Article
Computer Science, Interdisciplinary Applications
Preeti, Odelu Ojjela
Summary: The study investigates the thermal performance of various shapes and compositions of nanofluids through mathematical modeling, with platelet-shaped Al2O3 nanofluid identified as the best heat transporter. The addition of SiO2 nanoparticles enhances heat transfer rate, and the influence of nanoparticle volume fraction and thermofluidic parameters on heat transport phenomenon is discussed. The MATLAB code developed for numerical solution is validated against existing literature.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2022)
Article
Mechanics
Basel Al Bishtawi, Yan Hao Soo, Andy T. Y. Chan, Gianfranco Scribano
Summary: Atherosclerosis is a clinically categorized disease that is known as a "silent killer" because its symptoms become pronounced only after extensive progression. The focus of this study is to understand plaque formation and the role of structural variations in a carotid artery model. By tracking hemodynamic indicators and analyzing numerical results, the study reveals the impact of bifurcation angle and stenosis degree on plaque progression.
EUROPEAN JOURNAL OF MECHANICS B-FLUIDS
(2023)
Article
Engineering, Multidisciplinary
Sohail Nadeem, Salman Akhtar, Anber Saleem, Nevzat Akkurt, Hassan Ali Ghazwani, Sayed M. Eldin
Summary: This research investigates the analysis of arterial blood flow through different stenotic regions. Four types of stenotic regions, including triangular, trapezoidal, overlapping (w-shape), and composite formations, are studied for the first time in numerical analysis. An elliptical cross-sectional artery is modeled using a cartesian coordinate system, and the governing partial differential equations are numerically solved with the Open-FOAM CFD software. The results show a high flow profile with minor disruptions near the origin of stenotic sections, and high pressure values near the sharp corners of stenotic regions. Expected irregularities in the flow profile are observed, typical of real-life stenosed artery blood flow problems.
ALEXANDRIA ENGINEERING JOURNAL
(2023)
Article
Thermodynamics
Zhongyang Yu, Leren Tao, Lihao Huang, Dong Wang, Suhan Zhang, Qing Yu, Meng Li
Summary: This study investigates the convective flow and heat transfer characteristics of supercritical carbon dioxide in various inclined spirally fluted tubes using numerical simulation. The results show that buoyancy forces have different effects on flow behavior at different inclination angles and fluid regions. The optimal inclination angle for maximum heat transfer coefficient varies as the helix angle increases.
INTERNATIONAL JOURNAL OF THERMAL SCIENCES
(2021)
Article
Engineering, Biomedical
Tao Peng, Yunlong Zhong, Xiaodong Lin, Bingyan Jiang, Ping Wang, Yanwei Jia
Summary: This study investigates the impact of bile duct stricture on bile flow dynamics using numerical methods. The results show that stricture alters the normal flow pattern, increases flow resistance, and leads to changes in biliary hydrodynamic indexes. These changes could potentially serve as a predictor for gallstone formation and related diseases.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING
(2023)
Article
Mechanics
Fu-Sheng Qiu, Bo-Wen Wang, Yi-Ming Du, Hui-Yuan Qian
Summary: This study simulated and analyzed the influence of flight attitude on the aerodynamic characteristics of dandelion seeds using a simplified rigid pappus model. The results showed that different attitudes can lead to the breakdown of the vortex ring structure and a loss of drag performance.
Article
Engineering, Mechanical
Ruixue Guo, Yue Bai, Xinbiao Pei, Zhitong Lai
Summary: The study revealed that the aerodynamic characteristics of biplane airfoils are influenced by spacing effect and angle of attack, while the overall lift-to-drag ratio trends are similar to a single airfoil. The research also unveiled different generation mechanisms of trailing-edge vortices and the relationship between vorticity fields and angle of attack.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2021)
Article
Mechanics
Yin Guan, Shuang Wu, Mengduo Wang, Yu Tian, Chuanpeng Yu, Wuxing Lai, YongAn Huang
Summary: This study numerically investigates the mechanism of high-frequency pulsating electrohydrodynamic jet at low electric Bond numbers. By analyzing parameters such as voltage distribution, electric charge density, and flow field, the influences of factors like electric voltage, nozzle-to-substrate distance, and liquid surface tension coefficient on the dynamic behaviors and durations of three jetting stages are revealed. Additionally, the relative significance of electric force to surface tension force and the impacts of electric Bond number on the jetting process are also examined.
