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• Imaging of Fiber-Like Structures in Digital Breast Tomosynthesis
  Fiber-like features are an important aspect of breast imaging. Vessels and ducts are present in all breast images, and spiculations radiating from a mass can indicate malignancy. Accordingly, fiber objects are one of the three types of signals used in the Amer…
  arxiv Sean D. Rose, Emil Y. Sidky, Ingrid Reiser, Xiaochuan Pan 2018-04-28T14:57:53Z 置信度 0.78 physics.med-ph
• Registration of Standardized Histological Images in Feature Space
  In this paper, we propose three novel and important methods for the registration of histological images for 3D reconstruction. First, possible intensity variations and nonstandardness in images are corrected by an intensity standardization process which maps t…
  arxiv Ulas Bagci, Li Bai 2009-07-18T11:28:41Z 置信度 0.78 cs.CV
• Relaxed Linearized Algorithms for Faster X-Ray CT Image Reconstruction
  Statistical image reconstruction (SIR) methods are studied extensively for X-ray computed tomography (CT) due to the potential of acquiring CT scans with reduced X-ray dose while maintaining image quality. However, the longer reconstruction time of SIR methods…
  arxiv Hung Nien, Jeffrey A. Fessler 2015-12-14T21:31:23Z 置信度 0.78 math.OCcs.LGstat.ML
• Interpretable Graph Convolutional Network of Multi-Modality Brain Imaging for Alzheimer's Disease Diagnosis
  Identification of brain regions related to the specific neurological disorders are of great importance for biomarker and diagnostic studies. In this paper, we propose an interpretable Graph Convolutional Network (GCN) framework for the identification and class…
  arxiv Houliang Zhou, Lifang He, Yu Zhang, Li Shen 等 2022-04-27T20:43:11Z 置信度 0.78 cs.LGcs.CVeess.IV
• Adaptive Local Neighborhood-based Neural Networks for MR Image Reconstruction from Undersampled Data
  Recent medical image reconstruction techniques focus on generating high-quality medical images suitable for clinical use at the lowest possible cost and with the fewest possible adverse effects on patients. Recent works have shown significant promise for recon…
  arxiv Shijun Liang, Anish Lahiri, Saiprasad Ravishankar 2022-06-01T21:37:03Z 置信度 0.78 eess.IVcs.LG
• Dual-cycle Constrained Bijective VAE-GAN For Tagged-to-Cine Magnetic Resonance Image Synthesis
  Tagged magnetic resonance imaging (MRI) is a widely used imaging technique for measuring tissue deformation in moving organs. Due to tagged MRI's intrinsic low anatomical resolution, another matching set of cine MRI with higher resolution is sometimes acquired…
  arxiv Xiaofeng Liu, Fangxu Xing, Jerry L. Prince, Aaron Carass 等 2021-01-14T03:27:16Z 置信度 0.78 eess.IVcs.CV
• Federated Learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data
  At this moment, databanks worldwide contain brain images of previously unimaginable numbers. Combined with developments in data science, these massive data provide the potential to better understand the genetic underpinnings of brain diseases. However, differe…
  arxiv Santiago Silva, Boris Gutman, Eduardo Romero, Paul M Thompson 等 2018-10-19T15:36:35Z 置信度 0.78 stat.MLcs.LGq-bio.NCq-bio.QM
• Optimized $k$-means color quantization of digital images in machine-based and human perception-based colorspaces
  Color quantization represents an image using a fraction of its original number of colors while only minimally losing its visual quality. The $k$-means algorithm is commonly used in this context, but has mostly been applied in the machine-based RGB colorspace c…
  arxiv Ranjan Maitra 2026-01-27T02:42:11Z 置信度 0.78 eess.IVcs.CVstat.AP
• Fully Automated Myocardial Strain Estimation from CMR Tagged Images using a Deep Learning Framework in the UK Biobank
