2 citations · 2 across the 6 of their papers we have counts for
6 papers
Machine Unlearning for Class Removal through SISA-based Deep Neural Network Architectures
Ishrak Hamim Mahi, Siam Ferdous, Md Sakib Sadman Badhon +4
The rapid proliferation of image generation models and other artificial intelligence (AI) systems has intensified concerns regarding data privacy and user consent. As the availabil…
Histo-MExNet: A Unified Framework for Real-World, Cross-Magnification, and Trustworthy Breast Cancer Histopathology
Enam Ahmed Taufika, Md Ahasanul Arafatha, Abhijit Kumar Ghoshb +2
Accurate and reliable histopathological image classification is essential for breast cancer diagnosis. However, many deep learning models remain sensitive to magnification variabil…
Colorectal Cancer Histopathological Grading using Multi-Scale Federated Learning
Md Ahasanul Arafath, Abhijit Kumar Ghosh, Md Rony Ahmed +5
Colorectal cancer (CRC) grading is a critical prognostic factor but remains hampered by inter-observer variability and the privacy constraints of multi-institutional data sharing.…
Med-IC: Fusing a Single Layer Involution with Convolutions for Enhanced Medical Image Classification and Segmentation
Md. Farhadul Islam, Sarah Zabeen, Meem Arafat Manab +7
The majority of medical images, especially those that resemble cells, have similar characteristics. These images, which occur in a variety of shapes, often show abnormalities in th…
Explainable Deepfake Video Detection using Convolutional Neural Network and CapsuleNet
Gazi Hasin Ishrak, Zalish Mahmud, MD. Zami Al Zunaed Farabe +3
Deepfake technology, derived from deep learning, seamlessly inserts individuals into digital media, irrespective of their actual participation. Its foundation lies in machine learn…
Spatially Optimized Compact Deep Metric Learning Model for Similarity Search
Md. Farhadul Islam, Md. Tanzim Reza, Meem Arafat Manab +3
Spatial optimization is often overlooked in many computer vision tasks. Filters should be able to recognize the features of an object regardless of where it is in the image. Simila…