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magnetic resonance imaging

GeneTech 知识引擎共收录 78 篇相关科研实体，横跨 10 个垂直领域。数据来自 OpenAlex、arXiv、Crossref、PubMed、Europe PMC 等公开学术源，全部可溯源到原文。

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代表性文献（按质量分排序，前 60 条）

• AI Models for Surgical Decision Support in Spontaneous Intracerebral Hemorrhage: A Systematic Review in Relation to Trials and Guidelines.
  2026 · AI 安全与对齐 · Artificial intelligence (AI) applications for spontaneous intracerebral hemorrhage (ICH) are rapidly expanding, particularly in perioperative imaging analysis and surgical decision support. Because most predictive AI mod…
• MatMRI: A GPU enabled package for MRI image reconstruction and processing
  2026 · 脑科学 · MatMRI is a package for MRI image reconstruction and processing using only core or toolbox MATLAB® functions (i.e., no mex files or pre-compiled binaries). This philosophy is used to enable easy integration with built-in…
• MatMRI: A GPU enabled package for MRI image reconstruction and processing
  2026 · 脑科学 · MatMRI is a package for MRI image reconstruction and processing using only core or toolbox MATLAB® functions (i.e., no mex files or pre-compiled binaries). This philosophy is used to enable easy integration with built-in…
• Neural activations and representations during episodic versus semantic memory retrieval.
  2026 · 脑科学 · Although the distinction between episodic and semantic memory is supported by numerous neuropsychological studies, neuroimaging data have shown considerable overlap between regions that are activated during semantic and …
• Challenges of Open Neuroimaging Data Reuse: Anatomical Constraints and Guidelines for Thalamic Research
  2026 · 脑科学 · This work is being revised for peer reviewed publication. Abstract: Responsible reuse of open magnetic resonance imaging (MRI) datasets in the human subcortex is motivated by both practical and scientific arguments. Howe…
• Challenges of Open Neuroimaging Data Reuse: Anatomical Constraints and Guidelines for Thalamic Research
  2026 · 脑科学 · This work is being revised for peer reviewed publication. Abstract: Responsible reuse of open magnetic resonance imaging (MRI) datasets in the human subcortex is motivated by both practical and scientific arguments. Howe…
• Quantum spin resonance in engineered proteins for multimodal sensing
  2026 · 量子计算 · Abstract Sensing technologies that exploit quantum phenomena for measurement are finding increasing applications across materials, physical and biological sciences 1–7 . Until recently, biological candidates for quantum …
• Leveraging transformers and explainable AI for Alzheimer’s disease interpretability
  2025 · AI 安全与对齐 · Alzheimer's disease (AD) is a progressive brain ailment that causes memory loss, cognitive decline, and behavioral changes. It is quite concerning that one in nine adults over the age of 65 have AD. Currently there is al…
• AI improves consistency in regional brain volumes measured in ultra-low-field MRI and 3T MRI
  2025 · AI 安全与对齐 · This study compares volumetric measurements of various brain regions using different magnetic resonance imaging (MRI) modalities and deep learning models, specifically 3T MRI, ultra-low field (ULF) MRI at 64mT, and AI-en…
• A critical assessment of artificial intelligence in magnetic resonance imaging of cancer
  2025 · 医疗人工智能 · Given the enormous output and pace of development of artificial intelligence (AI) methods in medical imaging, it can be challenging to identify the true success stories to determine the state-of-the-art of the field. Thi…
• Deep learning-driven brain tumor classification and segmentation using non-contrast MRI
  2025 · 仿生智能 · This study aims to enhance the accuracy and efficiency of MRI-based brain tumor diagnosis by leveraging deep learning (DL) techniques applied to multichannel MRI inputs. MRI data were collected from 203 subjects, includi…
• XAI-MRI: an ensemble dual-modality approach for 3D brain tumor segmentation using magnetic resonance imaging
  2025 · 仿生智能 · Brain tumor segmentation from Magnetic Resonance Images (MRI) presents significant challenges due to the complex nature of brain tumor tissues. This complexity poses a significant challenge in distinguishing tumor tissue…
• Current progress of digital twin construction using medical imaging
  2025 · 数字孪生 · Medical imaging is fundamental to digital twin technology, enabling patient-specific virtual models of anatomy and physiology. By integrating high-resolution modalities (Magnetic Resonance Imaging (MRI), Computed Tomogra…
• The Imaging Database for Epilepsy And Surgery ( IDEAS )
  2024 · AI 安全与对齐 · OBJECTIVE: Magnetic resonance imaging (MRI) is a crucial tool for identifying brain abnormalities in a wide range of neurological disorders. In focal epilepsy, MRI is used to identify structural cerebral abnormalities. F…
• Biological and Procedural Predictors of Outcome in the Stroke Preclinical Assessment Network (SPAN) Trial
