Jan-Jurre Mordang

According to our database, Jan-Jurre Mordang authored at least 13 papers between 2013 and 2018.

Collaborative distances:

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

2018

Improving the Automated Detection of Calcifications Using Adaptive Variance Stabilization.

Alessandro Bria, Claudio Marrocco, Lucas R. Borges, Mario Molinara, Agnese Marchesi, Jan-Jurre Mordang, Nico Karssemeijer, Francesco Tortorella

IEEE Trans. Medical Imaging, 2018

Can radiologists improve their breast cancer detection in mammography when using a deep learning based computer system as decision support?

Alejandro Rodríguez-Ruiz, Jan-Jurre Mordang, Nico Karssemeijer, Ioannis Sechopoulos, Ritse M. Mann

Proceedings of the 14th International Workshop on Breast Imaging, 2018

Mammogram denoising to improve the calcification detection performance of convolutional nets.

Claudio Marrocco, Alessandro Bria, Valerio Di Sano, Lucas R. Borges, Benedetta Savelli, Mario Molinara, Jan-Jurre Mordang, Nico Karssemeijer, Francesco Tortorella

Proceedings of the 14th International Workshop on Breast Imaging, 2018

Improving the automated detection of calcifications by combining deep cascades and deep convolutional nets.

Alessandro Bria, Claudio Marrocco, Mario Molinara, Benedetta Savelli, Jan-Jurre Mordang, Nico Karssemeijer, Francesco Tortorella

Proceedings of the 14th International Workshop on Breast Imaging, 2018

2017

Conditional random field modelling of interactions between findings in mammography.

Thijs Kooi, Jan-Jurre Mordang, Nico Karssemeijer

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Spatial Enhancement by Dehazing for Detection of Microcalcifications with Convolutional Nets.

Alessandro Bria, Claudio Marrocco, Adrian Galdran, Aurélio Campilho, Agnese Marchesi, Jan-Jurre Mordang, Nico Karssemeijer, Mario Molinara, Francesco Tortorella

Proceedings of the Image Analysis and Processing - ICIAP 2017, 2017

The Effect of Mammogram Preprocessing on Microcalcification Detection with Convolutional Neural Networks.

Agnese Marchesi, Alessandro Bria, Claudio Marrocco, Mario Molinara, Jan-Jurre Mordang, Francesco Tortorella, Nico Karssemeijer

Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

2016

Automatic Microcalcification Detection in Multi-vendor Mammography Using Convolutional Neural Networks.

Jan-Jurre Mordang, Tim Janssen, Alessandro Bria, Thijs Kooi, Albert Gubern-Mérida, Nico Karssemeijer

Proceedings of the Breast Imaging, 2016

A Comparison Between a Deep Convolutional Neural Network and Radiologists for Classifying Regions of Interest in Mammography.

Thijs Kooi, Albert Gubern-Mérida, Jan-Jurre Mordang, Ritse Mann, Ruud Pijnappel, Klaas Schuur, Ard den Heeten, Nico Karssemeijer

Proceedings of the Breast Imaging, 2016

LUT-QNE: Look-Up-Table Quantum Noise Equalization in Digital Mammograms.

Alessandro Bria, Claudio Marrocco, Jan-Jurre Mordang, Nico Karssemeijer, Mario Molinara, Francesco Tortorella

Proceedings of the Breast Imaging, 2016

2015

Vessel segmentation in screening mammograms.

Jan-Jurre Mordang, Nico Karssemeijer

Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

2014

Automated Labeling of Screening Mammograms with Arterial Calcifications.

Jan-Jurre Mordang, Jakob L. Hauth, Gerard J. den Heeten, Nico Karssemeijer

Proceedings of the Breast Imaging - 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29, 2014

2013

A pattern recognition framework for vessel segmentation in 4D CT of the brain.

Jan-Jurre Mordang, Marcel T. H. Oei, Rieneke van den Boom, Ewoud J. Smit, Mathias Prokop, Bram van Ginneken, Rashindra Manniesing

Proceedings of the Medical Imaging 2013: Image Processing, 2013