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Disambiguation of "Russo, Filippo"

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MR-T2-weighted signal intensity: a new imaging biomarker of prostate cancer aggressiveness.

, , , , , , and . Comput. methods Biomech. Biomed. Eng. Imaging Vis., 4 (3-4): 130-134 (2016)

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Cesare Filippo

Wilhelm Russo

Valeska Russo

Giuseppe Russo

Elisabeth Russo

 

Other publications of authors with the same name

Deep learning model for automatic prostate segmentation on bicentric T2w images with and without endorectal coil., , , , , , , , , and . EMBC, page 3370-3373. IEEE, (2021)Virtual biopsy in prostate cancer: can machine learning distinguish low and high aggressive tumors on MRI?, , , , , , , , and . EMBC, page 3374-3377. IEEE, (2021)Comparison of Histogram-based Textural Features between Cancerous and Normal Prostatic Tissue in Multiparametric Magnetic Resonance Images., , , , , , , and . EMBC, page 1671-1674. IEEE, (2020)A prostate CAD system based on multiparametric analysis of DCE T1-w, and DW automatically registered images., , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 8670 of SPIE Proceedings, page 86703E. SPIE, (2013)A CAD system based on multi-parametric analysis for cancer prostate detection on DCE-MRI., , , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 7963 of SPIE Proceedings, page 79633Q. SPIE, (2011)A fully automatic computer aided diagnosis system for peripheral zone prostate cancer detection using multi-parametric magnetic resonance imaging., , , , , , , and . Comput. Medical Imaging Graph., (2015)A fully automatic method to register the prostate gland on T2-weighted and EPI-DWI images., , , , , , , , , and 1 other author(s). EMBC, page 8029-8032. IEEE, (2011)Comparison of GIS-based methodologies for the landslide susceptibility assessment., , and . GeoInformatica, 13 (3): 253-265 (2009)MR-T2-weighted signal intensity: a new imaging biomarker of prostate cancer aggressiveness., , , , , , and . Comput. methods Biomech. Biomed. Eng. Imaging Vis., 4 (3-4): 130-134 (2016)ChiMerge discretization method: Impact on a computer aided diagnosis system for prostate cancer in MRI., , , , , and . MeMeA, page 297-302. IEEE, (2015)