Johannes Buurman

发表

Heterogeneity of kinetic curve parameters as indicator for the malignancy of breast lesions in DCE MRI

Thomas Bülow, Rafael Wiemker, Axel Saalbach, 2010, Medical Imaging.

Discovering deviating cases and process variants using trace clustering

van der Wmp Wil Aalst, Wil M.P. van der Aalst, Johannes Buurman, 2015 .

Robust segmentation of mass‐lesions in contrast‐enhanced dynamic breast MR images

Johannes Buurman, Thomas Buelow, Gillian Newstead, 2010, Journal of magnetic resonance imaging : JMRI.

Learning procedure for the recognition of 3-D objects from 2-D images

Robert P. W. Duin, Johannes Buurman, Mischa Bart, 1991, Other Conferences.

The influence of temporal resolution in determining pharmacokinetic parameters from DCE‐MRI data

Johannes Buurman, Xiaobing Fan, Marieke Heisen, 2010, Magnetic resonance in medicine.

Two stage object identification system in the Delft intelligent assembly cell

Johannes Buurman, David J. W. Bierhuizen, 1991, Other Conferences.

Detecting Change in Processes Using Comparative Trace Clustering

Wil M. P. van der Aalst, Johannes Buurman, Joos C. A. M. Buijs, 2015, SIMPDA.

Temporal variations in apparent breast lesion volume in dynamic contrast enhanced breast MR imaging

Thomas Bülow, Rafael Wiemker, Johannes Buurman, 2009, Medical Imaging.

Progress in the European applications in surgical interventions (EASI) project

Frans A. Gerritsen, Johannes Buurman, Onno Wink, 1998 .

Learning 3D object descriptions from a set of stereo vision observations

Johannes Buurman, John J. de Jong, 1992, [1992] Proceedings. 11th IAPR International Conference on Pattern Recognition.

Computer-Aided Diagnosis in Breast MRI: Do Adjunct Features Derived from T2-weighted Images Improve Classification of Breast Masses?

Bart M. ter Haar Romeny, Frans A. Gerritsen, Thorsten Twellmann, 2008, Bildverarbeitung für die Medizin.

Pharmacokinetic models in clinical practice: What model to use for DCE-MRI of the breast?

Bart M. ter Haar Romeny, Geert J. S. Litjens, Johannes Buurman, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

The EASI project-improving the effectiveness and quality of image-guided surgery

Marcel Breeuwer, Cristian Lorenz, Paul Suetens, 1998, IEEE Transactions on Information Technology in Biomedicine.

FAST REGISTRATION FOR MOTION CORRECTION OF BREAST MR IMAGES

Frans A. Gerritsen, Johannes Buurman, Ursula Kose, 2007 .

The role of temporal resolution in determining pharmacokinetic parameters from DCE-MR data

B. M. ter Haar Romenij, Johannes Buurman, T. Twellmann, 2008 .

Enhancing Process Mining Results using Domain Knowledge

Wil M. P. van der Aalst, Johannes Buurman, Joos C. A. M. Buijs, 2015, SIMPDA.

Detecting Changes in Process Behavior Using Comparative Case Clustering

Wil M. P. van der Aalst, Wil M.P. van der Aalst, Johannes Buurman, 2015, SIMPDA.

Implementation and Use of Software Scanning on a Small CLIP4 Processor Array

Robert P. W. Duin, Johannes Buurman, 1988, Pattern Recognition.

Using Domain Knowledge to Enhance Process Mining Results

Wil M. P. van der Aalst, Wil M.P. van der Aalst, Johannes Buurman, 2015, SIMPDA.

Ellipse based stereo vision

Johannes Buurman, 1992, ECCV.

Anatomical landmark image registration: validation and comparison

David J. Hawkes, Johannes Buurman, Karel C. Strasters, 1997, CVRMed.

Cross-Sectional Relatedness Between Sentences in Breast Radiology Reports: Development of an SVM Classifier and Evaluation Against Annotations of Five Breast Radiologists

Hiroyuki Abe, Merlijn Sevenster, Johannes Buurman, 2013, Journal of Digital Imaging.

DIAC object recognition system

Johannes Buurman, 1992, Defense, Security, and Sensing.

Effects of reference tissue AIF derived from low temporal resolution DCE-MRI data on pharmacokinetic parameter estimation

Johannes Buurman, Xiaobing Fan, ter Bm Bart Haar Romeny, 2010 .