Henkjan J. Huisman

Publication Activity (10 Years)

Years Active: 2003-2023
Publications (10 Years): 19

Top Topics

Image Segmentation

Prostate Cancer

Statistical Power

Top Venues

Medical Image Anal.

IEEE Trans. Medical Imaging

Publications

Bastiaan A. W. van den Beukel, Bram De Wilde, Frank Joosten, Harry van Goor, Wulphert Venderink, Henkjan J. Huisman, Richard P. G. ten Broek
Quantifiable Measures of Abdominal Wall Motion for Quality Assessment of Cine-MRI Slices in Detection of Abdominal Adhesions. J. Imaging 9 (5) (2023)
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 J. Huisman, Dean C. Barratt, Victor Adrian Prisacariu, Yipeng Hu
Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registration. CoRR (2022)
Yiwen Li, Yunguan Fu, Qianye Yang, Zhe Min, Wen Yan, Henkjan J. Huisman, Dean C. Barratt, Victor Adrian Prisacariu, Yipeng Hu
FEW-SHOT Image Segmentation for Cross-Institution Male Pelvic Organs Using Registration-Assisted Prototypical Learning. ISBI (2022)
Yiwen Li, Yunguan Fu, Qianye Yang, Zhe Min, Wen Yan, Henkjan J. Huisman, Dean C. Barratt, Victor Adrian Prisacariu, Yipeng Hu
Few-shot image segmentation for cross-institution male pelvic organs using registration-assisted prototypical learning. CoRR (2022)
Alberto Rossi, Matin Hosseinzadeh, Monica Bianchini, Franco Scarselli, Henkjan J. Huisman
Multi-Modal Siamese Network for Diagnostically Similar Lesion Retrieval in Prostate MRI. IEEE Trans. Medical Imaging 40 (3) (2021)
Anindo Saha, Joeran Bosma, Jasper Linmans, Matin Hosseinzadeh, Henkjan J. Huisman
Anatomical and Diagnostic Bayesian Segmentation in Prostate MRI - Should Different Clinical Objectives Mandate Different Loss Functions? CoRR (2021)
Anindo Saha, Matin Hosseinzadeh, Henkjan J. Huisman
End-to-end Prostate Cancer Detection in bpMRI via 3D CNNs: Effect of Attention Mechanisms, Clinical Priori and Decoupled False Positive Reduction. CoRR (2021)
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 Arbelaez, 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
The Medical Segmentation Decathlon. CoRR (2021)
Bram De Wilde, Richard P. G. ten Broek, Henkjan J. Huisman
Cine-MRI detection of abdominal adhesions with spatio-temporal deep learning. CoRR (2021)
Anindo Saha, Matin Hosseinzadeh, Henkjan J. Huisman
End-to-end prostate cancer detection in bpMRI via 3D CNNs: Effects of attention mechanisms, clinical priori and decoupled false positive reduction. Medical Image Anal. 73 (2021)
Anindo Saha, Matin Hosseinzadeh, Henkjan J. Huisman
Encoding Clinical Priori in 3D Convolutional Neural Networks for Prostate Cancer Detection in bpMRI. CoRR (2020)
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
False Positive Reduction Using Multiscale Contextual Features for Prostate Cancer Detection in Multi-Parametric MRI Scans. ISBI (2020)
Shi Hu, Daniel E. Worrall, Stefan Knegt, Bas Veeling, Henkjan J. Huisman, Max Welling
Supervised Uncertainty Quantification for Segmentation with Multiple Annotations. MICCAI (2) (2019)
Shi Hu, Daniel E. Worrall, Stefan Knegt, Bastiaan S. Veeling, Henkjan J. Huisman, Max Welling
Supervised Uncertainty Quantification for Segmentation with Multiple Annotations. CoRR (2019)
Ard de Gelder, Henkjan J. Huisman
Autoencoders for Multi-Label Prostate MR Segmentation. CoRR (2018)
Germonda Mooij, Ines Bagulho, Henkjan J. Huisman
Automatic segmentation of prostate zones. CoRR (2018)
