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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)

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John Nixon University of Stuttgart

Isaac Henderson Johnson Jeyakumar University of Stuttgart

David John Cross University of Stuttgart

Other publications of authors with the same name

An Integrated CT-Imaging, CAD-Based System for Orthopedic Surgery.C. haur Wu, S. Stulberg, J. Papaioannou, H. Huang, K. Hwang, and T. Kienzle. ICRA (1), page 895-900. IEEE Computer Society Press, (1993)Requirement of microcalcification detection for computerized classification of malignant and benign clustered microcalcifications.Y. Jiang, R. Nishikawa, and J. Papaioannou. Medical Imaging: Image Processing, volume 3338 of SPIE Proceedings, SPIE, (1998)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)Prospective Testing of a Clinical Mammography Workstation for CAD: Analysis of the First 10, 000 Cases.R. Nishikawa, M. Giger, D. Wolverton, R. Schmidt, C. Comstock, J. Papaioannou, S. Collins, and K. Doi. Digital Mammography / IWDM, volume 13 of Computational Imaging and Vision, page 401-406. Springer, (1998)Eliminating false-positive microcalcification clusters in a mammography CAD scheme using a Bayesian neural network.D. Edwards, J. Papaioannou, Y. Jiang, M. Kupinski, and R. Nishikawa. Medical Imaging: Image Processing, volume 4322 of SPIE Proceedings, SPIE, (2001)Improving the automated classification of clustered calcifications on mammograms through the improved detection of individual calcifications.R. Nishikawa, M. Salfity, Y. Jiang, and J. Papaioannou. Medical Imaging: Image Processing, volume 4684 of SPIE Proceedings, SPIE, (2002)Reproducibility of an automated scheme for the detection of clustered microcalcifications on digital mammograms.R. Nishikawa, J. Papaioannou, and S. Collins. Medical Imaging: Image Processing, volume 2710 of SPIE Proceedings, SPIE, (1996)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)Learning the Greek Language via Greeklish.A. Karakos, J. Papaioannou, and A. Georgiadou. IxD&A, (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)

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Disambiguation of "Papaioannou, John"

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Robustness of radiomic breast features of benign lesions and luminal A cancers across MR magnet strengths.

Please choose a person to relate this publication to

John Nixon University of Stuttgart

Isaac Henderson Johnson Jeyakumar University of Stuttgart

David John Cross University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Papaioannou, John"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Robustness of radiomic breast features of benign lesions and luminal A cancers across MR magnet strengths.

Please choose a person to relate this publication to

John Nixon University of Stuttgart

Isaac Henderson Johnson Jeyakumar University of Stuttgart

David John Cross University of Stuttgart

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
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APA
Chicago
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Robustness of radiomic breast features of benign lesions and luminal A cancers across MR magnet strengths.