M.H.F. Savenije

1.4k citations

20 papers · 587 indexed · h-index 10

Radiology, Nuclear Medicine and Imaging top 5%
Radiation top 2%
Biomedical Engineering
Pulmonary and Respiratory Medicine
Computer Vision and Pattern Recognition top 10%

Co-authors: Cornelis A. T. van den Berg Matteo Maspero Enrica Seravalli Anna M. Dinkla Peter R. Seevinck M.E.P. Philippens Jochem R.N. van der Voort van Zyp Joost J.C. Verhoeff
Topics: Advanced Radiotherapy Techniques (13 papers)Medical Imaging Techniques and Applications (11 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)
Cited by: Radiation Health Informatics Radiology, Nuclear Medicine and Imaging
Journals: International Journal of Radiation Oncology*Biology*Physics Magnetic Resonance in Medicine Physics in Medicine and Biology
Partner nations: Netherlands Germany Sweden

In The Last Decade

M.H.F. Savenije

17 papers receiving 575 citations

Peers

Countries citing papers authored by M.H.F. Savenije

Since Specialization

Citations

This map shows the geographic impact of M.H.F. Savenije's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by M.H.F. Savenije with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.H.F. Savenije more than expected).

Fields of papers citing papers by M.H.F. Savenije

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.H.F. Savenije. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by M.H.F. Savenije. The network helps show where M.H.F. Savenije may publish in the future.

