C. Rossi

发表

DTI of trabecular bone marrow.

Bruno Maraviglia, Silvia Capuani, Fabrizio Fasano, 2005, Magnetic resonance imaging.

Diffusion tensor imaging to study anisotropy in a particular porous system: the trabecular bone network.

B Maraviglia, S. Capuani, B. Maraviglia, 2005, Solid state nuclear magnetic resonance.

Diagnostic performance of machine learning applied to texture analysis-derived features for breast lesion characterisation at automated breast ultrasound: a pilot study

M. Wurnig, A. Boss, T. Frauenfelder, 2019, European Radiology Experimental.

Fully automatic classification of breast MRI background parenchymal enhancement using a transfer learning approach

A. Boss, M. Marcon, N. Berger, 2020, Medicine.

MRI to assess renal structure and function

A. Boss, F. Artunc, C. Rossi, 2011, Current opinion in nephrology and hypertension.

Clinical Functional MRI of the kidneys

A. Boss, C. Rossi, S. Pazahr, 2013, Current Radiology Reports.

Accelerated diffusion-weighted imaging for lymph node assessment in the pelvis applying simultaneous multislice acquisition

A. Boss, M. Marcon, A. Ciritsis, 2018, Medicine.

Renal Arterial Spin Labeling Magnetic Resonance Imaging

A. Becker, C. Rossi, 2016, Nephron.

Investigation of the pulsatility of cerebrospinal fluid using cardiac-gated Intravoxel Incoherent Motion imaging

Cristina Rossi, Anton S. Becker, Andreas Boss, 2018, NeuroImage.

Probing neuronal activation by functional quantitative susceptibility mapping under a visual paradigm: A group level comparison with BOLD fMRI and PET

Klaas Paul Pruessmann, Geoffrey Warnock, Burak Akin, 2016, NeuroImage.

Full PaPer Determination of mammographic breast density using a deep convolutional neural network

M. Marcon, N. Berger, M. Eberhard, 2018 .

The IVIM signal in the healthy cerebral gray matter: A play of spherical and non-spherical components

Cristina Rossi, Gustav Andreisek, Anton S. Becker, 2017, NeuroImage.

Explainable Precision Medicine in Breast MRI: A Combined Radiomics and Deep Learning Approach for the Classification of Contrast Agent Uptake

M. Marcon, N. Berger, A. Ciritsis, 2024, Bioengineering.

Generalizable attention U-Net for segmentation of fibroglandular tissue and background parenchymal enhancement in breast DCE-MRI

M. Marcon, N. Berger, A. Ciritsis, 2023, Insights into Imaging.