Maarten Terpstra

About Maarten Terpstra

Maarten Terpstra, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Universiteit Utrecht, specializes in the field of radiotherapy, deep learning, machine learning, MRI-guided radiotherapy, motion.

His recent articles reflect a diverse array of research interests and contributions to the field:

Generating Synthetic Computed Tomography for Radiotherapy: SynthRAD2023 Challenge Report

Real-time MRI-guided radiotherapy with deep learning

Accelerated respiratory‐resolved 4D‐MRI with separable spatio‐temporal neural networks

SynthRAD2023 Challenge design: Synthesizing computed tomography for radiotherapy

Synthesizing computed tomography for radiotherapy: Structured description of the challenge design

⊥-loss: a symmetric loss function for magnetic resonance imaging reconstruction and image registration with deep learning

Real-time 3D motion estimation from undersampled MRI using multi-resolution neural networks

Deep learning-based image reconstruction and motion estimation from undersampled radial k-space for real-time MRI-guided radiotherapy

Maarten Terpstra Information

University

Position

University Medical Center Utrecht

Citations(all)

97

Citations(since 2020)

95

Cited By

4

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Maarten Terpstra Skills & Research Interests

radiotherapy

deep learning

machine learning

MRI-guided radiotherapy

motion

Top articles of Maarten Terpstra

Real-time MRI-guided radiotherapy with deep learning

2023/11/14

Accelerated respiratory‐resolved 4D‐MRI with separable spatio‐temporal neural networks

Medical physics

2023/9

SynthRAD2023 Challenge design: Synthesizing computed tomography for radiotherapy

2023

Synthesizing computed tomography for radiotherapy: Structured description of the challenge design

2023

⊥-loss: a symmetric loss function for magnetic resonance imaging reconstruction and image registration with deep learning

Medical Image Analysis

2022/8/1

Real-time 3D motion estimation from undersampled MRI using multi-resolution neural networks

Medical physics

2021/9/15

Deep learning-based image reconstruction and motion estimation from undersampled radial k-space for real-time MRI-guided radiotherapy

Physics in Medicine & Biology

2020/7/30

Quantitative evaluation of dense skeletons for image compression

Information

2020/5/20

Jieying Wang
Jieying Wang

H-Index: 1

Maarten Terpstra
Maarten Terpstra

H-Index: 1

Reconstructing non-Cartesian acquisitions using dAUTOMAP

2020

See List of Professors in Maarten Terpstra University(Universiteit Utrecht)