Article
Engineering, Chemical
Saswat Kumar Nayak, Sourav Mondal
Summary: This study introduces a new viscosity correction in non-Newtonian fluid based on fundamental boundary layer analysis, validated with literature experimental data. Accurate estimation of viscosity correction is crucial for predicting heat transfer coefficient, affecting effective heat transfer area.
CHEMICAL ENGINEERING SCIENCE
(2021)
Article
Thermodynamics
Chao-zhe Zhu, M. Nematipour, Rahim Bina, H. Fayaz
Summary: The current study focuses on improving the cooling performance of turbine blades by utilizing non-Newtonian fluid. The rheology of non-Newtonian behavior is introduced and a differential quadrature procedure is used to simplify the highly nonlinear equations of motion. The findings show that changing the cross-viscosity parameter and power law index has a significant impact on the cooling performance of turbine blades.
CASE STUDIES IN THERMAL ENGINEERING
(2023)
Article
Thermodynamics
Saeed Ghorbani, Amin Emamian, Amin Amiri Delouei, R. Ellahi, Sadiq M. Sait, Mohamed Bechir Ben Hamida
Summary: The purpose of this study is to investigate heat transfer and electrokinetic non-Newtonian flow in a rectangular microchannel in the developed and transient states. The Carreau-Yasuda model was used to capture the non-Newtonian behavior of the fluid, and the governing equations were numerically solved by considering the volumetric force term of electric current. The results show that the electrokinetic diameter, Brinkman number, and Peclet number have significant effects on the velocity and temperature distribution, with the maximum velocity occurring at an electrokinetic diameter of 400.
INTERNATIONAL JOURNAL OF NUMERICAL METHODS FOR HEAT & FLUID FLOW
(2023)
Article
Engineering, Multidisciplinary
Yutao Li, Shahab Naghdi Sedeh, As'ad Alizadeh, Maytham N. Meqdad, Ahmed Hussien Alawadi, Navid Nasajpour-Esfahani, Davood Toghraie, Maboud Hekmatifar
Summary: Cardiovascular illnesses are a major cause of death worldwide, and studies have shown that the computational hemodynamic method is an effective approach for controlling and preventing these diseases. This computational study investigates the impact of five non-Newtonian viscosity models on cerebral blood vessels using the computational hemodynamic method.
AIN SHAMS ENGINEERING JOURNAL
(2023)
Article
Biology
S. Majee, S. Maiti, G. C. Shit, D. K. Maiti
Summary: This study numerically investigates the spatio-temporal flow of blood and heat transfer through a porous medium under the action of a magnetic field. Results showed that increasing the Darcy number leads to higher axial velocity while decreasing temperature and wall shear stress. Additionally, the average Nusselt number increases with magnetic field strength but decreases due to the permeability of the porous medium.
COMPUTERS IN BIOLOGY AND MEDICINE
(2021)
Article
Thermodynamics
Asma Tufail, Shams ul Islam, Shagufta Yasmeen, M. Saleem, Shafee Ahmad
Summary: This study investigated blood flow through a stenosed artery under the presence of inflammation. The governing equations, in dimensionless form, were solved using the finite element method. The results showed that the rate of heat transfer significantly affected the flow field in the presence of a magnetic field. The findings for inflamed stenosis are particularly important in the biomagnetic field and health sciences.
INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER
(2023)
Article
Engineering, Multidisciplinary
Milad Geraeilinezhad, Hamid Hassanzadeh Afrouzi, Omid Jahanian, Abbasali Abouei Mehrizi
Summary: This study applies the lattice Boltzmann method to analyze the heat transfer characteristics of Pseudoplastic fluid in a microchannel. The Power law model is used to simulate non-Newtonian fluids. Surface fluid slip is implemented on hydrophobic surfaces, and the viscose dissipation term is considered in the governing equations. The results indicate that the average Nusselt number is more significant in the microchannel with a power index of 0.5 for non-Newtonian fluid compared to Newtonian fluid, while the impact of viscose dissipation on the average Nusselt number is insignificant.
ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS
(2023)
Article
Computer Science, Interdisciplinary Applications
Sapna Jain, Rama Bhargava
Summary: This study investigates the heat transfer and flow of a power-law nanofluid in a bent vertical wavy walls enclosure using the mesh free method (EFGM) and a parallel scheme. The results show variations in heat transfer rate, isotherms, and streamlines influenced by the Aspect ratio, Rayleigh number, Prandtl number, power-law index, and wave amplitude. The average Nusselt number improves with increasing Prandtl number, Rayleigh number, and aspect ratio, but decreases with increasing power-law index and surface waviness. The parallel implementation scheme demonstrates better efficiency compared to the sequential scheme. Such research has direct applications in electronic devices, food processing industries, and biomedical applications.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2023)
Article
Engineering, Multidisciplinary
Kejia Pan, Muhammad Ibrahim, Tareq Saeed, Syed Ibrahim, Murad Ali Shah
Summary: This research investigated the turbulent flow field and heat transfer rate of non-Newtonian fluid with vortex generators in a channel. The depth change of the vortex generators had no significant impact on the Nu value and pressure drop. Higher turbulent flow (higher Re value) greatly increased the heat transfer rate. The formation of vortex movements caused significant variations in local Nu value. In the VG zone with an attack angle of 60 degrees, there was a sudden change in fluid flow, resulting in a larger pressure drop.
ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS
(2022)
Article
Engineering, Chemical
Jaspinder Kaur, Roderick Melnik, Anurag Kumar Tiwari
Summary: This study numerically investigates forced convection heat transfer from a heated blunt-headed cylinder in power-law fluids, exploring the effects of different parameters on heat transfer performance. The results show that heat transfer is more significant in shear-thinning fluids and can be enhanced by increasing Reynolds number and Prandtl number.
INTERNATIONAL JOURNAL OF CHEMICAL REACTOR ENGINEERING
(2021)
Article
Thermodynamics
Likhan Das, Fazlay Rubbi, Khairul Habib, R. Saidur, Nazrul Islam, Bidyut Baran Saha, Navid Aslfattahi, Kashif Irshad
Summary: A new class of surfactant-free Ionanofluid was developed and its thermophysical and rheological properties were assessed, showing that the 0.10% Ionanofluid had the highest thermal conductivity enhancement. The study also investigated the hydrothermal performance of an insert-fitted DPHEX, with the rectangular-cut TT insert demonstrating the highest heat transfer enhancement.
CASE STUDIES IN THERMAL ENGINEERING
(2021)
Article
Thermodynamics
Krishanu Kumar, Pankaj Kumar
Summary: A three-dimensional numerical simulation was conducted to study fluid flow and heat transfer characteristics in a rectangular microchannel heat sink with arc grooves. Results show that adding grooves can enhance heat transfer in the microchannel but may increase the Poiseuille number; groove depth affects the performance of the microchannel at low Reynolds numbers, but has no significant effect on performance enhancement at high Reynolds numbers; groove configuration also plays a major role in enhancing the performance of the microchannel.
INTERNATIONAL JOURNAL OF THERMAL SCIENCES
(2021)
Article
Thermodynamics
Tej Pratap Singh, Amitesh Kumar, Ashok Kumar Satapathy
Summary: This study investigates the enhancement of heat transfer rate using a sinusoidal wavy wall surface in a turbulent dual jet. It is found that changes in amplitude and number of cycles of the sinusoidal wavy surface impact turbulent characteristics and heat transfer rate, resulting in nearly 20.70% improvement when N = 7 and A = 0.7.
INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER
(2021)
Article
Thermodynamics
Piyush Pratap Singh, Mohit Trivedi, Tarak Mondal, Neelknath Nirmalkar
Summary: This study investigates the influence of shear-thinning behavior on overall heat transfer characteristics and reports numerical results under different dimensionless number conditions, finding that shear-thinning fluids can offer a 50-60% enhancement in Nusselt number at higher Darcy numbers.
INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER
(2021)
Article
Engineering, Multidisciplinary
Liu Xingting, Chen Xingyu, Zhang Yunwu, Xie Jie, Jia Xingcan, Deng Tingting, Zheng Yongfeng, Davood Toghraie, Majid Zarringhalam
Summary: This study used the non-Newtonian Sisko model and UDF in Fluent to simulate blood flow behavior within stenosis arteries. The effects of different stenosis angles and artery radii on the Nusselt number and temperature of blood flow were studied. The results showed that increasing stenosis angles and reducing internal radius narrowed the artery, resulting in higher Nusselt number and lower temperature of blood flow. The application of different heat fluxes also led to significant temperature enhancements, which have important implications in medical science.
ALEXANDRIA ENGINEERING JOURNAL
(2022)
Article
Physics, Condensed Matter
Guanfeng Cao, Mehrdad Rabiei, Haneen M. Al-Tamimi, Navid Nasajpour-Esfahani, Roozbeh Sabetvand, Ahmadreza Shamshiri, Maboud Hekmatifar, Davood Toghraie, Salema K. Hadrawi
Summary: This study investigates the mechanical behavior of a brick structure with graphene nano-sheet (GNS) reinforcement using Molecular Dynamics (MD) simulation. It demonstrates that the introduction of GNS significantly enhances the Young's modulus and tensile strength of the brick material.
SOLID STATE COMMUNICATIONS
(2023)
Article
Chemistry, Physical
Fengyun Wang, Navid Nasajpour-Esfahani, As'ad Alizadeh, Ghassan Fadhil Smaisim, Azher M. Abed, Salema K. Hadrawi, Saman Aminian, Roozbeh Sabetvand, D. Toghraie
Summary: This research used molecular dynamics simulations to study the thermal performance of phase change material microcapsules containing gold nanoparticles in a nanochannel. The results show that increasing the initial temperature decreases the charging and discharging time, viscosity, and phase transition time, while increasing the heat flux and thermal conductivity. Changing the initial pressure has a minimal effect on the charging and discharging time, heat flux, and thermal conductivity. Increasing the number of metal layers in the nanochannel shells prolongs the charging and discharging time but reduces the heat flux and thermal conductivity.
JOURNAL OF MOLECULAR LIQUIDS
(2023)
Article
Chemistry, Physical
Ying Chen, As'ad Alizadeh, Azher M. Abed, Navid Nasajpour-Esfahani, Ghassan Fadhil Smaisim, Salema K. Hadrawi, Hussein Zekri, Roozbeh Sabetvand, Davood Toghraie
Summary: Biodiesel is an environmentally friendly fuel obtained from renewable sources. This study investigated the effects of CuO and Al2O3 nanoparticles on the combustion performance of methyl ester-biodiesel. The results showed that CuO nanoparticles had better thermal performance than Al2O3 nanoparticles. Optimizing this process can improve the combustion performance of fuels, optimize fuel consumption, and reduce pollutant emissions.
JOURNAL OF MOLECULAR LIQUIDS
(2023)
Article
Materials Science, Multidisciplinary
Saeed Saber-Samandari, Davood Toghraie
Summary: A new nanocomposite scaffold was successfully synthesized in this study, which exhibited high porosity and the ability to induce bone-like apatite formation by incorporating carbon nanotubes and montmorillonite nanoparticles in a gelatin network. After soaking in simulated body fluid for 14 days, the scaffold surface successfully deposited Ca2+, CO32-, and PO43- ions. In addition, the introduction of nanoparticles significantly improved the mechanical properties of the scaffold and reduced the enzymatic degradation rate. The scaffold showed good biocompatibility and high photothermal efficiency, making it suitable for tissue engineering applications.
