6 citations · 19 across the 7 of their papers we have counts for
7 papers
Explainable AI in Orthopedics: Challenges, Opportunities, and Prospects
Soheyla Amirian, Luke A. Carlson, Matthew F. Gong +4
While artificial intelligence (AI) has made many successful applications in various domains, its adoption in healthcare lags a little bit behind other high-stakes settings. Several…
Learning Unbiased Image Segmentation: A Case Study with Plain Knee Radiographs
Nickolas Littlefield, Johannes F. Plate, Kurt R. Weiss +12
Automatic segmentation of knee bony anatomy is essential in orthopedics, and it has been around for several years in both pre-operative and post-operative settings. While deep lear…
Word Embedding Neural Networks to Advance Knee Osteoarthritis Research
Soheyla Amirian, Husam Ghazaleh, Mehdi Assefi +4
Osteoarthritis (OA) is the most prevalent chronic joint disease worldwide, where knee OA takes more than 80% of commonly affected joints. Knee OA is not a curable disease yet, and…
Give me a knee radiograph, I will tell you where the knee joint area is: a deep convolutional neural network adventure
Shi Yan, Taghi Ramazanian, Elham Sagheb +5
Knee pain is undoubtedly the most common musculoskeletal symptom that impairs quality of life, confines mobility and functionality across all ages. Knee pain is clinically evaluate…
Unsupervised Machine Learning for the Discovery of Latent Disease Clusters and Patient Subgroups Using Electronic Health Records
Yanshan Wang, Yiqing Zhao, Terry M. Therneau +6
Machine learning has become ubiquitous and a key technology on mining electronic health records (EHRs) for facilitating clinical research and practice. Unsupervised machine learnin…
siftservice.com - Turning a Computer Vision algorithm into a World Wide Web Service
Ahmad Pahlavan Tafti, Hamid Hassannia, Zeyun Yu
Image features detection and description is a longstanding topic in computer vision and pattern recognition areas. The Scale Invariant Feature Transform (SIFT) is probably the most…