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Disambiguation of "Henschke, Claudia I."

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Detection and classification of coronary artery calcifications in low dose thoracic CT using deep learning.

, , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 1095039. SPIE, (2019)

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Hermann Henschke

Hermann Henschke

Herbert Henschke

Thomas Henschke

Gisela Henschke

 

Other publications of authors with the same name

Prediction of tumor volumes using an exponential model., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 6514 of SPIE Proceedings, page 65143A. SPIE, (2007)On measuring the change in size of pulmonary nodules., , , , , and . IEEE Trans. Medical Imaging, 25 (4): 435-450 (2006)Segmentation of the whole breast from low-dose chest CT images., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9414 of SPIE Proceedings, page 94140I. SPIE, (2015)Fully automated gynecomastia quantification from low-dose chest CT., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10575 of SPIE Proceedings, page 1057524. SPIE, (2018)Bronchial segment matching in low-dose lung CT scan pairs., , , and . Medical Imaging: Computer-Aided Diagnosis, volume 7260 of SPIE Proceedings, page 72600A. SPIE, (2009)A multiscale Laplacian of Gaussian filtering approach to automated pulmonary nodule detection from whole-lung low-dose CT scans., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 7260 of SPIE Proceedings, page 72601Q. SPIE, (2009)Automated volumetric segmentation method for growth consistency of nonsolid pulmonary nodules in high-resolution CT., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 6514 of SPIE Proceedings, page 65140Y. SPIE, (2007)Consistent segmentation of repeat CT scans for growth assessment in pulmonary nodules., , , , and . Medical Imaging: Image Processing, volume 3661 of SPIE Proceedings, SPIE, (1999)Semi-Automated Measurement of Pulmonary Nodule Growth without Explicit Segmentation., , , , and . ISBI, page 855-858. IEEE, (2009)The Lung Image Database Consortium (LIDC): a quality assurance model for the collection of expert-defined truth in lung-nodule-based image analysis studies., , , , , , , , , and 5 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 6514 of SPIE Proceedings, page 651429. SPIE, (2007)