Article
Engineering, Biomedical
Fatin Sonmez, Sendogan Karagoz, Orhan Yildirim, Ilker Firat
Summary: This study investigates the impact of different pulse values and stenosis rates on pressure drop, peristaltic pump outlet pressure, fractional flow reserve (FFR), and power consumption. The experiment uses models produced from clinical images with varying stenosis rates. The findings suggest that as stenosis rates increase, the pressure drop in the affected region also increases, and the peristaltic pump requires more power to overcome the higher pressure difference. Both the pump outlet pressure and wall shear stress increase significantly with higher pulse rates.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING
(2023)
Article
Engineering, Marine
Pengyao Yu, Hang Xie, Fang Liu, Ping Li, Gao cheng Lv
Summary: This paper studied the water entry of a 2D seaplane section with the bottom cabin and discussed the hydrodynamic characteristics related to water impact, such as free surface, pressure distribution, and pressure time history. The study used a compressible air-water two-phase model and VOF algorithm for numerical simulation.
Article
Thermodynamics
Mingrui Wang, Huiren Zhu, Cunliang Liu, Rui Wang, Zhuang Wu, Chunyi Yao
Summary: This article investigates the heat transfer and flow structures of dimples, orthogonal ribs, and V-shaped ribs in the impingement/effusion cooling, aiming to select the best-performing internal cooling structure for a turbine vane. The influence of structural modifications on the flow field is analyzed on chordwise/spanwise sections and the target surface. The best-performing cooling structure is found to be the target surface with dimples and orthogonal ribs.
JOURNAL OF THERMAL SCIENCE
(2023)
Article
Environmental Sciences
Neng Fang, Lingyan Zeng, Zhengqi Li, Yue Lu, Zhichao Chen
Summary: This study examined the newly developed entrained-flow gasification technology for gasifying raw syngas, with simulation and experimental verification showing promising results. Different zones in the gasifier exhibit distinct characteristics in combustion and gasification reactions, and adjusting the burner inclination angle can improve the efficiency of the gasifier operation.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Engineering, Marine
Van-Duyen Pham, Ji-Woo Hong, Ali Kareem Hilo, Kiseong Kim, Byoung-Kwon Ahn
Summary: This paper systematically investigates the effect of cavitator shape on the characteristics of a ventilated supercavity. The results show that a cavitator with a smaller cone angle requires less ventilation gas to generate and maintain a transparent supercavity. The pressure behavior inside the supercavity becomes more uniform with an increase in the Froude number, and the effects of gravity on the ventilated supercavity geometry are minimal.
INTERNATIONAL JOURNAL OF NAVAL ARCHITECTURE AND OCEAN ENGINEERING
(2022)
Article
Education, Scientific Disciplines
Salman Akhtar, Zahir Hussain, Sohail Nadeem, I. M. R. Najjar, A. M. Sadoun
Summary: This research article presents a computational fluid dynamics analysis of blood flow in a symmetric stenosed artery, specifically focusing on the left coronary artery. By using the Open-Field Operation And Manipulation toolbox, the study evaluates the physiological aspects of coronary artery disease numerically. The findings provide insights into how the blood flow is affected by the disease.
Article
Construction & Building Technology
M. Kazemi Esfeh, A. Sohankar, A. R. Shahsavari, M. R. Rastan, M. Ghodrat, M. Nili
Summary: The study shows that the natural ventilation performance of semi-cylindrical curved roofs is significantly influenced by wind angle, with extreme ventilation occurring at specific angles and factors such as wind resistance and flow speed affecting ventilation efficiency. The height of the curved roof is crucial in enhancing internal recirculation flow, and the semi-cylindrical curved roof is found to enhance natural ventilation inside buildings comparable to wind-catchers, potentially at a lower cost in terms of structure.
BUILDING AND ENVIRONMENT
(2021)
Article
Chemistry, Physical
Haoran Cheng, Azher M. Abed, As'ad Alizadeh, Amer Ali Ghabra, Farag M. A. Altalbawy, Roozbeh Sabetvand, Ghassan Fadhil Smaisim, Anupam Yadav, Davood Toghraie, Yassine Riadi
Summary: This study examines the influence of temperature and external force on nanochannel simulated samples. The results show that increasing temperature and external force can enhance heat flux and thermal conductivity, improving the thermal performance.
