J. Stancanello

发表

Beyond imaging: The promise of radiomics.

I. El Naqa, M. Avanzo, J. Stancanello, 2017, 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.

Use of motion tracking in stereotactic body radiotherapy: Evaluation of uncertainty in off-target dose distribution and optimization strategies

S Cora, P Francescon, P Scalchi, 2006, Acta oncologica.

Radiomics and deep learning in lung cancer

M. Avanzo, J. Stancanello, G. Pirrone, 2020, Strahlentherapie und Onkologie.

High intensity focused ultrasound may be superior to radiation therapy for the treatment of early stage prostate cancer.

Stanley H Benedict, Colin G Orton, Joseph Stancanello, 2011, Medical physics.

Methods for an improved detection of the MRI-CEST effect.

E. Terreno, J. Stancanello, S. Aime, 2009, Contrast media & molecular imaging.

Characterization of 3D geometric distortion of magnetic resonance imaging scanners commissioned for radiation therapy planning.

Rabih Hammoud, Joseph Stancanello, Ken-Pin Hwang, 2016, Magnetic resonance imaging.

Electron radiotherapy (IOERT) for applications outside of the breast: Dosimetry and influence of tissue inhomogeneities.

P. Chiovati, M. Avanzo, J. Stancanello, 2019, 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.

CT—3D rotational angiography automatic registration: A sensitivity analysis

Giancarlo Ferrigno, Pietro Cerveri, Carlo Cavedon, 2005, Medical and Biological Engineering and Computing.

Angiography for Radiosurgery and Radiation Therapy

C. Cavedon, J. Stancanello, 2015 .

Deep learning based time-to-event analysis with PET, CT and joint PET/CT for head and neck cancer prognosis

N. Albert, G. Landry, C. Belka, 2022, Comput. Methods Programs Biomed..

Paramagnetic Liposomes as Innovative Contrast Agents for Magnetic Resonance (MR) Molecular Imaging Applications

L. Tei, E. Terreno, J. Stancanello, 2008, Chemistry and Biodiversity.

First ex-vivo MRI co-localization of two LIPOCEST agents.

E. Terreno, J. Stancanello, S. Aime, 2008, Contrast media & molecular imaging.

Atlas-based identification of targets for functional radiosurgery.

Giancarlo Ferrigno, Pietro Cerveri, Joseph Stancanello, 2006, Medical physics.

What if You Cannot See the Target? Two Case Studies of Atlas-to-Patient Registration in Trigeminal Neuralgia Radiosurgery.

A. Muacevic, J. Stancanello, 2010 .

Atlas-based functional radiosurgery: early results.

E. Pantelis, P. Romanelli, J. Stancanello, 2009, Medical physics.

Electron Density and Biologically Effective Dose (BED) Radiomics-Based Machine Learning Models to Predict Late Radiation-Induced Subcutaneous Fibrosis

I. El Naqa, M. Avanzo, J. Stancanello, 2020, Frontiers in Oncology.

Magnetic Resonance Imaging will Replace Computer Tomography

J. Stancanello, 2012 .

Prediction of skin dose in low‐kV intraoperative radiotherapy using machine learning models trained on results of in vivo dosimetry

I. El Naqa, M. Avanzo, J. Stancanello, 2019, Medical physics.

Arteriovenous Malformation Radiosurgery: Evolution of the Technique

P. Francescon, C. Cavedon, J. Stancanello, 2006 .

Normal tissue complication probability models for severe acute radiological lung injury after radiotherapy for lung cancer.

Michele Avanzo, Joseph Stancanello, M. Bazzocchi, 2015, 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.

Complication probability model for subcutaneous fibrosis based on published data of partial and whole breast irradiation.

R. Jena, M. Avanzo, J. Stancanello, 2012, 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.

Machine and deep learning methods for radiomics.

Issam El Naqa, Michele Avanzo, Martin Vallières, 2020, Medical physics.