  Purpose: To demonstrate the feasibility and performance of a fully automated deep learning framework to estimate myocardial strain from short-axis cardiac magnetic resonance tagged images. Methods and Materials: In this retrospective cross-sectional study, 450…
  arxiv Edward Ferdian, Avan Suinesiaputra, Kenneth Fung, Nay Aung 等 2020-04-15T12:49:15Z 置信度 0.78 eess.IVcs.CVphysics.med-ph
• 3D Shape-to-Image Brownian Bridge Diffusion for Brain MRI Synthesis from Cortical Surfaces
  Despite recent advances in medical image generation, existing methods struggle to produce anatomically plausible 3D structures. In synthetic brain magnetic resonance images (MRIs), characteristic fissures are often missing, and reconstructed cortical surfaces …
  arxiv Fabian Bongratz, Yitong Li, Sama Elbaroudy, Christian Wachinger 2025-02-18T10:59:04Z 置信度 0.78 cs.CV
• Multi-Objective Dual Simplex-Mesh Based Deformable Image Registration for 3D Medical Images -- Proof of Concept
  Reliably and physically accurately transferring information between images through deformable image registration with large anatomical differences is an open challenge in medical image analysis. Most existing methods have two key shortcomings: first, they requ…
  arxiv Georgios Andreadis, Peter A. N. Bosman, Tanja Alderliesten 2022-02-22T16:07:29Z 置信度 0.78 cs.CVcs.AIcs.NE
• A Self Supervised StyleGAN for Image Annotation and Classification with Extremely Limited Labels
  The recent success of learning-based algorithms can be greatly attributed to the immense amount of annotated data used for training. Yet, many datasets lack annotations due to the high costs associated with labeling, resulting in degraded performances of deep …
  arxiv Dana Cohen Hochberg, Hayit Greenspan, Raja Giryes 2023-12-26T09:46:50Z 置信度 0.78 eess.IVcs.CVcs.LG
• Visual Search Patterns in 3D Pancreatic Imaging: An Eye Tracking Study
  Eye tracking has emerged as a powerful tool for examining visual perception and search strategies in various domains, including medicine. While it is relatively straightforward to apply in 2D settings, its use in 3D medical imaging remains challenging and not …
  arxiv Anna Anikina, Leila Khaertdinova, Trine Balschmidt, Michael B Andersen 等 2026-05-13T12:26:16Z 置信度 0.78 cs.CV
• Generating Magnetic Resonance Spectroscopy Imaging Data of Brain Tumours from Linear, Non-Linear and Deep Learning Models
  Magnetic Resonance Spectroscopy (MRS) provides valuable information to help with the identification and understanding of brain tumors, yet MRS is not a widely available medical imaging modality. Aiming to counter this issue, this research draws on the advancem…
  arxiv Nathan J Olliverre, Guang Yang, Gregory Slabaugh, Constantino Carlos Reyes-Aldasoro 等 2018-08-23T00:02:31Z 置信度 0.78 cs.CV
• The Scalable Brain Atlas: instant web-based access to public brain atlases and related content
  The Scalable Brain Atlas (SBA) is a collection of web services that provide unified access to a large collection of brain atlas templates for different species. Its main component is an atlas viewer that displays brain atlas data as a stack of slices in which …
  arxiv Rembrandt Bakker, Paul Tiesinga, Rolf Kötter 2013-12-21T22:03:24Z 置信度 0.78 q-bio.NC
• Deep learning for automated detection of breast cancer in deep ultraviolet fluorescence images with diffusion probabilistic model
  Data limitation is a significant challenge in applying deep learning to medical images. Recently, the diffusion probabilistic model (DPM) has shown the potential to generate high-quality images by converting Gaussian random noise into realistic images. In this…
  arxiv Sepehr Salem Ghahfarokhi, Tyrell To, Julie Jorns, Tina Yen 等 2024-07-01T05:00:26Z 置信度 0.78 cs.CVcs.AI
• A Jones matrix formalism for simulating three-dimensional polarized light imaging of brain tissue
