Archivio Istituzionale della RicercaPANIC, JOVANA
PANIC, JOVANA
Dipartimento di Ingegneria Meccanica e Aerospaziale
052011
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Risultati 1 - 15 di 15 (tempo di esecuzione: 0.026 secondi).
How to Design, Implement, and Validate MRI-based Artificial Intelligence Systems for Oncological applications
2024 Panic, Jovana
Could normalization improve robustness of abdominal MRI radiomic features?
2023 Giannini, Valentina; Panic, Jovana; Regge, Daniele; Balestra, Gabriella; Rosati, Samanta
Normalization strategies in multi-center radiomics abdominal MRI: systematic review and meta-analyses
2023 Panic, Jovana; Defeudis, Arianna; Balestra, Gabriella; Giannini, Valentina; Rosati, Samanta
Virtual biopsy in abdominal pathology: where do we stand?
2023 Defeudis, Arianna; Panic, Jovana; Nicoletti, Giulia; Mazzetti, Simone; Giannini, Valentina; Regge, Daniele
A Deep Learning model to segment liver metastases on CT images acquired at different time-points during chemotherapy
2022 Defeudis, Arianna; Panic, Jovana; Guzzinati, Walter; Pusceddu, Laura; Vassallo, Lorenzo; Regge, Daniele; Giannini, Valentina
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
Impact of network parameters on a U-Net based system for rectal cancer segmentation on MR images
2022 Panic, Jovana; Giannini, Valentina; Defeudis, Arianna; Regge, Daniele; Balestra, Gabriella; Rosati, Samanta
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
Comparison of radiomics approaches to predict resistance to 1st line chemotherapy in liver metastatic colorectal cancer
2021 Defeudis, A; Cefaloni, L; Giannetto, G; Cappello, G; Rizzetto, F; Panic, J; Barra, D; Nicoletti, G; Mazzetti, S; Vanzulli, A; Regge, D; Giannini, V
Deep learning model for automatic prostate segmentation on bicentric T2w images with and without endorectal coil
2021 Barra, D; Nicoletti, G; Defeudis, A; Mazzetti, S; Panic, J; Gatti, M; Faletti, R; Russo, F; Regge, D; Giannini, V
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; Adriana Cocozza, Maria; Vincenzo Pastore, Luigi; Polici, Michela; Caruso, Damiano; Laghi, Andrea; Regge, Daniele; Neri, Emanuele; Golfieri, Rita; Faggioni, Lorenzo
A Convolutional Neural Network based system for Colorectal cancer segmentation on MRI images
2020 Panic, Jovana; Defeudis, Arianna; Mazzetti, Simone; Rosati, Samanta; Giannetto, Giuliana; Vassallo, Lorenzo; Regge, Daniele; Balestra, Gabriella; Giannini, Valentina
An innovative radiomics approach to predict response to chemotherapy of liver metastases based on CT images
2020 Giannini, Valentina; Defeudis, Arianna; Rosati, Samanta; Cappello, Giovanni; Mazzetti, Simone; Panic, Jovana; Regge, Daniele; Balestra, Gabriella
Comparison of different classifiers to recognize active bone marrow from CT images
2020 Rosati, S.; Franco, P.; Fiandra, C.; Arcadipane, F.; Silvetti, P.; Gallio, E.; Panic, J.; Ricardi, U.; Balestra, G.
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.
