听力与言语-语言病理学

行为科学

医学伦理学

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  • Automated detection of conduct disorder and attention deficit hyperactivity disorder using decomposition and nonlinear techniques with EEG signals.

    abstract:BACKGROUND AND OBJECTIVES:Attention deficit hyperactivity disorder (ADHD) is often presented with conduct disorder (CD). There is currently no objective laboratory test or diagnostic method to discern between ADHD and CD, and diagnosis is further made difficult as ADHD is a common neuro-developmental disorder often pre...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2021.105941

    authors: Tor HT,Ooi CP,Lim-Ashworth NS,Wei JKE,Jahmunah V,Oh SL,Acharya UR,Fung DSS

    更新日期:2021-01-14 00:00:00

  • Topological recovery for non-rigid 2D/3D registration of coronary artery models.

    abstract:BACKGROUND AND OBJECTIVE:Intra-operative X-ray angiography, the current standard method for visualizing and diagnosing cardiovascular disease, is limited in its ability to provide essential 3D information. These limitations are disadvantages in treating patients. For example, it is a cause of lowering the success rate ...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2020.105922

    authors: Yoon S,Yoon CH,Lee D

    更新日期:2021-01-05 00:00:00

  • Effect of power feature covariance shift on BCI spatial-filtering techniques: A comparative study.

    abstract:BACKGROUND AND OBJECTIVE:The input data distributions of EEG-based BCI systems can change during intra-session transitions due to nonstationarity caused by features covariate shifts, thus compromising BCI performance. We aimed to identify the most robust spatial filtering approach, among most used methods, testing them...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2020.105808

    authors: Miladinović A,Ajčević M,Jarmolowska J,Marusic U,Colussi M,Silveri G,Battaglini PP,Accardo A

    更新日期:2021-01-01 00:00:00

  • Deep-learning-based segmentation of the vocal tract and articulators in real-time magnetic resonance images of speech.

    abstract:BACKGROUND AND OBJECTIVE:Magnetic resonance (MR) imaging is increasingly used in studies of speech as it enables non-invasive visualisation of the vocal tract and articulators, thus providing information about their shape, size, motion and position. Extraction of this information for quantitative analysis is achieved u...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2020.105814

    authors: Ruthven M,Miquel ME,King AP

    更新日期:2021-01-01 00:00:00

  • Machine-Learning based model order reduction of a biomechanical model of the human tongue.

    abstract:BACKGROUND AND OBJECTIVES:This paper presents the results of a Machine-Learning based Model Order Reduction (MOR) method applied to a complex 3D Finite Element (FE) biomechanical model of the human tongue, in order to create a Digital Twin Model (DTM) that enables real-time simulations. The DTM is designed for future i...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2020.105786

    authors: Calka M,Perrier P,Ohayon J,Grivot-Boichon C,Rochette M,Payan Y

    更新日期:2021-01-01 00:00:00

  • A virtual environment to evaluate the arm volume for lymphedema affected patients.

    abstract:BACKGROUND AND OBJECTIVE:The paper presents a novel procedure based on 3D scanning and 3D modelling to automatically assess linear and volumetric measurements of an arm and to be further applied to patients affected by post breast cancer lymphedema. The aim is the creation of a virtual platform easily usable by medical...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2020.105795

    authors: Vitali A,Togni G,Regazzoni D,Rizzi C,Molinero G

    更新日期:2021-01-01 00:00:00

  • pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis.

    abstract:BACKGROUND AND OBJECTIVE:Deep learning enables tremendous progress in medical image analysis. One driving force of this progress are open-source frameworks like TensorFlow and PyTorch. However, these frameworks rarely address issues specific to the domain of medical image analysis, such as 3-D data handling and distanc...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2020.105796

    authors: Jungo A,Scheidegger O,Reyes M,Balsiger F

    更新日期:2021-01-01 00:00:00

  • Optimal dynamic empirical therapy in a health care facility: A Monte-Carlo look-ahead method.

    abstract:BACKGROUND AND OBJECTIVES:Empirical antimicrobial prescription strategies have been proposed to counteract the selection of resistant pathogenic strains. The respective merits of such strategies have been debated. Rather than comparing a finite number of policies, we take an optimization approach and propose a solution...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2020.105767

    authors: Houy N,Flaig J

    更新日期:2021-01-01 00:00:00

  • predicting and improving the probability of live birth for women undergoing frozen-thawed embryo transfer: a data-driven estimation and simulation model.