  The neuroimaging technique three-dimensional polarized light imaging (3D-PLI) provides a high-resolution reconstruction of nerve fibres in human post-mortem brains. The orientations of the fibres are derived from birefringence measurements of histological brai…
  arxiv Miriam Menzel, Kristel Michielsen, Hans De Raedt, Julia Reckfort 等 2015-06-09T09:24:10Z 置信度 0.78 physics.med-phphysics.optics
• Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain Images
  Segmentation masks of pathological areas are useful in many medical applications, such as brain tumour and stroke management. Moreover, healthy counterfactuals of diseased images can be used to enhance radiologists' training files and to improve the interpreta…
  arxiv Alessandro Fontanella, Grant Mair, Joanna Wardlaw, Emanuele Trucco 等 2023-08-03T21:56:50Z 置信度 0.78 eess.IVcs.CV
• A Survey on Deep Learning-based Non-Invasive Brain Signals:Recent Advances and New Frontiers
  Brain-Computer Interface (BCI) bridges the human's neural world and the outer physical world by decoding individuals' brain signals into commands recognizable by computer devices. Deep learning has lifted the performance of brain-computer interface systems sig…
  arxiv Xiang Zhang, Lina Yao, Xianzhi Wang, Jessica Monaghan 等 2019-05-10T13:04:00Z 置信度 0.78 cs.HCcs.LGeess.SPq-bio.NC
• Voxel selection framework based on meta-heuristic search and mutual information for brain decoding
  Visual stimulus decoding is an increasingly important challenge in neuroscience. The goal is to classify the activity patterns from the human brain; during the sighting of visual objects. One of the crucial problems in the brain decoder is the selecting inform…
  arxiv Osama Hourani, Nasrollah Moghadam Charkari, Saeed Jalili 2021-07-29T13:53:24Z 置信度 0.78 q-bio.NC
• Multi-modal unsupervised brain image registration using edge maps
  Diffeomorphic deformable multi-modal image registration is a challenging task which aims to bring images acquired by different modalities to the same coordinate space and at the same time to preserve the topology and the invertibility of the transformation. Re…
  arxiv Vasiliki Sideri-Lampretsa, Georgios Kaissis, Daniel Rueckert 2022-02-09T15:50:14Z 置信度 0.78 eess.IVcs.AIcs.CV
• Normative Modeling using Multimodal Variational Autoencoders to Identify Abnormal Brain Structural Patterns in Alzheimer Disease
  Normative modelling is an emerging method for understanding the underlying heterogeneity within brain disorders like Alzheimer Disease (AD) by quantifying how each patient deviates from the expected normative pattern that has been learned from a healthy contro…
  arxiv Sayantan Kumar, Philip Payne, Aristeidis Sotiras 2021-10-10T20:55:34Z 置信度 0.78 eess.IVcs.LG
• PSIGAN: Joint probabilistic segmentation and image distribution matching for unpaired cross-modality adaptation based MRI segmentation
  We developed a new joint probabilistic segmentation and image distribution matching generative adversarial network (PSIGAN) for unsupervised domain adaptation (UDA) and multi-organ segmentation from magnetic resonance (MRI) images. Our UDA approach models the …
  arxiv Jue Jiang, Yu Chi Hu, Neelam Tyagi, Andreas Rimner 等 2020-07-18T16:23:02Z 置信度 0.78 eess.IVcs.CV
• Fast uncertainty quantification of tracer distribution in the brain interstitial fluid with multilevel and quasi Monte Carlo
  Efficient uncertainty quantification algorithms are key to understand the propagation of uncertainty -- from uncertain input parameters to uncertain output quantities -- in high resolution mathematical models of brain physiology. Advanced Monte Carlo methods s…
  arxiv Matteo Croci, Vegard Vinje, Marie E. Rognes 2020-03-04T20:10:36Z 置信度 0.78 cs.CEmath.NAstat.CO
• Structure-preserving Guided Retinal Image Filtering and Its Application for Optic Disc Analysis
