AIMC Topic: Algorithms

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Semi-supervised medical image segmentation based on multi-stage iterative training and high-confidence pseudo-labeling.

Biomedical physics & engineering express Aug 6, 2025
Due to the scarcity and high cost of pixel-level annotations for training data, semi-supervised learning has gradually become a key solution. Most existing methods rely on consistency regularization and pseudo-label generation, often adopting multi-b...
Humans Algorithms Magnetic Resonance Imaging Heart Supervised Machine Learning Reproducibility of Results Image Processing, Computer-Assisted
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An improved domain-adversarial network for predicting hemodialysis adequacy.

Biomedical physics & engineering express Aug 6, 2025
Hemodialysis (HD) is the primary life-sustaining treatment for patients with end-stage renal disease (ESRD). However, current real-time monitoring methods during dialysis are costly, complex, and not widely adopted. Therefore, this study aims to prop...
Male Algorithms Female Deep Learning Humans Neural Networks, Computer Renal Dialysis Kidney Failure, Chronic
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PyNoetic: A modular python framework for no-code development of EEG brain-computer interfaces.

PloS one Aug 6, 2025
Electroencephalography (EEG)-based Brain-Computer Interfaces (BCIs) have emerged as a transformative technology with applications spanning robotics, virtual reality, medicine, and rehabilitation. However, existing BCI frameworks face several limitati...
Brain-Computer Interfaces Software Algorithms Electroencephalography Signal Processing, Computer-Assisted Brain Humans
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MSMCE: A novel representation module for classification of raw mass spectrometry data.

PloS one Aug 6, 2025
Mass spectrometry (MS) analysis plays a crucial role in the biomedical field; however, the high dimensionality and complexity of MS data pose significant challenges for feature extraction and classification. Deep learning has become a dominant approa...
Mass Spectrometry Algorithms Deep Learning Humans
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Bag-of-words is competitive with sum-of-embeddings language-inspired representations on protein inference.

PloS one Aug 6, 2025
Inferring protein function is a fundamental and long-standing problem in biology. Laboratory experiments in this field are often expensive, and therefore large-scale computational protein inference from readily available amino acid sequences is neede...
Sequence Analysis, Protein Natural Language Processing Algorithms Amino Acid Sequence Proteins Computational Biology Databases, Protein
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Retrospective Benchmarking and Novel Shape-Pharmacophore Based Implementation of the MORLD Method for the Autonomous Optimization of 3-Aroyl-1,4-diarylpyrroles (ARDAP).

Journal of chemical information and modeling Aug 5, 2025
The use of artificial intelligence (AI) is increasingly integral to the drug-discovery process, and among AI-driven methodologies, deep generative models stand out as one of the most promising approaches for hit identification and optimization. Here,...
Tubulin Pyrroles Tubulin Modulators Pharmacophore Drug Discovery Benchmarking Retrospective Studies Molecular Docking Simulation Algorithms
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Robust Quantum Reservoir Learning for Molecular Property Prediction.

Journal of chemical information and modeling Aug 5, 2025
Machine learning has been increasingly utilized in the field of biomedical research to accelerate the drug discovery process. In recent years, the emergence of quantum computing has led to the extensive exploration of quantum machine learning algorit...
Quantum Theory Algorithms Drug Discovery Machine Learning
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Interactive 3D segmentation for primary gross tumor volume in oropharyngeal cancer.

Scientific reports Aug 5, 2025
Radiotherapy is the main treatment modality of oropharyngeal cancer (OPC), in which an accurate segmentation of primary gross tumor volume (GTVt) is essential but also challenging due to significant interobserver variability and the time consumed in ...
Humans Imaging, Three-Dimensional Oropharyngeal Neoplasms Algorithms Tumor Burden Deep Learning
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Development and interpretation of a machine learning risk prediction model for post-stroke depression in a Chinese population.

Scientific reports Aug 5, 2025
Current evidence for predictive models of post-stroke depression (PSD) risk based on machine learning (ML) remains limited. The aim of this study is to develop a superior predictive model based on ML algorithms for PSD in the Chinese population. We r...
Middle Aged Risk Assessment Depression East Asian People Machine Learning Stroke China Algorithms Aged Retrospective Studies Male Humans Female Risk Factors
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YOLO-LeafNet: a robust deep learning framework for multispecies plant disease detection with data augmentation.

Scientific reports Aug 5, 2025
Plant diseases significantly harm crops, resulting in significant economic losses across the globe. In order to reduce the harm that these diseases produce, plant diseases must be diagnosed accurately and timely manner. In this work, a YOLO-LeafNet a...
Deep Learning Zea mays Capsicum Image Processing, Computer-Assisted Vitis Plant Leaves Plant Diseases Algorithms
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