Javaria Amin (Javeria Amin)

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 7

Top Topics

Convolutional Neural Network

Plasmodium Falciparum

Clinical Decision Support

Top Venues

PeerJ. Computer science

Journal of personalized medicine

Diagnostics (Basel, Switzerland)

Computational intelligence and neuroscience

This page only lists publications with an associated author ORCID identifier.

Publications

Javaria Amin, Muhammad Almas Anjum, Abraz Ahmad, Muhammad Irfan Sharif, Seifedine Kadry, Jungeun Kim
Microscopic parasite malaria classification using best feature selection based on generalized normal distribution optimization. PeerJ. Computer science 10 (2024)
Javaria Amin, Muhammad Almas Anjum, Abraz Ahmad, Muhammad Irfan Sharif, Seifedine Kadry, Jungeun Kim
Microscopic parasite malaria classification using best feature selection based on generalized normal distribution optimization. PeerJ. Computer science 10 (2024)
Javaria Amin, Muhammad Almas Anjum, Muhammad Sharif, Saima Jabeen, Seifedine Kadry, Pablo Moreno
A New Model for Brain Tumor Detection Using Ensemble Transfer Learning and Quantum Variational Classifier. Computational intelligence and neuroscience 2022 (2022)
Javaria Amin, Muhammad Almas Anjum, Muhammad Sharif, Seifedine Kadry, Ahmed Nadeem, Sheikh F Ahmad
Liver Tumor Localization Based on YOLOv3 and 3D-Semantic Segmentation Using Deep Neural Networks. Diagnostics (Basel, Switzerland) 12 (4) (2022)
Usman Yunus, Javaria Amin, Muhammad Sharif, Mussarat Yasmin, Seifedine Kadry, Sujatha Krishnamoorthy
Recognition of Knee Osteoarthritis (KOA) Using YOLOv2 and Classification Based on Convolutional Neural Network. Life (Basel, Switzerland) 12 (8) (2022)
Natasha Shaukat, Javaria Amin, Muhammad Sharif, Faisal Azam, Seifedine Kadry, Sujatha Krishnamoorthy
Three-Dimensional Semantic Segmentation of Diabetic Retinopathy Lesions and Grading Using Transfer Learning. Journal of personalized medicine 12 (9) (2022)
Muhammad Junaid Umer, Javaria Amin, Muhammad Sharif, Muhammad Almas Anjum, Faisal Azam, Jamal Hussain Shah
An integrated framework for COVID-19 classification based on classical and quantum transfer learning from a chest radiograph. Concurrency and computation : practice & experience (2021)