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Disambiguation of "Choyke, Peter L."

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A multiview boosting approach to tissue segmentation.

, , , , , , and . Medical Imaging: Digital Pathology, volume 9041 of SPIE Proceedings, page 90410R. SPIE, (2014)

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Peter L Marek

Peter Christopher-L Thoele

Peter L. T. Pirolli

L Solymosi

L Bräuer

 

Other publications of authors with the same name

Deep Recurrent Neural Networks for Prostate Cancer Detection: Analysis of Temporal Enhanced Ultrasound., , , , , , , , , and 2 other author(s). IEEE Trans. Med. Imaging, 37 (12): 2695-2703 (2018)A statistical model-based technique for accounting for prostate gland deformation in endorectal coil-based MR imaging., , , , , , , , and . EMBC, page 5412-5415. IEEE, (2012)Development of an ATM-based radiology consultation workstation for radiotherapy treatment planning., , , , , , , , , and . Medical Imaging: Image Processing, volume 3031 of SPIE Proceedings, SPIE, (1997)Pilot study for supervised target detection applied to spatially registered multiparametric MRI in order to non-invasively score prostate cancer., , , , and . Comput. Biol. Medicine, (2018)Multi-Domain Image Completion for Random Missing Input Data., , , , , , , , , and 2 other author(s). CoRR, (2020)Federated learning improves site performance in multicenter deep learning without data sharing., , , , , , , , , and 9 other author(s). J. Am. Medical Informatics Assoc., 28 (6): 1259-1264 (2021)Prostate Segmentation in MR Images Using Discriminant Boundary Features., , , , and . IEEE Trans. Biomed. Eng., 60 (2): 479-488 (2013)Classifying Cancer Grades Using Temporal Ultrasound for Transrectal Prostate Biopsy., , , , , , , , , and 3 other author(s). MICCAI (1), volume 9900 of Lecture Notes in Computer Science, page 653-661. (2016)A Decomposable Model for the Detection of Prostate Cancer in Multi-parametric MRI., , , , , , , , , and 2 other author(s). MICCAI (2), volume 11071 of Lecture Notes in Computer Science, page 930-939. Springer, (2018)Efficient Hilbert transform-based alternative to Tofts physiological models for representing MRI dynamic contrast-enhanced images in computer-aided diagnosis of prostate cancer., , , , , , , , , and 1 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 9414 of SPIE Proceedings, page 94140S. SPIE, (2015)