JOURNAL OF MOLECULAR LIQUIDS
(2023)
Article
Engineering, Mechanical
Mohammad Hemmat Esfe, Davood Toghraie, Fatemeh Amoozadkhalili
Summary: This study investigates the viscosity (mu nf) of MWCNT-TiO2(10:90)/SAE40 nanofluid (NF) using an artificial neural network (ANN). The results show that ANN can accurately estimate the viscosity and is more time and cost-effective compared to repetitive experiments.
TRIBOLOGY INTERNATIONAL
(2023)
Article
Engineering, Mechanical
Mohammad Hemmat Esfe, Mahmoud Kiannejad Amiri, Mohammad Reza Sarmasti Emami, Davood Toghraie
Summary: In this paper, the rheological behavior of MWCNT-MgO (30:70)/SAE50 hybrid nanofluid is experimentally studied. The effects of temperature, volume fraction of nanoparticles, and shear rate on viscosity are investigated. The results show that the hybrid nanofluid exhibits both viscosity reduction and enhancement under different conditions. An empirical correlation for predicting the relative viscosity of the nanofluid is proposed and shows good agreement with experimental data.
TRIBOLOGY INTERNATIONAL
(2023)
Article
Engineering, Multidisciplinary
Mohammad Hemmat Esfe, Davood Toghraie
Summary: This study simulates the effects of wind velocity on the performance of passive single-slope solar stills in Khuzestan Province, Iran. The results indicate that a rise in the wind velocity decreases the freshwater production rate, and Ramhormoz, Dehdez, and Izeh are found to be optimal regions for deploying solar stills based on wind velocity.
ALEXANDRIA ENGINEERING JOURNAL
(2023)
Article
Engineering, Multidisciplinary
Mohammad Hemmat Esfe, Mohammad Hassan Kamyab, Erfan Mohammadnejad Ardeshiri, Davood Toghraie
Summary: This study investigates the rheological behavior of a specific type of hybrid nanofluid under different temperature and laboratory conditions, indicating its non-Newtonian nature. The research highlights the unique viscosity behavior of the hybrid nanofluid compared to the base oil at specific temperatures and solid volume fractions. The experimental data is predicted accurately using response surface methodology, resulting in a nonlinear relationship between temperature, solid volume fraction, and shear rate.
ALEXANDRIA ENGINEERING JOURNAL
(2023)
Article
Biology
Huanlei Wang, Azher M. Abed, Anahita Piranfar, Ghassan Fadhil Smaisim, Salema K. Hadrawi, Hussein Zekri, Davood Toghraie, Maboud Hekmatifar, As'ad Alizadeh
Summary: The impact of porosity and the number of cancer cells on the atomic behavior of cancer cells during hematogenous spread was investigated using molecular dynamics simulation. It was found that increasing porosity and increasing number of cancer cells led to changes in cancer cell structure and affected their stability. The gyration radius, interaction energy, and interaction force of the samples increased with increasing porosity, while decreased with increasing number of cancer cells. Decreasing the gyration radius can improve the strength and stability of the simulated samples.
COMPUTERS IN BIOLOGY AND MEDICINE
(2023)
Article
Engineering, Multidisciplinary
Navid Habibollahi, Ali Abdollahi, S. Mohammad Sajadi, Davood Toghraie, Sobhan Emami, Mohamad Shahgholi, Mustafa Inc
Summary: This study used MD simulations to investigate the thermal and combustion behavior of coated aluminum hydride nanoparticles in an oxygenated medium. The system's behavior was studied in the presence of two coatings, ethanol and nickel atomic, by analyzing temperature changes, potential energy changes, penetrated oxygen, heat flux changes, and radial distribution functions. The results showed that the combustion process occurred faster with the ethanol coating than the nickel coating, as evidenced by higher heat flux and oxygen penetration. Increasing the percentage of ethanol coating to 12% further enhanced the combustion process and increased the number of infiltrated oxygen atoms.
ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS
(2023)
Article
Engineering, Chemical
Ashkan Ghafouri, Davood Toghraie
Summary: This study evaluates the thermal conductivity of a new mixture of hybrid nanofluids composed of SiC and ZnO nanoparticles in the base fluid of ethylene glycol. The results show that the thermal conductivity enhancement is maximized at the highest temperature and volume fraction, as well as the smallest nanoparticle size. A new multivariate correlation is proposed, which accurately predicts the thermal conductivity based on temperature, nanoparticle size, and volume fraction. The importance of the parameters is found to be in the order of volume fraction > temperature > nanoparticle size.
JOURNAL OF THE TAIWAN INSTITUTE OF CHEMICAL ENGINEERS
(2023)
Article
Biology
Hao Peng, Leping Dang, Davood Toghraie
Summary: The aggregation of 7S globulin protein in soybean seeds plays an important role in the food industry. Molecular Dynamics simulations were used to predict the thermal properties and behavior of this protein under different conditions. The results showed that pressure and temperature have a significant impact on the thermal behavior of the protein. These findings can contribute to the development of new methods for food industry purposes.
JOURNAL OF THERMAL BIOLOGY
(2023)
Review
Materials Science, Multidisciplinary
Vahid Monfared, Hamid Reza Bakhsheshi-Rad, Mahmood Razzaghi, D. Toghraie, Maboud Hekmatifar, Filippo Berto
Summary: This article provides a brief review of the creep behavior of nanocomposites-based materials in recent years. Investigating the time-dependent plastic deformation of nanocomposites is crucial in modern sciences. The study of creep is important for applications under high temperature and high stresses, such as turbine blades, spaceships, shuttles, and nozzle guide vanes. Additionally, the article presents a detailed review of the creep behavior of metal-based nanocomposites, particularly magnesium-based ones, and suggests the use of nanoparticle encapsulation to improve their creep resistance.
METALS AND MATERIALS INTERNATIONAL
(2023)
Review
Materials Science, Multidisciplinary
Vahid Monfared, Seeram Ramakrishna, Navid Nasajpour-Esfahani, Davood Toghraie, Maboud Hekmatifar, Sadegh Rahmati
Summary: This article reviews and studies several significant and applied results in 3D printing and additive manufacturing (AM) science and technology, which were published in 2020. The main purpose is to collect new and applied research results for researchers. AM is a highly discussed topic and subject in scientific and industrial societies, and it is considered as a new vision of the unknown modern world. The future of AM materials is undergoing fundamental changes, making it a continuous new industrial revolution in the digital world. Additionally, AM and 3D printing are moving towards the fifth industrial revolution. Studying AM is vital for generating future developments that benefit human beings and life. This article presents a brief overview of the updated and applied methods and results published in 2020.
METALS AND MATERIALS INTERNATIONAL
(2023)
Article
Energy & Fuels
Abdullah Bahlekeh, Hosseinali Ramezani Mouziraji, Hussein Togun, Abolfazl Ebrahimnataj Tiji, Azher M. Abed, Hayder I. Mohammed, Raed Khalid Ibrahem, Muataz S. Alhassan, Pouyan Talebizadehsardari
Summary: This study numerically analyzed the impact of fin number and size on the solidification output of a double-tube container filled with phase change material (PCM). By changing the dimensions of the fins, the heat transfer performance of PCM was examined and compared to scenarios without fins. Multiple inline configurations were explored to achieve optimal performance. The initial conditions of the heat transfer fluid (HTF) were considered in the analysis. The results showed that longer fins with higher numbers significantly improved the solidification rate of PCM.
ENERGY SCIENCE & ENGINEERING
(2023)
Article
Energy & Fuels
Koorosh Khosravi, Hayder I. Mohammed, Jasim M. Mahdi, Mahyar Silakhori, Mohammadreza Ebrahimnataj Tiji, Arash Kazemian, Tao Ma, Pouyan Talebizadehsardari
Summary: A three-dimensional numerical simulation and optimization method were used to evaluate and improve the efficiency of photovoltaic solar modules connected with linear pipes for water supply. The study found that the thermal exergy effectiveness plays a crucial role in system performance. Single-objective optimization showed that maximizing heat transfer efficiency, whole energy effectiveness, or thermal exergy efficiency, or minimizing destroyed exergy, improved energy and exergy efficiencies. Multi-objective optimization indicated that the optimized results were within desirable limits. These findings provide valuable insights for designing high-efficiency photovoltaic/thermal systems.
