Henkjan Huisman

11.6k citations

124 papers · 6.5k indexed · 3 hit papers · h-index 41

Radiology, Nuclear Medicine and Imaging top 0.1%
- Radiomics and Machine Learning in Medical Imaging 64
- MRI in cancer diagnosis 41
- Advanced MRI Techniques and Applications 13
Pulmonary and Respiratory Medicine top 0.2%
- Prostate Cancer Diagnosis and Treatment 73
- Prostate Cancer Treatment and Research 32
Health Informatics top 1%
Rheumatology top 1%
Radiation top 2%
Computer Vision and Pattern Recognition
- Medical Image Segmentation Techniques 19
Artificial Intelligence
- AI in cancer detection 16
Biomedical Engineering
- Medical Imaging and Analysis 12

Co-authors: Jelle O. Barentsz J. Alfred Witjes Thomas Hambrock Jurgen J. Fütterer Christina A. Hulsbergen‐van de Kaa Tom W. J. Scheenen Inge M. van Oort Pieter Vos
Cited by: Radiology, Nuclear Medicine and Imaging Pulmonary and Respiratory Medicine Health Informatics
Partner nations: Netherlands United States United Kingdom

In The Last Decade

Henkjan Huisman

119 papers receiving 6.5k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

2014 Computer-Aided Detection of Prostate Cancer in MRI
2011 Relationship between Apparent Diffusion Coefficients at 3.0-T MR Imaging and Gleason Grade in Peripheral Zone Prostate Cancer
2011 Prostate Cancer: Multiparametric MR Imaging for Detection, Localization, and Staging

Peers

Countries citing papers authored by Henkjan Huisman

Since Specialization

Citations

This map shows the geographic impact of Henkjan Huisman'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 Henkjan Huisman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Henkjan Huisman more than expected).

