Stefano Pedemonte
Stefano Pedemonte
Research Fellow, Harvard Medical School
Verified email at - Homepage
Cited by
Cited by
Attenuation correction synthesis for hybrid PET-MR scanners: application to brain studies
N Burgos, MJ Cardoso, K Thielemans, M Modat, S Pedemonte, J Dickson, ...
IEEE transactions on medical imaging 33 (12), 2332-2341, 2014
Deep spine: automated lumbar vertebral segmentation, disc-level designation, and spinal stenosis grading using deep learning
JT Lu, S Pedemonte, B Bizzo, S Doyle, KP Andriole, MH Michalski, ...
Machine Learning for Healthcare Conference, 403-419, 2018
Attenuation correction synthesis for hybrid PET-MR scanners
N Burgos, MJ Cardoso, M Modat, S Pedemonte, J Dickson, A Barnes, ...
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013: 16th …, 2013
What approach to brain partial volume correction is best for PET/MRI?
BF Hutton, BA Thomas, K Erlandsson, A Bousse, A Reilhac-Laborde, ...
Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2013
GPU accelerated rotation-based emission tomography reconstruction
S Pedemonte, A Bousse, K Erlandsson, M Modat, S Arridge, BF Hutton, ...
IEEE Nuclear Science Symposuim & Medical Imaging Conference, 2657-2661, 2010
A multisite study of a breast density deep learning model for full-field digital mammography and synthetic mammography
TP Matthews, S Singh, B Mombourquette, J Su, MP Shah, S Pedemonte, ...
Radiology: Artificial Intelligence 3 (1), e200015, 2020
An anatomically driven anisotropic diffusion filtering method for 3D SPECT reconstruction
D Kazantsev, SR Arridge, S Pedemonte, A Bousse, K Erlandsson, ...
Physics in medicine & Biology 57 (12), 3793, 2012
Markov random field and Gaussian mixture for segmented MRI-based partial volume correction in PET
A Bousse, S Pedemonte, BA Thomas, K Erlandsson, S Ourselin, S Arridge, ...
Physics in Medicine & Biology 57 (20), 6681, 2012
PET/MRI in the presence of metal implants: completion of the attenuation map from PET emission data
N Fuin, S Pedemonte, OA Catalano, D Izquierdo-Garcia, A Soricelli, ...
Journal of Nuclear Medicine 58 (5), 840-845, 2017
Concurrent respiratory motion correction of abdominal PET and dynamic contrast-enhanced–MRI using a compressed sensing approach
N Fuin, OA Catalano, M Scipioni, LPW Canjels, D Izquierdo-Garcia, ...
Journal of Nuclear Medicine 59 (9), 1474-1479, 2018
Comparison of the clinical performance of upper abdominal PET/DCE-MRI with and without concurrent respiratory motion correction (MoCo)
OA Catalano, L Umutlu, N Fuin, ML Hibert, M Scipioni, S Pedemonte, ...
European Journal of Nuclear Medicine and Molecular Imaging 45, 2147-2154, 2018
A machine learning method for fast and accurate characterization of depth-of-interaction gamma cameras
S Pedemonte, L Pierce, K Van Leemput
Physics in Medicine & Biology 62 (21), 8376, 2017
Edge preserving bowsher prior with nonlocal weighting for 3D spect reconstruction
D Kazantsev, A Bousse, S Pedemonte, SR Arridge, BF Hutton, S Ourselin
2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2011
Adaptation of a deep learning malignancy model from full-field digital mammography to digital breast tomosynthesis
S Singh, TP Matthews, M Shah, B Mombourquette, T Tsue, A Long, ...
Medical Imaging 2020: Computer-Aided Diagnosis 11314, 25-32, 2020
Characterization of highly multiplexed monolithic PET/gamma camera detector modules
LA Pierce, S Pedemonte, D DeWitt, L MacDonald, WCJ Hunter, ...
Physics in Medicine & Biology 63 (7), 075017, 2018
Detection and delineation of acute cerebral infarct on DWI using weakly supervised machine learning
S Pedemonte, B Bizzo, S Pomerantz, N Tenenholtz, B Wright, M Walters, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
4-D generative model for PET/MRI reconstruction
S Pedemonte, A Bousse, BF Hutton, S Arridge, S Ourselin
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011: 14th …, 2011
Weighted MRI-based Bowsher priors for SPECT brain image reconstruction
A Bousse, S Pedemonte, D Kazantsev, S Ourselin, S Arridge, BF Hutton
IEEE Nuclear Science Symposuim & Medical Imaging Conference, 3519-3522, 2010
Development and clinical application of a deep learning model to identify acute infarct on magnetic resonance imaging
CP Bridge, BC Bizzo, JM Hillis, JK Chin, DS Comeau, R Gauriau, ...
Scientific reports 12 (1), 2154, 2022
Efficient determination of the uncertainty for the optimization of SPECT system design: A subsampled Fisher information matrix
N Fuin, S Pedemonte, S Arridge, S Ourselin, BF Hutton
IEEE transactions on medical imaging 33 (3), 618-635, 2013
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