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Level Set Breast Mass Segmentation in Contrast-Enhanced and Non-Contrast-Enhanced Breast CT.

H. Kuo, M. Giger, I. Reiser, J. Boone, K. Lindfors, K. Yang, and A. Edwards. Digital Mammography / IWDM, volume 7361 of Lecture Notes in Computer Science, page 697-704. Springer, (2012)

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Alexandra Voit University of Stuttgart

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Other publications of authors with the same name

Level Set Breast Mass Segmentation in Contrast-Enhanced and Non-Contrast-Enhanced Breast CT.H. Kuo, M. Giger, I. Reiser, J. Boone, K. Lindfors, K. Yang, and A. Edwards. Digital Mammography / IWDM, volume 7361 of Lecture Notes in Computer Science, page 697-704. Springer, (2012)Effect of biopsy on the MRI radiomics classification of benign lesions and luminal A cancers.H. Whitney, K. Drukker, A. Edwards, J. Papaioannou, and M. Giger. IWBI, volume 10718 of SPIE Proceedings, page 107180H. SPIE, (2018)Robustness of radiomic breast features of benign lesions and luminal A cancers across MR magnet strengths.H. Whitney, K. Drukker, A. Edwards, J. Papaioannou, and M. Giger. Medical Imaging: Computer-Aided Diagnosis, volume 10575 of SPIE Proceedings, page 105750A. SPIE, (2018)Effect of diversity of patient population and acquisition systems on the use of radiomics and machine learning for classification of 2, 397 breast lesions.H. Whitney, Y. Ji, H. Li, A. Edwards, J. Papaioannou, P. Liu, and M. Giger. Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109501A. SPIE, (2019)Automatic 3D lesion segmentation on breast ultrasound images.H. Kuo, M. Giger, I. Reiser, K. Drukker, A. Edwards, and C. Sennett. Medical Imaging: Computer-Aided Diagnosis, volume 8670 of SPIE Proceedings, page 867025. SPIE, (2013)Level Set Segmentation of Breast Masses in Contrast-Enhanced Dedicated Breast CT and Evaluation of Stopping Criteria.H. Kuo, M. Giger, I. Reiser, J. Boone, K. Lindfors, K. Yang, and A. Edwards. J. Digital Imaging, 27 (2): 237-247 (2014)Radiomics and deep learning of diffusion-weighted MRI in the diagnosis of breast cancer.Q. Hu, H. Whitney, A. Edwards, J. Papaioannou, and M. Giger. Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109504A. SPIE, (2019)Breast MRI radiomics for the pre-treatment prediction of response to neoadjuvant chemotherapy in node-positive breast cancer patients.K. Drukker, I. El-Bawab, A. Edwards, C. Doyle, J. Papaioannou, K. Kulkarni, and M. Giger. Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109502N. SPIE, (2019)