  Retinal fundus photographs have been used in the diagnosis of many ocular diseases such as glaucoma, pathological myopia, age-related macular degeneration and diabetic retinopathy. With the development of computer science, computer aided diagnosis has been dev…
  arxiv Jun Cheng, Zhengguo Li, Zaiwang Gu, Huazhu Fu 等 2018-05-17T07:17:51Z 置信度 0.78 cs.CV
• Language models align with brain regions that represent concepts across modalities
  Cognitive science and neuroscience have long faced the challenge of disentangling representations of language from representations of conceptual meaning. As the same problem arises in today's language models (LMs), we investigate the relationship between LM--b…
  arxiv Maria Ryskina, Greta Tuckute, Alexander Fung, Ashley Malkin 等 2025-08-15T15:32:19Z 置信度 0.78 cs.CL
• Reproducible Evaluation of Data Augmentation and Loss Functions for Brain Tumor Segmentation
  Brain tumor segmentation is crucial for diagnosis and treatment planning, yet challenges such as class imbalance and limited model generalization continue to hinder progress. This work presents a reproducible evaluation of U-Net segmentation performance on bra…
  arxiv Saumya B 2025-10-08T06:15:28Z 置信度 0.78 cs.CVcs.LG
• Deep Autoencoding Models for Unsupervised Anomaly Segmentation in Brain MR Images
  Reliably modeling normality and differentiating abnormal appearances from normal cases is a very appealing approach for detecting pathologies in medical images. A plethora of such unsupervised anomaly detection approaches has been made in the medical domain, b…
  arxiv Christoph Baur, Benedikt Wiestler, Shadi Albarqouni, Nassir Navab 2018-04-12T13:13:29Z 置信度 0.78 cs.CV
• Model-Based Photoacoustic Image Reconstruction using Compressed Sensing and Smoothed L0 Norm
  Photoacoustic imaging (PAI) is a novel medical imaging modality that uses the advantages of the spatial resolution of ultrasound imaging and the high contrast of pure optical imaging. Analytical algorithms are usually employed to reconstruct the photoacoustic …
  arxiv Moein Mozaffarzadeh, Ali Mahloojifar, Mohammadreza Nasiriavanaki, Mahdi Orooji 2018-02-26T14:22:19Z 置信度 0.78 eess.SP
• Dynamical signatures of structural connectivity damage to a model of the brain posed at criticality
  Synchronization of brain activity fluctuations is believed to represent communication between spatially distant neural processes. These inter-areal functional interactions develop in the background of a complex network of axonal connections linking cortical an…
  arxiv Ariel Haimovici, Pablo Balenzuela, Enzo Tagliazucchi 2016-11-09T17:48:45Z 置信度 0.78 q-bio.NC
• Let's Enhance: A Deep Learning Approach to Extreme Deblurring of Text Images
  This work presents a novel deep-learning-based pipeline for the inverse problem of image deblurring, leveraging augmentation and pre-training with synthetic data. Our results build on our winning submission to the recent Helsinki Deblur Challenge 2021, whose g…
  arxiv Theophil Trippe, Martin Genzel, Jan Macdonald, Maximilian März 2022-11-18T09:06:56Z 置信度 0.78 cs.CVcs.LGmath.NA
• Unsupervised Pathology Image Segmentation Using Representation Learning with Spherical K-means
  This paper presents a novel method for unsupervised segmentation of pathology images. Staging of lung cancer is a major factor of prognosis. Measuring the maximum dimensions of the invasive component in a pathology images is an essential task. Therefore, image…
  arxiv Takayasu Moriya, Holger R. Roth, Shota Nakamura, Hirohisa Oda 等 2018-04-11T06:28:27Z 置信度 0.78 cs.CV
• Magnification Generalization for Histopathology Image Embedding
  Histopathology image embedding is an active research area in computer vision. Most of the embedding models exclusively concentrate on a specific magnification level. However, a useful task in histopathology embedding is to train an embedding space regardless o…