Eli Gibson, Yipeng Hu, Nooshin Ghavami, Hashim Uddin Ahmed, Caroline M. Moore, Mark Emberton, Henkjan J. Huisman, Dean C. Barratt
Inter-site Variability in Prostate Segmentation Accuracy Using Deep Learning. MICCAI (4) (2018)
Eli Gibson, Yipeng Hu, Henkjan J. Huisman, Dean C. Barratt
Designing image segmentation studies: Statistical power, sample size and reference standard quality. Medical Image Anal. 42 (2017)
Eli Gibson, Henkjan J. Huisman, Dean C. Barratt
Statistical Power in Image Segmentation: Relating Sample Size to Reference Standard Quality. MICCAI (3) (2015)
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
Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge. Medical Image Anal. 18 (2) (2014)
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
Distinguishing prostate cancer from benign confounders via a cascaded classifier on multi-parametric MRI. Medical Imaging: Computer-Aided Diagnosis (2014)
Geert Litjens, Oscar Debats, Jelle O. Barentsz, Nico Karssemeijer, Henkjan J. Huisman
Computer-Aided Detection of Prostate Cancer in MRI. IEEE Trans. Medical Imaging 33 (5) (2014)
Geert Litjens, Henkjan J. Huisman, R. Elliott, Natalie Shih, Michael D. Feldman, Satish Viswanath, Jurgen J. Fütterer, J. Bomers, Anant Madabhushi
Distinguishing benign confounding treatment changes from residual prostate cancer on MRI following laser ablation. Medical Imaging: Image-Guided Procedures (2014)
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
MRI to X-ray mammography intensity-based registration with simultaneous optimisation of pose and biomechanical transformation parameters. Medical Image Anal. 18 (4) (2014)
Wendy J. M. van de Ven, Yipeng Hu, Jelle O. Barentsz, Nico Karssemeijer, Dean C. Barratt, Henkjan J. Huisman
Surface-based prostate registration with biomechanical regularization. Medical Imaging: Image-Guided Procedures (2013)
Tao Tan, Bram Platel, Ritse Mann, Henkjan J. Huisman, Nico Karssemeijer
Chest wall segmentation in automated 3D breast ultrasound scans. Medical Image Anal. 17 (8) (2013)
Geert Litjens, Oscar Debats, Wendy J. M. van de Ven, Nico Karssemeijer, Henkjan J. Huisman
A Pattern Recognition Approach to Zonal Segmentation of the Prostate on MRI. MICCAI (2) (2012)
Geert J. S. Litjens, Jelle O. Barentsz, Nico Karssemeijer, Henkjan J. Huisman
Automated computer-aided detection of prostate cancer in MR images: from a whole-organ to a zone-based approach. Medical Imaging: Computer-Aided Diagnosis (2012)
Thomy Mertzanidou, John H. Hipwell, Manuel Jorge Cardoso, Xiying Zhang, Christine Tanner, Sébastien Ourselin, Ulrich Bick, Henkjan J. Huisman, Nico Karssemeijer, David J. Hawkes
MRI to X-ray mammography registration using a volume-preserving affine transformation. Medical Image Anal. 16 (5) (2012)
Jan M. Lesniak, Guido van Schie, Christine Tanner, Bram Platel, Henkjan J. Huisman, Nico Karssemeijer, Gábor Székely
Multimodal Classification of Breast Masses in Mammography and MRI Using Unimodal Feature Selection and Decision Fusion. Digital Mammography / IWDM (2012)
Thomy Mertzanidou, John H. Hipwell, Lianghao Han, Zeike A. Taylor, Henkjan J. Huisman, Ulrich Bick, Nico Karssemeijer, David J. Hawkes
Intensity-Based MRI to X-ray Mammography Registration with an Integrated Fast Biomechanical Transformation. Digital Mammography / IWDM (2012)
Tao Tan, Bram Platel, Henkjan J. Huisman, Clara I. Sánchez, Roel Mus, Nico Karssemeijer
Computer-Aided Lesion Diagnosis in Automated 3-D Breast Ultrasound Using Coronal Spiculation. IEEE Trans. Medical Imaging 31 (5) (2012)
