Semi-automatic Image Registration of MRI to CT Data of the Prostate Using Gold Markers as Fiducials. - J. A. van Dalen; Henkjan J. Huisman; A. Welmers; Jelle O. Barentsz (WBIR, 2003)

Volumetric breast density estimation from full-field digital mammograms. - Saskia van Engeland; Peter R. Snoeren; Henkjan J. Huisman; Carla Boetes; Nico Karssemeijer (IEEE Trans. Medical Imaging, 2006)

Chestwall Segmentation in 3D Breast Ultrasound Using a Deformable Volume Model. - Henkjan J. Huisman; Nico Karssemeijer (IPMI, 2007)

Effect of calibration on computerized analysis of prostate lesions using quantitative dynamic contrast-enhanced magnetic resonance imaging. - Pieter C. Vos; Thomas Hambrock; Jurgen J. Fütterer; Christina A. Hulsbergen van de Kaa; Jelle O. Barentsz; Henkjan J. Huisman (Computer-Aided Diagnosis, 2007)

Combining T2-weighted with dynamic MR images for computerized classification of prostate lesions. - Pieter C. Vos; Thomas Hambrock; Jelle O. Barentsz; Henkjan J. Huisman (Computer-Aided Diagnosis, 2008)

Integrating Biological Knowledge, Novel Imaging Modalities, and Modeling in Breast Cancer Diagnosis. - Nico Karssemeijer; Henkjan J. Huisman; David J. Hawkes; John H. Hipwell; Tobias Böhler; Jan M. Lesniak; Christine Tanner; Gábor Székely; Wiro J. Niessen; Horst K. Hahn (ISBI, 2009)

Segmentation of 3D Cardiac Ultrasound Images Using Correlation of Radio Frequency Data. - Maartje M. Nillesen; Richard G. P. Lopata; Inge H. Gerrits; Henkjan J. Huisman; Johan M. Thijssen; Livia Kapusta; Chris L. de Korte (ISBI, 2009)

3D Cardiac Segmentation Using Temporal Correlation of Radio Frequency Ultrasound Data. - Maartje M. Nillesen; Richard G. P. Lopata; Henkjan J. Huisman; Johan M. Thijssen; Livia Kapusta; Chris L. de Korte (MICCAI (1), 2009)

Automated Calibration for Computerized Analysis of Prostate Lesions Using Pharmacokinetic Magnetic Resonance Images. - Pieter C. Vos; Thomas Hambrock; Jelle O. Barentsz; Henkjan J. Huisman (MICCAI (1), 2009)

Automated classification of lymph nodes in USPIO-enhanced MR-images: a comparison of three segmentation methods. - Oscar A. Debats; Nico Karssemeijer; Jelle O. Barentsz; Henkjan J. Huisman (Computer-Aided Diagnosis, 2010)

Breast MRI intensity non-uniformity correction using mean-shift. - Aliaksei Makarau; Henkjan J. Huisman; Roel Mus; Miranda Zijp; Nico Karssemeijer (Computer-Aided Diagnosis, 2010)

Automated segmentation of reference tissue for prostate cancer localization in dynamic contrast enhanced MRI. - Pieter C. Vos; Thomas Hambrock; Jelle O. Barentsz; Henkjan J. Huisman (Computer-Aided Diagnosis, 2010)

Computer Aided Detection of Prostate Cancer Using T2, DWI and DCE MRI: Methods and Clinical Applications. - Henkjan J. Huisman; Pieter C. Vos; Geert Litjens 001; Thomas Hambrock; Jelle O. Barentsz (Prostate Cancer Imaging, 2010)

Automatic computer aided detection of abnormalities in multi-parametric prostate MRI. - Geert J. S. Litjens; Pieter C. Vos; Jelle O. Barentsz; Nico Karssemeijer; Henkjan J. Huisman (Computer-Aided Diagnosis, 2011)

Classification of breast lesions in automated 3D breast ultrasound. - Tao Tan 002; Henkjan J. Huisman; Bram Platel; André Grivegnée; Roel Mus; Nico Karssemeijer (Computer-Aided Diagnosis, 2011)

Required Accuracy of MR-US Registration for Prostate Biopsies. - Wendy J. M. van de Ven; Geert J. S. Litjens; Jelle O. Barentsz; Thomas Hambrock; Henkjan J. Huisman (Prostate Cancer Imaging, 2011)

Multimodal Classification of Breast Masses in Mammography and MRI Using Unimodal Feature Selection and Decision Fusion. - Jan M. Lesniak; Guido van Schie; Christine Tanner; Bram Platel; Henkjan J. Huisman; Nico Karssemeijer; Gábor Székely (Digital Mammography / IWDM, 2012)

