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Nicola Schieda
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2020 – today
- 2024
- [j3]Rohini Gaikar, Azar Azad, Nicola Schieda, Eranga Ukwatta:
Fully Automated Deep Learning-Based Renal Mass Detection on Multi-Parametric MRI. IEEE Access 12: 112714-112728 (2024) - 2023
- [j2]Hossein Asilian Bidgoli, Nicola Schieda, Carlos Rossa:
On the Sensitivity of Bevelled and Conical Coaxial Needle Probes for Dielectric Spectroscopy. IEEE Trans. Instrum. Meas. 72: 1-9 (2023) - [c3]Hossein Asilian Bidgoli, Nicola Schieda, Carlos Rossa:
Penetration Depth Quantification of Open-ended Coaxial Probes for Dielectric Spectroscopy of Layered Media. CCECE 2023: 94-98 - [c2]Rohini Gaikar, Azar Azad, Nicola Schieda, Eranga Ukwatta:
Fully automated cascaded approach for renal mass detection on T2 weighted MRI images. Medical Imaging: Computer-Aided Diagnosis 2023 - 2022
- [c1]Rohini Gaikar, Fatemeh Zabihollahy, Nadia A. Farrag, Mohamed W. Elfaal, Nicola Schieda, Eranga Ukwatta:
Transfer learning based fully automated kidney segmentation on MR images. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - 2020
- [j1]Fatemeh Zabihollahy, Nicola Schieda, Eranga Ukwatta:
Patch-Based Convolutional Neural Network for Differentiation of Cyst From Solid Renal Mass on Contrast-Enhanced Computed Tomography Images. IEEE Access 8: 8595-8602 (2020)
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last updated on 2024-09-10 01:14 CEST by the dblp team
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