57 citations · 89 across the 20 of their papers we have counts for
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A Dynamically Weighted Loss Function for Unsupervised Image Segmentation
Boujemaa Guermazi, Riadh Ksantini, Naimul Khan
Image segmentation is the foundation of several computer vision tasks, where pixel-wise knowledge is a prerequisite for achieving the desired target. Deep learning has shown promis…
Structure Preserving Cycle-GAN for Unsupervised Medical Image Domain Adaptation
Paolo Iacono, Naimul Khan
The presence of domain shift in medical imaging is a common issue, which can greatly impact the performance of segmentation models when dealing with unseen image domains. Adversari…
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…
Targeted Self Supervision for Classification on a Small COVID-19 CT Scan Dataset
Nicolas Ewen, Naimul Khan
Traditionally, convolutional neural networks need large amounts of data labelled by humans to train. Self supervision has been proposed as a method of dealing with small amounts of…
Interpreting Uncertainty in Model Predictions For COVID-19 Diagnosis
Gayathiri Murugamoorthy, Naimul Khan
COVID-19, due to its accelerated spread has brought in the need to use assistive tools for faster diagnosis in addition to typical lab swab testing. Chest X-Rays for COVID cases te…