Henkjan J. Huisman

According to our database, Henkjan J. Huisman authored at least 52 papers between 2003 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Dean C. Barratt, Victor Adrian Prisacariu, Yipeng Hu

Medical Image Anal., December, 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, Herman J. A. Zandvoort, Kirsti Lammert, Helka Parviainen, Aino-Maija Vuorinen, Suvi Syväranta, Ruben R. M. Vogels, Wiesje Prins, Andrea Coppola, Nancy Bossa, Richard P. G. ten Broek, Henkjan Huisman

J. Imaging, 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

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

Matin Hosseinzadeh, Anindo Saha, Joeran Bosma, Henkjan Huisman

CoRR, 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

Reproducibility of Training Deep Learning Models for Medical Image Analysis.

Joeran Bosma, Dre Peeters, Natália Alves, Anindo Saha, Zaigham Saghir, Colin Jacobs, Henkjan Huisman

Proceedings of the Medical Imaging with Deep Learning, 2023

2022

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

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

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

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

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

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

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

Cine-MRI detection of abdominal adhesions with spatio-temporal deep learning.

Bram De Wilde, Richard P. G. ten Broek, 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, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Bram van Ginneken, Michel Bilello, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Stephan Heckers, Henkjan J. Huisman, William R. Jarnagin, Maureen McHugo, Sandy Napel, Jennifer Goli-Pernicka, Kawal S. Rhode, Catalina Tobon-Gomez, Eugene Vorontsov, James A. Meakin, Sébastien Ourselin, Manuel Wiesenfarth, Pablo Arbeláez, Byeonguk Bae, Sihong Chen, Laura Alexandra Daza, Jianjiang Feng, Baochun He, Fabian Isensee, Yuanfeng Ji, Fucang Jia, Namkug Kim, Ildoo Kim, Dorit Merhof, Akshay Pai, BeomHee Park, Mathias Perslev, Ramin Rezaiifar, Oliver Rippel, Ignacio Sarasua, Wei Shen, Jaemin Son, Christian Wachinger, Liansheng Wang, Yan Wang, Yingda Xia, Daguang Xu, Zhanwei Xu, Yefeng Zheng, Amber L. Simpson, Lena Maier-Hein, M. Jorge Cardoso

CoRR, 2021

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

2020

Encoding Clinical Priori in 3D Convolutional Neural Networks for Prostate Cancer Detection in bpMRI.

Anindo Saha, Matin Hosseinzadeh, Henkjan J. Huisman

CoRR, 2020

False Positive Reduction Using Multiscale Contextual Features for Prostate Cancer Detection in Multi-Parametric MRI Scans.

Xin Yu, Bin Lou, Bibo Shi, David J. Winkel, Nacim Arrahmane, Mamadou Diallo, Tongbai Meng, Heinrich von Busch, Robert Grimm, Berthold Kiefer, Dorin Comaniciu, Ali Kamen, Henkjan J. Huisman, Andrew Rosenkrantz, Tobias Penzkofer, Ivan Shabunin, Moon Hyung Choi, Qingsong Yang, Dieter Szolar

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Supervised Uncertainty Quantification for Segmentation with Multiple Annotations.

Shi Hu, Daniel E. Worrall, Stefan Knegt, Bas Veeling, Henkjan J. Huisman, Max Welling

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

Autoencoders for Multi-Label Prostate MR Segmentation.

Ard de Gelder, Henkjan J. Huisman

CoRR, 2018

Automatic segmentation of prostate zones.

Germonda Mooij, Ines Bagulho, Henkjan J. Huisman

CoRR, 2018

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017

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

2015

Statistical Power in Image Segmentation: Relating Sample Size to Reference Standard Quality.

Eli Gibson, Henkjan J. Huisman, Dean C. Barratt

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

2014

Computer-Aided Detection of Prostate Cancer in MRI.

Geert Litjens, Oscar Debats, Jelle O. Barentsz, Nico Karssemeijer, Henkjan J. Huisman

IEEE Trans. Medical Imaging, 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

Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge.

Geert Litjens, 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, Yangming Ou, Christos Davatzikos, Matthias Kirschner, Florian Jung, Jing Yuan, Wu Qiu, Qinquan Gao, Philip J. Edwards, Bianca Maan, Ferdinand van der Heijden, Soumya Ghose, Jhimli Mitra, Jason Dowling, Dean C. Barratt, Henkjan J. Huisman, Anant Madabhushi

Medical Image Anal., 2014

Distinguishing benign confounding treatment changes from residual prostate cancer on MRI following laser ablation.

Geert Litjens, Henkjan J. Huisman, R. Elliott, Natalie Shih, Michael D. Feldman, Satish Viswanath, Jurgen J. Fütterer, J. Bomers, Anant Madabhushi

Proceedings of the Medical Imaging 2014: Image-Guided Procedures, 2014

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

Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014

2013

Chest wall segmentation in automated 3D breast ultrasound scans.

Tao Tan, Bram Platel, Ritse Mann, Henkjan J. Huisman, Nico Karssemeijer

Medical Image Anal., 2013

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

Proceedings of the Medical Imaging 2013: Image-Guided Procedures, 2013

2012

Computer-Aided Lesion Diagnosis in Automated 3-D Breast Ultrasound Using Coronal Spiculation.

Tao Tan, Bram Platel, Henkjan J. Huisman, Clara I. Sánchez, Roel Mus, Nico Karssemeijer

IEEE Trans. Medical Imaging, 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

A Pattern Recognition Approach to Zonal Segmentation of the Prostate on MRI.

Geert Litjens, Oscar Debats, Wendy J. M. van de Ven, Nico Karssemeijer, Henkjan J. Huisman

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 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

Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 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

Proceedings of the Breast Imaging, 2012

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

Proceedings of the Breast Imaging, 2012

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

Proceedings of the Prostate Cancer Imaging. Image Analysis and Image-Guided Interventions, 2011

Classification of breast lesions in automated 3D breast ultrasound.

Tao Tan, Henkjan J. Huisman, Bram Platel, André Grivegnée, Roel Mus, Nico Karssemeijer

Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

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

Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

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, Thomas Hambrock, Jelle O. Barentsz

Proceedings of the Prostate Cancer Imaging. 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

Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010

Breast MRI intensity non-uniformity correction using mean-shift.

Aliaksei Makarau, Henkjan J. Huisman, Roel Mus, Miranda Zijp, Nico Karssemeijer

Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010

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

Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 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

Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

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

Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

2008

Combining T2-weighted with dynamic MR images for computerized classification of prostate lesions.

Pieter C. Vos, Thomas Hambrock, Jelle O. Barentsz, Henkjan J. Huisman

Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008

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

Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007

Chestwall Segmentation in 3D Breast Ultrasound Using a Deformable Volume Model.

Henkjan J. Huisman, Nico Karssemeijer

Proceedings of the Information Processing in Medical Imaging, 2007

2006

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

2003

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

Proceedings of the Biomedical Image Registration, Second International Workshop, 2003