Stefano Pedemonte

Publication Activity (10 Years)

Years Active: 2011-2022
Publications (10 Years): 12

Top Topics

Weakly Supervised

Digital Mammography

Tomographic Reconstruction

Top Venues

IEEE Trans. Medical Imaging

Medical Imaging: Computer-Aided Diagnosis

Publications

Stefano Pedemonte, Trevor Tsue, Brent Mombourquette, Yen Nhi Truong Vu, Thomas Paul Matthews, Rodrigo Morales Hoil, Meet Shah, Nikita Ghare, Naomi Zingman-Daniels, Susan Holley, Catherine M. Appleton, Jason Su, Richard L. Wahl
A deep learning algorithm for reducing false positives in screening mammography. CoRR (2022)
Thomas P. Matthews, Sadanand Singh, Brent Mombourquette, Jason Su, Meet P. Shah, Stefano Pedemonte, Aaron Long, David Maffit, Jenny Gurney, Rodrigo Morales Hoil, Nikita Ghare, Douglas Smith, Stephen M. Moore, Susan C. Marks, Richard L. Wahl
A multi-site study of a breast density deep learning model for full-field digital mammography and digital breast tomosynthesis exams. CoRR (2020)
Stefano Pedemonte, Brent Mombourquette, Alexis Goh, Trevor Tsue, Aaron Long, Sadanand Singh, Thomas Paul Matthews, Meet Shah, Jason Su
A Hypersensitive Breast Cancer Detector. CoRR (2020)
Stefano Pedemonte
A hypersensitive breast cancer detector (Conference Presentation). Medical Imaging: Computer-Aided Diagnosis (2020)
Sadanand Singh, Thomas Paul Matthews, Meet Shah, Brent Mombourquette, Trevor Tsue, Aaron Long, Ranya Almohsen, Stefano Pedemonte, Jason Su
Adaptation of a deep learning malignancy model from full-field digital mammography to digital breast tomosynthesis. Medical Imaging: Computer-Aided Diagnosis (2020)
Michele Scipioni, Stefano Pedemonte, Maria Filomena Santarelli, Luigi Landini
Probabilistic Graphical Models for Dynamic PET: A Novel Approach to Direct Parametric Map Estimation and Image Reconstruction. IEEE Trans. Medical Imaging 39 (1) (2020)
Sadanand Singh, Thomas Paul Matthews, Meet Shah, Brent Mombourquette, Trevor Tsue, Aaron Long, Ranya Almohsen, Stefano Pedemonte, Jason Su
Adaptation of a deep learning malignancy model from full-field digital mammography to digital breast tomosynthesis. CoRR (2020)
Michele Scipioni, Maria Filomena Santarelli, Luigi Landini, Ciprian Catana, Douglas N. Greve, Julie C. Price, Stefano Pedemonte
Kinetic Compressive Sensing. CoRR (2018)
Stefano Pedemonte, Bernardo Bizzo, Stuart R. Pomerantz, Neil A. Tenenholtz, Bradley Wright, Mark Walters, Sean Doyle, Adam McCarthy, Renata Rocha De Almeida, Katherine P. Andriole, Mark Michalski, R. Gilberto Gonzalez
Detection and Delineation of Acute Cerebral Infarct on DWI Using Weakly Supervised Machine Learning. MICCAI (3) (2018)
Jen-Tang Lu, Stefano Pedemonte, Bernardo Bizzo, Sean Doyle, Katherine P. Andriole, Mark H. Michalski, R. Gilberto Gonzalez, Stuart R. Pomerantz
Deep Spine: Automated Lumbar Vertebral Segmentation, Disc-Level Designation, and Spinal Stenosis Grading using Deep Learning. MLHC (2018)
Jen-Tang Lu, Stefano Pedemonte, Bernardo Bizzo, Sean Doyle, Katherine P. Andriole, Mark H. Michalski, R. Gilberto Gonzalez, Stuart R. Pomerantz
DeepSPINE: Automated Lumbar Vertebral Segmentation, Disc-level Designation, and Spinal Stenosis Grading Using Deep Learning. CoRR (2018)
Stefano Pedemonte, Ciprian Catana, Koen Van Leemput
Bayesian Tomographic Reconstruction Using Riemannian MCMC. MICCAI (2) (2015)
Niccolo Fuin, Stefano Pedemonte, Simon R. Arridge, Sébastien Ourselin, Brian F. Hutton
Efficient Determination of the Uncertainty for the Optimization of SPECT System Design: A Subsampled Fisher Information Matrix. IEEE Trans. Medical Imaging 33 (3) (2014)
Ninon Burgos, Manuel Jorge Cardoso, Kris Thielemans, Marc Modat, Stefano Pedemonte, John C. Dickson, Anna Barnes, Rebekah Ahmed, Colin J. Mahoney, Jonathan M. Schott, John S. Duncan, David Atkinson, Simon R. Arridge, Brian F. Hutton, Sébastien Ourselin
Attenuation Correction Synthesis for Hybrid PET-MR Scanners: Application to Brain Studies. IEEE Trans. Medical Imaging 33 (12) (2014)
Stefano Pedemonte, Ciprian Catana, Koen Van Leemput
An Inference Language for Imaging. BAMBI (2014)
Ninon Burgos, Manuel Jorge Cardoso, Marc Modat, Stefano Pedemonte, John C. Dickson, Anna Barnes, John S. Duncan, David Atkinson, Simon R. Arridge, Brian F. Hutton, Sébastien Ourselin
Attenuation Correction Synthesis for Hybrid PET-MR Scanners. MICCAI (1) (2013)
Stefano Pedemonte, Manuel Jorge Cardoso, Simon R. Arridge, Brian F. Hutton, Sébastien Ourselin
Steady-State Model of the Radio-Pharmaceutical Uptake for MR-PET. MICCAI (1) (2012)
Stefano Pedemonte, Alexandre Bousse, Brian F. Hutton, Simon R. Arridge, Sébastien Ourselin
Probabilistic Graphical Model of SPECT/MRI. MLMI (2011)
Daniil Kazantsev, Alexandre Bousse, Stefano Pedemonte, Simon R. Arridge, Brian F. Hutton, Sébastien Ourselin
Edge preserving bowsher prior with nonlocal weighting for 3D spect reconstruction. ISBI (2011)
Stefano Pedemonte, Alexandre Bousse, Brian F. Hutton, Simon R. Arridge, Sébastien Ourselin
4-D Generative Model for PET/MRI Reconstruction. MICCAI (1) (2011)