AIMC Topic: Datasets as Topic

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Learning from small datasets-review of workshop 6 of the 10th International BCI Meeting 2023.

Journal of neural engineering Jun 24, 2025
In a brain-computer interface (BCI), a primary objective is to reduce calibration time by recording as few as possible novel data points to (re-)train decoder models.Minimizing the calibration can be crucial for enhancing the usability of a BCI appli...
Education Brain-Computer Interfaces Congresses as Topic Humans Machine Learning Electroencephalography Datasets as Topic Deep Learning
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Out-of-distribution reject option method for dataset shift problem in early disease onset prediction.

Scientific reports Jun 2, 2025
Machine learning is increasingly used to predict lifestyle-related disease onset using health and medical data. However, its predictive accuracy for use is often hindered by dataset shift, which refers to discrepancies in data distribution between th...
Dyslipidemias Datasets as Topic Hypertension Diabetes Mellitus Humans Neural Networks, Computer Female Male Machine Learning
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A digital photography dataset for Vaccinia Virus plaque quantification using Deep Learning.

Scientific data Apr 30, 2025
Virological plaque assay is the major method of detecting and quantifying infectious viruses in research and diagnostic samples. Furthermore, viral plaque phenotypes contain information about the life cycle and spreading mechanism of the virus formin...
Deep Learning Viral Plaque Assay Datasets as Topic Image Processing, Computer-Assisted Photography Vaccinia virus
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Medical image translation with deep learning: Advances, datasets and perspectives.

Medical image analysis Apr 27, 2025
Traditional medical image generation often lacks patient-specific clinical information, limiting its clinical utility despite enhancing downstream task performance. In contrast, medical image translation precisely converts images from one modality to...
Humans Diagnostic Imaging Neural Networks, Computer Deep Learning Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Datasets as Topic
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Diabetic retinopathy detection based on mobile maxout network and weber local descriptor feature selection using retinal fundus image.

Scientific reports Apr 22, 2025
Retinal screening provides for earlier detection of diabetic retinopathy (DR) as well as prompt diagnosis. Recognizing DR utilizing color fundus imaging needs qualified specialists to know about the presence and significance of a few insignificant fe...
Humans Diabetic Retinopathy Sensitivity and Specificity Convolutional Neural Networks Datasets as Topic Retina
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Empowering entity synonym set generation using flexible perceptual field and multi-layer contextual information.

PloS one Apr 21, 2025
Automatic generation of entity synonyms plays a pivotal role in various natural language processing applications, such as search engines, question-answering systems, and taxonomy construction. Previous research on generating entity synonym sets has t...
Natural Language Processing Neural Networks, Computer Vocabulary Datasets as Topic Algorithms
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Feasibility of U-Net model for cerebral arteries segmentation with low-dose computed tomography angiographic images with pre-processing methods.

Scientific reports Apr 17, 2025
Subtraction computed tomography angiography (sCTA) can effectively separate enhanced cerebral arteries from similar signal intensity and proximity (i.e., vertebrae and skull). However, sCTA is not considered mainstream because of the high radiation d...
Cerebral Arteries Datasets as Topic Radiation Dosage Computed Tomography Angiography Deep Learning Humans Image Processing, Computer-Assisted Algorithms
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AI drug development's data problem.

Science (New York, N.Y.) Apr 10, 2025
The future of drug discovery may be artificial intelligence (AI), but its present is not. AI is in its infancy in the field. To help AI mature, developers need nonproprietary, open, large, high-quality datasets to train and validate models, managed b...
Humans Machine Learning Drug Discovery Artificial Intelligence Drug Development Datasets as Topic
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Identifying chemotherapy beneficiaries in nasal and paranasal sinus cancers: epidemiological trends and machine learning insights.

European journal of medical research Apr 1, 2025
BACKGROUND: Studies on the epidemiological characteristics, treatment strategies and prognosis of nasal and paranasal sinus cancer are still relatively limited.
Datasets as Topic Paranasal Sinus Neoplasms Incidence Area Under Curve Female Aged Male Middle Aged Aged, 80 and over Humans Machine Learning Prognosis
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PET and CT based DenseNet outperforms advanced deep learning models for outcome prediction of oropharyngeal cancer.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Mar 19, 2025
BACKGROUND: In the HECKTOR 2022 challenge set [1], several state-of-the-art (SOTA, achieving best performance) deep learning models were introduced for predicting recurrence-free period (RFP) in head and neck cancer patients using PET and CT images.
Humans Aged Male Middle Aged Tomography, X-Ray Computed Female Deep Learning Positron Emission Tomography Computed Tomography Convolutional Neural Networks Datasets as Topic Oropharyngeal Neoplasms
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