Article
Acoustics
Zhiming Liu, Ashkan Bahadoran, As'ad Alizadeh, Nafiseh Emami, Tariq J. Al-Musaw, Ahmed Hussien Radie Alawadi, Aseel M. Aljeboree, Mahmoud Shamsborhan, Iman Najafipour, Seyed Erfan Mousavi, Milad Mosallanezhad, Davood Toghraie
Summary: Water pollution management, reduction, and elimination are crucial challenges in current times that put the lives of millions at risk. The increased use of antibiotics, like azithromycin, due to the spread of the coronavirus in December 2019, has led to their presence in surface waters. A ZIF-8/zeolite composite was synthesized using the sonochemical method and its efficacy in adsorption was studied through various parameters. The composite showed promising adsorption capacity, spontaneous and endothermic adsorption process, and successful removal of the drug in multiple cycles.
ULTRASONICS SONOCHEMISTRY
(2023)
Article
Construction & Building Technology
Nidhal Ben Khedher, Hussein Togun, Azher M. Abed, Hussein M. Taqi Al-Najjar, Anmar Dulaimi, Hayder I. Mohammed, Jasim M. Mahdi, A. Yvaz, Pouyan Talebizadehsardari
Summary: This study investigates the effect of circular Y-shaped fin arrangement on the low thermal response rates of a heat exchanger with Paraffin phase change material. Computational fluid dynamic simulations are conducted using ANSYS software, considering fluid flow, heat transfer, and phase change process. The optimal fin configuration is determined through sensitivity analysis of the Y-shaped fin's geometrical parameters. Results show that using Y-shaped fins reduces solidification time by 22% and enhances discharging rate by 26% compared to straight fins. The length of the fins is inversely proportional to solidification time, and increasing the number of fins improves heat transfer rate significantly.
JOURNAL OF BUILDING ENGINEERING
(2023)
Article
Computer Science, Interdisciplinary Applications
Alireza Karimi, Reza Razaghi, Siddharth Daniel D'costa, Saeed Torbati, Sina Ebrahimi, Seyed Mohammadali Rahmati, Mary J. Kelley, Ted S. Acott, Haiyan Gong
Summary: This study investigated the biomechanical properties of the conventional aqueous outflow pathway using fluid-structure interaction. The results showed that the distribution of aqueous humor wall shear stress within this pathway is not uniform, which may contribute to our understanding of the underlying selective mechanisms.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Robert V. Bergen, Jean-Francois Rajotte, Fereshteh Yousefirizi, Arman Rahmim, Raymond T. Ng
Summary: This article introduces a 3D generative model called TrGAN, which can generate medical images with important features and statistical properties while protecting privacy. By evaluating through a membership inference attack, the fidelity, utility, and privacy trade-offs of the model were studied.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Hoda Mashayekhi, Mostafa Nazari, Fatemeh Jafarinejad, Nader Meskin
Summary: In this study, a novel model-free adaptive control method based on deep reinforcement learning (DRL) is proposed for cancer chemotherapy drug dosing. The method models the state variables and control action in their original infinite spaces, providing a more realistic solution. Numerical analysis shows the superior performance of the proposed method compared to the state-of-the-art RL-based approach.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Hao Sun, Bao Li, Liyuan Zhang, Yanping Zhang, Jincheng Liu, Suqin Huang, Xiaolu Xi, Youjun Liu
Summary: In cases of moderate stenosis in the internal carotid artery, the A1 segment of the anterior cerebral artery or the posterior communicating artery within the Circle of Willis may show a hemodynamic environment with high OSI and low TAWSS, increasing the risk of atherosclerosis development and stenosis in the CoW.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Ilaria Toniolo, Paola Pirini, Silvana Perretta, Emanuele Luigi Carniel, Alice Berardo
Summary: This study compared the outcomes of endoscopic sleeve gastroplasty (ESG) and laparoscopic sleeve gastrectomy (LSG) in weight loss surgery using computational models of specific patients. The results showed significant differences between the two procedures in terms of stomach volume reduction and mechanical stimulation. A predictive model was proposed to support surgical planning and estimation of volume reduction after ESG.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Chun-You Chen, Ya-Lin Chen, Jeremiah Scholl, Hsuan-Chia Yang, Yu-Chuan (Jack) Li
Summary: This study evaluated the overall performance of a machine learning-based CDSS (MedGuard) in triggering clinically relevant alerts and intercepting inappropriate drug errors and LASA drug errors. The results showed that MedGuard has the ability to improve patients' safety by triggering clinically valid alerts.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Lingzhi Tang, Xueqi Wang, Jinzhu Yang, Yonghuai Wang, Mingjun Qu, HongHe Li
