14 citations · 14 across the 1 of their papers we have counts for
7 papers
Domain-Specific Deep Learning Feature Extractor for Diabetic Foot Ulcer Detection
Reza Basiri, Milos R. Popovic, Shehroz S. Khan
Diabetic Foot Ulcer (DFU) is a condition requiring constant monitoring and evaluations for treatment. DFU patient population is on the rise and will soon outpace the available heal…
Anomaly Detection Approach to Identify Early Cases in a Pandemic using Chest X-rays
Shehroz S. Khan, Faraz Khoshbakhtian, Ahmed Bilal Ashraf
The current COVID-19 pandemic is now getting contained, albeit at the cost of morethan2.3million human lives. A critical phase in any pandemic is the early detection of cases to de…
Spatio-Temporal Adversarial Learning for Detecting Unseen Falls
Shehroz S. Khan, Jacob Nogas, Alex Mihailidis
Fall detection is an important problem from both the health and machine learning perspective. A fall can lead to severe injuries, long term impairments or even death in some cases.…
initKmix -- A Novel Initial Partition Generation Algorithm for Clustering Mixed Data using k-means-based Clustering
Amir Ahmad, Shehroz S. Khan
Mixed datasets consist of both numeric and categorical attributes. Various k-means-based clustering algorithms have been developed for these datasets. Generally, these algorithms u…
Learning to Unlearn: Building Immunity to Dataset Bias in Medical Imaging Studies
Ahmed Ashraf, Shehroz Khan, Nikhil Bhagwat +2
Medical imaging machine learning algorithms are usually evaluated on a single dataset. Although training and testing are performed on different subsets of the dataset, models built…
Survey of state-of-the-art mixed data clustering algorithms
Amir Ahmad, Shehroz S. Khan
Mixed data comprises both numeric and categorical features, and mixed datasets occur frequently in many domains, such as health, finance, and marketing. Clustering is often applied…