  arxiv Milad Sikaroudi, Benyamin Ghojogh, Fakhri Karray, Mark Crowley 等 2021-01-18T02:46:26Z 置信度 0.78 eess.IVcs.AIcs.CV
• SPECT brain imaging in Psychiatric disorders: current clinical status
  crossref Ralph A. O'Connell 2015-08-20T10:01:37Z 置信度 0.70
• Diffusion-Weighted Imaging of the Normal Brain
  crossref 2005-08-11T12:29:39Z 置信度 0.70
• Imaging BBB for treating brain disorders
  crossref Danny J.J. Wang, Xingfeng Shao 2025-11-29T00:10:15Z 置信度 0.70
• Imaging BBB dysfunction in brain disorders
  crossref Danny J.J. Wang, Xingfeng Shao 2025-11-29T00:10:15Z 置信度 0.70
• Clinical Brain Imaging: Computerized Axial Tomography and Magnetic Resonance Imaging
  crossref William W. Orrison, John A. Sanders 2013-10-23T07:04:25Z 置信度 0.70
• 6 postoperative imaging of TBIPostoperative Imaging of Traumatic Brain Injury
  crossref 2015-02-09T23:33:40Z 置信度 0.70
• Introduction to Brain Imaging
  Chapter 1 establishes the foundational concepts of neuroimaging by exploring the complex relationship between brain structure and mental function. It traces the historical progression from ancient surgical approaches to modern noninvasive techniques, contextua…
  crossref 2026-02-26T00:06:04Z 置信度 0.70
• Brain Imaging Studies of Dopamine Function in Mood Disorders
  Randrup and colleagues first hypothesized that dopamine deficits play an important role in depression [1]. Several observations are consistent with this hypothesis. For instance, reserpine and a-methyldopa, two antihypertensive agents that deplete dopamine fro…
  crossref 2020-12-22T13:44:46Z 置信度 0.70
• Clinical Applications of Brain Magnetic Source Imaging
  Brain lesions may influence their border zones anatomically and functionally. Magnetic source imaging (MSI) can give information on the function of these areas by localizing sources of evoked and spontaneous brain activity. The inherent multisource problem of …
  crossref 2021-03-05T21:55:19Z 置信度 0.70
• Brain Imaging
  crossref 2012-02-07T13:52:05Z 置信度 0.70
• A heartfelt “thank you” to all the reviewers of Brain Imaging and Behavior in 2015
  crossref 2015-11-17T07:32:46Z 置信度 0.70
• Magnetoencephalography: From Pioneering Studies to Functional Brain Imaging
  In the first part of this chapter we want to stress that the most important features of present-day neuromagnetic technique directly stem from the seminal work of the pioneering days of biomagnetism in the late 1970s and early 1980s. We describe as an example …
  crossref 2021-03-06T02:55:19Z 置信度 0.70
• 2 neuroimaging of mTBIevidence-based imaging and prediction rulesmild traumatic brain injury (mTBI)evidence-based imaging and prediction rules withevidence-based imaging and prediction rulesEvidence-Based Imaging and Prediction Rules: Who Should Get Imaging for Mild Traumatic Brain Injury?
  crossref 2015-02-09T23:33:40Z 置信度 0.70
• Imaging of Traumatic Brain Injury
  Traumatic brain injury (TBI) represents an enormous public health challenge and is often associated with life long neurobehavioral sequelae in survivors. Several factors including higher percentages of individuals surviving TBI, as well as increasing concern a…
  crossref 2017-06-07T08:55:40Z 置信度 0.70
• The Future of Brain Imaging
  Chapter 14 allows us a look at the trajectories in brain imaging technology and research while acknowledging the field’s unpredictable evolution. It examines how existing tools are being refined, with functional MRI achieving submillimeter resolution and EEG s…
  crossref 2026-02-26T00:06:04Z 置信度 0.70
• Functional Imaging of the Migraine Brain
  Abstract Though neuroimaging in migraine research has largely focused on the symptomatic attack phase, the interictal phase poses distinct challenges and opportunities in developing treatments for migraine headache. Defined as the time period between migraine …
  crossref Eric A. Moulton 2014-07-25T11:02:05Z 置信度 0.70
• MR Imaging of Brain Development
