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Disambiguation of "Prokop, Mathias"

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Improved classification of pulmonary nodules by automated detection of benign subpleural lymph nodes.

, , , , , and . ISBI, page 494-497. IEEE, (2006)

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Mathias Prokop

Stefan Prokop

Michael Prokop

Ludwig Prokop

Ursula Prokop

 

Other publications of authors with the same name

Automatic Segmentation of the Pulmonary Lobes from Fissures, Airways, and Lung Borders: Evaluation of Robustness against Missing Data., , , , , and . MICCAI (1), volume 5761 of Lecture Notes in Computer Science, page 263-271. Springer, (2009)Towards automatic pulmonary nodule management in lung cancer screening with deep learning., , , , , , , , , and 3 other author(s). CoRR, (2016)Local noise reduction for emphysema scoring in low-dose CT images., , , and . Medical Imaging: Image Processing, volume 5747 of SPIE Proceedings, SPIE, (2005)Quantitative CT based radiomics as predictor of resectability of pancreatic adenocarcinoma., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10575 of SPIE Proceedings, page 105753O. SPIE, (2018)Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge., , , , , , , , , and 21 other author(s). CoRR, (2016)Improved classification of pulmonary nodules by automated detection of benign subpleural lymph nodes., , , , , and . ISBI, page 494-497. IEEE, (2006)Interactive annotation of textures in thoracic CT scans., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 7624 of SPIE Proceedings, page 76240X. SPIE, (2010)Noise filtering in thin-slice 4D cerebral CT perfusion scans., , , , and . Medical Imaging: Image Processing, volume 7623 of SPIE Proceedings, page 76230N. SPIE, (2010)Segmentation of arteries and veins on 4D CT perfusion scans for constructing arteriograms and venograms., , , , , and . Medical Imaging: Image Processing, volume 7259 of SPIE Proceedings, page 72590Z. SPIE, (2009)Automated Estimation of Total Lung Volume using Chest Radiographs and Deep Learning., , , , , and . CoRR, (2021)