Intensity-Based MRI to X-ray Mammography Registration with an Integrated Fast Biomechanical Transformation. - Thomy Mertzanidou; John H. Hipwell; Lianghao Han; Zeike A. Taylor; Henkjan J. Huisman; Ulrich Bick; Nico Karssemeijer; David J. Hawkes (Digital Mammography / IWDM, 2012)

Automated computer-aided detection of prostate cancer in MR images: from a whole-organ to a zone-based approach. - Geert J. S. Litjens; Jelle O. Barentsz; Nico Karssemeijer; Henkjan J. Huisman (Computer-Aided Diagnosis, 2012)

A Pattern Recognition Approach to Zonal Segmentation of the Prostate on MRI. - Geert Litjens 001; Oscar Debats; Wendy J. M. van de Ven; Nico Karssemeijer; Henkjan J. Huisman (MICCAI (2), 2012)

MRI to X-ray mammography registration using a volume-preserving affine transformation. - Thomy Mertzanidou; John H. Hipwell; Manuel Jorge Cardoso; Xiying Zhang; Christine Tanner; Sébastien Ourselin; Ulrich Bick; Henkjan J. Huisman; Nico Karssemeijer; David J. Hawkes (Medical Image Anal., 2012)

Computer-Aided Lesion Diagnosis in Automated 3-D Breast Ultrasound Using Coronal Spiculation. - Tao Tan 002; Bram Platel; Henkjan J. Huisman; Clara I. Sánchez; Roel Mus; Nico Karssemeijer (IEEE Trans. Medical Imaging, 2012)

Surface-based prostate registration with biomechanical regularization. - Wendy J. M. van de Ven; Yipeng Hu; Jelle O. Barentsz; Nico Karssemeijer; Dean C. Barratt; Henkjan J. Huisman (Image-Guided Procedures, 2013)

Chest wall segmentation in automated 3D breast ultrasound scans. - Tao Tan 002; Bram Platel; Ritse Mann; Henkjan J. Huisman; Nico Karssemeijer (Medical Image Anal., 2013)

Distinguishing prostate cancer from benign confounders via a cascaded classifier on multi-parametric MRI. - Geert J. S. Litjens; R. Elliott; Natalie Shih; Michael D. Feldman; Jelle O. Barentsz; Christina A. Hulsbergen van de Kaa; Iringo Kovacs; Henkjan J. Huisman; Anant Madabhushi (Computer-Aided Diagnosis, 2014)

Distinguishing benign confounding treatment changes from residual prostate cancer on MRI following laser ablation. - Geert Litjens 001; Henkjan J. Huisman; R. Elliott; Natalie Shih; Michael D. Feldman; Satish Viswanath; Jurgen J. Fütterer; J. Bomers; Anant Madabhushi (Image-Guided Procedures, 2014)

Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge. - Geert Litjens 001; Robert Toth; Wendy J. M. van de Ven; Caroline Hoeks; Sjoerd Kerkstra; Bram van Ginneken; Graham Vincent; Gwenaël Guillard; Neil Birbeck; Jindang Zhang; Robin Strand; Filip Malmberg; et al. (Medical Image Anal., 2014)

MRI to X-ray mammography intensity-based registration with simultaneous optimisation of pose and biomechanical transformation parameters. - Thomy Mertzanidou; John H. Hipwell; Stian Flage Johnsen; Lianghao Han; Björn Eiben; Zeike A. Taylor; Sébastien Ourselin; Henkjan J. Huisman; Ritse Mann; Ulrich Bick; Nico Karssemeijer; David J. Hawkes (Medical Image Anal., 2014)

Computer-Aided Detection of Prostate Cancer in MRI. - Geert Litjens 001; Oscar Debats; Jelle O. Barentsz; Nico Karssemeijer; Henkjan J. Huisman (IEEE Trans. Medical Imaging, 2014)

The evaluation of multi-structure, multi-atlas pelvic anatomy features in a prostate MR lymphography CAD system. - Midas Meijs; O. Debats; Henkjan Huisman (Computer-Aided Diagnosis, 2015)

Statistical Power in Image Segmentation: Relating Sample Size to Reference Standard Quality. - Eli Gibson; Henkjan J. Huisman; Dean C. Barratt (MICCAI (3), 2015)

Designing image segmentation studies: Statistical power, sample size and reference standard quality. - Eli Gibson; Yipeng Hu; Henkjan J. Huisman; Dean C. Barratt (Medical Image Anal., 2017)

Inter-site Variability in Prostate Segmentation Accuracy Using Deep Learning. - Eli Gibson; Yipeng Hu; Nooshin Ghavami; Hashim Uddin Ahmed; Caroline M. Moore; Mark Emberton; Henkjan J. Huisman; Dean C. Barratt (MICCAI (4), 2018)