    abstract:BACKGROUND AND OBJECTIVE:Frozen-thawed embryo transfer (FET) is now widely used for the treatment of infertility. For many couples and clinicians, concerns over the probability and how to increase the chance of a successful birth are very common. Currently, there is not a single model to predict the live birth outcomes...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2020.105780

    authors: Liang R,An J,Zheng Y,Li J,Wang Y,Jia Y,Zhang J,Lu Q

    更新日期:2021-01-01 00:00:00

  • On the magnetic aggregation of Fe3O4 nanoparticles.

    abstract::Background and objective In-vivo MRI-guided drug delivery concept is a personalized technique towards cancer treatment. A major bottleneck of this method, is the weak magnetic response of nanoparticles. A crucial improvement is the usage of paramagnetic nanoparticles aggregates since they can easier manipulated in hum...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2020.105778

    authors: Karvelas EG,Lampropoulos NK,Benos LT,Karakasidis T,Sarris IE

    更新日期:2021-01-01 00:00:00

  • Mathematical modelling, parameter estimation and computational simulation for skin wound healing under Copaiferalangsdorffi treatments.

    abstract::We present three mathematical models which simulate the wound healing time for 10% oil-resin (10% OR), 10% hydroalcoholic extract (10% EH) (Copaifera langsdorffii drugs), Lanette cream (LC) and Collagenase treatments. Wound healing is a complex process consisting of inflammatory, proliferative and remodelling phases. ...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2020.105915

    authors: de Oliveira MH,Gushiken LFS,Pellizzon CH,Mancera PFA

    更新日期:2020-12-26 00:00:00

  • Methodology for Estimation of Annual Risk of Rupture for Abdominal Aortic Aneurysm.

    abstract:BACKGROUND AND OBJECTIVE:Estimating patient specific annual risk of rupture of abdominal aortic aneurysm (AAA) is currently based only on population. More accurate knowledge based on patient specific data would allow surgical treatment of only those AAAs with significant risk of rupture. This would be beneficial for bo...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2020.105916

    authors: Polzer S,Kracík J,Novotný T,Kubíček L,Staffa R,Raghavan ML

    更新日期:2020-12-25 00:00:00

  • Seizure onset detection based on detection of changes in brain activity quantified by evolutionary game theory model.

    abstract:BACKGROUND AND OBJECTIVE:Epilepsy is one of the most common diseases of the nervous system, affecting about 1% of the world's population. The unpredictable nature of the epilepsy seizures deprives the patients and those around them of living a normal life. Therefore, the development of new methods that can help these p...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2020.105899

    authors: Hamavar R,Asl BM

    更新日期:2020-12-17 00:00:00

  • Effect of transport parameters on atherosclerotic lesion growth: A parameter sensitivity analysis.

    abstract:BACKGROUND:Atherosclerosis is a degenerative disease of the arterial wall. It results in the formation of progressively growing plaque lesions that can harden and narrow their host arteries. Current computational models of the inflammatory process that govern atherosclerosis growth are reliant on a number of parameters...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2020.105904

    authors: Piemjaiswang R,Ding Y,Feng Y,Piumsomboon P,Chalermsinsuwan B

    更新日期:2020-12-17 00:00:00

  • Comparative analysis of active contour and convolutional neural network in rapid left-ventricle volume quantification using echocardiographic imaging.

    abstract::In cardiology, ultrasound is often used to diagnose heart disease associated with myocardial infarction. This study aims to develop robust segmentation techniques for segmenting the left ventricle (LV) in ultrasound images to check myocardium movement during heartbeat. The proposed technique utilizes machine learning ...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2020.105914

    authors: Zhu X,Wei Y,Lu Y,Zhao M,Yang K,Wu S,Zhang H,Wong KKL

    更新日期:2020-12-17 00:00:00

  • Optic disc and optic cup segmentation based on anatomy guided cascade network.

    abstract:BACKGROUND AND OBJECTIVE:Glaucoma, a worldwide eye disease, may cause irreversible vision damage. If not treated properly at an early stage, glaucoma eventually deteriorates into blindness. Various glaucoma screening methods, e.g. Ultrasound Biomicroscopy (UBM), Optical Coherence Tomography (OCT), and Heidelberg Retina...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2020.105717

    authors: Bian X,Luo X,Wang C,Liu W,Lin X

    更新日期:2020-12-01 00:00:00

  • Finite element analysis of torque induced orthodontic bracket slot deformation in various bracket-archwire contact assembly.

