P. Zaffino

发表

Deep Convolution Neural Network (DCNN) multi-plane approach to synthetic CT generation from MR images - application in brain proton therapy.

Ciprian Catana, Paolo Zaffino, Maria Francesca Spadea, 2019, International journal of radiation oncology, biology, physics.

Machine-learning based image segmentation using Manifold Learning and Random Patch Forests

G. Sharp, R. Schubert, K. Fritscher, 2016 .

Radiotherapy of Hodgkin and Non-Hodgkin Lymphoma

G. Baroni, M. Spadea, L. Travaini, 2016, Technology in cancer research & treatment.

Comparison of the suitability of CBCT- and MR-based synthetic CTs for daily adaptive proton therapy in head and neck patients

R. Steenbakkers, J. Seco, M. Spadea, 2020, Physics in medicine and biology.

An Open-Source COVID-19 CT Dataset with Automatic Lung Tissue Classification for Radiomics

S. Moccia, M. Spadea, Francesco Calimeri, 2021, Bioengineering.

Contrast-enhanced proton radiography for patient set-up by using x-ray CT prior knowledge.

Paolo Zaffino, Maria Francesca Spadea, Joao Seco, 2014, International journal of radiation oncology, biology, physics.

A Review on Advances in Intra-operative Imaging for Surgery and Therapy: Imagining the Operating Room of the Future

Paolo Zaffino, Sara Moccia, Elena De Momi, 2020, Annals of Biomedical Engineering.

Evaluating the Impact of Training Loss on MR to Synthetic CT Conversion

Pierangela Bruno, Paolo Zaffino, Maria Francesca Spadea, 2020, LOD.

Deep learning-based synthetic-CT generation in radiotherapy and PET: a review

Paolo Zaffino, Maria Francesca Spadea, Joao Seco, 2021, Medical physics.

Metacognition and emotion regulation as treatment targets in binge eating disorder: a network analysis study

G. Coco, A. Carcione, G. Nicolò, 2020, Journal of eating disorders.

Atlas-based segmentation in breast cancer radiotherapy: Evaluation of specific and generic-purpose atlases.

Paolo Zaffino, Maria Francesca Spadea, Marco Riboldi, 2017, Breast.

OC-0180: Atlas selection strategies for multi atlas based segmentation algorithm for head and neck radiotherapy

G. Sharp, M. Peroni, R. Schubert, 2014 .

Assessing vascular complexity of PAOD patients by deep learning-based segmentation and fractal dimension

C. Indolfi, Pierangela Bruno, M. Spadea, 2022, Neural Computing and Applications.

Deep learning–based 4D‐synthetic CTs from sparse‐view CBCTs for dose calculations in adaptive proton therapy

J. Seco, M. Spadea, J. Langendijk, 2022, Medical physics.

Clinical suitability of deep learning based synthetic CTs for adaptive proton therapy of lung cancer

J. Seco, M. Spadea, J. Langendijk, 2021, Medical physics.

University of Groningen Comparison of CBCT based synthetic CT methods suitable for proton dose calculations in adaptive proton therapy Thummerer,

R. Steenbakkers, J. Seco, M. Spadea, 2020 .

Using CNNs for Designing and Implementing an Automatic Vascular Segmentation Method of Biomedical Images

Pierangela Bruno, Paolo Zaffino, Maria Francesca Spadea, 2018, AI*IA.

Innate Immunity: A Common Denominator between Neurodegenerative and Neuropsychiatric Diseases

M. Spadea, B. Arcidiacono, F. Novellino, 2020, International journal of molecular sciences.

Innate Immunity Cells and the Neurovascular Unit

M. Spadea, F. Novellino, M. Vismara, 2018, International journal of molecular sciences.

Evaluation of segmentation methods on head and neck CT: Auto‐segmentation challenge 2015

Blake Hannaford, Florian Jung, Stefan Wesarg, 2017, Medical physics.

Deep Neural Networks for Fast Segmentation of 3D Medical Images

Paolo Zaffino, Maria Francesca Spadea, Patrik Raudaschl, 2016, MICCAI.

Automatic segmentation of head and neck CT images for radiotherapy treatment planning using multiple atlases, statistical appearance models, and geodesic active contours.

Paolo Zaffino, Maria Francesca Spadea, Rainer Schubert, 2014, Medical physics.

Radiomics-Based Machine Learning Model for Predicting Overall and Progression-Free Survival in Rare Cancer: A Case Study for Primary CNS Lymphoma Patients

T. Calimeri, M. Spadea, Francesco Calimeri, 2023, Bioengineering.

Fully automatic catheter segmentation in MRI with 3D convolutional neural networks: application to MRI-guided gynecologic brachytherapy

Ron Kikinis, Paolo Zaffino, Maria Francesca Spadea, 2019, Physics in medicine and biology.

Comparison of CBCT based synthetic CT methods suitable for proton dose calculations in adaptive proton therapy

Paolo Zaffino, Maria Francesca Spadea, Joao Seco, 2020, Physics in medicine and biology.

Multi-organ segmentation of the head and neck area: an efficient hierarchical neural networks approach

Paolo Zaffino, Maria Francesca Spadea, Karl D. Fritscher, 2019, International Journal of Computer Assisted Radiology and Surgery.

Plastimatch 1 . 6 – Current Capabilities and Future Directions

Joseph O. Deasy, Polina Golland, Paolo Zaffino, 2012 .

Does a polarization state exist for mast cells in cancer?

M. Spadea, T. Mancuso, E. Chiefari, 2019, Medical hypotheses.

Design and Experimental Validation of a 3D-Printed Embedded-Sensing Continuum Robot for Neurosurgery

C. Cosentino, M. Spadea, A. Merola, 2023, Micromachines.

Metacognition and emotion regulation as treatment targets in binge eating disorder: a network analysis study

G. Coco, A. Carcione, G. Nicolò, 2021, Journal of Eating Disorders.

Multi atlas based segmentation: should we prefer the best atlas group over the group of best atlases?

Francesco Amato, Paolo Zaffino, Maria Francesca Spadea, 2018, Physics in medicine and biology.

A novel atlas-selection approach for multi-atlas based segmentation using the correlation of inter-atlas similarities

R. Schubert, K. Fritscher, P. Zaffino, 2014, The MIDAS Journal.

A novel atlas-selection approach for multiple atlas segmentation based on Manifold Learning and Random Forests using Multi-Scale Image Patches

G. Sharp, R. Schubert, K. Fritscher, 2016 .

CoroFinder: A New Tool for Real Time Detection and Tracking of Coronary Arteries in Contrast-Free Cine-Angiography

C. Indolfi, M. Spadea, S. De Rosa, 2022, Journal of personalized medicine.

Atlas-based segmentation in breast cancer radiotherapy: Evaluation of specific and generic-purpose atlases.

M. Riboldi, G. Baroni, M. Spadea, 2017, Breast.

Radiotherapy of Hodgkin and Non-Hodgkin Lymphoma

M. Spadea, L. Travaini, D. Alterio, 2016, Technology in cancer research & treatment.

Is artificial intelligence the new kid on the block? Sustainable applications in cardiology

M. Spadea, J. Sabatino, P. Zaffino, 2024, Vessel Plus.