Author of the publication

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)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Deeply-Supervised CNN for Prostate Segmentation., , , , and . CoRR, (2017)Realtime TRUS/MRI Fusion Targeted-Biopsy for Prostate Cancer: A Clinical Demonstration of Increased Positive Biopsy Rates., , , , , , , , and . Prostate Cancer Imaging, volume 6367 of Lecture Notes in Computer Science, page 52-62. Springer, (2010)Exploiting Interslice Correlation for MRI Prostate Image Segmentation, from Recursive Neural Networks Aspect., , , , and . Complex., (2018)Discrete Deformable Model Guided by Partial Active Shape Model for TRUS Image Segmentation., , , and . IEEE Trans. Biomed. Eng., 57 (5): 1158-1166 (2010)Active appearance model and deep learning for more accurate prostate segmentation on MRI., , , , , , , , , and 1 other author(s). Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 97842I. SPIE, (2016)Atlas based AAM and SVM model for fully automatic MRI prostate segmentation., , , , , , , , , and 3 other author(s). EMBC, page 2881-2585. IEEE, (2014)A collaborative computer aided diagnosis (C-CAD) system with eye-tracking, sparse attentional model, and deep learning., , , , , and . Medical Image Anal., (2019)Using YOLO v7 to Detect Kidney in Magnetic Resonance Imaging., , , , , , , , , and 9 other author(s). CoRR, (2024)Multi-Task Learning for Registering Images With Large Deformation., , , and . IEEE J. Biomed. Health Informatics, 25 (5): 1624-1633 (2021)Global structure constrained local shape prior estimation for medical image segmentation., , , , and . Comput. Vis. Image Underst., 117 (9): 1017-1026 (2013)