E. De Bernardi

发表

Motion-Tracking Hardware and Advanced Applications in PET and PET/CT.

V. Bettinardi, M. Gilardi, L. Presotto, 2013, PET clinics.

PET textural features stability and pattern discrimination power for radiomics analysis: An "ad-hoc" phantoms study.

E De Bernardi, V Bettinardi, C Fiorino, 2018, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.

Reconstruction of uptake patterns in PET: The influence of regularizing prior

V. Bettinardi, M. Gilardi, L. Gianolli, 2017, Medical physics.

The use of zeolites to generate PET phantoms for the validation of quantification strategies in oncology.

Giuseppe Baselli, Chiara Soffientini, Felicia Zito, 2012, Medical physics.

Resolution Recovery in PET During AWOSEM Reconstruction: A Performance Evaluation Study

Giuseppe Baselli, Felicia Zito, Elisabetta De Bernardi, 2007, IEEE Transactions on Nuclear Science.

Proposal of a 4D ML reconstruction strategy for PET-based treatment verification in ion beam radiotherapy

Chiara Gianoli, Marco Riboldi, Guido Baroni, 2014, 2014 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).

Evaluation of a 2D UNet-Based Attenuation Correction Methodology for PET/MR Brain Studies

D. Perani, V. Bettinardi, P. Scifo, 2022, Journal of Digital Imaging.

Artificial intelligence for precision medicine in autoimmune liver disease

Jakob Nikolas Kather, J. Kather, E. De Bernardi, 2022, Frontiers in Immunology.

Technical Note: A new zeolite PET phantom to test segmentation algorithms on heterogeneous activity distributions featured with ground‐truth contours

Giuseppe Baselli, Felicia Zito, Elisabetta De Bernardi, 2017, Medical physics.

Radiomics in PI-RADS 3 Multiparametric MRI for Prostate Cancer Identification: Literature Models Re-Implementation and Proposal of a Clinical–Radiological Model

E. De Bernardi, S. Sironi, M. Roscigno, 2022, Journal of clinical medicine.

Imaging Metformin Efficacy as Add-On Therapy in Cells and Mouse Models of Human EGFR Glioblastoma

R. Galli, E. De Bernardi, P. Rainone, 2021, Frontiers in Oncology.

The “digital biopsy” in non-small cell lung cancer (NSCLC): a pilot study to predict the PD-L1 status from radiomics features of [18F]FDG PET/CT

L. Guerra, C. Messa, C. Landoni, 2022, European Journal of Nuclear Medicine and Molecular Imaging.

Classification and evaluation strategies of auto‐segmentation approaches for PET: Report of AAPM task group No. 211

Habib Zaidi, Issam El Naqa, Robert Jeraj, 2017, Medical physics.

Toward a standard for the evaluation of PET‐Auto‐Segmentation methods following the recommendations of AAPM task group No. 211: Requirements and implementation

Wei Lu, Habib Zaidi, Issam El Naqa, 2017, Medical physics.

Radiomics of the primary tumour as a tool to improve 18F-FDG-PET sensitivity in detecting nodal metastases in endometrial cancer

Claudio Landoni, Elisabetta De Bernardi, Luca Guerra, 2018, EJNMMI Research.

Regional MLEM reconstruction strategy for PET-based treatment verification in ion beam radiotherapy

Julia Bauer, Katia Parodi, Chiara Gianoli, 2014, Physics in medicine and biology.

A Simple Contrast Matching Rule for OSEM Reconstructed PET Images with Different Time of Flight Resolution

Luca Presotto, Valentino Bettinardi, Elisabetta De Bernardi, 2021, Applied Sciences.

A Dedicated Tomographic Image Reconstruction Algorithm for Integration-Mode Detector Configuration in Ion Imaging

Katia Parodi, Chiara Gianoli, Sebastian Meyer, 2018, 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference Proceedings (NSS/MIC).

Background based Gaussian mixture model lesion segmentation in PET.

Giuseppe Baselli, Felicia Zito, Elisabetta De Bernardi, 2016, Medical physics.

Regularized ML reconstruction for time/dose reduction in 18F-fluoride PET/CT studies

Valentino Bettinardi, Maria Carla Gilardi, Luigi Gianolli, 2015, Physics in medicine and biology.

Combining positron emission tomography/computed tomography, radiomics, and sentinel lymph node mapping for nodal staging of endometrial cancer patients

L. Guerra, C. Messa, F. Landoni, 2020, International Journal of Gynecological Cancer.

4D ML reconstruction as a tool for volumetric PET-based treatment verification in ion beam radiotherapy.

E. De Bernardi, R. Ricotti, M. Riboldi, 2016, Medical physics.

Clinical investigations of a 4D ML reconstruction strategy for PET-based treatment verification in ion beam therapy

Julia Bauer, Katia Parodi, Chiara Gianoli, 2014, 2014 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).