Tao Tan, Henkjan J. Huisman, Bram Platel, André Grivegnée, Roel Mus, Nico Karssemeijer
Classification of breast lesions in automated 3D breast ultrasound. Medical Imaging: Computer-Aided Diagnosis (2011)
Geert J. S. Litjens, Pieter C. Vos, Jelle O. Barentsz, Nico Karssemeijer, Henkjan J. Huisman
Automatic computer aided detection of abnormalities in multi-parametric prostate MRI. Medical Imaging: Computer-Aided Diagnosis (2011)
Wendy J. M. van de Ven, Geert J. S. Litjens, Jelle O. Barentsz, Thomas Hambrock, Henkjan J. Huisman
Required Accuracy of MR-US Registration for Prostate Biopsies. Prostate Cancer Imaging (2011)
Pieter C. Vos, Thomas Hambrock, Jelle O. Barentsz, Henkjan J. Huisman
Automated segmentation of reference tissue for prostate cancer localization in dynamic contrast enhanced MRI. Medical Imaging: Computer-Aided Diagnosis (2010)
Oscar A. Debats, Nico Karssemeijer, Jelle O. Barentsz, Henkjan J. Huisman
Automated classification of lymph nodes in USPIO-enhanced MR-images: a comparison of three segmentation methods. Medical Imaging: Computer-Aided Diagnosis (2010)
Aliaksei Makarau, Henkjan J. Huisman, Roel Mus, Miranda Zijp, Nico Karssemeijer
Breast MRI intensity non-uniformity correction using mean-shift. Medical Imaging: Computer-Aided Diagnosis (2010)
Henkjan J. Huisman, Pieter C. Vos, Geert Litjens, Thomas Hambrock, Jelle O. Barentsz
Computer Aided Detection of Prostate Cancer Using T2, DWI and DCE MRI: Methods and Clinical Applications. Prostate Cancer Imaging (2010)
Maartje M. Nillesen, Richard G. P. Lopata, Inge H. Gerrits, Henkjan J. Huisman, Johan M. Thijssen, Livia Kapusta, Chris L. de Korte
Segmentation of 3D Cardiac Ultrasound Images Using Correlation of Radio Frequency Data. ISBI (2009)
Maartje M. Nillesen, Richard G. P. Lopata, Henkjan J. Huisman, Johan M. Thijssen, Livia Kapusta, Chris L. de Korte
3D Cardiac Segmentation Using Temporal Correlation of Radio Frequency Ultrasound Data. MICCAI (1) (2009)
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
Integrating Biological Knowledge, Novel Imaging Modalities, and Modeling in Breast Cancer Diagnosis. ISBI (2009)
Pieter C. Vos, Thomas Hambrock, Jelle O. Barentsz, Henkjan J. Huisman
Automated Calibration for Computerized Analysis of Prostate Lesions Using Pharmacokinetic Magnetic Resonance Images. MICCAI (1) (2009)
Pieter C. Vos, Thomas Hambrock, Jelle O. Barentsz, Henkjan J. Huisman
Combining T2-weighted with dynamic MR images for computerized classification of prostate lesions. Medical Imaging: Computer-Aided Diagnosis (2008)
Henkjan J. Huisman, Nico Karssemeijer
Chestwall Segmentation in 3D Breast Ultrasound Using a Deformable Volume Model. IPMI (2007)
Pieter C. Vos, Thomas Hambrock, Jurgen J. Fütterer, Christina A. Hulsbergen van de Kaa, Jelle O. Barentsz, Henkjan J. Huisman
Effect of calibration on computerized analysis of prostate lesions using quantitative dynamic contrast-enhanced magnetic resonance imaging. Medical Imaging: Computer-Aided Diagnosis (2007)
Saskia van Engeland, Peter R. Snoeren, Henkjan J. Huisman, Carla Boetes, Nico Karssemeijer
Volumetric breast density estimation from full-field digital mammograms. IEEE Trans. Medical Imaging 25 (3) (2006)
J. A. van Dalen, Henkjan J. Huisman, A. Welmers, Jelle O. Barentsz
Semi-automatic Image Registration of MRI to CT Data of the Prostate Using Gold Markers as Fiducials. WBIR (2003)