    abstract:BACKGROUND AND OBJECTIVES:Orthodontic fixed appliance therapy involves alignment of teeth through the bracket and archwires. The archwire twist (torque) imparts significant forces inside the bracket slot in refining the teeth position at the end of treatment. The objective of this in- silico study was to evaluate the t...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2020.105748

    authors: Harikrishnan P,Magesh V,Ajayan AM,JebaSingh DK

    更新日期:2020-12-01 00:00:00

  • Cross-sectional photoacoustic tomography image reconstruction with a multi-curve integration model.

    abstract:BACKGROUND AND OBJECTIVE:In acoustic inversion of photoacoustic tomography (PAT), an imaging model that precisely describes both the ultrasonic wave propagation and the detector properties is of crucial importance. Inspired by the multi-stripe integration model in clinical X-ray computed tomography systems, in this wor...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2020.105731

    authors: Qi L,Huang S,Li X,Zhang S,Lu L,Feng Q,Chen W

    更新日期:2020-12-01 00:00:00

  • Cardiac magnetic resonance image segmentation based on convolutional neural network.

    abstract:OBJECTIVE:In cardiac medical imaging, the extraction and segmentation of the part of interest is the key to the diagnosis of heart disease. Due to irregular diastole and contraction, magnetic resonance imaging (MRI) images have poorly defined boundaries, and traditional segmentation algorithms have poor performance. In...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2020.105755

    authors: Liu D,Jia Z,Jin M,Liu Q,Liao Z,Zhong J,Ye H,Chen G

    更新日期:2020-12-01 00:00:00

  • OctNET: A Lightweight CNN for Retinal Disease Classification from Optical Coherence Tomography Images.

    abstract:BACKGROUND AND OBJECTIVE:Retinal diseases are becoming a major health problem in recent years. Their early detection and ensuing treatment are essential to prevent visual damage, as the number of people affected by diabetes is expected to grow exponentially. Retinal diseases progress slowly, without any discernible sym...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2020.105877

    authors: A P S,Kar S,S G,Gopi VP,Palanisamy P

    更新日期:2020-11-28 00:00:00

  • A Machine Learning decision-making tool for extubation in Intensive Care Unit patients.

    abstract:BACKGROUND AND OBJECTIVE:To increase the success rate of invasive mechanical ventilation weaning in critically ill patients using Machine Learning models capable of accurately predicting the outcome of programmed extubations. METHODS:The study population was adult patients admitted to the Intensive Care Unit. Target e...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2020.105869

    authors: Fabregat A,Magret M,Ferré JA,Vernet A,Guasch N,Rodríguez A,Gómez J,Bodí M

    更新日期:2020-11-24 00:00:00

  • Helping doctors hasten COVID-19 treatment: Towards a rescue framework for the transfusion of best convalescent plasma to the most critical patients based on biological requirements via ml and novel MCDM methods.

    abstract:CONTEXT:People who have recently recovered from the threat of deteriorating coronavirus disease-2019 (COVID-19) have antibodies to the coronavirus circulating in their blood. Thus, the transfusion of these antibodies to deteriorating patients could theoretically help boost their immune system. Biologically, two challen...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2020.105617

    authors: Albahri OS,Al-Obaidi JR,Zaidan AA,Albahri AS,Zaidan BB,Salih MM,Qays A,Dawood KA,Mohammed RT,Abdulkareem KH,Aleesa AM,Alamoodi AH,Chyad MA,Zulkifli CZ

    更新日期:2020-11-01 00:00:00

  • Linear and nonlinear analyses of normal and fatigue heart rate variability signals for miners in high-altitude and cold areas.

    abstract:BACKGROUND AND OBJECTIVE:Fatigue is an important cause of operational errors, and human errors are the main cause of accidents. This study is an exploratory study in China. Field tests were conducted on heart rate variability (HRV) parameters and physiological indicators of fatigue among miners in high-altitude, cold a...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2020.105667

    authors: Chen S,Xu K,Zheng X,Li J,Fan B,Yao X,Li Z

    更新日期:2020-11-01 00:00:00

  • Classification of ADHD with fMRI data and multi-objective optimization.

