Henkjan Huisman

Henkjan Huisman

Radboud Universiteit

H-index: 52

Europe-Netherlands

Contact Henkjan Huisman

About Henkjan Huisman

Henkjan Huisman, With an exceptional h-index of 52 and a recent h-index of 35 (since 2020), a distinguished researcher at Radboud Universiteit, specializes in the field of Artificial intelligence, Pelvic/Abdominal Cancer, MRI/Ultrasound.

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

Survivorship data in Prostate Cancer: Where are we and where do we need to be?

Using deep learning to optimize the prostate MRI protocol by assessing the diagnostic efficacy of MRI sequences

Federated learning for prostate cancer detection in biparametric MRI: optimization of rounds, epochs, and aggregation strategy

Deformable MRI Sequence Registration for AI-based Prostate Cancer Diagnosis

Best Practices for Artificial Intelligence and Machine Learning for Computer-Aided Diagnosis in Medical Imaging

Automated Quantitative Analysis of CT Perfusion to Classify Vascular Phenotypes of Pancreatic Ductal Adenocarcinoma

Reproducibility of Training Deep Learning Models for Medical Image Analysis

Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing

Henkjan Huisman Information

University	Radboud Universiteit
Position	Associate Professor, Radboud University Medical Centre Nijmegen
Citations(all)	11983
Citations(since 2020)	4761
Cited By	8590
hIndex(all)	52
hIndex(since 2020)	35
i10Index(all)	107
i10Index(since 2020)	76
Email	Access Email
University Profile Page	Radboud Universiteit
Google Scholar	View Google Scholar Profile

Henkjan Huisman Skills & Research Interests

Artificial intelligence

Pelvic/Abdominal Cancer

MRI/Ultrasound

Top articles of Henkjan Huisman

Survivorship data in Prostate Cancer: Where are we and where do we need to be?

European Urology Open Science

2024/1/1

Beth Russell

H-Index: 3

Sebastiaan Remmers

H-Index: 6

Steven Maclennan

H-Index: 23

Muhammad Imran Omar

H-Index: 19

Robert Shepherd

H-Index: 10

Tom Abbott

H-Index: 25

Lisa Moris

H-Index: 12

Thomas Van Den Broeck

H-Index: 23

Nicola Fossati

H-Index: 39

Neo Tapela

H-Index: 16

Ayman Hijazy

H-Index: 1

Kai Sun

H-Index: 10

Doron Lancet

H-Index: 44

Christian Thomas

H-Index: 10

Henkjan Huisman

H-Index: 30

Thomas Hofmarcher

H-Index: 6

Xuewei Wang

H-Index: 12

Samiul Haque

H-Index: 4

Paul Robinson

H-Index: 11

Sarah Payne

H-Index: 23

Using deep learning to optimize the prostate MRI protocol by assessing the diagnostic efficacy of MRI sequences

European Journal of Radiology

2024/4/16

Henkjan Huisman

H-Index: 30

Federated learning for prostate cancer detection in biparametric MRI: optimization of rounds, epochs, and aggregation strategy

2024/4/3

Ashkan Moradi

H-Index: 1

Henkjan Huisman

H-Index: 30

Mattijs Elschot

H-Index: 16

Deformable MRI Sequence Registration for AI-based Prostate Cancer Diagnosis

2024/2/13

Henkjan Huisman

H-Index: 30

Best Practices for Artificial Intelligence and Machine Learning for Computer-Aided Diagnosis in Medical Imaging

Journal of the American College of Radiology

2024/2/1

Lubomir Hadjiiski

H-Index: 37

Karen Drukker

H-Index: 23

Automated Quantitative Analysis of CT Perfusion to Classify Vascular Phenotypes of Pancreatic Ductal Adenocarcinoma

