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| 1 | A longitudinal prospective study of soluble adhesion molecules in acute stroke显示文摘 | Bitsch A Klene W Murtada L | 1998 | Stroke1998，29，10： | 1 |
| 2 | A longitudinal prospective study of soluble adhesion molecules in acute stroke显示文摘 | Bitsch A Klene W Murtada L | 1998 | Stroke1998，29，10： | 1 |
| 3 | A longitudinal prospective study of soluble adhesion molecules in acute stroke 显示文摘 | Bitsch A Klene W Murtada L | 1998 | Stroke1998，29，10： | 1 |
| 4 | Development of PLGA micro-and nanorods with high capacity of surface ligand conjugation for enhanced targeted delivery显示文摘Particle shape has been recognized as one of the key properties of nanoparticles in biomedical applications including targeted drug delivery.Targeting ability of shape-engineered particles depends largely on targeting ligands conjugated on the particle surface.However,poor capacity for surface ligand conjugation remains a problem in anisotropic nanoparticles made with biodegradable polymers such as PLGA.In this study,we prepared anisotropic PLGA nanoparticles with abundant conjugatable surface functional groups by a film stretching-based fabrication method with poly(ethylene-alt-maleic acid)(PEMA).Scanning electron microscopy images showed that microrods and nanorods were successfully fabricated by the PEMA-based film stretching method.The presence of surface carboxylic acid groups was confirmed by confocal microscopy and zeta potential measurements.Using the improved film-stretching method,the amount of protein conjugated to the surface of nanorods was increased three-fold.Transferrin-conjugated,nanorods fabricated by the improved method exhibited higher binding and internalization than unmodified counterparts.Therefore,the PEMA-based film-stretching system presented in this study would be a promising fabrication method for non-spherical biodegradable polymeric micro-and nanoparticles with high capacity of surface modifications for enhanced targeted delivery. | Jiafu Cao Jin-Seok Choi Murtada A.Oshi Juho Lee Nurhasni Hasan Jihyun Kim Jin-Wook Yoo | 2019 | Asian Journal of Pharmaceutical Sciences2019，14，1： | 1 |
| 5 | Employing laparoscopic surgery for endometriosis显示文摘 | Aeors K Murtada R Centini G | 2014 | Womens Health(Lond Engl)2014，10，4： | 1 |
| 6 | A Longitudinal prospective study of soluble adhesion molecules in acute stroke显示文摘 | Bitsch A Klene W Murtada L | 1998 | Stroke1998，29，： | 1 |
| 7 | Employing laparoseopie surgery for endometriosis 显示文摘 | Afors K Murtada R Centini G | 2014 | Womens Health2014，10，4： | 1 |
| 8 | A longitudinal prospective study of soluble adhesion molecules in acute stroke显示文摘 | Bitsch A Klene W Murtada L | 1998 | Stroke1998，29，10： | 1 |
| 9 | A longitudinal prospective study of soluble adhesion molecules in acute stroke显示文摘 | Bitsch A Klene W Murtada L | 1998 | Stroke1998，29，10： | 1 |
| 10 | A longitudinal prospective study of soluble adhesion molecules in acute stroke显示文摘 | Bitsch A Klene W Murtada L | 1998 | Stroke1998，29，10： | 1 |
| 11 | A longitudinal perspective study of soluble adhesion moleules in acute stroke显示文摘 | Bitsch A Klene W Murtada L | 1998 | Stroke1998，29，： | 1 |
| 12 | Employing laparo- scopic surgery for endometriosis 显示文摘 | Afors K Murtada R Centini G | 2014 | Womens Health (Lond Engl)2014，10，4： | 1 |
| 13 | Employing laparoscopic surgery for endometriosis显示文摘 | Afors K Murtada R Centini G | 2014 | Womens Health(Lond Engl)2014，10，4： | 1 |
| 14 | A longitudinal prospective study of soluble adhesion molecules in acute stroke显示文摘 | Bitsch A Klone W Murtada L | 2002 | Stroke2002，29，10： | 1 |
| 15 | A longitudinal prospective study of soluble adhesion molecules in acute stroke显示文摘 | Bitsch A Klene W Murtada L | 1998 | Stroke1998，29，： | 1 |
| 16 | A longitudinal prospective study of soluble adhesion molecules in acute stroke显示文摘 | Bitsch A Klone W Murtada L | 1998 | Stroke1998，29，10： | 1 |
| 17 | A longitudinal prospective study of soluble adhesion molecules in acute stroke显示文摘 | Bitsch A Klene W Murtada L | 1998 | Stroke1998，29，10： | 1 |
| 18 | Improved Siamese Palmprint Authentication Using Pre-Trained VGG16-Palmprint and Element-Wise Absolute Difference显示文摘Palmprint identification has been conducted over the last two decades in many biometric systems.High-dimensional data with many uncorrelated and duplicated features remains difficult due to several computational complexity issues.This paper presents an interactive authentication approach based on deep learning and feature selection that supports Palmprint authentication.The proposed model has two stages of learning;the first stage is to transfer pre-trained VGG-16 of ImageNet to specific features based on the extraction model.The second stage involves the VGG-16 Palmprint feature extraction in the Siamese network to learn Palmprint similarity.The proposed model achieves robust and reliable end-to-end Palmprint authentication by extracting the convolutional features using VGG-16 Palmprint and the similarity of two input Palmprint using the Siamese network.The second stage uses the CASIA dataset to train and test the Siamese network.The suggested model outperforms comparable studies based on the deep learning approach achieving accuracy and EER of 91.8%and 0.082%,respectively,on the CASIA left-hand images and accuracy and EER of 91.7%and 0.084,respectively,on the CASIA right-hand images. | Mohamed Ezz Waad Alanazi Ayman Mohamed Mostafa Eslam Hamouda Murtada K.Elbashir Meshrif Alruily | 2023 | Computer Systems Science & Engineering2023，46，8： | 0 |
