BRUSINI, Lorenza
BRUSINI, Lorenza
DIPARTIMENTO DI INGEGNERIA PER LA MEDICINA DI INNOVAZIONE
A Systematic Review on Motor-Imagery Brain-Connectivity-Based Computer Interfaces
2021-01-01 Brusini, L.; Stival, F.; Setti, F.; Menegatti, E.; Menegaz, G.; Storti, S. F.
Ensemble average propagator-based detection of microstructural alterations after stroke.
2016-01-01 Brusini, Lorenza; Obertino, Silvia; Boscolo Galazzo, Ilaria; Zucchelli, Mauro; Kruger, G.; Granziera, C.; Menegaz, Gloria
Explainable Artificial Intelligence for Magnetic Resonance Imaging Aging Brainprints: Grounds and challenges
2022-01-01 Boscolo Galazzo, Ilaria; Cruciani, Federica; Brusini, Lorenza; Salih, Ahmed; Radeva, Petia; Storti, Silvia Francesca; Menegaz, Gloria
Identifying the joint signature of brain atrophy and gene variant scores in Alzheimer’s Disease
2024-01-01 Cruciani, Federica; Aparo, Antonino; Brusini, Lorenza; Combi, Carlo; Storti, Silvia F.; Giugno, Rosalba; Menegaz, Gloria; Boscolo Galazzo, Ilaria
Interpretable Deep Learning as a means for decrypting disease signature in Multiple Sclerosis
2021-01-01 Cruciani, Federica; Brusini, Lorenza; Zucchelli, Mauro; Retuci Pinheiro, Gustavo; Setti, Francesco; Boscolo Galazzo, Ilaria; Deriche, Rachid; Rittner, Leticia; Calabrese, Massimiliano; Menegaz, Gloria
Microstructural MRI Correlates of Cognitive Impairment in Multiple Sclerosis: The Role of Deep Gray Matter
2021-01-01 Pitteri, Marco; Galazzo, Ilaria Boscolo; Brusini, Lorenza; Cruciani, Federica; Dapor, Caterina; Marastoni, Damiano; Menegaz, Gloria; Calabrese, Massimiliano
Monte Carlo Simulations of Water Exchange Through Myelin Wraps: Implications for Diffusion MRI
2019-01-01 Brusini, Lorenza; Menegaz, Gloria; Nilsson, Markus
Morphometric Similarity Patterning of Amyloid-β and Tau Proteins Correlates with Transcriptomics in the Alzheimer’s Disease Continuum
2024-01-01 Brusini, Lorenza; Dolci, Giorgio; Pini, Lorenzo; Cruciani, Federica; Pizzagalli, Fabrizio; Provero, Paolo; Menegaz, Gloria; BOSCOLO GALAZZO, Ilaria
Multimodal MRI accurately identifies amyloid status in unbalanced cohorts in Alzheimer’s disease continuum
2024-01-01 Dolci, Giorgio; Ellis, Charles A.; Cruciani, Federica; Brusini, Lorenza; Abrol, Anees; Galazzo, Ilaria Boscolo; Menegaz, Gloria; Calhoun, Vince D.; Null, Null
On the Viability of Diffusion MRI-Based Microstructural Biomarkers in Ischemic Stroke
2018-01-01 Boscolo Galazzo, Ilaria; Brusini, Lorenza; Obertino, Silvia; Zucchelli, Mauro; Granziera, Cristina; Menegaz, Gloria
Thalamus Segmentation Using Deep Learning with Diffusion MRI Data: An Open Benchmark
2023-01-01 RETUCI PINHEIRO, Gustavo; Brusini, Lorenza; Carmo, Diedre; Prôa, Renata; Abreu, Thays; Appenzeller, Simone; Menegaz, Gloria; Rittner, Leticia
Unraveling the MRI-Based Microstructural Signatures Behind Primary Progressive and Relapsing-Remitting Multiple Sclerosis Phenotypes
2022-01-01 Boscolo Galazzo, Ilaria; Brusini, Lorenza; Akinci, Muge; Cruciani, Federica; Pitteri, Marco; Ziccardi, Stefano; Bajrami, Albulena; Castellaro, Marco; Salih, Ahmed M A; Pizzini, Francesca B; Jovicich, Jorge; Calabrese, Massimiliano; Menegaz, Gloria
What lies beneath? Diffusion EAP-based study of brain tissue microstructure
2016-01-01 Zucchelli, Mauro; Brusini, Lorenza; Andrés C, Méndez; Daducci, Alessandro; Cristina, Granziera; Menegaz, Gloria
XAI-Based Assessment of the AMURA Model for Detecting Amyloid-β and Tau Microstructural Signatures in Alzheimer’s Disease
2024-01-01 Brusini, Lorenza; Cruciani, Federica; Dall'Aglio, Gabriele; Zajac, Tommaso; Boscolo Galazzo, Ilaria; Zucchelli, Mauro; Menegaz, Gloria
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
