Joas I. Mulder’s scientific contributions

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Publications (1)


A tournament of transformation models: B-Spline-based vs. mesh-based multi-objective deformable image registration
  • Conference Paper

April 2024

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6 Reads

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1 Citation

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Joas I. Mulder

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Tanja Alderliesten

Citations (1)


... The refined deformation field ϕ * STN is obtained by combining the predicted deformation field (ϕ) from U-Net with the local spatial transformations predicted by STN as in Equation 7. The combined deformation field (ϕ * STN ) captures both global and local deformations in the input images, leading to improved registration accuracy. Various optimization algorithms can be employed to solve the DIR problem, including gradient descent-based methods, genetic algorithms, and finite element methods [42], [43]. These algorithms iteratively update the deformation field (ϕ) until convergence to the optimal solution. ...

Reference:

H-UDMIR: A Hybrid Unsupervised Deep Learning Framework for Deformable Medical Image Registration
A tournament of transformation models: B-Spline-based vs. mesh-based multi-objective deformable image registration
  • Citing Conference Paper
  • April 2024