Automatic segmentation of prostate zones. - Germonda Mooij; Ines Bagulho; Henkjan J. Huisman (CoRR, 2018)

Autoencoders for Multi-Label Prostate MR Segmentation. - Ard de Gelder; Henkjan J. Huisman (CoRR, 2018)

Supervised Uncertainty Quantification for Segmentation with Multiple Annotations. - Shi Hu; Daniel E. Worrall; Stefan Knegt; Bas Veeling; Henkjan J. Huisman; Max Welling (MICCAI (2), 2019)

False Positive Reduction Using Multiscale Contextual Features for Prostate Cancer Detection in Multi-Parametric MRI Scans. - Xin Yu 010; Bin Lou; Bibo Shi; David J. Winkel; Nacim Arrahmane; Mamadou Diallo; Tongbai Meng; Heinrich von Busch; Robert Grimm 002; Berthold Kiefer; Dorin Comaniciu; Ali Kamen; et al. (ISBI, 2020)

Encoding Clinical Priori in 3D Convolutional Neural Networks for Prostate Cancer Detection in bpMRI. - Anindo Saha; Matin Hosseinzadeh; Henkjan J. Huisman (CoRR, 2020)

End-to-end Prostate Cancer Detection in bpMRI via 3D CNNs: Effect of Attention Mechanisms, Clinical Priori and Decoupled False Positive Reduction. - Anindo Saha; Matin Hosseinzadeh; Henkjan J. Huisman (CoRR, 2021)

The Medical Segmentation Decathlon. - Michela Antonelli; Annika Reinke; Spyridon Bakas; Keyvan Farahani; Annette Kopp-Schneider; Bennett A. Landman; Geert Litjens 001; Bjoern H. Menze; Olaf Ronneberger; Ronald M. Summers; Bram van Ginneken; Michel Bilello; et al. (CoRR, 2021)

Cine-MRI detection of abdominal adhesions with spatio-temporal deep learning. - Bram De Wilde; Richard P. G. ten Broek; Henkjan J. Huisman (CoRR, 2021)

Anatomical and Diagnostic Bayesian Segmentation in Prostate MRI - Should Different Clinical Objectives Mandate Different Loss Functions? - Anindo Saha; Joeran Bosma; Jasper Linmans; Matin Hosseinzadeh; Henkjan J. Huisman (CoRR, 2021)

Fully Automatic Deep Learning Framework for Pancreatic Ductal Adenocarcinoma Detection on Computed Tomography. - Natália Alves; Megan Schuurmans; Geke Litjens; Joeran S. Bosma; John Hermans; Henkjan Huisman (CoRR, 2021)

Report-Guided Automatic Lesion Annotation for Deep Learning-Based Prostate Cancer Detection in bpMRI. - Joeran S. Bosma; Anindo Saha; Matin Hosseinzadeh; Ilse Slootweg; Maarten de Rooij; Henkjan Huisman (CoRR, 2021)

End-to-end prostate cancer detection in bpMRI via 3D CNNs: Effects of attention mechanisms, clinical priori and decoupled false positive reduction. - Anindo Saha; Matin Hosseinzadeh; Henkjan J. Huisman (Medical Image Anal., 2021)

Multi-Modal Siamese Network for Diagnostically Similar Lesion Retrieval in Prostate MRI. - Alberto Rossi; Matin Hosseinzadeh; Monica Bianchini; Franco Scarselli; Henkjan J. Huisman (IEEE Trans. Medical Imaging, 2021)

FEW-SHOT Image Segmentation for Cross-Institution Male Pelvic Organs Using Registration-Assisted Prototypical Learning. - Yiwen Li; Yunguan Fu; Qianye Yang; Zhe Min; Wen Yan; Henkjan J. Huisman; Dean C. Barratt; Victor Adrian Prisacariu; Yipeng Hu (ISBI, 2022)

The PI-CAI Challenge: Public Training and Development Dataset. - Anindo Saha; Jasper J. Twilt; Joeran S. Bosma; Bram van Ginneken; Derya Yakar; Mattijs Elschot; Jeroen Veltman; Jurgen J. Fütterer; Maarten de Rooij; Henkjan Huisman (Zenodo, 2022)

The PI-CAI Challenge: Public Training and Development Dataset. - Anindo Saha; Jasper Jonathan Twilt; Joeran Sander Bosma; Bram van Ginneken; Derya Yakar; Mattijs Elschot; Jeroen Veltman; Jurgen J. Fütterer; Maarten de Rooij; Henkjan Huisman (Zenodo, 2022)

