AIMC Topic: Supervised Machine Learning

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Ensemble methods and partially-supervised learning for accurate and robust automatic murine organ segmentation.

Scientific reports Jul 2, 2025
Delineation of multiple organs in murine µCT images is crucial for preclinical studies but requires manual volumetric segmentation, a tedious and time-consuming process prone to inter-observer variability. Automatic deep learning-based segmentation c...
Reproducibility of Results Animals Deep Learning Mice Supervised Machine Learning X-Ray Microtomography Imaging, Three-Dimensional Image Processing, Computer-Assisted
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MS-EmoBoost: a novel strategy for enhancing self-supervised speech emotion representations.

Scientific reports Jul 1, 2025
Extracting richer emotional representations from raw speech is one of the key approaches to improving the accuracy of Speech Emotion Recognition (SER). In recent years, there has been a trend in utilizing self-supervised learning (SSL) for extracting...
Humans Speech Emotions Algorithms Supervised Machine Learning Speech Recognition Software
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Generative AI for weakly supervised segmentation and downstream classification of brain tumors on MR images.

Scientific reports Jul 1, 2025
Segmenting abnormalities is a leading problem in medical imaging. Using machine learning for segmentation generally requires manually annotated segmentations, demanding extensive time and resources from radiologists. We propose a weakly supervised ap...
Supervised Machine Learning Image Interpretation, Computer-Assisted Brain Neoplasms Child Glioma Magnetic Resonance Imaging Humans Image Processing, Computer-Assisted Machine Learning Algorithms
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A supervised machine learning approach with feature selection for sex-specific biomarker prediction.

NPJ systems biology and applications Jul 1, 2025
Biomarkers are crucial in aiding in disease diagnosis, prognosis, and treatment selection. Machine learning (ML) has emerged as an effective tool for identifying novel biomarkers and enhancing predictive modelling. However, sex-based bias in ML algor...
Uric Acid Supervised Machine Learning Sex Factors Body Mass Index Blood Pressure Waist Circumference Biomarkers Female Middle Aged Blood Glucose Male Humans Machine Learning Algorithms
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Spatial domain detection using contrastive self-supervised learning for spatial multi-omics technologies.

Genome research Jul 1, 2025
Recent advances in spatially resolved single-omic and multi-omics technologies have led to the emergence of computational tools to detect and predict spatial domains. Additionally, histological images and immunofluorescence (IF) staining of proteins ...
Proteomics Supervised Machine Learning Humans Computational Biology Multiomics Genomics
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Developing a predictive model for anticipating technology convergence: A transformer-based model and supervised learning approach.

PloS one Jun 26, 2025
This study proposes a novel approach to anticipating technology convergence in the bio-healthcare sector by integrating text mining based on transformer models and supervised learning methodologies. The overarching goal is to develop a robust method ...
Data Mining Deep Learning Models, Theoretical Supervised Machine Learning Humans
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CellSeg3D, Self-supervised 3D cell segmentation for fluorescence microscopy.

eLife Jun 24, 2025
Understanding the complex three-dimensional structure of cells is crucial across many disciplines in biology and especially in neuroscience. Here, we introduce a set of models including a 3D transformer (SwinUNetR) and a novel 3D self-supervised lear...
Humans Supervised Machine Learning Imaging, Three-Dimensional Software Mice Animals Microscopy, Fluorescence
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Quasi-supervised MR-CT image conversion based on unpaired data.

Physics in medicine and biology Jun 17, 2025
. In radiotherapy planning, acquiring both magnetic resonance (MR) and computed tomography (CT) images is crucial for comprehensive evaluation and treatment. However, simultaneous acquisition of MR and CT images is time-consuming, economically expens...
Magnetic Resonance Imaging Tomography, X-Ray Computed Humans Algorithms Supervised Machine Learning Image Processing, Computer-Assisted
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Assessing simulation-based supervised machine learning for demographic parameter inference from genomic data.

Heredity Jun 6, 2025
The ever-increasing availability of high-throughput DNA sequences and the development of numerous computational methods have led to considerable advances in our understanding of the evolutionary and demographic history of populations. Several demogra...
Neural Networks, Computer Machine Learning Algorithms Humans Genetics, Population Models, Genetic Computer Simulation Bayes Theorem Genomics Supervised Machine Learning
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A method for spatial interpretation of weakly supervised deep learning models in computational pathology.

Scientific reports Jun 5, 2025
Deep learning enables the modelling of high-resolution histopathology whole-slide images (WSI). Weakly supervised learning of tile-level data is typically applied for tasks where labels only exist on the patient or WSI level (e.g. patient outcomes or...
Image Processing, Computer-Assisted Supervised Machine Learning Humans Image Interpretation, Computer-Assisted Breast Neoplasms Algorithms Female Deep Learning
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