Co-authorship network of co-authors of M.H.F. Savenije

This figure shows the co-authorship network connecting the top 25 collaborators of M.H.F. Savenije. A scholar is included among the top collaborators of M.H.F. Savenije based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M.H.F. Savenije. M.H.F. Savenije is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	SynthRAD2025 Grand Challenge dataset: Generating synthetic CTs for radiotherapy from head to abdomen 2025 ·Medical Physics ·Adrian Thummerer,(unknown),(unknown),Florian Kamp,M.H.F. Savenije,Christina T. Muijs,Shafak Aluwini,R.J.H.M. Steenbakkers,(unknown),Martijn Intven,Johannes A. Langendijk,Stefan Both,Stefanie Corradini,(unknown),(unknown),Niklas Wahl,Christopher Kurz,Guillaume Landry,Matteo Maspero	1
2	Comparable Performance Between Automatic and Manual Laryngeal and Hypopharyngeal Gross Tumor Volume Delineations Validated With Pathology 2025 ·International Journal of Radiation OncologyBiologyPhysics ·(unknown),(unknown),Patricia Doornaert,(unknown),M.H.F. Savenije,Ernst J. Smid,Chris H.J. Terhaard,(unknown),Mischa de Ridder,M.E.P. Philippens	0
3	Automatic segmentation for magnetic resonance imaging guided individual elective lymph node irradiation in head and neck cancer patients 2024 ·Physics and Imaging in Radiation Oncology ·(unknown),M.H.F. Savenije,Mischa de Ridder,Matteo Maspero,Patricia Doornaert,Chris H.J. Terhaard,Cornelis P.J. Raaijmakers,Kaveh Zakeri,Nancy Y. Lee,Eric Aliotta,(unknown),(unknown),M.E.P. Philippens	2
4	Deep learning for automated contouring of neurovascular structures on magnetic resonance imaging for prostate cancer patients 2023 ·Physics and Imaging in Radiation Oncology ·Ingeborg Berg,M.H.F. Savenije,(unknown),(unknown),(unknown),Harm H.E. van Melick,Wyger Brink,Johannes C.J. de Boer,Cornelis A. T. van den Berg,Jochem R.N. van der Voort van Zyp	8
5	Clinical utility of convolutional neural networks for treatment planning in radiotherapy for spinal metastases 2022 ·Physics and Imaging in Radiation Oncology ·(unknown),M.H.F. Savenije,Wietse S.C. Eppinga,Joanne M. van der Velden,Cornelis A. T. van den Berg,Joost J.C. Verhoeff	9
6	Clinical implementation of MRI-based organs-at-risk auto-segmentation with convolutional networks for prostate radiotherapy 2020 ·Radiation Oncology ·M.H.F. Savenije,Matteo Maspero,G.G. Sikkes,Jochem R.N. van der Voort van Zyp,A.N.T.J. Kotte,Gijsbert H. Bol,Cornelis A. T. van den Berg	71
7	Deep learning-based synthetic CT generation for paediatric brain MR-only photon and proton radiotherapy 2020 ·Radiotherapy and Oncology ·Matteo Maspero,(unknown),M.H.F. Savenije,Filipa Guerreiro,Enrica Seravalli,Geert O. Janssens,Cornelis A. T. van den Berg,M.E.P. Philippens	74
8	PD-0310: CBCT-to-CT synthesis with a single neural network for head-and-neck, lung and breast radiotherapy 2020 ·Radiotherapy and Oncology ·Matteo Maspero,A.C. Houweling,M.H.F. Savenije,(unknown),(unknown),A.N.T.J. Kotte,Cornelis A. T. van den Berg	3
9	Deep learning‐based reconstruction of in vivo pelvis conductivity with a 3D patch‐based convolutional neural network trained on simulated MR data 2020 ·Magnetic Resonance in Medicine ·(unknown),Cornelis A. T. van den Berg,M.H.F. Savenije,H. Petra Kok,Peter de Boer,Lukas J.A. Stalpers,J J W Lagendijk,Johannes Crezee,Astrid L.H.M.W. van Lier	30
10	CBCT correction using a cycle-consistent generative adversarial network and unpaired training to enable photon and proton dose calculation 2019 ·Physics in Medicine and Biology ·Christopher Kurz,Matteo Maspero,M.H.F. Savenije,Guillaume Landry,Florian Kamp,Marco Pinto,Minglun Li,Katia Parodi,Claus Belka,Cornelis A. T. van den Berg	99
11	EP-2017 GANs covert CBCT to CT for head-neck, lung and breast: paired vs unpaired; single-site vs generic 2019 ·Radiotherapy and Oncology ·Matteo Maspero,M.H.F. Savenije,(unknown),A.N.T.J. Kotte,A.C. Houweling,(unknown),Peter R. Seevinck,Cornelis A. T. van den Berg	0
12	A deep learning method for image‐based subject‐specific local SAR assessment 2019 ·Magnetic Resonance in Medicine ·(unknown),Alexander Raaijmakers,Alessandro Sbrizzi,(unknown),Matteo Maspero,M.H.F. Savenije,Peter R. Luijten,Cornelis A. T. van den Berg	33
13	Dosimetric evaluation of synthetic CT for head and neck radiotherapy generated by a patch‐based three‐dimensional convolutional neural network 2019 ·Medical Physics ·Anna M. Dinkla,Mateusz C. Florkow,Matteo Maspero,M.H.F. Savenije,Frank Zijlstra,Patricia Doornaert,Marijn van Stralen,M.E.P. Philippens,Cornelis A. T. van den Berg,Peter R. Seevinck	78
14	Fast contour propagation for MR‐guided prostate radiotherapy using convolutional neural networks 2019 ·Medical Physics ·Koen A. J. Eppenhof,Matteo Maspero,M.H.F. Savenije,Johannes C.J. de Boer,Jochem R.N. van der Voort van Zyp,Bas W. Raaymakers,Alexander Raaijmakers,Mitko Veta,Cornelis A. T. van den Berg,Josien P. W. Pluim	36
15	MR-Only Brain Radiation Therapy: Dosimetric Evaluation of Synthetic CTs Generated by a Dilated Convolutional Neural Network 2018 ·International Journal of Radiation OncologyBiologyPhysics ·Anna M. Dinkla,Jelmer M. Wolterink,Matteo Maspero,M.H.F. Savenije,Joost J.C. Verhoeff,Enrica Seravalli,Ivana Išgum,Peter R. Seevinck,Cornelis A. T. van den Berg	110
16	OC-0293: Dosimetric evaluation of deep learning based synthetic-CT generation for MR-only brain radiotherapy 2018 ·Radiotherapy and Oncology ·Anna M. Dinkla,Jelmer M. Wolterink,Matteo Maspero,M.H.F. Savenije,(unknown),Ivana Išgum,Peter R. Seevinck,J.J.W. Lagendijk,Cornelis A. T. van den Berg	0
17	Fast synthetic CT generation with deep learning for general pelvis MR-only Radiotherapy. 2018 ·Matteo Maspero,M.H.F. Savenije,Anna M. Dinkla,Peter R. Seevinck,Martijn Intven,Ina M. Jürgenliemk‐Schulz,Linda G.W. Kerkmeijer,Cornelis A. T. van den Berg	5
18	[OA127] Cone-beam CT intensity correction for adaptive radiotherapy of the prostate using deep learning 2018 ·Physica Medica ·Christopher Kurz,David C. Hansen,M.H.F. Savenije,Guillaume Landry,Matteo Maspero,Florian Kamp,Katia Parodi,Claus Belka,(unknown)	5
19	OC-0294: MR-based synthetic CT with conditional Generative Adversarial Network for prostate RT planning 2018 ·Radiotherapy and Oncology ·M.H.F. Savenije,Matteo Maspero,Anna M. Dinkla,Peter R. Seevinck,Cornelis A. T. van den Berg	1
20	A Fast Partitioning Algorithm and a Comparison of Binary Feedforward Neural Networks 1992 ·Europhysics Letters (EPL) ·(unknown),G. T. Barkema,(unknown),M.H.F. Savenije,A. Taal	22

About M.H.F. Savenije

M.H.F. Savenije is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Otorhinolaryngology, having authored 20 papers that have together received 587 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (13 papers), Medical Imaging Techniques and Applications (11 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). The work is most often cited by research in Radiation (329 citations), Health Informatics (31 citations) and Radiology, Nuclear Medicine and Imaging (459 citations). M.H.F. Savenije has collaborated with scholars based in Netherlands, Germany and Sweden. Frequent co-authors include Cornelis A. T. van den Berg, Matteo Maspero, Enrica Seravalli, Anna M. Dinkla, Peter R. Seevinck, M.E.P. Philippens, Jochem R.N. van der Voort van Zyp, Joost J.C. Verhoeff, Jelmer M. Wolterink and Ivana Išgum. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Magnetic Resonance in Medicine and Physics in Medicine and Biology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact