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A statistical model-based technique for accounting for prostate gland deformation in endorectal coil-based MR imaging.

, , , , , , , , и . EMBC, стр. 5412-5415. IEEE, (2012)

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Baris Yanik

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Caroline Barisch

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Imam Baris

 

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Realtime TRUS/MRI Fusion Targeted-Biopsy for Prostate Cancer: A Clinical Demonstration of Increased Positive Biopsy Rates., , , , , , , , и . Prostate Cancer Imaging, том 6367 из Lecture Notes in Computer Science, стр. 52-62. Springer, (2010)Atlas based AAM and SVM model for fully automatic MRI prostate segmentation., , , , , , , , , и 3 other автор(ы). EMBC, стр. 2881-2585. IEEE, (2014)Deeply-supervised CNN for prostate segmentation., , , , и . IJCNN, стр. 178-184. IEEE, (2017)Global structure constrained local shape prior estimation for medical image segmentation., , , , и . Comput. Vis. Image Underst., 117 (9): 1017-1026 (2013)A Mixed Reality Guidance System for Robot Assisted Laparoscopic Radical Prostatectomy., , , , , , , , и . OR 2.0/CARE/CLIP/ISIC@MICCAI, том 11041 из Lecture Notes in Computer Science, стр. 164-174. Springer, (2018)Deep Learning Framework for Epithelium Density Estimation in Prostate Multi-Parametric Magnetic Resonance Imaging., , , , , , , , , и . ISBI, стр. 438-441. IEEE, (2020)VISTA3D: Versatile Imaging SegmenTation and Annotation model for 3D Computed Tomography., , , , , , , , , и 4 other автор(ы). CoRR, (2024)Exploiting Interslice Correlation for MRI Prostate Image Segmentation, from Recursive Neural Networks Aspect., , , , и . Complex., (2018)A Sparse Convolutional Autoencoder for Joint Feature Extraction and Clustering of Metastatic Prostate Cancer Images., , , , , , , и . AIME (2), том 14845 из Lecture Notes in Computer Science, стр. 9-20. Springer, (2024)Deep learning vs. conventional methods for automatic quantification of total tumor radioactivity in positron projection images of mouse xenograft tumors., , , , , , и . Biomedical Applications in Molecular, Structural, and Functional Imaging, том 12036 из SPIE Proceedings, SPIE, (2022)