  crossref Charles Raybaud 2005-12-27T02:12:49Z 置信度 0.70
• Introduction to special issue on Advances in Brain Imaging
  crossref Evan D. Morris 2019-03-01T23:41:49Z 置信度 0.70
• MR Imaging of the Brain
  crossref 2018-06-14T22:53:40Z 置信度 0.70
• A few thoughts on brain ROIs
  Quantitative mapping of structural and functional connectivities in the human brain via non-invasive neuroimaging offers an exciting and unique opportunity to understand brain architecture. Because connectivity alterations are widely reported in a variety of b…
  crossref Tianming Liu 2011-05-09T05:41:34Z 置信度 0.70
• Structural imaging of mild traumatic brain injury may not be enough: overview of functional and metabolic imaging of mild traumatic brain injury
  A majority of patients with traumatic brain injury (TBI) present as mild injury with no findings on conventional clinical imaging methods. Due to this difficulty of imaging assessment on mild TBI patients, there has been much emphasis on the development of dif…
  crossref Samuel S. Shin, James W. Bales, C. Edward Dixon, Misun Hwang 2017-02-13T02:57:24Z 置信度 0.70
• Imaging Modalities in Brain Tumors
  crossref A. Drevelegas 2013-03-28T08:53:57Z 置信度 0.70
• Network analysis of quantitative encephalography
  This is a technical video on hands-on format introducing the concepts of neural connectivity and complexity measures with applications to neurostimulation assessment, based on the brain network analysis. The scientific relevance of this submission is the intro…
  crossref André Fonseca 2023-07-12T18:39:03Z 置信度 0.70
• Brain Death
  crossref 2020-08-28T21:07:41Z 置信度 0.70
• Introduction to the brain imaging and behavior special issue on neuroimaging findings in mild traumatic brain injury
  Contemporary neuroimaging methods and research findings in mild traumatic brain injury (mTBI) are reviewed in this special issue. Topics covered include structural and functional neuroimaging techniques with a particular emphasis on the most contemporary resea…
  crossref D. F. Tate, M. E. Shenton, E. D. Bigler 2012-06-18T12:12:37Z 置信度 0.70
• Brain, Functional Imaging
  crossref 2012-02-02T15:25:42Z 置信度 0.70
• Concussion in athletics: ongoing clinical and brain imaging research controversies
  Concussion, the most common form of traumatic brain injury, proves to be increasingly complex and not mild in nature as its synonymous term mild traumatic brain injury (mTBI) would imply. Despite the increasing occurrence and prevalence of mTBI there is no uni…
  crossref Semyon Slobounov, Michael Gay, Brian Johnson, Kai Zhang 2012-06-05T05:51:19Z 置信度 0.70
• Kinetic Models of Brain Activity
  crossref Michael Breakspear, Stuart Knock 2008-09-25T11:13:14Z 置信度 0.70
• 5059415 Method for diagnostically imaging lesions in the brain inside a blood-brain barrier
  crossref 2004-04-19T00:03:55Z 置信度 0.70
• Imaging Blood-Brain Barrier Dysfunction in Brain Disorders
  crossref 2025-11-29T00:06:42Z 置信度 0.70
• Brain imaging and the transparency scenario
  This chapter focuses on the possible impact of neuroscientific technological development on one area of privacy in particular: the privacy that we enjoy in relation to the contents of our minds or, as it has come to be called, ‘mental privacy’. Many people are…
  crossref Sarah Richmond 2012-09-20T17:14:31Z 置信度 0.70
• Neurologic Changes during Critical Illness: Brain Imaging Findings and Neurobehavioral Outcomes
  Encephalopathy and other neurologic morbidities are common in critical illness, sepsis, and prolonged mechanical ventilation. We assessed structural changes on brain imaging and neuropsychological outcomes in critically ill patients who developed neurological …
  crossref Mary R. Suchyta, Al Jephson, Ramona O. Hopkins 2009-11-11T21:19:56Z 置信度 0.70
• Normal Aging Brain
  crossref 2020-08-28T21:19:36Z 置信度 0.70