  2024 · 生物计算 · BACKGROUND: The SPAN trial (Stroke Preclinical Assessment Network) is the largest preclinical study testing acute stroke interventions in experimental focal cerebral ischemia using endovascular filament middle cerebral a…
• Cloud-magnetic resonance imaging system: In the era of 6G and artificial intelligence
  2024 · 医疗人工智能 · Magnetic resonance imaging (MRI) plays an important role in medical diagnosis, generating petabytes of image data annually in large hospitals. This voluminous data stream requires a significant amount of network bandwidt…
• Temporomandibular joint assessment in MRI images using artificial intelligence tools: where are we now? A systematic review
  2024 · 医疗人工智能 · OBJECTIVES: To summarize the current evidence on the performance of artificial intelligence (AI) algorithms for the temporomandibular joint (TMJ) disc assessment and TMJ internal derangement diagnosis in magnetic resonan…
• Design, construction and validation of a magnetic particle imaging (MPI) system for human brain imaging
  2024 · 仿生智能 · Abstract Objective. Magnetic particle imaging (MPI) was introduced in 2005 as a promising, tracer-based medical imaging modality with the potential for high sensitivity and spatial resolution. Since then, numerous precli…
• Clinical electromagnetic brain scanner
  2024 · 仿生智能 · Stroke is a leading cause of death and disability worldwide, and early diagnosis and prompt medical intervention are thus crucial. Frequent monitoring of stroke patients is also essential to assess treatment efficacy and…
• Systematic review and meta-analysis of automated methods for quantifying enlarged perivascular spaces in the brain
  2024 · 仿生智能 · Research into magnetic resonance imaging (MRI)-visible perivascular spaces (PVS) has recently increased, as results from studies in different diseases and populations are cementing their association with sleep, disease p…
• Brain Tumor Detection Using Magnetic Resonance Imaging and Convolutional Neural Networks
  2024 · 仿生智能 · Early and precise detection of brain tumors is critical for improving clinical outcomes and patient quality of life. This research focused on developing an image classifier using convolutional neural networks (CNN) to de…
• The heartbeat induces local volumetric compression in the healthy human brain: a 7 T magnetic resonance imaging study on brain tissue pulsations
  2024 · 仿生智能 · Intracerebral blood volume changes along the cardiac cycle cause volumetric strain in brain tissue, measurable with displacement encoding with stimulated echoes (DENSE) magnetic resonance imaging. Individual volumetric s…
• Neuroscience meets behavior: A systematic literature review on magnetic resonance imaging of the brain combined with real‐world digital phenotyping
  2024 · 脑科学 · A primary goal of neuroscience is to understand the relationship between the brain and behavior. While magnetic resonance imaging (MRI) examines brain structure and function under controlled conditions, digital phenotypi…
• The role of AI in prostate MRI quality and interpretation: Opportunities and challenges
  2023 · AI 安全与对齐 · Prostate MRI plays an important role in imaging the prostate gland and surrounding tissues, particularly in the diagnosis and management of prostate cancer. With the widespread adoption of multiparametric magnetic resona…
• The Role of Artificial Intelligence in Echocardiography
  2023 · 医疗人工智能 · Echocardiography is an integral part of the diagnosis and management of cardiovascular disease. The use and application of artificial intelligence (AI) is a rapidly expanding field in medicine to improve consistency and …
• Artificial Intelligence Applications in Glioma With 1p/19q Co‐Deletion: A Systematic Review
  2023 · 医疗人工智能 · As an important genomic marker for oligodendrogliomas, early determination of 1p/19q co-deletion status is critical for guiding therapy and predicting prognosis in patients with glioma. The purpose of this study is to sy…
• Artificial Intelligence in CT and MR Imaging for Oncological Applications
  2023 · 医疗人工智能 · Cancer care increasingly relies on imaging for patient management. The two most common cross-sectional imaging modalities in oncology are computed tomography (CT) and magnetic resonance imaging (MRI), which provide high-…
• Artificial intelligence-based diagnosis of Alzheimer's disease with brain MRI images
  2023 · 医疗人工智能 · Alzheimer's disease, a primary neurodegenerative condition, predominantly impacts the elderly and pre-elderly population. This progressive neurological disorder is characterized by an array of symptoms including memory l…
• Brain tumor detection and segmentation: Interactive framework with a visual interface and feedback facility for dynamically improved accuracy and trust
  2023 · 仿生智能 · Brain cancers caused by malignant brain tumors are one of the most fatal cancer types with a low survival rate mostly due to the difficulties in early detection. Medical professionals therefore use various invasive and n…
• Radiomics and Machine Learning in Brain Tumors and Their Habitat: A Systematic Review
