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Automated Labeling of Screening Mammograms with Arterial Calcifications.

J. Mordang, J. Hauth, G. den Heeten, and N. Karssemeijer. Digital Mammography / IWDM, volume 8539 of Lecture Notes in Computer Science, page 589-596. Springer, (2014)

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Tim Janz University of Stuttgart

PD Dr. phil. Frank Janle University of Stuttgart

Benedikt Janny

Isabel Janowsky University of Stuttgart

Hon. -Prof. Dr. Martin Jansen University of Stuttgart

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Can radiologists improve their breast cancer detection in mammography when using a deep learning based computer system as decision support?A. Rodríguez-Ruiz, J. Mordang, N. Karssemeijer, I. Sechopoulos, and R. Mann. IWBI, volume 10718 of SPIE Proceedings, page 1071803. SPIE, (2018)The Effect of Mammogram Preprocessing on Microcalcification Detection with Convolutional Neural Networks.A. Marchesi, A. Bria, C. Marrocco, M. Molinara, J. Mordang, F. Tortorella, and N. Karssemeijer. CBMS, page 207-212. IEEE Computer Society, (2017)Spatial Enhancement by Dehazing for Detection of Microcalcifications with Convolutional Nets.A. Bria, C. Marrocco, A. Galdran, A. Campilho, A. Marchesi, J. Mordang, N. Karssemeijer, M. Molinara, and F. Tortorella. ICIAP (2), volume 10485 of Lecture Notes in Computer Science, page 288-298. Springer, (2017)A Comparison Between a Deep Convolutional Neural Network and Radiologists for Classifying Regions of Interest in Mammography.T. Kooi, A. Gubern-Mérida, J. Mordang, R. Mann, R. Pijnappel, K. Schuur, A. den Heeten, and N. Karssemeijer. Digital Mammography / IWDM, volume 9699 of Lecture Notes in Computer Science, page 51-56. Springer, (2016)Improving the automated detection of calcifications by combining deep cascades and deep convolutional nets.A. Bria, C. Marrocco, M. Molinara, B. Savelli, J. Mordang, N. Karssemeijer, and F. Tortorella. IWBI, volume 10718 of SPIE Proceedings, page 1071808. SPIE, (2018)Improving the Automated Detection of Calcifications Using Adaptive Variance Stabilization.A. Bria, C. Marrocco, L. Borges, M. Molinara, A. Marchesi, J. Mordang, N. Karssemeijer, and F. Tortorella. IEEE Trans. Med. Imaging, 37 (8): 1857-1864 (2018)Mammogram denoising to improve the calcification detection performance of convolutional nets.C. Marrocco, A. Bria, V. Sano, L. Borges, B. Savelli, M. Molinara, J. Mordang, N. Karssemeijer, and F. Tortorella. IWBI, volume 10718 of SPIE Proceedings, page 107180W. SPIE, (2018)Automatic Microcalcification Detection in Multi-vendor Mammography Using Convolutional Neural Networks.J. Mordang, T. Janssen, A. Bria, T. Kooi, A. Gubern-Mérida, and N. Karssemeijer. Digital Mammography / IWDM, volume 9699 of Lecture Notes in Computer Science, page 35-42. Springer, (2016)A pattern recognition framework for vessel segmentation in 4D CT of the brain.J. Mordang, M. Oei, R. van den Boom, E. Smit, M. Prokop, B. van Ginneken, and R. Manniesing. Medical Imaging: Image Processing, volume 8669 of SPIE Proceedings, page 866919. SPIE, (2013)Automated Labeling of Screening Mammograms with Arterial Calcifications.J. Mordang, J. Hauth, G. den Heeten, and N. Karssemeijer. Digital Mammography / IWDM, volume 8539 of Lecture Notes in Computer Science, page 589-596. Springer, (2014)