• Diffusion Tensor Imaging and Functional Magnetic Resonance in Brain Tumor Imaging
  crossref Ömer Kitiş, Sevcan Türk 2020-04-28T15:04:14Z 置信度 0.70
• Imaging the Brain in Action: Real-Time Voltage-Sensitive Dye Imaging of Sensorimotor Cortex of Awake Behaving Mice
  Anesthetized Mice ............................................................................ 178 6.5 Voltage-Sensitive Dye Imaging .................................................................... 181 6.5.1 Experimental Strategies ........................…
  crossref 2020-12-22T22:29:25Z 置信度 0.70
• Imaging of Inherited and Acquired Metabolic Brain Disorders
  crossref Mauricio Castillo 2005-12-27T02:12:49Z 置信度 0.70
• Introduction to Electromagnetic Brain Imaging
  crossref Kensuke Sekihara, Srikantan S. Nagarajan 2015-02-20T06:15:04Z 置信度 0.70
• Optical Imaging of Brain Activity In Vivo Using Genetically Encoded Probes
  Expression ........................................................................................... 10 1.3.5 Recombinase-Based Systems for Cell Type-Specic Targeting ........ 11 1.4 Experimental Setup for Imaging with Genetically Encoded Reporters .........…
  crossref 2020-12-22T22:29:25Z 置信度 0.70
• Intraoperative Human Functional Brain Mapping Using Optical Intrinsic Signal Imaging
  Functional brain mapping strives to describe the brain's organization as a mosaic of distinct regions, each of which subserves a particular function.Advances in our understanding of functional brain organization over the past decades have been propelled by the…
  crossref Sameer A., Vijay Yanamadala, Emad N. 2012-04-03T12:09:07Z 置信度 0.70
• Human Brain Imaging in the Development of Psychotropics: Focuson Affective and Anxiety Disorders
  The robustness of the techniques is sometimes questioned. This concern has been reinforced by the equivocal methodology employed by some of the researchers in the field. There is a paucity of suitable radioligands that can be used to investigate binding in viv…
  crossref 2020-12-22T18:44:46Z 置信度 0.70
• Diffusion-Weighted and Tensor Imaging of the Normal Brain
  crossref 2009-08-02T23:45:23Z 置信度 0.70
• Diagnosis and Characterization of Brain Tumors: MR Spectroscopic Imaging
  crossref Peter B. Barker 2013-10-16T03:05:08Z 置信度 0.70
• Imaging Modalities in Brain Tumors
  crossref Antonios Drevelegas, Nickolas Papanikolaou 2010-11-25T06:01:23Z 置信度 0.70
• Combining brain imaging with brain stimulation: causality and connectivity
  This article establishes the concept of a methodological approach to combine brain imaging with brain stimulation. Transcranial magnetic stimulation (TMS) is a tool that allows perturbing neural activity, in time and space, in a noninvasive manner. This approa…
  crossref Tomáš Paus 2014-02-14T13:28:25Z 置信度 0.70
• Brain imaging in clinical psychiatry: Why?
  This chapter examines the use of brain imaging in contemporary clinical psychiatry. It is not concerned with research uses of brain imaging in psychiatry, but with clinical uses, related directly to patient care. The chapter is organized as follows. The first …
  crossref Brendan D. Kelly 2012-09-20T17:14:31Z 置信度 0.70
• - Diffuse Optical Imaging: Application to Brain Imaging
  Although the relatively low attenuation of near-infrared light in most tissues facilitates transmittance measurements over distances of several centimeters, the profound scatter of light renders those measurements sensitive to a much larger volume of tissue th…
  crossref 2020-07-10T01:51:34Z 置信度 0.70
• Brain Inflammation: Biomedical Imaging
  crossref 2012-01-20T13:59:55Z 置信度 0.70
• Human Brain Imaging of Opioid Receptors
  crossref Udi E. Ghitza 2014-01-18T20:44:45Z 置信度 0.70
• Imaging markers of structural and functional brain changes that precede cognitive symptoms in risk for Alzheimer’s disease
