1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2026
Landmark-free Assessment of Lower-limb Alignment with Implicit Neural Shape Functions from Knee Radiographs
Zhisen Hu, Antti Kemppainen, David Johnson +5
Radiographic assessment of lower-limb alignment (LLA) is important for predicting joint health and surgical outcomes in total knee arthroplasty. Traditional measurement methods are…
eess.IV2025★ 1 cited
The Role of Radiographic Knee Alignment in Total Knee Replacement Outcomes and Opportunities for Artificial Intelligence-Driven Assessment
Zhisen Hu, Dominic Cullen, David S. Johnson +3
Knee osteoarthritis (OA) is one of the most widespread and burdensome health problems [1-4]. Total knee replacement (TKR) may be offered as treatment for end-stage knee OA. Neverth…
cs.CV2025
Deep Learning-based Alignment Measurement in Knee Radiographs
Zhisen Hu, Dominic Cullen, Peter Thompson +5
Radiographic knee alignment (KA) measurement is important for predicting joint health and surgical outcomes after total knee replacement. Traditional methods for KA measurements ar…