Voxel-by-voxel correlation between radiologically radiation induced lung injury and dose after image-guided, intensity modulated radiotherapy for lung tumors.

David A Jaffray, Michele Avanzo, Cristina Cappelletto, 2017, 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.

Hypofractionation of partial breast irradiation using radiobiological models.

C. Zuiani, R. Jena, M. Avanzo, 2015, 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.

Ten daily fractions for partial breast irradiation. Long‐term results of a prospective phase II trial

R. Jena, M. Avanzo, J. Stancanello, 2019, The breast journal.

AI-based applications in hybrid imaging: how to build smart and truly multi-parametric decision models for radiomics

Marco Aiello, Michele Avanzo, Marco Salvatore, 2019, European Journal of Nuclear Medicine and Molecular Imaging.

3T MRI evaluation of the accuracy of atlas-based subthalamic nucleus identification.

Giancarlo Ferrigno, Pietro Cerveri, Joseph Stancanello, 2008, Medical physics.

Correlation of a hypoxia based tumor control model with observed local control rates in nasopharyngeal carcinoma treated with chemoradiotherapy.

R. Jena, M. Avanzo, J. Stancanello, 2010, Medical physics.

Fast time-of-flight camera based surface registration for radiotherapy patient positioning.

Elli Angelopoulou, Michael Balda, Christian Schaller, 2011, Medical physics.

Development and validation of a smoothing-splines-based correction method for improving the analysis of CEST-MR images.

J Stancanello, E Terreno, D Delli Castelli, 2008, Contrast media & molecular imaging.

Distant metastasis time to event analysis with CNNs in independent head and neck cancer cohorts

G. Landry, C. Belka, K. Parodi, 2021, Scientific Reports.

From spherical to osmotically shrunken paramagnetic liposomes: an improved generation of LIPOCEST MRI agents with highly shifted water protons.

Enzo Terreno, Joseph Stancanello, Silvio Aime, 2007, Angewandte Chemie.

Combining computed tomography and biologically effective dose in radiomics and deep learning improves prediction of tumor response to robotic lung SBRT.

I. Naqa, M. Avanzo, J. Stancanello, 2021, Medical physics.

Direct validation of atlas-based red nucleus identification for functional radiosurgery.

Giancarlo Ferrigno, Fabio Sebastiano, Pietro Cerveri, 2007, Medical physics.

Point/counterpoint. The traditional L-shaped gantry for radiotherapy linear accelerators will soon become obsolete.

Fang-Fang Yin, Colin G Orton, Joseph Stancanello, 2010, Medical physics.

BOLD fMRI integration into radiosurgery treatment planning of cerebral vascular malformations.

Giancarlo Ferrigno, Pietro Cerveri, Carlo Cavedon, 2007, Medical physics.

Seven fractions to deliver partial breast irradiation: the toxicity is Low

R. Jena, M. Avanzo, J. Stancanello, 2017, Radiation Oncology.

Fast time-of-flight camera based surface registration for radiotherapy patient positioning.

E. Angelopoulou, M. Balda, C. Schaller, 2011, Medical physics.

Beyond imaging: The promise of radiomics.

M. Avanzo, J. Stancanello, I. E. El Naqa, 2017, 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.

AI-based applications in hybrid imaging: how to build smart and truly multi-parametric decision models for radiomics

M. Aiello, M. Salvatore, M. Avanzo, 2019, European Journal of Nuclear Medicine and Molecular Imaging.

Paramagnetic Liposomes as Innovative Contrast Agents for Magnetic Resonance (MR) Molecular Imaging Applications

L. Tei, E. Terreno, J. Stancanello, 2008, Chemistry & biodiversity.

Methods for an improved detection of the MRI-CEST effect.

E. Terreno, J. Stancanello, S. Aime, 2009, Contrast media & molecular imaging.

Radiomics for the radiologist: opportunities and challenges

M. Avanzo, J. Stancanello, G. Pirrone, 2023, Journal of Radiological Review.