Sfoglia per Serie
Comparison of Histogram-based Textural Features between Cancerous and Normal Prostatic Tissue in Multiparametric Magnetic Resonance Images
2020-01-01 De Santi B.; Salvi M.; Giannini V.; Meiburger K.M.; Marzola F.; Russo F.; Bosco M.; Molinari F.
A Convolutional Neural Network based system for Colorectal cancer segmentation on MRI images
2020-01-01 Panic J.; Defeudis A.; Mazzetti S.; Rosati S.; Giannetto G.; Vassallo L.; Regge D.; Balestra G.; Giannini V.
An innovative radiomics approach to predict response to chemotherapy of liver metastases based on CT images
2020-01-01 Giannini V.; Defeudis A.; Rosati S.; Cappello G.; Mazzetti S.; Panic J.; Regge D.; Balestra G.
A mathematical model for the evaluation of iron transport across the blood-cerebrospinal fluid barrier in neurodegenerative diseases
2020-01-01 Ficiara, E; D'Agata, F; Ansari, S; Boschi, S; Rainero, I; Priano, L; Cattaldo, S; Abollino, O; Cavalli, R; Guiot, C
Neural Transformers for Intraductal Papillary Mucosal Neoplasms (IPMN) Classification in MRI images
2022-01-01 Federica Proietto Salanitri; Giovanni Bellitto; Simone Palazzo; Ismail Irmakci; Michael B. Wallace; Candice W. Bolan; Megan Engels; Sanne Hoogenboom; Marco Aldinucci; Ulas Bagci; Daniela Giordano; Concetto Spampinato
TwinLiverNet: Predicting TACE Treatment Outcome from CT scans for Hepatocellular Carcinoma using Deep Capsule Networks
2021-01-01 Pino C.; Vecchio G.; Fronda M.; Calandri M.; Aldinucci M.; Spampinato C.
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
Comparison of Histogram-based Textural Features between Cancerous and Normal Prostatic Tissue in Multiparametric Magnetic Resonance Images | 2020 | De Santi B.; Salvi M.; Giannini V.; Meiburger K.M.; Marzola F.; Russo F.; Bosco M.; Molinari F. | |
A Convolutional Neural Network based system for Colorectal cancer segmentation on MRI images | 2020 | Panic J.; Defeudis A.; Mazzetti S.; Rosati S.; Giannetto G.; Vassallo L.; Regge D.; Balestra G.; Giannini V. | |
An innovative radiomics approach to predict response to chemotherapy of liver metastases based on CT images | 2020 | Giannini V.; Defeudis A.; Rosati S.; Cappello G.; Mazzetti S.; Panic J.; Regge D.; Balestra G. | |
A mathematical model for the evaluation of iron transport across the blood-cerebrospinal fluid barrier in neurodegenerative diseases | 2020 | Ficiara, E; D'Agata, F; Ansari, S; Boschi, S; Rainero, I; Priano, L; Cattaldo, S; Abollino, O; Cavalli, R; Guiot, C | |
Neural Transformers for Intraductal Papillary Mucosal Neoplasms (IPMN) Classification in MRI images | 2022 | Federica Proietto Salanitri; Giovanni Bellitto; Simone Palazzo; Ismail Irmakci; Michael B. Wallace; Candice W. Bolan; Megan Engels; Sanne Hoogenboom; Marco Aldinucci; Ulas Bagci; Daniela Giordano; Concetto Spampinato | |
TwinLiverNet: Predicting TACE Treatment Outcome from CT scans for Hepatocellular Carcinoma using Deep Capsule Networks | 2021 | Pino C.; Vecchio G.; Fronda M.; Calandri M.; Aldinucci M.; Spampinato C. |
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