Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Stefano Pedemonte"'
Autor:
Christopher P. Bridge, Bernardo C. Bizzo, James M. Hillis, John K. Chin, Donnella S. Comeau, Romane Gauriau, Fabiola Macruz, Jayashri Pawar, Flavia T. C. Noro, Elshaimaa Sharaf, Marcelo Straus Takahashi, Bradley Wright, John F. Kalafut, Katherine P. Andriole, Stuart R. Pomerantz, Stefano Pedemonte, R. Gilberto González
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract Stroke is a leading cause of death and disability. The ability to quickly identify the presence of acute infarct and quantify the volume on magnetic resonance imaging (MRI) has important treatment implications. We developed a machine learnin
Externí odkaz:
https://doaj.org/article/157c664d20a9403091eb001175b7373f
Autor:
Romane Gauriau, John K Chin, Christopher P. Bridge, James Hillis, Bradley Wright, Elshaimaa Sharaf, Jayashri Pawar, R. Gilberto Gonzalez, Stefano Pedemonte, John Francis Kalafut, Bernardo Bizzo, Stuart R. Pomerantz, Katherine P. Andriole, Fabiola B. C. Macruz, Marcelo Straus Takahashi, Donnella S Comeau, Flavia T C Noro
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
BackgroundStroke is a leading cause of death and disability. The ability to quickly identify the presence of acute infarct and quantify the volume on magnetic resonance imaging (MRI) has important treatment implications. MethodsWe developed a machine
Autor:
Stephen M. Moore, Douglas Smith, Aaron Long, Meet Shah, Stefano Pedemonte, Thomas P. Matthews, Rodrigo Morales Hoil, Jason Su, Sadanand Singh, Nikita Ghare, Susan C. Marks, Richard L. Wahl, Brent Mombourquette, Jenny Gurney, David Maffit
Publikováno v:
Radiol Artif Intell
PURPOSE: To develop a Breast Imaging Reporting and Data System (BI-RADS) breast density deep learning (DL) model in a multisite setting for synthetic two-dimensional mammographic (SM) images derived from digital breast tomosynthesis examinations by u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2cf2454c9cb05e9e9faa34ebfad8402e
https://europepmc.org/articles/PMC8082294/
https://europepmc.org/articles/PMC8082294/
Autor:
Stefano Pedemonte
Publikováno v:
Medical Imaging 2020: Computer-Aided Diagnosis.
Early detection of breast cancer through screening mammography yields a 20-35% increase in survival rate; however, there are not enough radiologists to serve the growing population of women seeking screening mammography. Although commercial computer
Autor:
Jason Su, Trevor Tsue, Sadanand Singh, Brent Mombourquette, Meet Shah, Thomas P. Matthews, Ranya Almohsen, Aaron Long, Stefano Pedemonte
Mammography-based screening has helped reduce the breast cancer mortality rate, but has also been associated with potential harms due to low specificity, leading to unnecessary exams or procedures, and low sensitivity. Digital breast tomosynthesis (D
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2872ba8390e9c71086cc05d5ce58f5e
http://arxiv.org/abs/2001.08381
http://arxiv.org/abs/2001.08381
Autor:
Michele Scipioni, Stefano Pedemonte, David Izquierdo-Garcia, Niccolo Fuin, Ciprian Catana, Lisanne P.W. Canjels, Onofrio A. Catalano
Publikováno v:
Journal of Nuclear Medicine. 59:1474-1479
We present an approach for concurrent reconstruction of respiratory motion–compensated abdominal dynamic contrast-enhanced (DCE)–MRI and PET data in an integrated PET/MR scanner. The MR and PET reconstructions share the same motion vector fields
Publikováno v:
Pedemonte, S, Pierce, L & Van Leemput, K 2017, ' A machine learning method for fast and accurate characterization of depth-of-interaction gamma cameras : Paper ', Physics in Medicine and Biology, vol. 62, no. 21, pp. 8376-8401 . https://doi.org/10.1088/1361-6560/aa6ee5
Measuring the depth-of-interaction (DOI) of gamma photons enables increasing the resolution of emission imaging systems. Several design variants of DOI-sensitive detectors have been recently introduced to improve the performance of scanners for posit
Publikováno v:
IEEE transactions on medical imaging. 39(1)
In the context of dynamic emission tomography, the conventional processing pipeline consists of independent image reconstruction of single-time frames, followed by the application of a suitable kinetic model to time-activity curves (TACs) at the voxe
Autor:
Matthew Louis Hibert, Michele Scipioni, Mark Vangel, Bruce R. Rosen, Ciprian Catana, Niccolo Fuin, Umar Mahmood, Andreea M. Catana, Stefano Pedemonte, Lale Umutlu, Ken Herrmann, Onofrio A. Catalano, David Groshar, Felix Nensa
Publikováno v:
European journal of nuclear medicine and molecular imaging. 45(12)
To compare the clinical performance of upper abdominal PET/DCE-MRI with and without concurrent respiratory motion correction (MoCo). MoCo PET/DCE-MRI of the upper abdomen was acquired in 44 consecutive oncologic patients and compared with non-MoCo PE
Autor:
Stefano Pedemonte, K. Van Leemput, Robert S. Miyaoka, Lawrence R. MacDonald, Don DeWitt, Larry Pierce, William C. J. Hunter
Publikováno v:
Pierce, L A, Pedemonte, S, Dewitt, S, Macdonald, L, Hunter, W C J, Leemput, V & Miyaoka, R 2018, ' Characterization of highly multiplexed monolithic PET / gamma camera detector modules : Paper ', Physics in Medicine and Biology, vol. 63, no. 7, 075017 . https://doi.org/10.1088/1361-6560/aab380
PET detectors use signal multiplexing to reduce the total number of electronics channels needed to cover a given area. Using measured thin-beam calibration data, we tested a principal component based multiplexing scheme for scintillation detectors. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ece3059111ccc58c31a74ec56b190cb2
https://orbit.dtu.dk/en/publications/c36ff8a2-1f73-414d-b67b-282eb1b9d2b0
https://orbit.dtu.dk/en/publications/c36ff8a2-1f73-414d-b67b-282eb1b9d2b0