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Application of image analysis techniques to distinguish benign from malignant solitary pulmonary nodules imaged on CT.

M. McNitt-Gray, E. Hart, N. Wyckoff, J. Sayre, J. Goldin, and D. Aberle. Medical Imaging: Image Processing, volume 3338 of SPIE Proceedings, SPIE, (1998)

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Dr. Benjamin Aberle University of Stuttgart

R. Koerner

R. Watty

Nadine-Denise Auwärter University of Stuttgart

Prof. iR Dr. -Ing. Matthias Reuß University of Stuttgart

Metabolic efficiency in yeast Saccharomyces cerevisiae in relation to temperature dependent growth and biomass yieldM. Zakhartsev, X. Yang, M. Reuss, and H. Pörtner. Journal of thermal biology, (2015)

Metabolic efficiency in yeast Saccharomyces cerevisiae in relation to temperature dependent growth and biomass yieldM. Zakhartsev, X. Yang, M. Reuss, and H. Pörtner. Journal of thermal biology, (2015)Indirect protein quantification of drug-transforming enzymes using peptide group-specific immunoaffinity enrichment and mass spectrometryF. Weiß, A. Schnabel, H. Planatscher, B. van den Berg, B. Serschnitzki, A. Nuessler, W. Thasler, T. Weiss, M. Reuss, D. Stoll and 4 other author(s). Scientific reports, (2015)Fast sampling for quantitative microbial metabolomics: new aspects on cold methanol quenching: metabolite co-precipitationM. Zakhartsev, O. Vielhauer, T. Horn, X. Yang, and M. Reuss. Metabolomics, 11 (2): 286-301 (2015)

Other publications of authors with the same name

TimeLine: A Multimedia, Problem-Centric Visualization of Patient Records.A. Bui, D. Aberle, J. Goldin, M. McNitt-Gray, A. Cardenas, E. Kleerup, and O. Ratib. AMIA, AMIA, (1999)An Interpretable Deep Hierarchical Semantic Convolutional Neural Network for Lung Nodule Malignancy Classification.S. Shen, S. Han, D. Aberle, A. Bui, and W. Hsu. CoRR, (2018)TimeLine: Visualizing Integrated Patient Records.A. Bui, D. Aberle, and H. Kangarloo. IEEE Trans. Information Technology in Biomedicine, 11 (4): 462-473 (2007)Differentiating solitary pulmonary nodules (SPNs) with 3D shape features.Y. Wang, M. McNitt-Gray, M. Brown, J. Goldin, H. Zhao, and D. Aberle. Medical Imaging: Computer-Aided Diagnosis, volume 6514 of SPIE Proceedings, page 65143D. SPIE, (2007)Computer-aided lung nodule diagnosis using a simple classifier.S. Shah, M. McNitt-Gray, S. Rogers, J. Goldin, D. Aberle, R. Suh, K. DeZoysa, and M. Brown. CARS, volume 1268 of International Congress Series, page 952-955. Elsevier, (2004)An interpretable deep hierarchical semantic convolutional neural network for lung nodule malignancy classification.S. Shen, S. Han, D. Aberle, A. Bui, and W. Hsu. Expert Syst. Appl., (2019)A concept-based retrieval system for thoracic radiology.R. Taira, D. Johnson, V. Bhushan, M. Rivera, C. Wong, L. Huang, D. Aberle, M. Greaves, and J. Goldin. J. Digital Imaging, 9 (1): 25-36 (1996)Electronic archiving for radiology image management systems.S. III, B. Stewart, D. Aberle, M. Boechat, L. Yao, and D. Marciano. MSS, page 9-18. IEEE Computer Society, (1993)The influence of CT dose and reconstruction parameters on automated detection of small pulmonary nodules.R. Ochs, E. Angel, K. Boedeker, I. Petkovska, C. Panknin, J. Goldin, D. Aberle, M. McNitt-Gray, and M. Brown. Medical Imaging: Image Processing, volume 6144 of SPIE Proceedings, page 61445W. SPIE, (2006)Explainable Hierarchical Semantic Convolutional Neural Network for Lung Cancer Diagnosis.S. Shen, S. Han, D. Aberle, A. Bui, and W. Hsu. CVPR Workshops, page 63-66. Computer Vision Foundation / IEEE, (2019)