AIMC Topic: Magnetic Resonance Imaging

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Intralesional and perilesional radiomics strategy based on different machine learning for the prediction of international society of urological pathology grade group in prostate cancer.

BMC medical imaging Jul 4, 2025
OBJECTIVE: To develop and evaluate a intralesional and perilesional radiomics strategy based on different machine learning model to differentiate International Society of Urological Pathology (ISUP) grade > 2 group and ISUP ≤ 2 prostate cancers (PCa)...
Prostatic Neoplasms Neoplasm Grading Prostatectomy Male Middle Aged Magnetic Resonance Imaging Aged Sensitivity and Specificity Radiomics Humans Machine Learning
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Multi-modality radiomics diagnosis of breast cancer based on MRI, ultrasound and mammography.

BMC medical imaging Jul 4, 2025
OBJECTIVE: To develop a multi-modality machine learning-based radiomics model utilizing Magnetic Resonance Imaging (MRI), Ultrasound (US), and Mammography (MMG) for the differentiation of benign and malignant breast nodules.
Breast Neoplasms Radiomics Middle Aged Female Aged Adult Multimodal Imaging Diagnosis, Differential Ultrasonography, Mammary ROC Curve Magnetic Resonance Imaging Mammography Humans Machine Learning Retrospective Studies
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Medical slice transformer for improved diagnosis and explainability on 3D medical images with DINOv2.

Scientific reports Jul 4, 2025
Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) are essential clinical cross-sectional imaging techniques for diagnosing complex conditions. However, large 3D datasets with annotations for deep learning are scarce. While methods like DI...
Imaging, Three-Dimensional Female Humans Breast Neoplasms Neural Networks, Computer Image Processing, Computer-Assisted Deep Learning Tomography, X-Ray Computed Magnetic Resonance Imaging
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Intelligent brain tumor detection using hybrid finetuned deep transfer features and ensemble machine learning algorithms.

Scientific reports Jul 4, 2025
Brain tumours (BTs) are severe neurological disorders. They affect more than 308,000 people each year worldwide. The mortality rate is over 251,000 deaths annually (IARC, 2020 reports). Detecting BTs is complex because they vary in nature. Early diag...
Support Vector Machine Magnetic Resonance Imaging Algorithms Humans Brain Neoplasms Neural Networks, Computer Deep Learning Machine Learning
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A novel hybrid vision UNet architecture for brain tumor segmentation and classification.

Scientific reports Jul 3, 2025
This paper focuses on designing and developing novel architectures termed Hybrid Vision UNet-Encoder Decoder (HVU-ED) segmenter and Hybrid Vision UNet-Encoder (HVU-E) classifier for brain tumor segmentation and classification, respectively. The propo...
Humans Brain Neoplasms Image Processing, Computer-Assisted Neural Networks, Computer Support Vector Machine Machine Learning Magnetic Resonance Imaging Algorithms
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Influence of cognitive networks and task performance on fMRI-based state classification using DNN models.

Scientific reports Jul 3, 2025
Deep neural networks (DNNs) excel at extracting insights from complex data across various fields, however, their application in cognitive neuroscience remains limited, largely due to the lack of approaches with interpretability. Here, we employ two d...
Brain Female Young Adult Adult Male Cognition Humans Neural Networks, Computer Magnetic Resonance Imaging Memory, Short-Term Task Performance and Analysis
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Universal dimensions of visual representation.

Science advances Jul 2, 2025
Do visual neural networks learn brain-aligned representations because they share architectural constraints and task objectives with biological vision or because they share universal features of natural image processing? We characterized the universal...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Brain Mapping Humans Vision, Ocular Neural Networks, Computer Visual Perception Brain
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A dual path graph neural network framework for dementia diagnosis.

Scientific reports Jul 2, 2025
Dementia typically results from damage to neural pathways and the consequent degeneration of neuronal connections. Graph neural networks (GNNs) have been widely employed to model complex brain networks. However, leveraging the complementary temporal,...
Magnetic Resonance Imaging Humans Neural Networks, Computer Algorithms Nerve Net Brain Graph Neural Networks Dementia
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A deep learning model for early diagnosis of alzheimer's disease combined with 3D CNN and video Swin transformer.

Scientific reports Jul 2, 2025
Alzheimer's disease (AD) constitutes a neurodegenerative disorder predominantly observed in the geriatric population. If AD can be diagnosed early, both in terms of prevention and treatment, it is very beneficial to patients. Therefore, our team prop...
Early Diagnosis Imaging, Three-Dimensional Magnetic Resonance Imaging Alzheimer Disease Aged Humans Male Neural Networks, Computer Deep Learning Female
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Scalable geometric learning with correlation-based functional brain networks.

Scientific reports Jul 2, 2025
Correlation matrices serve as fundamental representations of functional brain networks in neuroimaging. Conventional analyses often treat pairwise interactions independently within Euclidean space, neglecting the underlying geometry of correlation st...
Brain Mapping Brain Nerve Net Humans Computer Simulation Electroencephalography Machine Learning Neuroimaging Magnetic Resonance Imaging Algorithms
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