MATERIALS SCIENCE AND ENGINEERING B-ADVANCED FUNCTIONAL SOLID-STATE MATERIALS
(2023)
Article
Materials Science, Multidisciplinary
M. R. Morovvati, S. Niazi Angili, S. Saber-Samandari, M. Ghadiri Nejad, Davood Toghraie, A. Khandan
Summary: The size of pores in an ideal scaffold should allow for the easy passage of nutrients and oxygen, without impairing mechanical strength or being blocked by cells. Magnetic nanoparticles can improve the mechanical and biochemical properties of bone. Sodium bicarbonate was used as a space agent in this study, and the morphological and phase properties of bioglass-MNPs in the scaffolds were evaluated.
MATERIALS SCIENCE AND ENGINEERING B-ADVANCED FUNCTIONAL SOLID-STATE MATERIALS
(2023)
Article
Materials Science, Multidisciplinary
Jinping Chen, Mohamad Khaje Khabaz, Mohammad Mehdi Ghasemian, Farag M. A. Altalbawy, Abduladheem Turki Jalil, S. Ali Eftekhari, Mohammad Hashemian, Davood Toghraie, Zeid Fadel Albahash
Summary: This study investigates the mechanical behavior of double-walled carbon nanotubes (DWCNTs) under temperature gradients and electrical fields using the nonlocal reddy beam model, with a focus on their free vibrations. The research considers the interaction of van der Waals forces, as well as the effects of a Winkler-Pasternak foundation and nonlocal elasticity. The results reveal that increasing the outer radius of the nanotube leads to a decrease in the first dimensionless frequency, while increasing the length and Winkler spring constant results in higher initial frequencies. The study also provides optimal values for the L/r2 ratio to obtain minimum and maximum dimensionless natural frequencies for the Winkler spring model and shear constant of Pasternak.
MATERIALS SCIENCE AND ENGINEERING B-ADVANCED FUNCTIONAL SOLID-STATE MATERIALS
(2023)
Article
Chemistry, Multidisciplinary
Mohammad Hemmat Esfe, Soheyl Alidoust, Saeed Esfandeh, Davood Toghraie, Hossein Hatami, Mohammad Haassan Kamyab, Erfan Mohammadnejad Ardeshiri
Summary: In this study, the effect of basic parameters, such as solid volume fraction and temperature, on the thermal conductivity of SWCNT-CuO(25:75)/water nanofluid was investigated. The experimental results showed that the solid volume fraction had a significant impact on the relative thermal conductivity, and the optimum temperature for thermal conductivity was 50 degrees Celsius. A new relationship was established using the response surface methodology, and a comparison with other nanofluids was made.
ARABIAN JOURNAL OF CHEMISTRY
(2023)
Article
Materials Science, Multidisciplinary
M. Kardan-Halvaei, M. R. Morovvati, S. Niazi Angili, S. Saber-Samandari, K. Razmjooee, D. Toghraie, A. Khandan
Summary: Tissue engineering is an interdisciplinary approach that utilizes cells, scaffolds, and bio-factors to develop biosynthetic bone scaffolds for bone regeneration applications. In this study, bone scaffolds were 3D-printed using PLA material, and a variety of three-dimensional porous structures, including Kelvin, Octet truss, and Gibson Ashby, were employed. The compressive strength of structures follows the order sOctet truss > sGibson ashby > sKelvin.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2023)
Article
Thermodynamics
Yuan Zhou, Zainab Ali Bu Sinnah, Yaser Yasin, Nawras Ali Salman, Asala Salam Jaber, Adnan Hashim Abdulkadhim, Mohsin O. AL-Khafaji, Navid Nasajpour-Esfahani, Mahzyar Marashi, Ali Golzar, Davood Toghraie
Summary: This study numerically investigated the thermal performance of Cu-water nanofluid flow within an enhanced tube with W-and C-shaped ribs in heat exchangers. The effects of volume fraction and diameter of copper nanoparticles and the type and size of turbulators on heat transfer were discussed. The results showed that the W-shaped model had different performance characteristics compared to the C-shaped model.
