| A Cahn‐Hilliard–type equation with application to tumor growth dynamics A Agosti, PF Antonietti, P Ciarletta, M Grasselli, M Verani Mathematical Methods in the Applied Sciences 40 (18), 7598-7626, 2017 | 74 | 2017 |
| A computational framework for the personalized clinical treatment of glioblastoma multiforme A Agosti, C Cattaneo, C Giverso, D Ambrosi, P Ciarletta ZAMM‐Journal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte …, 2018 | 49 | 2018 |
| A personalized mathematical tool for neuro-oncology: A clinical case study A Agosti, C Giverso, E Faggiano, A Stamm, P Ciarletta International Journal of Non-Linear Mechanics 107, 170-181, 2018 | 35 | 2018 |
| Analysis of a model for precipitation and dissolution coupled with a Darcy flux A Agosti, L Formaggia, A Scotti Journal of Mathematical Analysis and Applications 431 (2), 752-781, 2015 | 32 | 2015 |
| In silico mathematical modelling for glioblastoma: A critical review and a patient-specific case J Falco, A Agosti, IG Vetrano, A Bizzi, F Restelli, M Broggi, M Schiariti, ... Journal of clinical medicine 10 (10), 2169, 2021 | 24 | 2021 |
| The constitutive relations of initially stressed incompressible Mooney-Rivlin materials A Agosti, AL Gower, P Ciarletta Mechanics Research Communications 93, 4-10, 2018 | 19 | 2018 |
| Deep learning for automatic segmentation of thigh and leg muscles A Agosti, E Shaqiri, M Paoletti, F Solazzo, N Bergsland, G Colelli, G Savini, ... Magnetic Resonance Materials in Physics, Biology and Medicine, 1-17, 2022 | 16 | 2022 |
| Learning patient‐specific parameters for a diffuse interface glioblastoma model from neuroimaging data A Agosti, P Ciarletta, H Garcke, M Hinze Mathematical Methods in the Applied Sciences 43 (15), 8945-8979, 2020 | 16 | 2020 |
| Modelling cancer cell budding in-vitro as a self-organised, non-equilibrium growth process A Agosti, S Marchesi, G Scita, P Ciarletta Journal of Theoretical Biology 492, 110203, 2020 | 14* | 2020 |
| A numerical procedure for geochemical compaction in the presence of discontinuous reactions A Agosti, B Giovanardi, L Formaggia, A Scotti Advances in water resources 94, 332-344, 2016 | 14* | 2016 |
| On the existence of elastic minimizers for initially stressed materials D Riccobelli, A Agosti, P Ciarletta Philosophical Transactions of the Royal Society A 377 (2144), 20180074, 2019 | 13 | 2019 |
| Quantification of pulmonary involvement in COVID-19 pneumonia by means of a cascade of two U-nets: training and assessment on multiple datasets using different annotation criteria F Lizzi, A Agosti, F Brero, RF Cabini, ME Fantacci, S Figini, A Lascialfari, ... International journal of computer assisted radiology and surgery, 1-9, 2022 | 12 | 2022 |
| A Cahn-Hilliard model coupled to viscoelasticity with large deformations A Agosti, P Colli, H Garcke, E Rocca arXiv preprint arXiv:2204.04951, 2022 | 9 | 2022 |
| Discontinuous Galerkin finite element discretization of a degenerate Cahn–Hilliard equation with a single-well potential A Agosti Calcolo 56 (2), 14, 2019 | 8* | 2019 |
| An image-informed Cahn–Hilliard Keller–Segel multiphase field model for tumor growth with angiogenesis A Agosti, AG Lucifero, S Luzzi Applied Mathematics and Computation 445, 127834, 2023 | 6 | 2023 |
| Strain energy storage and dissipation rate in active cell mechanics A Agosti, D Ambrosi, S Turzi Physical Review E 97 (5), 052410, 2018 | 5 | 2018 |
| Coupling solid and fluid stresses with brain tumour growth and white matter tract deformations in a neuroimaging-informed model G Lucci, A Agosti, P Ciarletta, C Giverso Biomechanics and Modeling in Mechanobiology 21 (5), 1483-1509, 2022 | 4 | 2022 |
| Error analysis of a finite element approximation of a degenerate Cahn-Hilliard equation A Agosti ESAIM: Mathematical Modelling and Numerical Analysis 52 (3), 827-867, 2018 | 3 | 2018 |
| A Cahn–Hilliard phase field model coupled to an Allen–Cahn model of viscoelasticity at large strains A Agosti, P Colli, H Garcke, E Rocca Nonlinearity 36 (12), 6589, 2023 | 2 | 2023 |
| Deep Anatomical Federated Network (Dafne): an open client/server framework for the continuous collaborative improvement of deep-learning-based medical image segmentation F Santini, J Wasserthal, A Agosti, X Deligianni, KR Keene, HE Kan, ... arXiv preprint arXiv:2302.06352, 2023 | 2 | 2023 |
