AIMC Topic: Multimodal Imaging

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A data-driven approach to prostate cancer detection from dynamic contrast enhanced MRI.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jul 5, 2014
Magnetic resonance imaging (MRI), particularly dynamic contrast enhanced (DCE) imaging, has shown great potential in prostate cancer diagnosis and staging. In the current practice of DCE-MRI, diagnosis is based on quantitative parameters extracted fr...
Computer Simulation Reproducibility of Results Aged Sensitivity and Specificity Magnetic Resonance Imaging Multimodal Imaging Principal Component Analysis Male Middle Aged Humans Machine Learning Algorithms Data Interpretation, Statistical Prostatic Neoplasms Image Interpretation, Computer-Assisted Pattern Recognition, Automated Image Enhancement
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Machine learning-based augmented reality for improved surgical scene understanding.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jun 19, 2014
In orthopedic and trauma surgery, AR technology can support surgeons in the challenging task of understanding the spatial relationships between the anatomy, the implants and their tools. In this context, we propose a novel augmented visualization of ...
Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Pattern Recognition, Automated Reproducibility of Results Image Enhancement Sensitivity and Specificity Humans Equipment Design Equipment Failure Analysis User-Computer Interface Machine Learning Surgery, Computer-Assisted Imaging, Three-Dimensional Algorithms Video Recording Multimodal Imaging
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Multimodal medical information retrieval with unsupervised rank fusion.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society May 23, 2014
Modern medical information retrieval systems are paramount to manage the insurmountable quantities of clinical data. These systems empower health care experts in the diagnosis of patients and play an important role in the clinical decision process. H...
Natural Language Processing Medical Subject Headings Vocabulary, Controlled PubMed Pattern Recognition, Automated Artificial Intelligence Terminology as Topic Documentation Algorithms Subtraction Technique Radiology Information Systems User-Computer Interface Information Storage and Retrieval Multimodal Imaging
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Comparing fusion techniques for the ImageCLEF 2013 medical case retrieval task.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Apr 24, 2014
Retrieval systems can supply similar cases with a proven diagnosis to a new example case under observation to help clinicians during their work. The ImageCLEFmed evaluation campaign proposes a framework where research groups can compare case-based re...
Information Storage and Retrieval User-Computer Interface Vocabulary, Controlled Artificial Intelligence Multimodal Imaging Pattern Recognition, Automated Subtraction Technique Algorithms Natural Language Processing Terminology as Topic Documentation Radiology Information Systems
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Evaluating performance of biomedical image retrieval systems--an overview of the medical image retrieval task at ImageCLEF 2004-2013.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Mar 27, 2014
Medical image retrieval and classification have been extremely active research topics over the past 15 years. Within the ImageCLEF benchmark in medical image retrieval and classification, a standard test bed was created that allows researchers to com...
Subtraction Technique Pattern Recognition, Automated Terminology as Topic Radiology Information Systems Vocabulary, Controlled User-Computer Interface Artificial Intelligence Natural Language Processing Multimodal Imaging Algorithms Documentation Information Storage and Retrieval
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Prediction of NIHSS Scores and Acute Ischemic Stroke Severity Using a Cross-attention Vision Transformer Model with Multimodal MRI.

Academic radiology Sep 1, 2025
RATIONALE AND OBJECTIVES: This study aimed to develop and evaluate models for classifying the severity of neurological impairment in acute ischemic stroke (AIS) patients using multimodal MRI data.
Severity of Illness Index Deep Learning Ischemic Stroke Humans Aged Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Retrospective Studies Diffusion Magnetic Resonance Imaging Sensitivity and Specificity Multimodal Imaging Female Male Middle Aged
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Deep learning model for malignancy prediction of TI-RADS 4 thyroid nodules with high-risk characteristics using multimodal ultrasound: A multicentre study.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Sep 1, 2025
The automatic screening of thyroid nodules using computer-aided diagnosis holds great promise in reducing missed and misdiagnosed cases in clinical practice. However, most current research focuses on single-modal images and does not fully leverage th...
Thyroid Neoplasms Adult Humans Image Interpretation, Computer-Assisted Male Ultrasonography Algorithms Middle Aged Elasticity Imaging Techniques Thyroid Nodule Female Deep Learning Multimodal Imaging
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Deep Learning-Based Multimodal Feature Interaction-Guided Fusion: Enhancing the Evaluation of EGFR in Advanced Lung Adenocarcinoma.

Academic radiology Sep 1, 2025
RATIONALE AND OBJECTIVES: The aim of this study is to develop a deep learning-based multimodal feature interaction-guided fusion (DL-MFIF) framework that integrates macroscopic information from computed tomography (CT) images with microscopic informa...
ErbB Receptors Adenocarcinoma of Lung Aged Male Middle Aged Deep Learning Lung Neoplasms Multimodal Imaging Mutation Radiographic Image Interpretation, Computer-Assisted Humans Retrospective Studies Tomography, X-Ray Computed Female
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Multimodal MRI radiomics enhances epilepsy prediction in pediatric low-grade glioma patients.

Journal of neuro-oncology Sep 1, 2025
BACKGROUND: Determining whether pediatric patients with low-grade gliomas (pLGGs) have tumor-related epilepsy (GAE) is a crucial aspect of preoperative evaluation. Therefore, we aim to propose an innovative, machine learning- and deep learning-based ...
Prognosis Female Radiomics Brain Neoplasms Humans Machine Learning Child Glioma Magnetic Resonance Imaging Multimodal Imaging Epilepsy Male Deep Learning Adolescent Child, Preschool Neoplasm Grading
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Artificial Intelligence-Driven Cancer Diagnostics: Enhancing Radiology and Pathology through Reproducibility, Explainability, and Multimodality.

Cancer research Jul 2, 2025
The integration of artificial intelligence (AI) in cancer research has significantly advanced radiology, pathology, and multimodal approaches, offering unprecedented capabilities in image analysis, diagnosis, and treatment planning. AI techniques pro...
Artificial Intelligence Reproducibility of Results Neoplasms Multimodal Imaging Radiology Humans
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