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IEEE Journal of Biomedical and Health Informatics
IF
3.85
Papers
1446
Papers 1444
1 page of 145 pages (1,444 results)
Newest
Eleftherios Trivizakis1
Estimated H-index: 1
(Technological Educational Institute of Crete),
Georgios C. Manikis6
Estimated H-index: 6
(Foundation for Research & Technology – Hellas)
+ 4 AuthorsKostas Marias3
Estimated H-index: 3
(Technological Educational Institute of Crete)
Deep learning (DL) architectures have opened new horizons in medical image analysis attaining unprecedented performance in tasks such as tissue classification and segmentation as well as prediction of several clinical outcomes. In this paper, we propose and evaluate a novel three-dimensional (3-D) convolutional neural network (CNN) designed for tissue classification in medical imaging and applied for discriminating between primary and metastatic liver tumors from diffusion weighted MRI (DW-MRI) ...
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Atefeh Abdolmanafi1
Estimated H-index: 1
(École de technologie supérieure),
Luc Duong9
Estimated H-index: 9
(École de technologie supérieure)
+ 1 AuthorsFarida Cheriet26
Estimated H-index: 26
(École Polytechnique de Montréal)
Intra-slice motion correction is an important step for analyzing volume variations and pathological formations from intravascular imaging. Optical coherence tomography (OCT) has been recently introduced for intravascular imaging and assessment of coronary artery disease. Two-dimensional (2-D) cross-sectional OCT images of coronary arteries play a crucial role to characterize the internal structure of the tissues. Adjacent images could be compounded; however, they might not fully match due to mot...
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Arnab Bhattacharjee2
Estimated H-index: 2
(Bangladesh University of Engineering and Technology),
Suvasish Saha1
Estimated H-index: 1
(Bangladesh University of Engineering and Technology)
+ 2 AuthorsM. Omair Ahmad15
Estimated H-index: 15
(Concordia University)
Sleep apnea, a serious sleep disorder affecting a large population, causes disruptions in breathing during sleep. In this paper, an automatic apnea detection scheme is proposed using single lead electroencephalography (EEG) signal to discriminate apnea patients and healthy subjects as well as to deal with the difficult task of classifying apnea and nonapnea events of an apnea patient. A unique multiband subframe based feature extraction scheme is developed to capture the feature variation patter...
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Yong Chang (Harbin Institute of Technology), Yongfeng Yuan (Harbin Institute of Technology)+ 3 AuthorsShinichi Tamura32
Estimated H-index: 32
(Osaka University)
Due to bone deformation and joint space narrowing in diseased hips, accurate segmentation for pelvis, and femur from hip computed tomography (CT) images remains a challenging task. Therefore, the paper presents a fully automatic segmentation framework for the pelvis and femur in both of healthy and diseased hips. The framework involves three steps: preprocessing, coarse segmentation, and refinement. It starts with a preprocessing procedure to extract the volume of interest (VOI) from original CT...
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Wenfeng Song1
Estimated H-index: 1
(Beihang University),
Shuai Li9
Estimated H-index: 9
(Beihang University)
+ 4 AuthorsAimin Hao10
Estimated H-index: 10
(Beihang University)
Thyroid ultrasonography is a widely used clinical technique for nodule diagnosis in thyroid regions. However, it remains difficult to detect and recognize the nodules due to low contrast, high noise, and diverse appearance of nodules. In today's clinical practice, senior doctors could pinpoint nodules by analyzing global context features, local geometry structure, and intensity changes, which would require rich clinical experience accumulated from hundreds and thousands of nodule case studies. T...
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Adil Umer (VTT Technical Research Centre of Finland), Jussi Mattila13
Estimated H-index: 13
+ 8 AuthorsDavid K. Menon83
Estimated H-index: 83
(University of Cambridge)
Traumatic brain injury (TBI) occurs when an external force causes functional or structural alterations in the brain. Clinical characteristics of TBI vary greatly from patient to patient, and a large amount of data is gathered during various phases of clinical care in these patients. It is hard for clinicians to efficiently integrate and interpret all of these data and plan interventions in a timely manner. This paper describes the technical architecture and functionality of a web-based decision ...
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Arunava Chakravarty5
Estimated H-index: 5
(International Institute of Information Technology, Hyderabad),
Jayanthi Sivaswamy19
Estimated H-index: 19
(International Institute of Information Technology, Hyderabad)
The level set based deformable models (LDM) are commonly used for medical image segmentation. However, they rely on a handcrafted curve evolution velocity that needs to be adapted for each segmentation task. The Convolutional Neural Networks (CNN) address this issue by learning robust features in a supervised end-to-end manner. However, CNNs employ millions of network parameters, which require a large amount of data during training to prevent over-fitting and increases the memory requirement and...
1 Citations Source Cite
Xiuquan Du5
Estimated H-index: 5
(Anhui University),
Renjun Tang (Anhui University)+ 2 AuthorsShuo Li23
Estimated H-index: 23
(University of Western Ontario)
Quantitative analysis of the heart is extremely necessary and significant for detecting and diagnosing heart disease, yet there are still some challenges. In this study, we propose a new end-to-end segmentation-based deep multi-task regression learning model (Indices-JSQ) to make a holonomic quantitative analysis of the left ventricle (LV), which contains a segmentation network (Img2Contour) and multi-task regression network (Contour2Indices). First, Img2Contour, which contains a deep convolutio...
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Asghar Zarei (Tarbiat Modares University), Babak Mohammadzadeh Asl8
Estimated H-index: 8
(Tarbiat Modares University)
Obstructive sleep apnea (OSA) is a prevalent sleep disorder and highly affects the quality of human life. Currently, gold standard for OSA detection is polysomnogram. Since this method is time consuming and cost inefficient, practical systems focus on the usage of electrocardiogram (ECG) signals for OSA detection. In this paper, a novel automatic OSA detection method using a single-lead ECG signal has been proposed. A nonlinear feature extraction using wavelet transform (WT) coefficients obtaine...
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Jiao Zhang1
Estimated H-index: 1
(City University of Hong Kong),
Sam Kwong43
Estimated H-index: 43
(City University of Hong Kong)
+ 2 AuthorsKa-Chun Wong15
Estimated H-index: 15
(City University of Hong Kong)
Pathway analysis is a cornerstone of system biology. In particular, pathway similarity search plays a key role in establishing structural, functional, and evolutionary relationships between different biological entities. Given a query pathway as well as a database, a pathway similarity search aims to identify novel pathways that are homologous to the query pathway. Unfortunately, the pathway similarity search is computationally inefficient due to the NP-complete graph isomorphism problem. In thi...
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