| 19 | A Transfer Learning Approach Based on Ultrasound Images for Liver Cancer Detection显示文摘The convolutional neural network(CNN)is one of the main algorithms that is applied to deep transfer learning for classifying two essential types of liver lesions;Hemangioma and hepatocellular carcinoma(HCC).Ultrasound images,which are commonly available and have low cost and low risk compared to computerized tomography(CT)scan images,will be used as input for the model.A total of 350 ultrasound images belonging to 59 patients are used.The number of images with HCC is 202 and 148,respectively.These images were collected from ultrasound cases.info(28 Hemangiomas patients and 11 HCC patients),the department of radiology,the University of Washington(7 HCC patients),the Atlas of ultrasound Germany(3 HCC patients),and Radiopedia and others(10 HCC patients).The ultrasound images are divided into 225,52,and 73 for training,validation,and testing.A data augmentation technique is used to enhance the validation performance.We proposed an approach based on ensembles of the best-selected deep transfer models from the on-the-shelf models:VGG16,VGG19,DenseNet,Inception,InceptionResNet,ResNet,and EfficientNet.After tuning both the feature extraction and the classification layers,the best models are selected.Validation accuracy is used for model tuning and selection.The accuracy,sensitivity,specificity and AUROC are used to evaluate the performance.The experiments are concluded in five stages.The first stage aims to evaluate the base model performance by training the on-the-shelf models.The best accu-racy obtained in the first stage is 83.5%.In the second stage,we augmented the data and retrained the on-the-shelf models with the augmented data.The best accuracy we obtained in the second stage was 86.3%.In the third stage,we tuned the feature extraction layers of the on-the-shelf models.The best accuracy obtained in the third stage is 89%.In the fourth stage,we fine-tuned the classification layer and obtained an accuracy of 93%as the best accuracy.In the fifth stage,we applied the ensemble approach using the best three-performing models and obtained an accuracy,specificity,sensitivity,and AUROC of 94%,93.7%,95.1%,and 0.944,respectively. | Murtada K.Elbashir Alshimaa Mahmoud Ayman Mohamed Mostafa Eslam Hamouda Meshrif Alruily Sadeem M.Alotaibi Hosameldeen Shabana Mohamed Ezz | 2023 | Computers, Materials & Continua2023，，6： | 0 |
| 20 | Innovative Hetero-Associative Memory Encoder(HAMTE)for Palmprint Template Protection显示文摘Many types of research focus on utilizing Palmprint recognition in user identification and authentication.The Palmprint is one of biometric authentication(something you are)invariable during a person’s life and needs careful protection during enrollment into different biometric authentication systems.Accuracy and irreversibility are critical requirements for securing the Palmprint template during enrollment and verification.This paper proposes an innovative HAMTE neural network model that contains Hetero-Associative Memory for Palmprint template translation and projection using matrix multiplication and dot product multiplication.A HAMTE-Siamese network is constructed,which accepts two Palmprint templates and predicts whether these two templates belong to the same user or different users.The HAMTE is generated for each user during the enrollment phase,which is responsible for generating a secure template for the enrolled user.The proposed network secures the person’s Palmprint template by translating it into an irreversible template(different features space).It can be stored safely in a trusted/untrusted third-party authentication system that protects the original person’s template from being stolen.Experimental results are conducted on the CASIA database,where the proposed network achieved accuracy close to the original accuracy for the unprotected Palmprint templates.The recognition accuracy deviated by around 3%,and the equal error rate(EER)by approximately 0.02 compared to the original data,with appropriate performance(approximately 13 ms)while preserving the irreversibility property of the secure template.Moreover,the brute-force attack has been analyzed under the new Palmprint protection scheme. | Eslam Hamouda Mohamed Ezz Ayman Mohamed Mostafa Murtada K.Elbashir Meshrif Alruily Mayada Tarek | 2023 | Computer Systems Science & Engineering2023，46，7： | 0 |
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