57 citations · 108 across the 26 of their papers we have counts for
8 papers · 1 filter
Edge-preserving Domain Adaptation for semantic segmentation of Medical Images
Thong Vo, Naimul Khan
Domain Adaptation is a technique to address the lack of massive amounts of labeled data in unseen environments. Unsupervised domain adaptation is proposed to adapt a model to new m…
Interactive segmentation using U-Net with weight map and dynamic user interactions
Ragavie Pirabaharan, Naimul Khan
Interactive segmentation has recently attracted attention for specialized tasks where expert input is required to further enhance the segmentation performance. In this work, we pro…
Online unsupervised Learning for domain shift in COVID-19 CT scan datasets
Nicolas Ewen, Naimul Khan
Neural networks often require large amounts of expert annotated data to train. When changes are made in the process of medical imaging, trained networks may not perform as well, an…
ECG Heart-beat Classification Using Multimodal Image Fusion
Zeeshan Ahmad, Anika Tabassum, Naimul Khan +1
In this paper, we present a novel Image Fusion Model (IFM) for ECG heart-beat classification to overcome the weaknesses of existing machine learning techniques that rely either on…
Inertial Sensor Data To Image Encoding For Human Action Recognition
Zeeshan Ahmad, Naimul Khan
Convolutional Neural Networks (CNNs) are successful deep learning models in the field of computer vision. To get the maximum advantage of CNN model for Human Action Recognition (HA…
An interpretable object detection based model for the diagnosis of neonatal lung diseases using Ultrasound images
Rodina Bassiouny, Adel Mohamed, Karthi Umapathy +1
Over the last few decades, Lung Ultrasound (LUS) has been increasingly used to diagnose and monitor different lung diseases in neonates. It is a non invasive tool that allows a fas…