Allegra Conti
Allegra Conti
University of Rome, Tor Vergata
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Citata da
Citata da
Radiomics in breast cancer classification and prediction
A Conti, A Duggento, I Indovina, M Guerrisi, N Toschi
Seminars in cancer biology 72, 238-250, 2021
Ultrasound neuromodulation: Mechanisms and the potential of multimodal stimulation for neuronal function assessment
HAS Kamimura, A Conti, N Toschi, EE Konofagou
Frontiers in physics 8, 150, 2020
Deep computational pathology in breast cancer
A Duggento, A Conti, A Mauriello, M Guerrisi, N Toschi
Seminars in cancer biology 72, 226-237, 2021
Recent advances on ultrasound contrast agents for blood-brain barrier opening with focused ultrasound
A Dauba, A Delalande, HAS Kamimura, A Conti, B Larrat, N Tsapis, ...
Pharmaceutics 12 (11), 1125, 2020
A new safety index based on intrapulse monitoring of ultra-harmonic cavitation during ultrasound-induced blood-brain barrier opening procedures
A Novell, HAS Kamimura, A Cafarelli, M Gerstenmayer, J Flament, ...
Scientific Reports 10 (1), 10088, 2020
Multimodal‐3D imaging based on μMRI and μCT techniques bridges the gap with histology in visualization of the bone regeneration process
R Sinibaldi, A Conti, B Sinjari, S Spadone, R Pecci, M Palombo, ...
Journal of Tissue Engineering and Regenerative Medicine 12 (3), 750-761, 2018
Assessing diffusion in the extra-cellular space of brain tissue by dynamic MRI mapping of contrast agent concentrations
S Mériaux, A Conti, B Larrat
Frontiers in Physics 6, 38, 2018
Cortical and phase rim lesions on 7 T MRI as markers of multiple sclerosis disease progression
CA Treaba, A Conti, EC Klawiter, VT Barletta, E Herranz, A Mehndiratta, ...
Brain communications 3 (3), fcab134, 2021
Empirical and theoretical characterization of the diffusion process of different gadolinium-based nanoparticles within the brain tissue after ultrasound-induced …
A Conti, R Magnin, M Gerstenmayer, N Tsapis, E Dumont, O Tillement, ...
Contrast Media & Molecular Imaging 2019, 2019
Lower functional connectivity in vestibular-limbic networks in individuals with subclinical agoraphobia
I Indovina, A Conti, F Lacquaniti, JP Staab, L Passamonti, N Toschi
Frontiers in Neurology 10, 874, 2019
Fast room temperature very low field-magnetic resonance imaging system compatible with magnetoencephalography environment
A Galante, R Sinibaldi, A Conti, C De Luca, N Catallo, P Sebastiani, ...
PLoS One 10 (12), e0142701, 2015
About the Marty model of blood-brain barrier closure after its disruption using focused ultrasound
A Conti, S Mériaux, B Larrat
Physics in Medicine & Biology 64 (14), 14NT02, 2019
Variability and reproducibility of directed and undirected functional MRI connectomes in the human brain
A Conti, A Duggento, M Guerrisi, L Passamonti, I Indovina, N Toschi
Entropy 21 (7), 661, 2019
On the macromolecular cellulosic network of paper: changes induced by acid hydrolysis studied by NMR diffusometry and relaxometry
A Conti, G Poggi, P Baglioni, F De Luca
Physical Chemistry Chemical Physics 16 (18), 8409-8417, 2014
Two-phase water model in the cellulose network of paper
A Conti, M Palombo, A Parmentier, G Poggi, P Baglioni, F De Luca
Cellulose, 1-9, 2017
Optimized 3D co-registration of ultra-low-field and high-field magnetic resonance images
R Guidotti, R Sinibaldi, C De Luca, A Conti, RJ Ilmoniemi, ...
Plos one 13 (3), e0193890, 2018
Magnetic resonance methods for focused ultrasound-induced blood-brain barrier opening
A Conti, HAS Kamimura, A Novell, A Duggento, N Toschi
Frontiers in Physics 8, 547674, 2020
Software tools for the quantitative evaluation of dental treatment effects from µCT scans
R Sinibaldi, A Conti, R Pecci, G Plotino, R Guidotti, NM Grande, ...
Journal of Biomedical Graphics and Computing 3 (4), 2013
Characterization of the diffusion process of different gadolinium-based nanoparticles within the brain tissue after ultrasound induced blood-brain barrier permeabilization
A Conti, R Magnin, M Gerstenmayer, F Lux, O Tillement, S Mériaux, ...
2016 IEEE International Ultrasonics Symposium (IUS), 1-4, 2016
An interpretable machine learning model to predict cortical atrophy in multiple sclerosis
A Conti, CA Treaba, A Mehndiratta, VT Barletta, C Mainero, N Toschi
Brain Sciences 13 (2), 198, 2023
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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