PANIC, JOVANA
PANIC, JOVANA
SCIENZE CHIRURGICHE
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.
A fully automatic deep learning algorithm to segment rectal Cancer on MR images: a multi-center study
2022-01-01 Panic, Jovana; Defeudis, Arianna; Mazzetti, Simone; Rosati, Samanta; Giannetto, Giuliana; Micilotta, Monica; Vassallo, Lorenzo; Gatti, Marco; Regge, Daniele; Balestra, Gabriella; Giannini, Valentina
A Fully Automatic Multi-Vendor AI-System To Segment And Predict Resistance To Treatment Of Rectal Cancer On MRI
2024-01-01 Panic J.; Defeudis A.; Vassallo L.; Cirillo S.; Gatti M.; Esposito A.; Dell'aversana S.; Siena S.; Vanzulli A.; Regge D.; Rosati S.; 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.
Comparison between different approaches for the creation of the training set: how clustering and dimensionality impact the performance of a Deep Learning model
2023-01-01 Panic J.; Defeudis A.; Regge D.; Balestra G.; Rosati S.; Giannini V.
Deep learning model for automatic prostate segmentation on bicentric T2w images with and without endorectal coil
2021-01-01 Barra, Davide; Nicoletti, Giulia; Defeudis, Arianna; Mazzetti, Simone; Panic, Jovana; Gatti, Marco; Faletti, Riccardo; Russo, Filippo; Regge, Daniele; Giannini, Valentina
Deep learning to segment liver metastases on CT images: Impact on a radiomics method to predict response to chemotherapy
2020-01-01 Giannini V.; Defeudis A.; Rosati S.; Cappello G.; Vassallo L.; Mazzetti S.; Panic J.; Regge D.; Balestra G.
MRI-based radiomics to predict response in locally advanced rectal cancer: comparison of manual and automatic segmentation on external validation in a multicentre study
2022-01-01 Defeudis, Arianna; Mazzetti, Simone; Panic, Jovana; Micilotta, Monica; Vassallo, Lorenzo; Giannetto, Giuliana; Gatti, Marco; Faletti, Riccardo; Cirillo, Stefano; Regge, Daniele; Giannini, Valentina
Normalization strategies in multi-center radiomics abdominal MRI: systematic review and meta-analyses
2023-01-01 Panic, Jovana; Defeudis, Arianna; Balestra, Gabriella; Giannini, Valentina; Rosati, Samanta
Radiomics and Magnetic Resonance Imaging of Rectal Cancer: From Engineering to Clinical Practice
2021-01-01 Coppola, Francesca; Giannini, Valentina; Gabelloni, Michela; Panic, Jovana; Defeudis, Arianna; Lo Monaco, Silvia; Cattabriga, Arrigo; Cocozza, Maria Adriana; Pastore, Luigi Vincenzo; Polici, Michela; Caruso, Damiano; Laghi, Andrea; Regge, Daniele; Neri, Emanuele; Golfieri, Rita; Faggioni, Lorenzo
Virtual biopsy in abdominal pathology: where do we stand?
2023-01-01 Defeudis, Arianna; Panic, Jovana; Nicoletti, Giulia; Mazzetti, Simone; Giannini, Valentina; Regge, Daniele
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| 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. | |
| A fully automatic deep learning algorithm to segment rectal Cancer on MR images: a multi-center study | 2022 | Panic, Jovana; Defeudis, Arianna; Mazzetti, Simone; Rosati, Samanta; Giannetto, Giuliana; Micilotta, Monica; Vassallo, Lorenzo; Gatti, Marco; Regge, Daniele; Balestra, Gabriella; Giannini, Valentina | |
| A Fully Automatic Multi-Vendor AI-System To Segment And Predict Resistance To Treatment Of Rectal Cancer On MRI | 2024 | Panic J.; Defeudis A.; Vassallo L.; Cirillo S.; Gatti M.; Esposito A.; Dell'aversana S.; Siena S.; Vanzulli A.; Regge D.; Rosati S.; 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. | |
| Comparison between different approaches for the creation of the training set: how clustering and dimensionality impact the performance of a Deep Learning model | 2023 | Panic J.; Defeudis A.; Regge D.; Balestra G.; Rosati S.; Giannini V. | |
| Deep learning model for automatic prostate segmentation on bicentric T2w images with and without endorectal coil | 2021 | Barra, Davide; Nicoletti, Giulia; Defeudis, Arianna; Mazzetti, Simone; Panic, Jovana; Gatti, Marco; Faletti, Riccardo; Russo, Filippo; Regge, Daniele; Giannini, Valentina | |
| Deep learning to segment liver metastases on CT images: Impact on a radiomics method to predict response to chemotherapy | 2020 | Giannini V.; Defeudis A.; Rosati S.; Cappello G.; Vassallo L.; Mazzetti S.; Panic J.; Regge D.; Balestra G. | |
| MRI-based radiomics to predict response in locally advanced rectal cancer: comparison of manual and automatic segmentation on external validation in a multicentre study | 2022 | Defeudis, Arianna; Mazzetti, Simone; Panic, Jovana; Micilotta, Monica; Vassallo, Lorenzo; Giannetto, Giuliana; Gatti, Marco; Faletti, Riccardo; Cirillo, Stefano; Regge, Daniele; Giannini, Valentina | |
| Normalization strategies in multi-center radiomics abdominal MRI: systematic review and meta-analyses | 2023 | Panic, Jovana; Defeudis, Arianna; Balestra, Gabriella; Giannini, Valentina; Rosati, Samanta | |
| Radiomics and Magnetic Resonance Imaging of Rectal Cancer: From Engineering to Clinical Practice | 2021 | Coppola, Francesca; Giannini, Valentina; Gabelloni, Michela; Panic, Jovana; Defeudis, Arianna; Lo Monaco, Silvia; Cattabriga, Arrigo; Cocozza, Maria Adriana; Pastore, Luigi Vincenzo; Polici, Michela; Caruso, Damiano; Laghi, Andrea; Regge, Daniele; Neri, Emanuele; Golfieri, Rita; Faggioni, Lorenzo | |
| Virtual biopsy in abdominal pathology: where do we stand? | 2023 | Defeudis, Arianna; Panic, Jovana; Nicoletti, Giulia; Mazzetti, Simone; Giannini, Valentina; Regge, Daniele |