    abstract:BACKGROUND AND OBJECTIVE:Dataset imbalance is an important problem in neuroimaging. Imbalanced datasets would cause the performance degradation of a classifier by utilizing imbalanced learning, which tends to overfocus on the majority class. In this paper, we consider an imbalanced neuroimaging classification problem, ...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2020.105676

    authors: Shao L,You Y,Du H,Fu D

    更新日期:2020-11-01 00:00:00

  • CT kernel conversions using convolutional neural net for super-resolution with simplified squeeze-and-excitation blocks and progressive learning among smooth and sharp kernels.

    abstract:PURPOSE:Computed tomography (CT) volume sets reconstructed with different kernels are helping to increase diagnostic accuracy. However, several CT volumes reconstructed with different kernels are difficult to sustain, due to limited storage and maintenance issues. A CT kernel conversion method is proposed using convolu...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2020.105615

    authors: Eun DI,Woo I,Park B,Kim N,Lee A SM,Seo JB

    更新日期:2020-11-01 00:00:00

  • PSO-FCM based data mining model to predict diabetic disease.

    abstract:BACKGROUND AND OBJECTIVE:Diabetic disease is typically composed because of higher than normal blood sugar levels. Instead the production of insulin may be regarded insufficient. It has been noted in recent days that the percentage of diabetes-affected patients have grown to a larger extent throughout the world. Evident...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2020.105659

    authors: Raja JB,Pandian SC

    更新日期:2020-11-01 00:00:00

  • Beam-inside-beam contact: Mechanical simulations of slender medical instruments inside the human body.

    abstract:BACKGROUND AND OBJECTIVE:This contribution presents a rapid computational framework to mechanically simulate the insertion of a slender medical instrument in a tubular structure such as an artery, the cochlea or another slender instrument. METHODS:Beams are employed to rapidly simulate the mechanical behaviour of the ...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2020.105527

    authors: Magliulo M,Lengiewicz J,Zilian A,Beex LAA

    更新日期:2020-11-01 00:00:00

  • Segmentation of prostate zones using probabilistic atlas-based method with diffusion-weighted MR images.

    abstract:BACKGROUND AND OBJECTIVE:Accurate segmentation of prostate and its zones constitute an essential preprocessing step for computer-aided diagnosis and detection system for prostate cancer (PCa) using diffusion-weighted imaging (DWI). However, low signal-to-noise ratio and high variability of prostate anatomic structures ...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2020.105572

    authors: Singh D,Kumar V,Das CJ,Singh A,Mehndiratta A

    更新日期:2020-11-01 00:00:00

  • Molecular modelling analysis of T219A mutant envelope protein revealed novel virulence enhancing factors in Dengue virus isolated from Kerala state, India.

    abstract::Dengue virus (DENV) is an emerging health threat and its envelope glycoprotein E, is involved in the anchoring and fusion mechanisms. Anchoring followed by conformational changes of E-protein are responsible for the fusion and entry of DENV into host. The variation in the conformation of the E-protein due to mutations...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2020.105481

    authors: Kumar YN,Jeyakodi G,Kumar NP,Gunasekaran K,Jambulingam P

    更新日期:2020-10-01 00:00:00

  • Effect of collagen fibril distributions on the crack profile in articular cartilage.

    abstract:BACKGROUND AND OBJECTIVE:Cartilage cracks and fissures may occur due to certain daily life activities such as sports practice, blunt trauma, and matrix fibrillation during early osteoarthritis. These cracks could further grow at the macroscopic level, alter the load distribution pattern in the matrix, limit the joint r...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2020.105648

    authors: Komeili A,Rasoulian A,Kakavand R

    更新日期:2020-10-01 00:00:00

  • Morphological autoencoders for apnea detection in respiratory gating radiotherapy.

    abstract:BACKGROUND AND OBJECTIVE:Respiratory gating training is a common technique to increase patient proprioception, with the goal of (e.g.) minimizing the effects of organ motion during radiotherapy. In this work, we devise a system based on autoencoders for classification of regular, apnea and unconstrained breathing patte...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2020.105675

    authors: Abreu M,Fred A,Valente J,Wang C,Plácido da Silva H

    更新日期:2020-10-01 00:00:00

  • Volumetric interpolation of tomographic sequences for accurate 3D reconstruction of anatomical parts.

    abstract:BACKGROUND AND OBJECTIVE:Tomographic sequences of biomedical images are commonly used to achieve a three-dimensional visualization of the human anatomy. In some cases, the number of images contained in the sequence is limited, e.g., in low-dose computed tomography acquired on neonatal patients, resulting in a coarse an...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2020.105525

    authors: Santarelli C,Argenti F,Uccheddu F,Alparone L,Carfagni M

    更新日期:2020-10-01 00:00:00

  • Fréchet PDF based Matched Filter Approach for Retinal Blood Vessels Segmentation.

