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cs.CV2025★ 1 cited
Strategies for Robust Deep Learning Based Deformable Registration
Joel Honkamaa, Pekka Marttinen
Deep learning based deformable registration methods have become popular in recent years. However, their ability to generalize beyond training data distribution can be poor, signifi…
cs.CV2025
New multimodal similarity measure for image registration via modeling local functional dependence with linear combination of learned basis functions
Joel Honkamaa, Pekka Marttinen
The deformable registration of images of different modalities, essential in many medical imaging applications, remains challenging. The main challenge is developing a robust measur…
cs.CV2023
SITReg: Multi-resolution architecture for symmetric, inverse consistent, and topology preserving image registration
Joel Honkamaa, Pekka Marttinen
Deep learning has emerged as a strong alternative for classical iterative methods for deformable medical image registration, where the goal is to find a mapping between the coordin…