A Systematic Review on Motor-Imagery Brain-Connectivity-Based Computer Interfaces | 1-gen-2021 | Brusini, L.; Stival, F.; Setti, F.; Menegatti, E.; Menegaz, G.; Storti, S. F. | |
Ensemble average propagator-based detection of microstructural alterations after stroke. | 1-gen-2016 | Brusini, Lorenza; Obertino, Silvia; Boscolo Galazzo, Ilaria; Zucchelli, Mauro; Kruger, G.; Granziera, C.; Menegaz, Gloria | |
Explainable Artificial Intelligence for Magnetic Resonance Imaging Aging Brainprints: Grounds and challenges | 1-gen-2022 | Boscolo Galazzo, Ilaria; Cruciani, Federica; Brusini, Lorenza; Salih, Ahmed; Radeva, Petia; Storti, Silvia Francesca; Menegaz, Gloria | |
Identifying the joint signature of brain atrophy and gene variant scores in Alzheimer’s Disease | 1-gen-2024 | Cruciani, Federica; Aparo, Antonino; Brusini, Lorenza; Combi, Carlo; Storti, Silvia F.; Giugno, Rosalba; Menegaz, Gloria; Boscolo Galazzo, Ilaria | |
Interpretable Deep Learning as a means for decrypting disease signature in Multiple Sclerosis | 1-gen-2021 | Cruciani, Federica; Brusini, Lorenza; Zucchelli, Mauro; Retuci Pinheiro, Gustavo; Setti, Francesco; Boscolo Galazzo, Ilaria; Deriche, Rachid; Rittner, Leticia; Calabrese, Massimiliano; Menegaz, Gloria | |
Microstructural MRI Correlates of Cognitive Impairment in Multiple Sclerosis: The Role of Deep Gray Matter | 1-gen-2021 | Pitteri, Marco; Galazzo, Ilaria Boscolo; Brusini, Lorenza; Cruciani, Federica; Dapor, Caterina; Marastoni, Damiano; Menegaz, Gloria; Calabrese, Massimiliano | |
Monte Carlo Simulations of Water Exchange Through Myelin Wraps: Implications for Diffusion MRI | 1-gen-2019 | Brusini, Lorenza; Menegaz, Gloria; Nilsson, Markus | |
Morphometric Similarity Patterning of Amyloid-β and Tau Proteins Correlates with Transcriptomics in the Alzheimer’s Disease Continuum | 1-gen-2024 | Brusini, Lorenza; Dolci, Giorgio; Pini, Lorenzo; Cruciani, Federica; Pizzagalli, Fabrizio; Provero, Paolo; Menegaz, Gloria; BOSCOLO GALAZZO, Ilaria | |
Multimodal MRI accurately identifies amyloid status in unbalanced cohorts in Alzheimer’s disease continuum | 1-gen-2024 | Dolci, Giorgio; Ellis, Charles A.; Cruciani, Federica; Brusini, Lorenza; Abrol, Anees; Galazzo, Ilaria Boscolo; Menegaz, Gloria; Calhoun, Vince D.; Null, Null | |
On the Viability of Diffusion MRI-Based Microstructural Biomarkers in Ischemic Stroke | 1-gen-2018 | Boscolo Galazzo, Ilaria; Brusini, Lorenza; Obertino, Silvia; Zucchelli, Mauro; Granziera, Cristina; Menegaz, Gloria | |
Thalamus Segmentation Using Deep Learning with Diffusion MRI Data: An Open Benchmark | 1-gen-2023 | RETUCI PINHEIRO, Gustavo; Brusini, Lorenza; Carmo, Diedre; Prôa, Renata; Abreu, Thays; Appenzeller, Simone; Menegaz, Gloria; Rittner, Leticia | |
Unraveling the MRI-Based Microstructural Signatures Behind Primary Progressive and Relapsing-Remitting Multiple Sclerosis Phenotypes | 1-gen-2022 | Boscolo Galazzo, Ilaria; Brusini, Lorenza; Akinci, Muge; Cruciani, Federica; Pitteri, Marco; Ziccardi, Stefano; Bajrami, Albulena; Castellaro, Marco; Salih, Ahmed M A; Pizzini, Francesca B; Jovicich, Jorge; Calabrese, Massimiliano; Menegaz, Gloria | |
What lies beneath? Diffusion EAP-based study of brain tissue microstructure | 1-gen-2016 | Zucchelli, Mauro; Brusini, Lorenza; Andrés C, Méndez; Daducci, Alessandro; Cristina, Granziera; Menegaz, Gloria | |
XAI-Based Assessment of the AMURA Model for Detecting Amyloid-β and Tau Microstructural Signatures in Alzheimer’s Disease | 1-gen-2024 | Brusini, Lorenza; Cruciani, Federica; Dall'Aglio, Gabriele; Zajac, Tommaso; Boscolo Galazzo, Ilaria; Zucchelli, Mauro; Menegaz, Gloria |