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Disambiguation of "Giannini, Valentina"

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Impact of network parameters on a U-Net based system for rectal cancer segmentation on MR images.

, , , , , and . MeMeA, page 1-6. IEEE, (2022)

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Mario Giannini

Carolin Giannini

Colian Giannini

Valentina David

Valentina Tischer

 

Other publications of authors with the same name

Dataset homogeneity assessment for a prostate cancer CAD system., , , , and . MeMeA, page 1-7. IEEE, (2016)Correlation based Feature Selection impact on the classification of breast cancer patients response to neoadjuvant chemotherapy., , , , , and . MeMeA, page 1-5. IEEE, (2018)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)Comparison between Different Approaches for the Creation of the Training Set: How Clustering and Dimensionality Impact the Performance of a Deep Learning Model., , , , , and . BIBE, page 393-396. IEEE, (2023)ChiMerge discretization method: Impact on a computer aided diagnosis system for prostate cancer in MRI., , , , , and . MeMeA, page 297-302. IEEE, (2015)Multimodal T2w and DWI Prostate Gland Automated Registration., , , , , , , and . EMBC, page 4427-4430. IEEE, (2019)A fully automatic lesion detection method for DCE-MRI fat-suppressed breast images., , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 7260 of SPIE Proceedings, page 726026. SPIE, (2009)Radiomics for pretreatment prediction of pathological response to neoadjuvant therapy using magnetic resonance imaging: Influence of feature selection., , , , , and . ISBI, page 285-288. IEEE, (2018)Deep learning model for automatic prostate segmentation on bicentric T2w images with and without endorectal coil., , , , , , , , , and . EMBC, page 3370-3373. IEEE, (2021)A fully automatic deep learning algorithm to segment rectal Cancer on MR images: a multi-center study., , , , , , , , , and 1 other author(s). EMBC, page 5066-5069. IEEE, (2022)