PANIC, JOVANA

PANIC, JOVANA  

Dipartimento di Ingegneria Meccanica e Aerospaziale  

052011  

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Risultati 1 - 11 di 11 (tempo di esecuzione: 0.013 secondi).
Citazione Data di pubblicazione Autori File
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.pdf09175804.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.pdfManuscriptFinal.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.pdfA_fully_automatic_deep_learning_algorithm_to_segment_rectal_Cancer_on_MR_images_a_multi-center_study.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.pdf09176627.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.pdf09137173.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.pdfComparison_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.pdfBarra_EMBC2021.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.pdf09137150.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.pdfRosati-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
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