9 citations · 27 across the 6 of their papers we have counts for
6 papers
Federated Learning in Healthcare: Model Misconducts, Security, Challenges, Applications, and Future Research Directions -- A Systematic Review
Md Shahin Ali, Md Manjurul Ahsan, Lamia Tasnim +7
Data privacy has become a major concern in healthcare due to the increasing digitization of medical records and data-driven medical research. Protecting sensitive patient informati…
Case Studies on X-Ray Imaging, MRI and Nuclear Imaging
Shuvra Sarker, Angona Biswas, MD Abdullah Al Nasim +3
The field of medical imaging is an essential aspect of the medical sciences, involving various forms of radiation to capture images of the internal tissues and organs of the body.…
Active Learning on Medical Image
Angona Biswas, MD Abdullah Al Nasim, Md Shahin Ali +3
The development of medical science greatly depends on the increased utilization of machine learning algorithms. By incorporating machine learning, the medical imaging field can sig…
Few Shot Learning for Medical Imaging: A Comparative Analysis of Methodologies and Formal Mathematical Framework
Jannatul Nayem, Sayed Sahriar Hasan, Noshin Amina +4
Deep learning becomes an elevated context regarding disposing of many machine learning tasks and has shown a breakthrough upliftment to extract features from unstructured data. Tho…
Transfer learning and Local interpretable model agnostic based visual approach in Monkeypox Disease Detection and Classification: A Deep Learning insights
Md Manjurul Ahsan, Tareque Abu Abdullah, Md Shahin Ali +4
The recent development of Monkeypox disease among various nations poses a global pandemic threat when the world is still fighting Coronavirus Disease-2019 (COVID-19). At its dawn,…
Imbalanced Class Data Performance Evaluation and Improvement using Novel Generative Adversarial Network-based Approach: SSG and GBO
Md Manjurul Ahsan, Md Shahin Ali, Zahed Siddique
Class imbalance in a dataset is one of the major challenges that can significantly impact the performance of machine learning models resulting in biased predictions. Numerous techn…