    abstract:BACKGROUND AND OBJECTIVE:Retinal pathology diseases such as glaucoma, obesity, diabetes, hypertension etc. have deadliest impact on life of human being today. Retinal blood vessels consist of various significant information which are helpful in detection and treatment of these diseases. Therefore, it is essential to se...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2020.105490

    authors: Saroj SK,Kumar R,Singh NP

    更新日期:2020-10-01 00:00:00

  • Impact of total variation minimization in volume rendering visualization of breast tomosynthesis data.

    abstract:BACKGROUND AND OBJECTIVE:Total Variation (TV) minimization algorithms have achieved great attention due to the virtue of decreasing noise while preserving edges. The purpose of this work is to implement and evaluate two TV minimization methods in 3D. Their performance is analyzed through 3D visualization of digital bre...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2020.105534

    authors: Mota AM,Clarkson MJ,Almeida P,Peralta L,Matela N

    更新日期:2020-10-01 00:00:00

  • Computer-aided classification of hepatocellular ballooning in liver biopsies from patients with NASH using persistent homology.

    abstract:BACKGROUND AND OBJECTIVE:Hepatocellular ballooning is an important histological parameter in the diagnosis of nonalcoholic steatohepatitis (NASH), and it is considered to be a morphological pattern that indicates the severity and the progression to cirrhosis and liver-related deaths. There remains uncertainty about the...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2020.105614

    authors: Teramoto T,Shinohara T,Takiyama A

    更新日期:2020-10-01 00:00:00

  • Shape prior model via dual subspace segment projection learning.

    abstract:BACKGROUND AND OBJECTIVE:Shape prior models play a vital role for segmentation in medical image analysis. These models are most effective when shape variations can be captured by a parametric distribution, and sufficient training data is available. However, in the absence of these conditions, results are invariably muc...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2020.105760

    authors: Belous G,Busch A,Gao Y

    更新日期:2020-09-24 00:00:00

  • Reinforcement learning for optimal scheduling of Glioblastoma treatment with Temozolomide.

    abstract:BACKGROUND:Glioblastoma multiforme (GBM) is the most frequent primary brain tumor in adults and Temozolomide (TMZ) is an effective chemotherapeutic agent for its treatment. In Silico models of GBM growth provide an appropriate foundation for analysis and comparison of different regimens. We propose a mathematical frame...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2020.105443

    authors: Ebrahimi Zade A,Shahabi Haghighi S,Soltani M

    更新日期:2020-09-01 00:00:00

  • Prediction of osteoporotic hip fracture in postmenopausal women through patient-specific FE analyses and machine learning.

    abstract::A great challenge in osteoporosis clinical assessment is identifying patients at higher risk of hip fracture. Bone Mineral Density (BMD) measured by Dual-Energy X-Ray Absorptiometry (DXA) is the current gold-standard, but its classification accuracy is limited to 65%. DXA-based Finite Element (FE) models have been dev...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2020.105484

    authors: Villamor E,Monserrat C,Del Río L,Romero-Martín JA,Rupérez MJ

    更新日期:2020-09-01 00:00:00

  • Biomechanical effects of the working modes of LVADs on the aortic valve: A primary numerical study.

    abstract::Aortic valve diseases caused by the support from left ventricular assist devices (LVADs) have attracted increasing attention due to the wide application of the LVADs. However, the biomechanical effects of the working modes of LVADs on the aortic valve are still poorly understood. Hence, in this study, these biomechani...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2020.105512

    authors: Gao B,Zhang Q

    更新日期:2020-09-01 00:00:00

  • Fast parallel vessel segmentation.

    abstract:BACKGROUND AND OBJECTIVE:Accurate and fast vessel segmentation from liver slices remain challenging and important tasks for clinicians. The algorithms from the literature are slow and less accurate. We propose fast parallel gradient based seeded region growing for vessel segmentation. Seeded region growing is tedious w...

    journal_title:Computer methods and programs in biomedicine

    pub_type: 杂志文章

    doi:10.1016/j.cmpb.2020.105430

    authors: Satpute N,Naseem R,Palomar R,Zachariadis O,Gómez-Luna J,Cheikh FA,Olivares J

    更新日期:2020-08-01 00:00:00

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