Cancers

2024/1/30

Natália Alves

H-Index: 1

Henkjan Huisman

H-Index: 30

Reproducibility of Training Deep Learning Models for Medical Image Analysis

2024/1/23

Colin Jacobs

H-Index: 6

Henkjan Huisman

H-Index: 30

Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing

2024/1/1

Usman Mahmood

H-Index: 2

Heang-Ping Chan

H-Index: 40

Karen Drukker

H-Index: 23

Quan Chen

H-Index: 22

Hayit Greenspan

H-Index: 39

Daniele Regge

H-Index: 30

Kenji Suzuki

H-Index: 36

Lia Morra

H-Index: 10

Henkjan Huisman

H-Index: 30

Lubomir Hadjiiski

H-Index: 37

A concurrent, deep learning–based computer-aided detection system for prostate multiparametric MRI: a performance study involving experienced and less-experienced radiologists

European Radiology

2023/1

Henkjan Huisman

H-Index: 30

Tobias Penzkofer

H-Index: 18

David J Winkel

H-Index: 5

Robert Grimm

H-Index: 3

Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registration

Medical Image Analysis

2023/12/1

Yiwen Li

H-Index: 0

Qianye Yang

H-Index: 3

Wen Yan

H-Index: 0

Yipei Wang

H-Index: 10

Mark Emberton

H-Index: 57

Matthew J Clarkson

H-Index: 5

Henkjan Huisman

H-Index: 30

Complexities of deep learning-based undersampled MR image reconstruction

2023/10/4

Henkjan Huisman

H-Index: 30

Prediction variability to identify reduced AI performance in cancer diagnosis at MRI and CT

Radiology

2023/9/19

Natália Alves

H-Index: 1

Colin Jacobs

H-Index: 6

Henkjan Huisman

H-Index: 30

Radiomics based automated quality assessment for T2W prostate MR images

European Journal of Radiology

2023/8/1

Artificial Intelligence in Pancreatic Ductal Adenocarcinoma Imaging: A Commentary on Potential Future Applications

Gastroenterology

2023/8/1

Natália Alves

H-Index: 1

Henkjan Huisman

H-Index: 30

Geert Litjens

H-Index: 11

Semisupervised Learning with Report-guided Pseudo Labels for Deep Learning–based Prostate Cancer Detection Using Biparametric MRI

Radiology: Artificial Intelligence

2023/7/26

Matin Hosseinzadeh

H-Index: 6

Henkjan Huisman

H-Index: 30

Uncertainty-Aware Semi-Supervised Learning for Prostate MRI Zonal Segmentation

arXiv preprint arXiv:2305.05984

2023/5/10

Matin Hosseinzadeh

H-Index: 6

Henkjan Huisman

H-Index: 30

Quantifiable Measures of Abdominal Wall Motion for Quality Assessment of Cine-MRI Slices in Detection of Abdominal Adhesions

Journal of Imaging

2023/4/30

Bram De Wilde

H-Index: 13

Wulphert Venderink

H-Index: 8

Artificial Intelligence and Radiologists at Prostate Cancer Detection in MRI—The PI-CAI Challenge

2023/4/28

Bram Van Ginneken

H-Index: 71

Mattijs Elschot

H-Index: 16

How well do polygenic risk scores identify men at high risk for prostate cancer? Systematic review and meta-analysis

2023/4/1

Medical diffusion on a budget: textual inversion for medical image generation

arXiv preprint arXiv:2303.13430

2023/3/23

Bram De Wilde

H-Index: 13

Henkjan Huisman

H-Index: 30

See List of Professors in Henkjan Huisman University(Radboud Universiteit)

Co-Authors

H-index: 76

Nico Karssemeijer — Nico Karssemeijer
Radboud Universiteit

Visit Nico Karssemeijer Page

H-index: 54

Tom Scheenen — Tom Scheenen
Radboud Universiteit

Visit Tom Scheenen Page

H-index: 52

Geert Litjens — Geert Litjens
Radboud Universiteit

Visit Geert Litjens Page

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