diagnoses in rhinology. Such methods are frequently subject to intense investigations in research. However, they are not used in clinical applications, yet. One issue p...
Machine Learning Software Computer Simulation Algorithms Workflow
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