Results 41 to 50 of about 492,068 (301)

Spatial correlations exploitation based on nonlocal voxel-wise GWAS for biomarker detection of AD

NeuroImage: Clinical, 2019
Potential biomarker detection is a crucial area of study for the prediction, diagnosis, and monitoring of Alzheimer's disease (AD). The voxelwise genome-wide association study (vGWAS) is widely used in imaging genomics studies that is usually applied to ...
Meiyan Huang, Chunyan Deng, Yuwei Yu, Tao Lian, Wei Yang, Qianjin Feng   +5 more
doaj   +1 more source

Image fusion for dynamic contrast enhanced magnetic resonance imaging

, 2004
Twellmann T, Saalbach A, Gerstung O, Leach MO, Nattkemper TW. Image fusion for dynamic contrast enhanced magnetic resonance imaging. Biomed Eng Online. 2004;3(1): 35.BACKGROUND: Multivariate imaging techniques such as dynamic contrast-enhanced magnetic ...
Nattkemper, Tim Wilhelm ; https://orcid.org/, Nattkemper Tim W, Saalbach, A, Olaf Gerstung, Gerstung, O., Leach, M.O., Twellmann Thorsten, Twellmann, Thorsten, Nattkemper, TW, Axel Saalbach, Tim W Nattkemper, Leach, Martin O, Gerstung Olaf, Twellmann, T Thorsten, Thorsten Twellmann, Gerstung, Olaf, Saalbach Axel, Saalbach, Axel, Leach Martin O, Gerstung, O, Nattkemper, T.W., Martin O Leach, Saalbach, A., Twellmann, T.   +23 more
core   +1 more source

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen, Calogero Virgone, Antje Redlich, Michael Abele, Ricardo Lopez‐Almaraz, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Maja Mazic Cesen, Andrea Ferrari, Malgorzata A. Krawczyk, Yves Reguerre, Dominik T. Schneider, Ines B. Brecht, Charlotte Rigaud, Bilgehan Yalcin, Rainer Claus, Christian Vokuhl, Constantin Lapa, Jörg Fuchs, Segolene Hescot, Thomas Walter, Julien Hadoux, Daniel Orbach   +23 more
wiley   +1 more source

Distance Regularized Level Set Evolution for Medical Image Segmentation [PDF]

, 2013
Medical image is an important tool because it can be used for surgical planning and simulation, radiotherapy planning, and tracking the progress of disease. To analyze the medical image, it must partitioned into different segment using image segmentation
Pranowo, Pranowo, Rianto , Indra
core  

Soft Tissue/Bone Decomposition of Conventional Chest Radiographs Using Nonparametric Image Priors

Applied Bionics and Biomechanics, 2019
Background and Objective. When radiologists diagnose lung diseases in chest radiography, they can miss some lung nodules overlapped with ribs or clavicles.
Yunbi Liu, Wei Yang, Guangnan She, Liming Zhong, Zhaoqiang Yun, Yang Chen, Ni Zhang, Liwei Hao, Zhentai Lu, Qianjin Feng, Wufan Chen   +10 more
doaj   +1 more source

Classification for Dermoscopy Images Using Convolutional Neural Networks Based on Region Average Pooling

IEEE Access, 2018
In this paper, a novel melanoma classification method based on convolutional neural networks is proposed for dermoscopy images. First a region average pooling (RAPooling) method is introduced which makes feature extraction can focus on the region of ...
Jiawen Yang, Fengying Xie, Haidi Fan, Zhiguo Jiang, Jie Liu   +4 more
doaj   +1 more source

Dynamic Brain Connectivity in Resting-State FMRI Using Spectral ICA and Graph Approach: Application to Healthy Controls and Multiple Sclerosis

Diagnostics, 2022
Multiple sclerosis (MS) is a neuroinflammatory disease that involves structural and functional damage to the brain. It changes the functional connectivity of the brain between and within networks. Resting-state functional magnetic resonance imaging (fMRI)
Amir Hosein Riazi, Hossein Rabbani, Rahele Kafieh   +2 more
doaj   +1 more source

Claudin‐6 Protein Expression in Atypical Teratoid/Rhabdoid Tumors Is Strongly Enriched in the Molecular Subgroup AT/RT‐TYR

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Claudin‐6 has emerged as a promising immunotherapeutic target, yet protein‐level data in atypical teratoid/rhabdoid tumors (AT/RTs) have been inconsistent. We analyzed 36 well‐characterized AT/RT samples and found membranous claudin‐6 protein expression in 58% of cases, with striking enrichment in the molecular subgroup AT/RT‐TYR (100%) and ...
Victoria E. Fincke, Christian Thomas, Michael C. Frühwald, Pascal D. Johann, Martin Hasselblatt   +4 more
wiley   +1 more source

Development of a Fully Optimized Convolutional Neural Network for Astrocytoma Classification in MRI Using Explainable Artificial Intelligence

Journal of Imaging
Astrocytoma is the most common type of brain glioma and is classified by the World Health Organization into four grades, providing prognostic insights and guiding treatment decisions.
Christos Ch. Andrianos, Spiros A. Kostopoulos, Ioannis K. Kalatzis, Dimitris Th. Glotsos, Pantelis A. Asvestas, Dionisis A. Cavouras, Emmanouil I. Athanasiadis   +6 more
doaj   +1 more source

Magnetic Graphene Field-Effect Transistor Biosensor for Single-Strand DNA Detection

Nanoscale Research Letters, 2019
Herein, a magnetic graphene field-effect transistor biosensor was prepared through the transfer of a chemical vapor deposition graphene film onto a glass substrate to produce a sensing film and conductive channel.
Jinjin Sun, Xiaohui Xie, Ke Xie, Shicai Xu, Shouzhen Jiang, Junfeng Ren, Yuefeng Zhao, Huaqiang Xu, Jingjing Wang, Weiwei Yue   +9 more
doaj   +1 more source