AIMC Topic: Humans

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Predicting the cytotoxicity of chemicals using ensemble learning methods and molecular fingerprints.

Journal of applied toxicology : JAT Feb 14, 2019
The prediction of compound cytotoxicity is an important part of the drug discovery process. However, it usually appears as poor predictive performance because the datasets are high-throughput and have a class-imbalance problem. In this study, several...
Machine Learning Algorithms Quantitative Structure-Activity Relationship Carcinogens Drug Discovery Humans
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Generative Adversarial Networks for Facilitating Stain-Independent Supervised and Unsupervised Segmentation: A Study on Kidney Histology.

IEEE transactions on medical imaging Feb 14, 2019
A major challenge in the field of segmentation in digital pathology is given by the high effort for manual data annotations in combination with many sources introducing variability in the image domain. This requires methods that are able to cope with...
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Humans Data Curation Kidney Machine Learning Histocytochemistry Image Processing, Computer-Assisted
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Real-time tracking of surgical instruments based on spatio-temporal context and deep learning.

Computer assisted surgery (Abingdon, England) Feb 14, 2019
ABSTARCT Real-time tool tracking in minimally invasive-surgery (MIS) has numerous applications for computer-assisted interventions (CAIs). Visual tracking approaches are a promising solution to real-time surgical tool tracking, however, many approach...
Surgical Instruments Deep Learning Minimally Invasive Surgical Procedures Humans Algorithms Spatio-Temporal Analysis Neural Networks, Computer
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Fully Convolutional Networks for Monocular Retinal Depth Estimation and Optic Disc-Cup Segmentation.

IEEE journal of biomedical and health informatics Feb 14, 2019
Glaucoma is a serious ocular disorder for which the screening and diagnosis are carried out by the examination of the optic nerve head (ONH). The color fundus image (CFI) is the most common modality used for ocular screening. In CFI, the central regi...
Glaucoma ROC Curve Humans Neural Networks, Computer Optic Disk Diagnostic Techniques, Ophthalmological Retina Image Interpretation, Computer-Assisted
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Artificial intelligence and upper gastrointestinal endoscopy: Current status and future perspective.

Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society Feb 14, 2019
With recent breakthroughs in artificial intelligence, computer-aided diagnosis (CAD) for upper gastrointestinal endoscopy is gaining increasing attention. Main research focuses in this field include automated identification of dysplasia in Barrett's ...
Humans Early Detection of Cancer Digestive System Diseases Endoscopy, Digestive System Artificial Intelligence Diagnosis, Computer-Assisted
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Emergence of cognitive priming and structure building from the hierarchical interaction of canonical microcircuit models.

Biological cybernetics Feb 14, 2019
The concept of connectionism states that higher cognitive functions emerge from the interaction of many simple elements. Accordingly, research on canonical microcircuits conceptualizes findings on fundamental neuroanatomical circuits as well as recur...
Humans Brain Animals Models, Neurological Computer Simulation Neural Networks, Computer Cognition
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SHARQnet - Sophisticated harmonic artifact reduction in quantitative susceptibility mapping using a deep convolutional neural network.

Zeitschrift fur medizinische Physik Feb 14, 2019
Quantitative susceptibility mapping (QSM) reveals pathological changes in widespread diseases such as Parkinson's disease, Multiple Sclerosis, or hepatic iron overload. QSM requires multiple processing steps after the acquisition of magnetic resonanc...
Humans Magnetic Resonance Imaging Brain Deep Learning Artifacts Image Processing, Computer-Assisted
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Simulation-based deep artifact correction with Convolutional Neural Networks for limited angle artifacts.

Zeitschrift fur medizinische Physik Feb 14, 2019
Non-conventional scan trajectories for interventional three-dimensional imaging promise low-dose interventions and a better radiation protection to the personnel. Circular tomosynthesis (cTS) scan trajectories yield an anisotropical image quality dis...
Phantoms, Imaging Image Processing, Computer-Assisted Humans Artifacts Deep Learning Cone-Beam Computed Tomography
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ClinTAD: a tool for copy number variant interpretation in the context of topologically associated domains.

Journal of human genetics Feb 14, 2019
Standard clinical interpretation of DNA copy number variants (CNVs) identified by cytogenomic microarray involves examining protein-coding genes within the region and comparison to other CNVs. Emerging basic research suggests that CNVs can also exert...
Oligonucleotide Array Sequence Analysis DNA Copy Number Variations Gene Ontology Female Humans Polymorphism, Single Nucleotide Male Sequence Analysis, DNA User-Computer Interface
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Evaluating reinforcement learning agents for anatomical landmark detection.

Medical image analysis Feb 14, 2019
Automatic detection of anatomical landmarks is an important step for a wide range of applications in medical image analysis. Manual annotation of landmarks is a tedious task and prone to observer errors. In this paper, we evaluate novel deep reinforc...
Adult Heart Deep Learning Head Pregnancy Imaging, Three-Dimensional Magnetic Resonance Imaging Humans Female Anatomic Landmarks Brain
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