A new MOX Report entitled “DISARM++: Beyond scanner-free harmonization” by Caldera, L.; Cavinato, L.; Cirone, A.; Cama, I.; Garbarino, S.; Lodi, R.; Tagliavini, F.; Nigri, A.; De Francesco, S.; Cappozzo, A.; Piana, M.; Ieva, F.; has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/20-2026.pdf Abstract: Harmonization of […]
Daily Archives: February 24, 2026
A new MOX Report entitled “Scanner-agnostic MRI harmonization via SSIM-guided disentaglement” by Caldera, L.; Cavinato, L.; Ieva, F. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/19-2026.pdf Abstract: The variability introduced by differences in MRI scanner models, acquisition protocols, and imaging sites hinders consistent analysis and generalizability […]
A new MOX Report entitled “MAGIC-Flow: multiscale adaptive conditional flows for generation and interpretable classification” by Caldera, L.; Bottacini, G.; Cavinato, L. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/17-2026.pdf Abstract: Generative modeling has emerged as a powerful paradigm for representation learning, but its direct applicability […]
A new MOX Report entitled “MAGIC-Flow: multiscale adaptive conditional flows for generation and interpretable classification” by Caldera, L.; Bottacini, G.; Cavinato, L. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/17-2026.pdf Abstract: Generative modeling has emerged as a powerful paradigm for representation learning, but its direct applicability […]
A new MOX Report entitled “MAGIC-Flow: multiscale adaptive conditional flows for generation and interpretable classification” by Caldera, L.; Bottacini, G.; Cavinato, L. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/17-2026.pdf Abstract: Generative modeling has emerged as a powerful paradigm for representation learning, but its direct applicability […]
A new MOX Report entitled “MAGIC-Flow: multiscale adaptive conditional flows for generation and interpretable classification” by Caldera, L.; Bottacini, G.; Cavinato, L. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/17-2026.pdf Abstract: Generative modeling has emerged as a powerful paradigm for representation learning, but its direct applicability […]