Edge preserving bowsher prior with nonlocal weighting for 3D spect reconstruction. - Daniil Kazantsev; Alexandre Bousse; Stefano Pedemonte; Simon R. Arridge; Brian F. Hutton; Sébastien Ourselin (ISBI, 2011)

4-D Generative Model for PET/MRI Reconstruction. - Stefano Pedemonte; Alexandre Bousse; Brian F. Hutton; Simon R. Arridge; Sébastien Ourselin (MICCAI (1), 2011)

Probabilistic Graphical Model of SPECT/MRI. - Stefano Pedemonte; Alexandre Bousse; Brian F. Hutton; Simon R. Arridge; Sébastien Ourselin (MLMI, 2011)

Steady-State Model of the Radio-Pharmaceutical Uptake for MR-PET. - Stefano Pedemonte; Manuel Jorge Cardoso; Simon R. Arridge; Brian F. Hutton; Sébastien Ourselin (MICCAI (1), 2012)

Attenuation Correction Synthesis for Hybrid PET-MR Scanners. - 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 (MICCAI (1), 2013)

An Inference Language for Imaging. - Stefano Pedemonte; Ciprian Catana; Koen Van Leemput (BAMBI, 2014)

Attenuation Correction Synthesis for Hybrid PET-MR Scanners: Application to Brain Studies. - 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; et al. (IEEE Trans. Medical Imaging, 2014)

Efficient Determination of the Uncertainty for the Optimization of SPECT System Design: A Subsampled Fisher Information Matrix. - Niccolo Fuin; Stefano Pedemonte; Simon R. Arridge; Sébastien Ourselin; Brian F. Hutton (IEEE Trans. Medical Imaging, 2014)

Bayesian Tomographic Reconstruction Using Riemannian MCMC. - Stefano Pedemonte; Ciprian Catana; Koen Van Leemput (MICCAI (2), 2015)

Detection and Delineation of Acute Cerebral Infarct on DWI Using Weakly Supervised Machine Learning. - 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 González (MICCAI (3), 2018)

Deep Spine: Automated Lumbar Vertebral Segmentation, Disc-Level Designation, and Spinal Stenosis Grading using Deep Learning. - Jen-Tang Lu; Stefano Pedemonte; Bernardo Bizzo; Sean Doyle; Katherine P. Andriole; Mark H. Michalski; R. Gilberto González; Stuart R. Pomerantz (MLHC, 2018)

Kinetic Compressive Sensing. - Michele Scipioni; Maria Filomena Santarelli; Luigi Landini; Ciprian Catana; Douglas N. Greve; Julie C. Price; Stefano Pedemonte (CoRR, 2018)

DeepSPINE: Automated Lumbar Vertebral Segmentation, Disc-level Designation, and Spinal Stenosis Grading Using Deep Learning. - Jen-Tang Lu; Stefano Pedemonte; Bernardo Bizzo; Sean Doyle; Katherine P. Andriole; Mark H. Michalski; R. Gilberto González; Stuart R. Pomerantz (CoRR, 2018)

A hypersensitive breast cancer detector (Conference Presentation). - Stefano Pedemonte (Computer-Aided Diagnosis, 2020)

Adaptation of a deep learning malignancy model from full-field digital mammography to digital breast tomosynthesis. - Sadanand Singh; Thomas Paul Matthews; Meet Shah 001; Brent Mombourquette; Trevor Tsue; Aaron Long; Ranya Almohsen; Stefano Pedemonte; Jason Su (Computer-Aided Diagnosis, 2020)

A Hypersensitive Breast Cancer Detector. - Stefano Pedemonte; Brent Mombourquette; Alexis Goh; Trevor Tsue; Aaron Long; Sadanand Singh; Thomas Paul Matthews; Meet Shah 001; Jason Su (CoRR, 2020)

A multi-site study of a breast density deep learning model for full-field digital mammography and digital breast tomosynthesis exams. - Thomas Paul 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; et al. (CoRR, 2020)

Probabilistic Graphical Models for Dynamic PET: A Novel Approach to Direct Parametric Map Estimation and Image Reconstruction. - Michele Scipioni; Stefano Pedemonte; Maria Filomena Santarelli; Luigi Landini (IEEE Trans. Medical Imaging, 2020)

A deep learning algorithm for reducing false positives in screening mammography. - Stefano Pedemonte; Trevor Tsue; Brent Mombourquette; Yen Nhi Truong Vu; Thomas Paul Matthews; Rodrigo Morales Hoil; Meet Shah 001; Nikita Ghare; Naomi Zingman-Daniels; Susan Holley; Catherine M. Appleton; Jason Su; et al. (CoRR, 2022)