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Probabilistic pairwise Markov models: application to prostate cancer detection.

, , , , , , , , and . Medical Imaging: Image Processing, volume 7259 of SPIE Proceedings, page 725903. SPIE, (2009)

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Alexander Verl

On the Dynamics and Emergency Stop Behavior of Cable-Driven Parallel Robots, , and . ROMANSY 21 - Robot Design, Dynamics and Control, volume 569 of CISM International Centre for Mechanical Sciences, page 431--438. Switzerland, Springer Verlag and Springer International Publishing, (2016)
 

Other publications of authors with the same name

High-throughput detection of prostate cancer in histological sections using probabilistic pairwise Markov models., , , , , , , , , and . Medical Image Analysis, 14 (4): 617-629 (2010)Augmenting Detection of Prostate Cancer in Transrectal Ultrasound Images Using SVM and RF Time Series., , , , , and . IEEE Trans. Biomed. Engineering, 56 (9): 2214-2224 (2009)Automated detection of prostate cancer using wavelet transform features of ultrasound RF time series., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 7260 of SPIE Proceedings, page 72603J. SPIE, (2009)Separation of Benign and Malignant Glands in Prostatic Adenocarcinoma., , , , , and . MICCAI (3), volume 8151 of Lecture Notes in Computer Science, page 461-468. Springer, (2013)Prostate Cancer Probability Maps Based on Ultrasound RF Time Series and SVM Classifiers., , , , , and . MICCAI (1), volume 5241 of Lecture Notes in Computer Science, page 76-84. Springer, (2008)Probabilistic pairwise Markov models: application to prostate cancer detection., , , , , , , , and . Medical Imaging: Image Processing, volume 7259 of SPIE Proceedings, page 725903. SPIE, (2009)Automatic pathology of prostate cancer in whole mount slides incorporating individual gland classification., , , , , , , and . Comput. methods Biomech. Biomed. Eng. Imaging Vis., 7 (3): 336-347 (2019)