F. Heijden

发表

Worked out Examples

Robert P. W. Duin, David M. J. Tax, D. de Ridder, 2005 .

Metrology in the 3 rd Millennium June 22 − 27 , 2003 , Dubrovnik , Croatia A REFLECTION MODEL FOR ULTRASONIC TOF MEASUREMENTS FOR INDOOR APPLICATIONS

P. Regtien, F. Heijden, G. Tuquerres, 2005 .

Towards automated visual flexible endoscope navigation

I. Broeders, F. Heijden, N. V. D. Stap, 2013, Surgical Endoscopy.

A New Accurate 3D Measurement Tool to Assess the Range of Motion of the Tongue in Oral Cancer Patients: A Standardized Model

F. Heijden, I. Jacobi, A. Balm, 2016, Dysphagia.

Concomitant speed-of-sound tomography in photoacoustic imaging

C. Slump, F. Heijden, T. G. Leeuwen, 2007 .

Classification, Parameter Estimation and State Estimation: An Engineering Approach Using MATLAB, 2nd Edition

Bangjun Lei, Ferdinand van der Heijden, David M. J. Tax, 2017 .

Performance Study of Different Medical Images Based on Morphology in Noisy Environment

F. Heijden, L. Spreeuwers, 2013 .

Model Based Object Recognition using Stereo Vision andGeometric

F. Heijden, HashingH, .. A. L. V. Dijck, 1996 .

Validation of low-cost smartphone-based thermal camera for diabetic foot assessment

F. Heijden, J. J. Netten, J. Baal, 2021 .

Feature Extraction and Selection

Robert P. W. Duin, David M. J. Tax, F. van der Heijden, 2005 .

Appendix D: Discrete‐Time Dynamic Systems

Robert P. W. Duin, David M. J. Tax, D. de Ridder, 2005 .

Detection and Classification

Robert P. W. Duin, David M. J. Tax, F. van der Heijden, 2005 .

Appendix A: Topics Selected from Functional Analysis

Robert P. W. Duin, David M. J. Tax, F. van der Heijden, 2005 .

Appendix F: MATLAB Toolboxes Used

Robert P. W. Duin, David M. J. Tax, F. van der Heijden, 2005 .

State Estimation in Practice

Robert P. W. Duin, David M. J. Tax, F. van der Heijden, 2005 .

Predicting 3D lip movement using facial sEMG: a first step towards estimating functional and aesthetic outcome of oral cancer surgery

F. Heijden, L. Smeele, A. Balm, 2016, Medical & Biological Engineering & Computing.

A Method for the Creation of Normative Paediatric Skull Models: a Pilot Study

F. Heijden, H. Delye, 2014 .

In vivo intraoperative hypoglossal nerve stimulation for quantitative tongue motion analysis

Ferdinand van der Heijden, Merijn Eskes, Maarten J. A. van Alphen, 2017, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

Simulation of facial expressions using person-specific sEMG signals controlling a biomechanical face model

Ferdinand van der Heijden, Ian Stavness, Merijn Eskes, 2017, International Journal of Computer Assisted Radiology and Surgery.

Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge

Florian Jung, Christos Davatzikos, Dean C. Barratt, 2014, Medical Image Anal..

Efficient adaptive density estimation per image pixel for the task of background subtraction

Ferdinand van der Heijden, Zoran Zivkovic, Z. Zivkovic, 2006, Pattern Recognit. Lett..

Edge and Line Feature Extraction Based on Covariance Models

Ferdinand van der Heijden, F. Heijden, 1995, IEEE Trans. Pattern Anal. Mach. Intell..

Feasibility of automated target centralization in colonoscopy

Ferdi van der Heijden, Nanda van der Stap, I. A. M. J. Broeders, 2015, International Journal of Computer Assisted Radiology and Surgery.

A maximum likelihood method for obtaining integrated attenuation from ultrasound transmission mode measurements

Kees Slump, Srirang Manohar, Ton G. van Leeuwen, 2008 .

On the Development of a Light Dosimetry Planning Tool for Photodynamic Therapy in Arbitrary Shaped Cavities: Initial Results

M. B. Karakullukcu, I. Tan, F. Heijden, 2020, Photochemistry and photobiology.

Numerical optimisation in spot detector design

Luuk J. Spreeuwers, Ferdinand van der Heijden, W. Apperloo, 1997, Pattern Recognit. Lett..

Weed detection in 3D images

F. van der Heijden, A. Piron, M. F. Destain, 2011, Precision Agriculture.

Recursive unsupervised learning of finite mixture models

Ferdinand van der Heijden, Zoran Zivkovic, Z. Zivkovic, 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Aeroplane pose-estimation for DEM generation from video image sequences

Ferdinand van der Heijden, Z. Houkes, C. J. Stolk, 2001 .

Image Processing

Ferdi van der Heijden, Luuk J. Spreeuwers, F. Heijden, 2007, Multimedia Retrieval.

The MIRIAM Robot: A Novel Robotic System for MR-Guided Needle Insertion in the Prostate

Pedro Moreira, Ferdinand van der Heijden, Edsko E.G. Hekman, 2017, J. Medical Robotics Res..

A new prostate segmentation approach using multispectral magnetic resonance imaging and a statistical pattern classifier

Ferdi van der Heijden, Bianca Maan, Jurgen J. Fütterer, 2012, Medical Imaging.

Wearable Navigation Assistance - A Tool for the Blind

Paulus P.L. Regtien, F. van der Heijden, P. Regtien, 2005 .

Measurement Science for Engineers

Paulus P.L. Regtien, Maarten J. Korsten, W. Olthuis, 2004 .

Time-of-flight estimation based on covariance models

P. Regtien, F. Heijden, G. Tuquerres, 2003 .

Acoustic time-of-flight measurements in a reflective room

Ferdinand van der Heijden, Paulus P.L. Regtien, G. Tuquerres, 2003 .

A reflection model for ultrasonic position measurements for indoor aplications

Ferdinand van der Heijden, Paulus P.L. Regtien, G. Tuquerres, 2003 .

Robustness of ToF estimators - an Empirical Evaluation

F. van der Heijden, Ppl Regtien, T. S. Beneder, 2003 .

Hepatic vessel segmentation using a reduced filter 3D U-Net in ultrasound imaging

Ferdinand van der Heijden, Jasper Nijkamp, Theo J.M. Ruers, 2019, 1907.12109.

Prostate MR image segmentation using 3D active appearance models

Ferdinand van der Heijden, Bianca Maan, F. Heijden, 2012 .

Toward automatic segmentation and quantification of tumor and stroma in whole-slide images of H and E stained rectal carcinomas

Cornelis H. Slump, Ferdinand van der Heijden, Alexi Baidoshvili, 2015, Medical Imaging.