Fields of papers citing papers by Henkjan Huisman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Henkjan Huisman. 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 Henkjan Huisman. The network helps show where Henkjan Huisman may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Henkjan Huisman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Henkjan Huisman Line = papers co-authored together Henkjan Huisman links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Deep learning reconstruction for prostate MRI: Impact of field-of-view selection on global and regional image quality Quintin van Lohuizen,Stefan J. Fransen,George Yiasemis,Christian Roest,Frank F.J. Simonis,Thomas C. Kwee,Derya Yakar,Henkjan Huisman	2025	1
2	External validation of automated prostate MR T2-weighted image quality assessment on multi-centre multi-vendor data Linda C.P. Thijssen,Maarten de Rooij,Henkjan Huisman	2025	2
3	Requirements for AI Development and Reporting for MRI Prostate Cancer Detection in Biopsy-Naive Men: PI-RADS Steering Committee, Version 1.0 Barış Türkbey,Henkjan Huisman,Andriy Fedorov,Katarzyna J. Macura,Daniel Margolis,Valeria Panebianco,Aytekin Oto,Ivo G. Schoots,Mohummad Minhaj Siddiqui,Caroline M. Moore,Olivier Rouvière,Leonardo Kayat Bittencourt,Anwar R. Padhani,Clare M. Tempany,Masoom A. Haider	2025	1
4	Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study Ashkan Moradi,Fadila Zerka,Joeran S. Bosma,Mohammed R. S. Sunoqrot,Bendik Skarre Abrahamsen,Derya Yakar,Jeroen Geerdink,Henkjan Huisman,Tone F. Bathen,Mattijs Elschot	2025	1
5	Prostate MRI and artificial intelligence during active surveillance: should we jump on the bandwagon? Vilma Bozgo,Christian Roest,Inge M. van Oort,Derya Yakar,Henkjan Huisman,Maarten de Rooij	2024	5
6	Deep Learning–based Unsupervised Domain Adaptation via a Unified Model for Prostate Lesion Detection Using Multisite Biparametric MRI Datasets Hao Li,Han Liu,Heinrich von Busch,Robert Grimm,Henkjan Huisman,Angela Tong,David Winkel,Tobias Penzkofer,Ivan Shabunin,Moon Hyung Choi,Qingsong Yang,Dieter Szolar,Steven M. Shea,Fergus V. Coakley,Mukesh G. Harisinghani,İpek Oğuz,Dorin Comaniciu,Ali Kamen,Bin Lou	2024	3
7	Federated learning for prostate cancer detection in biparametric MRI: optimization of rounds, epochs, and aggregation strategy Ashkan Moradi,Fadila Zerka,Joeran Sander Bosma,Derya Yakar,Jeroen Geerdink,Henkjan Huisman,Tone F. Bathen,Mattijs Elschot	2024	1
8	Artificial Intelligence in Pancreatic Ductal Adenocarcinoma Imaging: A Commentary on Potential Future Applications Megan Schuurmans,Natália Alves,Pierpaolo Vendittelli,Henkjan Huisman,John J. Hermans,Geert Litjens,David K. Chang,Caroline S. Verbeke,Núria Malats,Matthias Löhr	2023	10
9	Quantifiable Measures of Abdominal Wall Motion for Quality Assessment of Cine-MRI Slices in Detection of Abdominal Adhesions B A W van den Beukel,Bram de Wilde,F.B.M. Joosten,Harry van Goor,Wulphert Venderink,Henkjan Huisman,Richard P. G. ten Broek	2023	0
10	Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registration Yiwen Li,Yunguan Fu,Iani J. M. B. Gayo,Qianye Yang,Zhe Min,Shaheer U. Saeed,Yan Wen,Yipei Wang,J. Alison Noble,Mark Emberton,Matthew J. Clarkson,Henkjan Huisman,Dean C. Barratt,Victor Adrian Prisacariu,Yipeng Hu	2023	14
11	Semisupervised Learning with Report-guided Pseudo Labels for Deep Learning–based Prostate Cancer Detection Using Biparametric MRI Joeran S. Bosma,Anindo Saha,Matin Hosseinzadeh,Ilse Slootweg,Maarten de Rooij,Henkjan Huisman	2023	31
12	Prediction Variability to Identify Reduced AI Performance in Cancer Diagnosis at MRI and CT Natália Alves,Joeran S. Bosma,Kiran Vaidhya Venkadesh,Colin Jacobs,Zaigham Saghir,Maarten de Rooij,John J. Hermans,Henkjan Huisman	2023	8
13	Complexities of deep learning-based undersampled MR image reconstruction Constant R. Noordman,Derya Yakar,Joeran S. Bosma,Frank Frederikus Jacobus Simonis,Henkjan Huisman	2023	6
14	Quantitative CT perfusion imaging in patients with pancreatic cancer: a systematic review T. H. Perik,Evelien A. J. van Genugten,Erik H.J.G. Aarntzen,Ewoud J. Smit,Henkjan Huisman,John J. Hermans	2021	13
15	Retrospective comparison of direct in-bore magnetic resonance imaging (MRI)-guided biopsy and fusion-guided biopsy in patients with MRI lesions which are likely or highly likely to be clinically significant prostate cancer Wulphert Venderink,Marloes van der Leest,Annemarijke van Luijtelaar,Wendy J. M. van de Ven,Jurgen J. Fütterer,J.P. Michiel Sedelaar,Henkjan Huisman	2017	38
16	MRI to X-ray mammography intensity-based registration with simultaneous optimisation of pose and biomechanical transformation parameters Thomy Mertzanidou,John H. Hipwell,Stian Johnsen,Lianghao Han,Björn Eiben,Zeike A. Taylor,Sébastien Ourselin,Henkjan Huisman,Ritse M. Mann,Ulrich Bick,Nico Karssemeijer,David Hawkes	2014	24
17	A pattern recognition approach to zonal segmentation of the prostate on MRI Geert Litjens,Oscar A. Debats,Wendy van de Ven,Nico Karssemeijer,Henkjan Huisman	2012	21
18	Prostate Cancer Imaging. Image Analysis and Image-Guided Interventions: International Workshop, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 2011, Proceedings Anant Madabhushi,Jason Dowling,Henkjan Huisman,Dean C. Barratt	2011	2
19	Thirty-Two-Channel Coil 3T Magnetic Resonance-Guided Biopsies of Prostate Tumor Suspicious Regions Identified on Multimodality 3T Magnetic Resonance Imaging: Technique and Feasibility Thomas Hambrock,Jurgen J. Fütterer,Henkjan Huisman,Christina A. Hulsbergen‐vandeKaa,Jean‐Paul van Basten,Inge M. van Oort,J. Alfred Witjes,Jelle O. Barentsz	2008	83
20	Standardized Threshold Approach Using Three-Dimensional Proton Magnetic Resonance Spectroscopic Imaging in Prostate Cancer Localization of the Entire Prostate Jurgen J. F tterer,Tom W. J. Scheenen,Stijn W. T. P. J. Heijmink,Henkjan Huisman,Christina A. Hulsbergen‐van de Kaa,J. Alfred Witjes,Arend Heerschap,Jelle O. Barentsz	2007	64

About Henkjan Huisman

Henkjan Huisman is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition, having authored 124 papers that have together received 6.5k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (73 papers), Radiomics and Machine Learning in Medical Imaging (64 papers), MRI in cancer diagnosis (41 papers), Prostate Cancer Treatment and Research (32 papers), Medical Image Segmentation Techniques (19 papers), AI in cancer detection (16 papers), Advanced MRI Techniques and Applications (13 papers) and Medical Imaging and Analysis (12 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (4.4k citations), Pulmonary and Respiratory Medicine (4.6k citations) and Health Informatics (110 citations). Henkjan Huisman has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Jelle O. Barentsz, J. Alfred Witjes, Thomas Hambrock, Jurgen J. Fütterer, Christina A. Hulsbergen‐van de Kaa, Tom W. J. Scheenen, Inge M. van Oort, Pieter Vos, Geert Litjens and Diederik M. Somford.

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