49 citations · 80 across the 7 of their papers we have counts for
7 papers
Domain Generalization for Improved Human Activity Recognition in Office Space Videos Using Adaptive Pre-processing
Partho Ghosh, Raisa Bentay Hossain, Mohammad Zunaed +1
Automatic video activity recognition is crucial across numerous domains like surveillance, healthcare, and robotics. However, recognizing human activities from video data becomes c…
Improving Pediatric Pneumonia Diagnosis with Adult Chest X-ray Images Utilizing Contrastive Learning and Embedding Similarity
Mohammad Zunaed, Anwarul Hasan, Taufiq Hasan
Despite the advancement of deep learning-based computer-aided diagnosis (CAD) methods for pneumonia from adult chest x-ray (CXR) images, the performance of CAD methods applied to p…
Learning to Generalize towards Unseen Domains via a Content-Aware Style Invariant Model for Disease Detection from Chest X-rays
Mohammad Zunaed, Md. Aynal Haque, Taufiq Hasan
Performance degradation due to distribution discrepancy is a longstanding challenge in intelligent imaging, particularly for chest X-rays (CXRs). Recent studies have demonstrated t…
A Novel Hierarchical-Classification-Block Based Convolutional Neural Network for Source Camera Model Identification
Mohammad Zunaed, Shaikh Anowarul Fattah
Digital security has been an active area of research interest due to the rapid adaptation of internet infrastructure, the increasing popularity of social media, and digital cameras…
ThoraX-PriorNet: A Novel Attention-Based Architecture Using Anatomical Prior Probability Maps for Thoracic Disease Classification
Md. Iqbal Hossain, Mohammad Zunaed, Md. Kawsar Ahmed +3
Objective: Computer-aided disease diagnosis and prognosis based on medical images is a rapidly emerging field. Many Convolutional Neural Network (CNN) architectures have been devel…
Anatomy-XNet: An Anatomy Aware Convolutional Neural Network for Thoracic Disease Classification in Chest X-rays
Uday Kamal, Mohammad Zunaed, Nusrat Binta Nizam +1
Thoracic disease detection from chest radiographs using deep learning methods has been an active area of research in the last decade. Most previous methods attempt to focus on the…
Dual-CyCon Net: A Cycle Consistent Dual-Domain Convolutional Neural Network Framework for Detection of Partial Discharge
Mohammad Zunaed, Ankur Nath, Md. Saifur Rahman
In the last decade, researchers have been investigating the severity of insulation breakdown caused by partial discharge (PD) in overhead transmission lines with covered conductors…