CASE STUDIES IN THERMAL ENGINEERING
(2023)
Article
Multidisciplinary Sciences
Shifu Xu, Seyed Mahdi Shavarani, Mazyar Ghadiri Nejad, Bela Vizvari, Davood Toghraie
Summary: The assembly line balancing problem (ALBP) is a challenging topic in mass production systems with low diversity. Two types of ALBPs are discussed in the literature: type I aims to minimize the number of workstations for a given cycle time, while type II minimizes the maximum workstation load. Various methods have been proposed to solve ALBPs, but their efficiency decreases for large-size problems. This study presents a novel exact method based on lexicographic order to solve ALBP type II, which outperforms existing methods in terms of finding the best global solution for the given test problems.
Article
Engineering, Multidisciplinary
Nemat Ebrahimi, Hossein Ahmadi Danesh Ashtiani, Davood Toghraie
Summary: The mixed convection of nanofluid within an inclined trapezoidal cavity in the presence of a magnetic field was explored using the lattice Boltzmann method. The study found that increasing the Rayleigh number and decreasing the Richardson number improves heat transfer. Increasing the volume fraction of nanoparticles leads to a higher average Nusselt number. However, increasing the Hartmann number reduces heat transfer. Altering the cavity's slope and the magnetic field's angle also has an effect on the flow and heat transfer. Applying a magnetic field has a more pronounced impact on heat conduction.
ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS
(2023)
Article
Engineering, Multidisciplinary
Navid Habibollahi, Ali Abdollahi, S. Mohammad Sajadi, Davood Toghraie, Sobhan Emami, Mustafa Inc
Summary: This study investigated the combustion process of ethanol-coated Al hydride nanoparticles using molecular dynamics simulation. The addition of ethanol coating resulted in changes in temperature and potential energy, which are important for understanding and optimizing the combustion process.
ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS
(2023)
Article
Automation & Control Systems
Qiang Gao, Alaa Hamza Omran, Yasamin Baghersad, Omid Mohammadi, Mohammed Ayad Alkhafaji, Abdul Kareem J. Al-Azzawi, Sara Hakem Al-Khafaji, Nafiseh Emami, D. Toghraie, Mohammad Javad Golkar
Summary: Epilepsy is a CNS disorder that causes seizures and loss of consciousness. The accurate diagnosis of this condition can save lives. This study proposes a multi-step algorithm using a pattern recognition network to analyze EEG signals and diagnose epilepsy with 92.5% accuracy. The method effectively processes the signals and removes noise.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Engineering, Chemical
Ahmad F. Turki, Omar S. Mahdy, Nidal H. Abu-Hamdeh, Dheyaa J. Jasim, Ahmad H. Milyani, Hamed Kazemi-Varnamkhasti, As 'ad Alizadeh, Navid Nasajpour-Esfahani, D. Toghraie
Summary: In this study, the performance of a thermal energy-storing system with NanoEncapsulated Phase Change Materials (NEPCMs) was simulated using Computational Fluid Dynamics (CFD). The results showed that adding NEPCMs improved heat transfer by 12.5% and resulted in uniform heat transfer through the cold walls.
JOURNAL OF THE TAIWAN INSTITUTE OF CHEMICAL ENGINEERS
(2023)
Article
Engineering, Mechanical
Hossein Hatami, Rouhollah Tavallaee, Morteza Sarbaz Karajabad, Davood Toghraie
Summary: The effective use of fluid to optimize processes and innovations is made possible by the development of knowledge management in dynamic viscosity. Professionals in various industries can take advantage of the potential of dynamic viscosity for optimal performance by collecting, organizing, sharing, and applying knowledge.
TRIBOLOGY INTERNATIONAL
(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)