  2023 · 仿生智能 · Radiomics is a rapidly evolving field that involves extracting and analysing quantitative features from medical images, such as computed tomography or magnetic resonance images. Radiomics has shown promise in brain tumor…
• Incorporating the effect of white matter microstructure in the estimation of magnetic susceptibility in ex vivo mouse brain
  2023 · 仿生智能 · Abstract Purpose To extend quantitative susceptibility mapping to account for microstructure of white matter (WM) and demonstrate its effect on ex vivo mouse brain at 16.4T. Theory and Methods Previous studies have shown…
• Predicting Brain Age using Machine Learning Algorithms : A Comprehensive Evaluation
  2023 · 脑科学 · Medical imaging is gaining importance with an increase in the demand for automated, reliable, fast and efficient diagnosis which can provide insight into the image better than human eyes. The brain tumor is the second le…
• Predicting Brain Age using Machine Learning Algorithms : A Comprehensive Evaluation
  2023 · 脑科学 · Medical imaging is gaining importance with an increase in the demand for automated, reliable, fast and efficient diagnosis which can provide insight into the image better than human eyes. The brain tumor is the second le…
• Efficacy and Safety of Quantum Molecular Resonance Electrotherapy in Patients with Aqueous-Deficient, Evaporative and Mixed-Type Dry Eye: A Randomized Interventional Study
  2023 · 量子材料 · INTRODUCTION: To evaluate the efficacy and safety of Quantum Molecular Resonance (QMR) treatment in patients with severe dry eye disease (DED), as well as its effects on aqueous-deficient (ADDE), evaporative (EDE), and m…
• Causal generative modeling in 3D neuroimaging of healthy aging and disease
  2026 · 脑科学 · In recent years, deep learning methods have demonstrated remarkable performance in medical image analysis. However, most existing approaches remain fundamentally correlation-based, making them vul-nerable to shortcut lea…
• ResSAXU-Net for multimodal brain tumor segmentation from brain MRI
  2025 · 仿生智能 · Glioma, the most common brain tumour, carries the highest risk of death. Successful treatment planning and the accurate diagnosis of glioma depend heavily on magnetic resonance imaging (MRI). Classification of brain tumo…
• Applications of artificial intelligence in obstetrics
  2022 · 医疗人工智能 · Artificial intelligence, which has been applied as an innovative technology in multiple fields of healthcare, analyzes large amounts of data to assist in disease prediction, prevention, and diagnosis, as well as in patie…
• Deep Learning for Smart Healthcare—A Survey on Brain Tumor Detection from Medical Imaging
  2022 · 医疗人工智能 · Advances in technology have been able to affect all aspects of human life. For example, the use of technology in medicine has made significant contributions to human society. In this article, we focus on technology assis…
• A Review on Data Fusion of Multidimensional Medical and Biomedical Data
  2022 · 医疗人工智能 · Data fusion aims to provide a more accurate description of a sample than any one source of data alone. At the same time, data fusion minimizes the uncertainty of the results by combining data from multiple sources. Both …
• Magnetic resonance image-based brain tumour segmentation methods: A systematic review
  2022 · 仿生智能 · Background: Image segmentation is an essential step in the analysis and subsequent characterisation of brain tumours through magnetic resonance imaging. In the literature, segmentation methods are empowered by open-acces…
• Advances of Artificial Intelligence Application in Medical Imaging of Ovarian Cancers
  2021 · 医疗人工智能 · Ovarian cancer is one of the three most common gynecological cancers in the world, and is regarded as a priority in terms of women's cancer. In the past few years, many researchers have attempted to develop and apply art…
• In vivo imaging of phosphocreatine with artificial neural networks
  2020 · AI 安全与对齐 · Abstract Phosphocreatine (PCr) plays a vital role in neuron and myocyte energy homeostasis. Currently, there are no routine diagnostic tests to noninvasively map PCr distribution with clinically relevant spatial resoluti…
• Canadian Medical Imaging Inventory 2022–2023: MRI
  2024 · 医疗人工智能 · MRI is a noninvasive imaging modality that uses powerful electromagnetic and radiofrequency fields to produce cross-sectional images of the body. MRI is primarily used for neurologic exams (28%), followed by musculoskele…
• Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
  2018 · 生物计算 · Gliomas are the most common primary brain malignancies, with different degrees of aggressiveness, variable prognosis and various heterogeneous histologic sub-regions, i.e., peritumoral edematous/invaded tissue, necrotic …
• A fuzzy feature fusion method for auto-segmentation of gliomas with multi-modality diffusion and perfusion magnetic resonance images in radiotherapy
  2018 · 核能 · The diffusion and perfusion magnetic resonance (MR) images can provide functional information about tumour and enable more sensitive detection of the tumour extent. We aimed to develop a fuzzy feature fusion method for a…
• Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features
  2017 · 生物计算 · Gliomas belong to a group of central nervous system tumors, and consist of various sub-regions. Gold standard labeling of these sub-regions in radiographic imaging is essential for both clinical and computational studies…
• Clinical Evaluation of a Fully-automatic Segmentation Method for Longitudinal Brain Tumor Volumetry
  2016 · 仿生智能 · Information about the size of a tumor and its temporal evolution is needed for diagnosis as well as treatment of brain tumor patients. The aim of the study was to investigate the potential of a fully-automatic segmentati…
• A dedicated neonatal brain imaging system
  2016 · 脑科学 · PURPOSE: The goal of the Developing Human Connectome Project is to acquire MRI in 1000 neonates to create a dynamic map of human brain connectivity during early development. High-quality imaging in this cohort without se…
• In vivo detection of nerve injury in familial amyloid polyneuropathy by magnetic resonance neurography
  2014 · AI 安全与对齐 · Transthyretin familial amyloid polyneuropathy is a rare, autosomal-dominant inherited multisystem disorder usually manifesting with a rapidly progressive, axonal, distally-symmetric polyneuropathy. The detection of nerve…
• OPTIMIZING A PROTOCOL FOR1H‐MAGNETIC RESONANCE SPECTROSCOPY OF THE CANINE BRAIN AT 3T
  2013 · 仿生智能 · Intracranial diseases are common in dogs and improved noninvasive diagnostic tests are needed. Magnetic resonance (MR) spectroscopy is a technique used in conjunction with conventional MR imaging to characterize focal an…
• Prospective motion correction in brain imaging: A review
  2012 · 仿生智能 · Motion correction in magnetic resonance imaging by real-time adjustment of the imaging pulse sequence was first proposed more than 20 years ago. Recent advances have resulted from combining real-time correction with new …
• Brain Imaging in Alzheimer Disease
  2012 · 脑科学 · Imaging has played a variety of roles in the study of Alzheimer disease (AD) over the past four decades. Initially, computed tomography (CT) and then magnetic resonance imaging (MRI) were used diagnostically to rule out …
• Prospective motion correction in brain imaging: A review
  2012 · 脑科学 · Motion correction in magnetic resonance imaging by real-time adjustment of the imaging pulse sequence was first proposed more than 20 years ago. Recent advances have resulted from combining real-time correction with new …
• Comparison ofin vitrobreast cancer visibility in analyser-based computed tomography with histopathology, mammography, computed tomography and magnetic resonance imaging
  2011 · 生物计算 · High-resolution analyser-based X-ray imaging computed tomography (HR ABI-CT) findings on in vitro human breast cancer are compared with histopathology, mammography, computed tomography (CT) and magnetic resonance imaging…
• Prostate Cancer: Multiparametric MR Imaging for Detection, Localization, and Staging
  2011 · 仿生智能 · This review presents the current state of the art regarding multiparametric magnetic resonance (MR) imaging of prostate cancer. Technical requirements and clinical indications for the use of multiparametric MR imaging in…
• 2P2-L09 Motion simulator for lower extremities in high magnetic field(Neurorobotics & Cognitive Robotics)
  2011 · 仿生智能 · This paper proposes a basic mechanism of a motion simulator for lower extremities of human in high magnetic field. The motion simulator would provide a wearer with physical supports or physical constrains during walking …
• Additive manufacturing models of fetuses built from three‐dimensional ultrasound, magnetic resonance imaging and computed tomography scan data
  2010 · 数字孪生 · OBJECTIVE: To generate physical fetal models using images obtained by three-dimensional ultrasonography (3DUS), magnetic resonance imaging (MRI) and computed tomography (CT) to guide additive manufacturing technology. ME…
• A review of imaging techniques for systems biology
  2008 · 量子材料 · This paper presents a review of imaging techniques and of their utility in system biology. During the last decade systems biology has matured into a distinct field and imaging has been increasingly used to enable the int…
• Automatic navigation of an untethered device in the artery of a living animal using a conventional clinical magnetic resonance imaging system
  2007 · 生物计算 · The feasibility for in vivo navigation of untethered devices or robots is demonstrated with the control and tracking of a 1.5mm diameter ferromagnetic bead in the carotid artery of a living swine using a clinical magneti…
• Diagnostic strategies for unknown primary cancer
  2004 · 生物计算 · Unknown primary cancer (UPC) is defined by the presence of metastatic disease for which a primary site is undetectable on presentation. Computed tomography scan of the body was performed routinely in search of the primar…

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