Expanded Outcomes Framework for Effective CME - The Way Forward for Pakistan von Vakani, Farhan, Amin, Almas

Volltext

Continuing medical education and pharmaceutical industry von Vakani, Farhan Saeed, Jafri, Wasim, Amin, Almas, Sheerani, Mughis

Volltext

How does self-efficacy affect performance of learner? von Vakani, Farhan, Sheerani, Mughis, Afzal, Azam, Amin, Almas

Volltext

Content audit of drug advertisements in Pakistan von Vakani, Farhan, Naqv, Kashif, Amin, Almas

Volltext

Criteria for awarding CME credits to health physicians von Vakani, Farhan Saeed, Wasim Jafri, S M, Amin, Almas, Sheerani, Mughis

Volltext

A New Approach for Brain Tumor Segmentation and Classification Based on Score Level Fusion Using Transfer Learning von Amin, Javeria, Sharif, Muhammad, Yasmin, Mussarat, Saba, Tanzila, Anjum, Muhammad Almas, Fernandes, Steven Lawrence

Volltext

Fused information of DeepLabv3+ and transfer learning model for semantic segmentation and rich features selection using equilibrium optimizer (EO) for classification of NPDR lesion... von Amin, Javaria, Anjum, Muhammad Almas, Malik, Muhammad

Volltext

Brain tumor detection using statistical and machine learning method von Amin, Javaria, Sharif, Muhammad, Raza, Mudassar, Saba, Tanzila, Anjum, Muhammad Almas

Volltext

Brain Tumor Detection by Using Stacked Autoencoders in Deep Learning von Amin, Javaria, Sharif, Muhammad, Gul, Nadia, Raza, Mudassar, Anjum, Muhammad Almas, Nisar, Muhammad Wasif, Bukhari, Syed Ahmad Chan

Volltext

Grifolin, neogrifolin and confluentin from the terricolous polypore Albatrellus flettii suppress KRAS expression in human colon cancer cells von Yaqoob, Almas, Li, Wai Ming, Liu, Victor, Wang, Chuyi, Mackedenski, Sebastian, Tackaberry, Linda E, Massicotte, Hugues B, Egger, Keith N, Reimer, Kerry, Lee, Chow H

Volltext

Integrated design of deep features fusion for localization and classification of skin cancer von Amin, Javeria, Sharif, Abida, Gul, Nadia, Anjum, Muhammad Almas, Nisar, Muhammad Wasif, Azam, Faisal, Bukhari, Syed Ahmad Chan

Volltext

A New Model for Brain Tumor Detection Using Ensemble Transfer Learning and Quantum Variational Classifier von Amin, Javeria, Anjum, Muhammad Almas, Sharif, Muhammad, Jabeen, Saima, Kadry, Seifedine, Moreno Ger, Pablo

Volltext

Microscopic segmentation and classification of COVID‐19 infection with ensemble convolutional neural network von Amin, Javeria, Anjum, Muhammad Almas, Sharif, Muhammad, Rehman, Amjad, Saba, Tanzila, Zahra, Rida

Volltext

An intelligence design for detection and classification of COVID19 using fusion of classical and convolutional neural network and improved microscopic features selection approach von Amin, Javaria, Anjum, Muhammad Almas, Sharif, Muhammad, Saba, Tanzila, Tariq, Usman

Volltext

Brain tumor detection based on extreme learning von Sharif, Muhammad, Amin, Javaria, Raza, Mudassar, Anjum, Muhammad Almas, Afzal, Humaira, Shad, Shafqat Ali

Volltext

A secure two-qubit quantum model for segmentation and classification of brain tumor using MRI images based on blockchain von Amin, Javaria, Anjum, Muhammad Almas, Gul, Nadia, Sharif, Muhammad

Volltext

Functional Nickel Oxide Nanostructures for Ethanol Oxidation in Alkaline Media von Amin, Sidra, Tahira, Aneela, Solangi, Amber R., Mazzaro, Raffaello, Ibupoto, Zafar Hussain, Fatima, Almas, Vomiero, Alberto

Volltext

An integrated framework for COVID‐19 classification based on classical and quantum transfer learning from a chest radiograph von Umer, Muhammad Junaid, Amin, Javeria, Sharif, Muhammad, Anjum, Muhammad Almas, Azam, Faisal, Shah, Jamal Hussain

Volltext

Deep Semantic Segmentation and Multi-Class Skin Lesion Classification based on Convolutional Neural Network von Anjum, Muhammad Almas, Amin, Javaria, Sharif, Muhammad, Khan, Habib Ullah, Malik, Sheraz Arshad, Kadry, Seifedine

Volltext

Localization model and rank-based features selection approach for the classification of GGO and consolidation stages of COVID-19 von Amin, Javaria, Almas Anjum, Muhammad, Gul, Nadia, Imran Sharif, Muhammad, Irfan Sharif, Muhammad, Kadry, Seifedine

Volltext