SANTACESARIA, MATTEO
SANTACESARIA, MATTEO
100021 - Dipartimento di Matematica
Mostra
records
Risultati 1 - 5 di 5 (tempo di esecuzione: 0.008 secondi).
Assessing the Use of Diffusion Models for Motion Artifact Correction in Brain MRI
2025-01-01 Angella, Paolo; Pastore, Vito Paolo; Santacesaria, Matteo
In Domain Transfer Learning for Prostate MRI Segmentation
2024-01-01 Touijer, L.; Santacesaria, M.; Odone, F.; Pastore, V. P.
Is In-Domain Data Beneficial in Transfer Learning for Landmarks Detection in X-Ray Images?
2024-01-01 Di Via, R.; Santacesaria, M.; Odone, F.; Pastore, V. P.
Learning the optimal Tikhonov regularizer for inverse problems
2021-01-01 Alberti, G.; Lassas, M.; De Vito, E.; Ratti, L.; Santacesaria, M.
TomoSelfDEQ: Self-supervised Deep Equilibrium Learning for Sparse-Angle CT Reconstruction
2025-01-01 Bubba, T. A.; Santacesaria, M.; Sebastiani, A.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Assessing the Use of Diffusion Models for Motion Artifact Correction in Brain MRI | 1-gen-2025 | Angella, Paolo; Pastore, Vito Paolo; Santacesaria, Matteo | |
| In Domain Transfer Learning for Prostate MRI Segmentation | 1-gen-2024 | Touijer, L.; Santacesaria, M.; Odone, F.; Pastore, V. P. | |
| Is In-Domain Data Beneficial in Transfer Learning for Landmarks Detection in X-Ray Images? | 1-gen-2024 | Di Via, R.; Santacesaria, M.; Odone, F.; Pastore, V. P. | |
| Learning the optimal Tikhonov regularizer for inverse problems | 1-gen-2021 | Alberti, G.; Lassas, M.; De Vito, E.; Ratti, L.; Santacesaria, M. | |
| TomoSelfDEQ: Self-supervised Deep Equilibrium Learning for Sparse-Angle CT Reconstruction | 1-gen-2025 | Bubba, T. A.; Santacesaria, M.; Sebastiani, A. |