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| How to Design, Implement, and Validate MRI-based Artificial Intelligence Systems for Oncological applications / Panic, Jovana. - (2024 Mar 11), pp. 1-147. | 11-mar-2024 | PANIC, JOVANA | ThesisPANIC_rev.pdf; Abstract.pdf |
| Could normalization improve robustness of abdominal MRI radiomic features? / Giannini, Valentina; Panic, Jovana; Regge, Daniele; Balestra, Gabriella; Rosati, Samanta. - In: BIOMEDICAL PHYSICS & ENGINEERING EXPRESS. - ISSN 2057-1976. - ELETTRONICO. - 9:5(2023). [10.1088/2057-1976/ace4ce] | 1-gen-2023 | Valentina GianniniJovana PanicGabriella BalestraSamanta Rosati + | 2023_Could normalization improve robustness of abdominal MRI radiomic features.pdf |
| Normalization strategies in multi-center radiomics abdominal MRI: systematic review and meta-analyses / Panic, Jovana; Defeudis, Arianna; Balestra, Gabriella; Giannini, Valentina; Rosati, Samanta. - In: IEEE OPEN JOURNAL OF ENGINEERING IN MEDICINE AND BIOLOGY. - ISSN 2644-1276. - ELETTRONICO. - 4:(2023), pp. 67-76. [10.1109/OJEMB.2023.3271455] | 1-gen-2023 | Panic, JovanaBalestra, GabriellaGiannini, ValentinaRosati, Samanta + | Normalization_strategies_in_multi-center_radiomics_abdominal_MRI_systematic_review_and_meta-analyses.pdf; Panic-Normalization.pdf |
| Virtual biopsy in abdominal pathology: where do we stand? / Defeudis, Arianna; Panic, Jovana; Nicoletti, Giulia; Mazzetti, Simone; Giannini, Valentina; Regge, Daniele. - In: BJR|OPEN. - ISSN 2513-9878. - ELETTRONICO. - 5:1(2023). [10.1259/bjro.20220055] | 1-gen-2023 | Panic, JovanaNicoletti, GiuliaMazzetti, SimoneGiannini, Valentina + | bjro.20220055 (2).pdf |
| A Deep Learning model to segment liver metastases on CT images acquired at different time-points during chemotherapy / Defeudis, Arianna; Panic, Jovana; Guzzinati, Walter; Pusceddu, Laura; Vassallo, Lorenzo; Regge, Daniele; Giannini, Valentina. - ELETTRONICO. - (2022), pp. 1-5. (Intervento presentato al convegno 17th IEEE International Symposium on Medical Measurements and Applications (IEEE MeMeA 2022) tenutosi a Giardini Naxos - Taormina, Messina (Italy) nel 22 June - 24 June 2022) [10.1109/MeMeA54994.2022.9856589]. | 1-gen-2022 | Jovana PanicValentina Giannini + | A_Deep_Learning_model_to_segment_liver_metastases_on_CT_images_acquired_at_different_time-points_during_chemotherapy.pdf; ManuscriptFinal.pdf |
| A fully automatic deep learning algorithm to segment Rectal Cancer on MR images: a multi-center study / Panic, Jovana; Defeudis, Arianna; Mazzetti, Simone; Rosati, Samanta; Giannetto, Giuliana; Micilotta, Monica; Vassallo, Lorenzo; Gatti, Marco; Regge, Daniele; Balestra, Gabriella; Giannini, Valentina. - ELETTRONICO. - (2022), pp. 5066-5069. (Intervento presentato al convegno 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'22) tenutosi a Glasgow, United Kingdom nel 11-15 July, 2022) [10.1109/EMBC48229.2022.9871326]. | 1-gen-2022 | Jovana PanicSamanta RosatiGabriella BalestraValentina Giannini + | Manusctipt_DEF_2022_FINAL.pdf; A_fully_automatic_deep_learning_algorithm_to_segment_rectal_Cancer_on_MR_images_a_multi-center_study.pdf |
| Impact of network parameters on a U-Net based system for rectal cancer segmentation on MR images / Panic, Jovana; Giannini, Valentina; Defeudis, Arianna; Regge, Daniele; Balestra, Gabriella; Rosati, Samanta. - ELETTRONICO. - (2022), pp. 1-6. (Intervento presentato al convegno 2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA) tenutosi a Giardini Naxos - Taormina, Italy nel 22-24 June, 2022) [10.1109/MeMeA54994.2022.9856529]. | 1-gen-2022 | Jovana PanicValentina GianniniGabriella BalestraSamanta Rosati + | FinalManuscript.pdf; Rosati-Impact.pdf |
| MRI-based radiomics to predict response in locally advanced rectal cancer: comparison of manual and automatic segmentation on external validation in a multicentre study / Defeudis, Arianna; Mazzetti, Simone; Panic, Jovana; Micilotta, Monica; Vassallo, Lorenzo; Giannetto, Giuliana; Gatti, Marco; Faletti, Riccardo; Cirillo, Stefano; Regge, Daniele; Giannini, Valentina. - In: EUROPEAN RADIOLOGY EXPERIMENTAL. - ISSN 2509-9280. - (2022). [10.1186/s41747-022-00272-2] | 1-gen-2022 | Mazzetti SimonePanic JovanaGiannini Valentina + | MRI-based radiomics to predict response in locally advanced rectal cancer.pdf |