Cross-institution Male Pelvic Structures. - Yiwen Li; Yunguan Fu; Iani J. M. B. Gayo; Qianye Yang; Zhe Min; Shaheer U. Saeed; Wen Yan; Yipei Wang; J. Alison Noble; Mark Emberton; Matthew J. Clarkson; Henkjan Huisman; et al. (Zenodo, 2022)

Reproducibility of Training Deep Learning Models for Medical Image Analysis. - Joeran Bosma; Dre Peeters; Natália Alves; Anindo Saha; Zaigham Saghir; Colin Jacobs; Henkjan Huisman (MIDL, 2023)

Medical diffusion on a budget: textual inversion for medical image generation. - Bram De Wilde; Anindo Saha; Richard P. G. ten Broek; Henkjan Huisman (CoRR, 2023)

Uncertainty-Aware Semi-Supervised Learning for Prostate MRI Zonal Segmentation. - Matin Hosseinzadeh; Anindo Saha; Joeran Bosma; Henkjan Huisman (CoRR, 2023)

Quantifiable Measures of Abdominal Wall Motion for Quality Assessment of Cine-MRI Slices in Detection of Abdominal Adhesions. - Bastiaan A. W. van den Beukel; Bram De Wilde; Frank Joosten; Harry van Goor; Wulphert Venderink; Henkjan J. Huisman; Richard P. G. ten Broek (J. Imaging, 2023)

Inter- and Intra-Observer Variability and the Effect of Experience in Cine-MRI for Adhesion Detection. - Bram De Wilde; Frank Joosten; Wulphert Venderink; Mirjam E. J. Davidse; Juliëtte Geurts; Hanneke Kruijt; Afke Vermeulen; Bibi Martens; Maxime V. P. Schyns; Josephine C. B. M. Huige; Myrte C. de Boer; Bart A. R. Tonino; et al. (J. Imaging, 2023)

The ULS23 Challenge Public Training Dataset. - Max De Grauw; Natália Alves; Megan Schuurmans; Henkjan Huisman; Bram van Ginneken; Alessa Hering (Zenodo, 2023)

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; Wen Yan; Yipei Wang; J. Alison Noble; Mark Emberton; Matthew J. Clarkson; Henkjan Huisman; et al. (Medical Image Anal., 2023)

Medical diffusion on a budget: Textual Inversion for medical image generation. - Bram De Wilde; Anindo Saha; Maarten de Rooij; Henkjan Huisman; Geert Litjens 001 (MIDL, 2024)

Deformable MRI Sequence Registration for AI-Based Prostate Cancer Diagnosis. - Alessa Hering; Sarah de Boer; Anindo Saha; Jasper J. Twilt; Mattias P. Heinrich; Derya Yakar; Maarten de Rooij; Henkjan Huisman; Joeran S. Bosma (WBIR, 2024)

Deformable MRI Sequence Registration for AI-based Prostate Cancer Diagnosis. - Alessa Hering; Sarah de Boer; Anindo Saha; Jasper J. Twilt; Derya Yakar; Maarten de Rooij; Henkjan Huisman; Joeran S. Bosma (CoRR, 2024)

QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge. - Hongwei Bran Li; Fernando Navarro; Ivan Ezhov; Amirhossein Bayat; Dhritiman Das; Florian Kofler; Suprosanna Shit; Diana Waldmannstetter; Johannes C. Paetzold; Xiaobin Hu; Benedikt Wiestler; Lucas Zimmer; et al. (CoRR, 2024)

Deep Learning-based Unsupervised Domain Adaptation via a Unified Model for Prostate Lesion Detection Using Multisite Bi-parametric MRI Datasets. - Hao Li; Han Liu; Heinrich von Busch; Robert Grimm 002; Henkjan Huisman; Angela Tong; David J. Winkel; Tobias Penzkofer; Ivan Shabunin; Moon Hyung Choi; Qingsong Yang; Dieter Szolar; et al. (CoRR, 2024)

The DRAGON benchmark for clinical NLP. - Joeran S. Bosma; Koen Dercksen; Luc Builtjes; Romain André; Christian Roest; Stefan J. Fransen; Constant R. Noordman; Mar Navarro-Padilla; Judith Lefkes; Natália Alves; Max J. J. de Grauw; Leander van Eekelen; et al. (npj Digit. Medicine, 2025)

Latent Diffusion Autoencoders: Toward Efficient and Meaningful Unsupervised Representation Learning in Medical Imaging. - Gabriele Lozupone; Alessandro Bria; Francesco Fontanella; Frederick J. A. Meijer; Claudio De Stefano; Henkjan Huisman (CoRR, 2025)