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Radiomics and deep learning of diffusion-weighted MRI in the diagnosis of breast cancer.

Q. Hu, H. Whitney, A. Edwards, J. Papaioannou, und M. Giger. Medical Imaging: Computer-Aided Diagnosis, Volume 10950 von SPIE Proceedings, Seite 109504A. SPIE, (2019)

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L. Ahlgrimm

Lambert Theisen University of Stuttgart

Annika Liebgott

Automated reference-free assessment of MR image quality using an active learning approach: Comparison of Support Vector Machine versus Deep Neural Network classificationS. Gatidis, A. Liebgott, M. Schwartz, P. Martirosian, F. Schick, K. Nikolaou, B. Yang, und T. Küstner. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Honolulu, Hawaii, USA, (April 2017)

Automated reference-free assessment of MR image quality using an active learning approach: Comparison of Support Vector Machine versus Deep Neural Network classificationS. Gatidis, A. Liebgott, M. Schwartz, P. Martirosian, F. Schick, K. Nikolaou, B. Yang, und T. Küstner. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Honolulu, Hawaii, USA, (April 2017)An easy-to-use image labeling platform for automatic Magnetic Resonance Image Quality AssessmentT. Küstner, P. Wolf, M. Schwartz, A. Liebgott, F. Schick, S. Gatidis, und B. Yang. Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI), Melbourne, Australia, (April 2017)Automated image quality assessment in whole-body MRIS. Gatidis, A. Liebgott, H. Schmidt, N. Schwenzer, P. Martirosian, K. Nikolaou, F. Schick, B. Yang, und T. Küstner. Proceedings of the Radiological Society of North America (RSNA), Chicago, USA, (November 2016)

Univ. -Prof. Dr. Remco Ingmar Leine University of Stuttgart

Christian León University of Stuttgart

Weitere Publikationen von Autoren mit dem selben Namen

Calibration Procedure of Three Component Mammographic Breast Imaging.S. Malkov, J. Ávila, B. Fan, B. Joe, K. Kerlikowske, M. Giger, K. Drukker, J. Drukteinis, L. Kazemi, M. Pereira und 1 andere Autor(en). Digital Mammography / IWDM, Volume 9699 von Lecture Notes in Computer Science, Seite 211-218. Springer, (2016)A novel strategy for segmentation of magnetic resonance (MR) images corrupted by intensity inhomogeneity artifacts.W. Chen, und M. Giger. Medical Imaging: Image Processing, Volume 6144 von SPIE Proceedings, Seite 61441C. SPIE, (2006)Texture analysis of peripheral bone densitometry images to aid the assessment of risk for fracture.M. Chinander, M. Giger, V. Jaros, T. Vokes, und H. Li. CARS, Volume 1268 von International Congress Series, Seite 1362. Elsevier, (2004)An image database management system for conducting CAD research.N. Gruszauskas, K. Drukker, und M. Giger. Medical Imaging: Computer-Aided Diagnosis, Volume 6514 von SPIE Proceedings, Seite 651428. SPIE, (2007)Joint feature selection and classification using a Bayesian neural network with automatic relevance determination priors: potential use in CAD of medical imaging.W. Chen, R. Zur, und M. Giger. Medical Imaging: Computer-Aided Diagnosis, Volume 6514 von SPIE Proceedings, Seite 65141G. SPIE, (2007)Computerized image analysis of cell-cell interactions in human renal tissue by using multi-channel immunoflourescent confocal microscopy.Y. Peng, Y. Jiang, V. Liarski, N. Kaverina, M. Clark, und M. Giger. Medical Imaging: Computer-Aided Diagnosis, Volume 8315 von SPIE Proceedings, Seite 83153F. SPIE, (2012)Roles of biologic breast tissue composition and quantitative image analysis of mammographic images in breast tumor characterization.K. Drukker, M. Giger, F. Duewer, S. Malkov, C. Flowers, B. Joe, K. Kerlikowske, J. Drukteinis, und J. Shepherd. Medical Imaging: Computer-Aided Diagnosis, Volume 9035 von SPIE Proceedings, Seite 90351U. SPIE, (2014)Transfer Learning in 4D for Breast Cancer Diagnosis using Dynamic Contrast-Enhanced Magnetic Resonance Imaging.Q. Hu, H. Whitney, und M. Giger. CoRR, (2019)Feature selection and classifiers for the computerized detection of mass lesions in digital mammography.M. Kupinski, und M. Giger. ICNN, Seite 2460-2463. IEEE, (1997)Quantitative ultrasound image analysis of axillary lymph node status in breast cancer patients.K. Drukker, M. Giger, L. Meinel, A. Starkey, J. Janardanan, und H. Abe. Int. J. Comput. Assist. Radiol. Surg., 8 (6): 895-903 (2013)