Barbara Alicja Jereczek-Fossa

According to our database, Barbara Alicja Jereczek-Fossa authored at least 11 papers between 2013 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Predictive Modelling of Service Building and Users Mobility Related Energy Consumption Through Machine Learning and Graph Based Analysis.

Valerio Bellandi, Stefano Siccardi, Maria Giulia Vincini, Federico Mastroleo, Giulia Marvaso, Barbara Alicja Jereczek-Fossa, Ernesto Damiani

Expert Syst. J. Knowl. Eng., 2026

Bibliometric Analysis of the Literature Regarding MRI-Linac: A Paradigm Shift in Radiation Oncology.

Andrea Emanuele Guerini, Paolo Rondi, Federico Mastroleo, Stefania Volpe, Stefano Riga, Stefania Nici, Marco Luzzara, Giulio Ferrazzi, Marco Krengli, Davide Farina, Luigi Spiazzi, Barbara Alicja Jereczek-Fossa, Marco Ravanelli, Michela Buglione di Monale e Bastia

Data, 2026

2025

Rectal Cancer Segmentation: A Methodical Approach for Generalizable Deep Learning in a Multi-Center Setting.

Jovana Panic, Arianna Defeudis, Lorenzo Vassallo, Stefano Cirillo, Marco Gatti, Roberto Sghedoni, Michele Avanzo, Angelo Vanzulli, Luca Sorrentino, Luca Boldrini, Huong Elena Tran, Giuditta Chiloiro, Giuseppe Roberto D'Agostino, Enrico Menghi, Roberta Fusco, Antonella Petrillo, Vincenza Granata, Martina Mori, Claudio Fiorino, Barbara Alicja Jereczek-Fossa, Marianna Alessandra Gerardi, Serena Dell'Aversana, Antonio Esposito, Daniele Regge, Samanta Rosati, Gabriella Balestra, Valentina Giannini

Int. J. Imaging Syst. Technol., 2025

2024

Mixed Reality Application for Treatment Planning in Radiotherapy.

Sofia Breschi, Veronica Ruozzi, Camilla Porfidi, Maria Giulia Vincini, Mattia Zaffaroni, Federico Mastroleo, Giulia Marvaso, Barbara Alicja Jereczek-Fossa, Alberto Redaelli, Elena De Momi

Proceedings of the Extended Reality - International Conference, 2024

2023

Comparison of automated segmentation techniques for magnetic resonance images of the prostate.

Lars J. Isaksson, Matteo Pepa, Paul E. Summers, Mattia Zaffaroni, Maria Giulia Vincini, Giulia Corrao, Giovanni Mazzola, Marco Rotondi, Giuliana Lo Presti, Sara Raimondi, Sara Gandini, Stefania Volpe, Zaharudin Haron, Sarah Alessi, Paola Pricolo, Francesco Alessandro Mistretta, Stefano Luzzago, Federica Cattani, Gennaro Musi, Ottavio De Cobelli, Marta Cremonesi, Roberto Orecchia, Giulia Marvaso, Giuseppe Petralia, Barbara Alicja Jereczek-Fossa

BMC Medical Imaging, December, 2023

2022

Mixup (Sample Pairing) Can Improve the Performance of Deep Segmentation Networks.

Lars J. Isaksson, Paul E. Summers, Sara Raimondi, Sara Gandini, Abhir Bhalerao, Giulia Marvaso, Giuseppe Petralia, Matteo Pepa, Barbara Alicja Jereczek-Fossa

J. Artif. Intell. Soft Comput. Res., 2022

Application of the nnU-Net for automatic segmentation of lung lesion on CT images, and implication on radiomic models.

Matteo Ferrante, Lisa Rinaldi, Francesca Botta, Xiaobin Hu, Andreas Dolp, Marta Minotti, Francesca De Piano, Gianluigi Funicelli, Stefania Volpe, Federica Bellerba, Paolo De Marco, Sara Raimondi, Stefania Rizzo, Kuangyu Shi, Marta Cremonesi, Barbara Alicja Jereczek-Fossa, Lorenzo Spaggiari, Filippo De Marinis, Roberto Orecchia, Daniela Origgi

CoRR, 2022

2016

Adaptive Mathematical Model of Tumor Response to Radiotherapy Based on CBCT Data.

Antonella Belfatto, Marco Riboldi, Delia Ciardo, Agnese Cecconi, Roberta Lazzari, Barbara Alicja Jereczek-Fossa, Roberto Orecchia, Guido Baroni, Pietro Cerveri

IEEE J. Biomed. Health Informatics, 2016

Modeling the Interplay Between Tumor Volume Regression and Oxygenation in Uterine Cervical Cancer During Radiotherapy Treatment.

Antonella Belfatto, Marco Riboldi, Delia Ciardo, Federica Cattani, Agnese Cecconi, Roberta Lazzari, Barbara Alicja Jereczek-Fossa, Roberto Orecchia, Guido Baroni, Pietro Cerveri

IEEE J. Biomed. Health Informatics, 2016

2014

Modeling cervix cancer growth and response to radiation therapy: A validation study using patient volumetric tumor data.

Antonella Belfatto, Marc Garbey, Marco Riboldi, Delia Ciardo, Agnese Cecconi, Roberta Lazzari, Barbara Alicja Jereczek, Roberto Orecchia, Guido Baroni, Pietro Cerveri

Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014

2013

Exploiting Machine Learning for Predicting Nodal Status in Prostate Cancer Patients.

Mauro Vallati, Berardino De Bari, Roberto Gatta, Michela Buglione, Stefano M. Magrini, Barbara Alicja Jereczek-Fossa, Filippo Bertoni

Proceedings of the Artificial Intelligence Applications and Innovations, 2013