49 citations · 152 across the 13 of their papers we have counts for
7 papers · 1 filter
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…
BON: An extended public domain dataset for human activity recognition
Girmaw Abebe Tadesse, Oliver Bent, Komminist Weldemariam +3
Body-worn first-person vision (FPV) camera enables to extract a rich source of information on the environment from the subject's viewpoint. However, the research progress in wearab…
SegCodeNet: Color-Coded Segmentation Masks for Activity Detection from Wearable Cameras
Asif Shahriyar Sushmit, Partho Ghosh, Md. Abrar Istiak +3
Activity detection from first-person videos (FPV) captured using a wearable camera is an active research field with potential applications in many sectors, including healthcare, la…
Privacy-Aware Activity Classification from First Person Office Videos
Partho Ghosh, Md. Abrar Istiak, Nayeeb Rashid +5
In the advent of wearable body-cameras, human activity classification from First-Person Videos (FPV) has become a topic of increasing importance for various applications, including…
X-Ray Image Compression Using Convolutional Recurrent Neural Networks
Asif Shahriyar Sushmit, Shakib Uz Zaman, Ahmed Imtiaz Humayun +2
In the advent of a digital health revolution, vast amounts of clinical data are being generated, stored and processed on a daily basis. This has made the storage and retrieval of l…
Learning Front-end Filter-bank Parameters using Convolutional Neural Networks for Abnormal Heart Sound Detection
Ahmed Imtiaz Humayun, Shabnam Ghaffarzadegan, Zhe Feng +1
Automatic heart sound abnormality detection can play a vital role in the early diagnosis of heart diseases, particularly in low-resource settings. The state-of-the-art algorithms f…
An Ensemble of Transfer, Semi-supervised and Supervised Learning Methods for Pathological Heart Sound Classification
Ahmed Imtiaz Humayun, Md. Tauhiduzzaman Khan, Shabnam Ghaffarzadegan +2
In this work, we propose an ensemble of classifiers to distinguish between various degrees of abnormalities of the heart using Phonocardiogram (PCG) signals acquired using digital…