  Neuroimaging has rapidly advanced investigations into dysfunction both within and emanating from the hippocampus in early Alzheimer's disease . Focusing on prodromal subjects, we will discuss structural changes to hippocampal subregions, alterations to functio…
  crossref Alison Burggren, Jesse Brown 2013-12-06T04:26:40Z 置信度 0.70
• Structural Brain Imaging and Cognitive Aging
  crossref Joel Ramirez, Sandra E. Black 2012-01-20T17:20:12Z 置信度 0.70
• Brain parenchyma-Lymphoma, brain
  crossref Danielle Balériaux 2011-10-22T03:33:41Z 置信度 0.70
• Brain Edema
  crossref 2005-08-11T12:29:39Z 置信度 0.70
• Post-Traumatic Brain Swelling
  crossref 2020-08-28T21:07:29Z 置信度 0.70
• Brain Neoplasms
  crossref 2005-08-11T12:29:39Z 置信度 0.70
• Proton Magnetic Resonance Spectroscopy and Spectroscopic Imaging of Primary Brain Tumors
  crossref Lester Kwock 2013-10-16T03:05:08Z 置信度 0.70
• Brain imaging and artificial intelligence
  crossref Uri Maoz, Erik Linstead 2019-02-23T20:14:24Z 置信度 0.70
• Brain imaging (CT/MRI)
  In the acute phase of a suspected stroke, timely brain imaging with rapid and qualified interpretation is a crucial diagnostic step to inform patient management. While brain computed tomography is usually sufficient to indicate thrombolysis within the approved…
  crossref Thomas Gattringer, Christian Enzinger, Stefan Ropele, Franz Fazekas 2018-02-09T10:06:36Z 置信度 0.70
• Imaging the Gambling Brain
  Neuroimaging studies examining the neurobiological basis of gambling disorder (GD) have increased over the past decade. Functional magnetic resonance imaging studies during appetitive cue and reward processing tasks demonstrate altered functioning in frontostr…
  crossref I.M. Balodis, M.N. Potenza 2016-07-06T04:04:17Z 置信度 0.70
• Hyperpolarized Xenon Brain MRI
  Since hyperpolarized 129Xe MRI was first demonstrated in the lung, air space imaging using hyperpolarized noble gases (129Xe and 3He) has progressed at a rapid rate (Goodson, 2002; Zhou, 2011c). Owing to high lipid solubility, absence of background signal in b…
  crossref Xin Zhou 2012-04-03T12:09:07Z 置信度 0.70
• Sickle Cell Disease, Brain
  crossref 2020-08-28T21:08:44Z 置信度 0.70
• Imaging of Brain Cancer
  crossref Soonmee Cha 2006-02-04T01:37:07Z 置信度 0.70
• Machine Learning Approach in Brain Imaging
  crossref Yury V. Kistenev, Denis A. Vrazhnov 2022-05-19T05:02:40Z 置信度 0.70
• Brain Imaging and Machine Learning for Brain-Computer Interface
  P. Sajda et al., defines (Sajda et al., 2008) the Brain-Computer Interface (BCI) as: "A Brain-Computer Interface is a system that includes a means for measuring neural signals from the brain, a method/algorithm for decoding these signals and a methodology for …
  crossref Maha Khachab, Chafic Mokbel, Salim Kaakour, Nicolas Saliba 等 2012-03-23T19:40:22Z 置信度 0.70
• Imaging the Addicted Brain
  Alcohol use disorder (AUD) represents a major public health issue due to its prevalence and severe health consequences. It may affect several aspects of an individual's life including work and relationships, and it also increases risk for additional problems s…
  crossref M. Dupuy, S. Chanraud 2016-06-22T14:43:24Z 置信度 0.70
• Brain regions associated with psychological pain
  crossref Astrid Habenstein, Thomas Reisch, Konrad Michel 2013-04-11T04:33:52Z 置信度 0.70
• Neuroimaging of the developing brain
  crossref John Darrell Van Horn, Kevin Archer Pelphrey 2015-02-27T09:58:32Z 置信度 0.70
• Chemotherapy-induced brain changes in breast cancer survivors: evaluation with multimodality magnetic resonance imaging
  Chemotherapy related cognitive impairments are common in breast cancer patients undergoing chemotherapy. These cognitive dysfunctions are mainly attributable to chemotherapy related brain structural and functional alterations. Multimodality magnetic resonance …
  crossref Yun Feng, Xiao Dong Zhang, Gang Zheng, Long Jiang Zhang 2019-04-01T11:21:00Z 置信度 0.70