Summary: In this paper, a dynamical local feature fusion net for automatically recognizing aortic valve calcification (AVC) from echocardiographic images is proposed. The network segments high-echo areas and adjusts the selection of local features to better integrate global and local semantic representations. Experimental results demonstrate the effectiveness of the proposed approach.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
You-Lei Fu, Wu Song, Wanni Xu, Jie Lin, Xuchao Nian
Summary: This study investigates the combination of surface electromyographic signals (sEMG) and deep learning-based CNN networks to study the interaction between humans and products and the impact on body comfort. It compares the advantages and disadvantages of different CNN networks and finds that DenseNet has unique advantages over other algorithms in terms of accuracy and ease of training, while mitigating issues of gradient disappearance and model degradation.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Moritz Rempe, Florian Mentzel, Kelsey L. Pomykala, Johannes Haubold, Felix Nensa, Kevin Kroeninger, Jan Egger, Jens Kleesiek
Summary: In this study, a deep learning-based skull stripping algorithm for MRI was proposed, which works directly in the complex valued k-space and preserves the phase information. The results showed that the algorithm achieved similar results to the ground truth, with higher accuracy in the slices above the eye region. This approach not only preserves valuable information for further diagnostics, but also enables immediate anonymization of patient data before being transformed into the image domain.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Ziyang Chen, Laura Cruciani, Elena Lievore, Matteo Fontana, Ottavio De Cobelli, Gennaro Musi, Giancarlo Ferrigno, Elena De Momi
Summary: In this paper, a deep learning-based approach is proposed to recover 3D information of intra-operative scenes, which can enhance the safety of robot-assisted surgery by implementing depth estimation using stereo images.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Ao Leng, Bolun Zeng, Yizhou Chen, Puxun Tu, Baoxin Tao, Xiaojun Chen
Summary: This study presents a novel training system for zygomatic implant surgery, which offers a more realistic simulation and training solution. By integrating visual, haptic, and auditory feedback, the system achieves global rigid-body collisions and soft tissue simulation, effectively improving surgeons' proficiency.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Yingjie Wang, Xueqing Yin
Summary: This study developed an integrated computational model combining coronary flow and myocardial perfusion models to achieve physiologically accurate simulations. The model has the potential for clinical application in diagnosing insufficient myocardial perfusion.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Nitzan Avidan, Moti Freiman
Summary: This study aims to enhance the generalization capabilities of DNN-based MRI reconstruction methods for undersampled k-space data. By introducing a mask-aware DNN architecture and training method, the under-sampled data and mask are encoded within the model structure, leading to improved performance. Rigorous testing on the widely accessible fastMRI dataset reveals that this approach demonstrates better generalization capabilities and robustness compared to traditional DNN methods.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Enhao Zhang, Saeed Miramini, Lihai Zhang
Summary: This study investigates the combined effects of osteoporosis and diabetes on fracture healing process by developing numerical models. The results show that osteoporotic fractures have higher instability and disruption in mesenchymal stem cells' proliferation and differentiation compared to non-osteoporotic fractures. Moreover, when osteoporosis coexists with diabetes, the healing process of fractures can be severely impaired.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Yunhao Bai, Wenqi Li, Jianpeng An, Lili Xia, Huazhen Chen, Gang Zhao, Zhongke Gao
Summary: This study proposes an effective MIL method for classifying WSI of esophageal cancer. The use of self-supervised learning for feature extractor pretraining enhances feature extraction from esophageal WSI, leading to more robust and accurate performance. The proposed framework outperforms existing methods, achieving an accuracy of 93.07% and AUC of 95.31% on a comprehensive dataset of esophageal slide images.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