| Comparison of radiomics approaches to predict resistance to 1st line chemotherapy in liver metastatic colorectal cancer / Defeudis, A; Cefaloni, L; Giannetto, G; Cappello, G; Rizzetto, F; Panic, J; Barra, D; Nicoletti, G; Mazzetti, S; Vanzulli, A; Regge, D; Giannini, V. - ELETTRONICO. - 2021:(2021), pp. 3305-3308. (Intervento presentato al convegno 2021 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) tenutosi a Mexico nel 1-5 Nov. 2021) [10.1109/embc46164.2021.9630316]. | 1-gen-2021 | Panic JNicoletti GGiannini V + | Defeudis_EMBC21.pdf; Comparison_of_radiomics_approaches_to_predict_resistance_to_1st_line_chemotherapy_in_liver_metastatic_colorectal_cancer.pdf |
| Deep learning model for automatic prostate segmentation on bicentric T2w images with and without endorectal coil / Barra, D; Nicoletti, G; Defeudis, A; Mazzetti, S; Panic, J; Gatti, M; Faletti, R; Russo, F; Regge, D; Giannini, V. - ELETTRONICO. - 2021:(2021), pp. 3370-3373. (Intervento presentato al convegno 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) tenutosi a Mexico nel 1-5 Nov. 2021) [10.1109/embc46164.2021.9630792]. | 1-gen-2021 | Nicoletti GPanic JGiannini V + | Deep_learning_model_for_automatic_prostate_segmentation_on_bicentric_T2w_images_with_and_without_endorectal_coil.pdf; Barra_EMBC2021.pdf |
| Radiomics and Magnetic Resonance Imaging of Rectal Cancer: From Engineering to Clinical Practice / Coppola, Francesca; Giannini, Valentina; Gabelloni, Michela; Panic, Jovana; Defeudis, Arianna; Lo Monaco, Silvia; Cattabriga, Arrigo; Adriana Cocozza, Maria; Vincenzo Pastore, Luigi; Polici, Michela; Caruso, Damiano; Laghi, Andrea; Regge, Daniele; Neri, Emanuele; Golfieri, Rita; Faggioni, Lorenzo. - In: DIAGNOSTICS. - ISSN 2075-4418. - 11:(2021). [10.3390/diagnostics11050756] | 1-gen-2021 | Valentina GianniniJovana Panic + | Radiomics and Magnetic Resonance Imaging of Rectal Cancer_ From Engineering to Clinical Practice _ Enhanced Reader.pdf |
| A Convolutional Neural Network based system for Colorectal cancer segmentation on MRI images / Panic, Jovana; Defeudis, Arianna; Mazzetti, Simone; Rosati, Samanta; Giannetto, Giuliana; Vassallo, Lorenzo; Regge, Daniele; Balestra, Gabriella; Giannini, Valentina. - ELETTRONICO. - (2020), pp. 1675-1678. (Intervento presentato al convegno 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) tenutosi a Montreal, QC, Canada nel 20-24 July 2020) [10.1109/EMBC44109.2020.9175804]. | 1-gen-2020 | Panic, JovanaRosati, SamantaBalestra, GabriellaGiannini, Valentina + | Panic_EMBC2020.pdf; 09175804.pdf |
| An innovative radiomics approach to predict response to chemotherapy of liver metastases based on CT images / Giannini, Valentina; Defeudis, Arianna; Rosati, Samanta; Cappello, Giovanni; Mazzetti, Simone; Panic, Jovana; Regge, Daniele; Balestra, Gabriella. - ELETTRONICO. - (2020), pp. 1339-1342. (Intervento presentato al convegno 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) tenutosi a Montreal, QC, Canada nel 20-24 July 2020) [10.1109/EMBC44109.2020.9176627]. | 1-gen-2020 | Giannini, ValentinaRosati, SamantaPanic, JovanaBalestra, Gabriella + | Giannini_EMBC2020_final.pdf; 09176627.pdf |
| Comparison of different classifiers to recognize active bone marrow from CT images / Rosati, S.; Franco, P.; Fiandra, C.; Arcadipane, F.; Silvetti, P.; Gallio, E.; Panic, J.; Ricardi, U.; Balestra, G.. - ELETTRONICO. - (2020), pp. 1-5. (Intervento presentato al convegno 15th IEEE International Symposium on Medical Measurements and Applications, MeMeA 2020 tenutosi a Bari (Italy) nel 1 June-1 July 2020) [10.1109/MeMeA49120.2020.9137173]. | 1-gen-2020 | Rosati S.Panic J.Balestra G. + | bone marrow classifiers final.pdf; 09137173.pdf |
| Deep learning to segment liver metastases on CT images: Impact on a radiomics method to predict response to chemotherapy / Giannini, V.; Defeudis, A.; Rosati, S.; Cappello, G.; Vassallo, L.; Mazzetti, S.; Panic, J.; Regge, D.; Balestra, G.. - ELETTRONICO. - (2020), pp. 1-5. (Intervento presentato al convegno 15th IEEE International Symposium on Medical Measurements and Applications, MeMeA 2020 tenutosi a Bari (Italy) nel 1 June-1 July 2020) [10.1109/MeMeA49120.2020.9137150]. | 1-gen-2020 | Giannini V.Rosati S.Panic J.Balestra G. + | Giannini_Memea2020_final.pdf; 09137150.pdf |