Zobrazeno 1 - 10
of 205
pro vyhledávání: '"A. F. De Rose"'
Autor:
I. Meattini, N. Rocco, M. Bernini, E. Bonzano, F. De Rose, M.C. De Santis, P. Franco, B. Meduri, S. Parisi, N. Pasinetti, A. Prisco, A. Fontana, C. Becherini, L. Livi
Publikováno v:
Breast, Vol 56, Iss , Pp S47- (2021)
Externí odkaz:
https://doaj.org/article/b4ced226a59e4f69873dc665cc0e94a6
Autor:
Gianlucca O. Puglia, Avelino Francisco Zorzo, Cesar A. F. De Rose, Taciano Perez, Dejan Milojicic
Publikováno v:
IEEE Access, Vol 7, Pp 25836-25871 (2019)
For decades, computer architectures have treated memory and storage as separate entities. Nowadays, we watch the emergence of new memory technologies that promise to significantly change the landscape of memory systems. Byte-addressable non-volatile
Externí odkaz:
https://doaj.org/article/4b608119c759490bb86ae09e6892478a
Publikováno v:
Radiation Oncology, Vol 13, Iss 1, Pp 1-7 (2018)
Abstract Background Monte Carlo simulations were run to estimate the dose variations generated by thedifference arising from the chemical composition of the tissues. Methods CT datasets of five breast cancer patients were selected. Mammary gland was
Externí odkaz:
https://doaj.org/article/86277bcb65a14829b987afe19cbcdc0e
Publikováno v:
2022 IEEE 34th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::38ff576f58f9378c13420c8b1d1780ad
https://doi.org/10.1109/sbac-pad55451.2022.00034
https://doi.org/10.1109/sbac-pad55451.2022.00034
Autor:
Rajgopal Kannan, Pengmiao Zhang, Ta-Yang Wang, Ajitesh Srivastava, Viktor K. Prasanna, César A. F. De Rose
Publikováno v:
International Journal of Data Science and Analytics. 13:3-16
With the rise of Big Data, there has been a significant effort in increasing compute power through GPUs, TPUs, and heterogeneous architectures. As a result, many applications are memory bound, i.e., they are bottlenecked by the movement of data from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::500d32e37288b76dfe3909601e61ca59
https://doi.org/10.1007/s41060-021-00268-y
https://doi.org/10.1007/s41060-021-00268-y
Autor:
Tian Ye, Sanmukh R. Kuppannagari, Cesar A. F. De Rose, Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna
Publikováno v:
2022 21st International Symposium on Parallel and Distributed Computing (ISPDC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e1e167f5c35c7b0956beb7206c3d53a
https://doi.org/10.1109/ispdc55340.2022.00016
https://doi.org/10.1109/ispdc55340.2022.00016
Autor:
F. De Rose, L. Di Brina, S. Mussari, D. Ravanelli, E. Magri, T. Proto, L. Bandera, P. Ferrazza, S. Fersino, M. Andolina, F. Ziglio, A. Delana, A. Martignano, L. Menegotti, S. Bou Selman, V. Vanoni
Publikováno v:
Radiotherapy and Oncology. 170:S1011-S1012
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e35f580aec3d295c505e778731547cf
https://doi.org/10.1016/s0167-8140(22)03155-3
https://doi.org/10.1016/s0167-8140(22)03155-3
Autor:
Antonella Fogliata, Marta Scorsetti, Davide Franceschini, Stefano Tomatis, Carlotta Becherini, Ciro Franzese, Icro Meattini, Luca Cozzi, F. De Rose, Lorenzo Livi
Publikováno v:
Clinical Oncology. 32:26-34
Aims To investigate the role of intensity-modulated proton therapy (IMPT) for regional nodal irradiation in patients with breast carcinoma in comparison with volumetric-modulated arc therapy (VMAT). Materials and methods A cohort of 20 patients (10 i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb7373e62a11799729e015eda5251336
https://doi.org/10.1016/j.clon.2019.07.016
https://doi.org/10.1016/j.clon.2019.07.016
Autor:
Taciano Perez, Marcelo Neves, César A. F. De Rose, Diego Rahn Medaglia, Pedro Garcez Monteiro
Publikováno v:
Software: Practice and Experience. 50:368-387
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d74d0c43d08fabe6f7ac42985ad90c14
https://doi.org/10.1002/spe.2781
https://doi.org/10.1002/spe.2781
Autor:
Sergey Serebryakov, Miguel G. Xavier, Plinio Silveira, Francisco Avelino Zorzo, César A. F. De Rose, Dejan Milojicic, Sai Rahul Chalamalasetti
Publikováno v:
COMPSAC
Due to the increasing adoption of Machine Learning (ML) and in particular Deep Learning (DL), many specialized energy efficient accelerators are being proposed by academia and industry. A number of these accelerators are designed to run a single appl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b593abdeda3cf766bb05411285e2e63
https://doi.org/10.1109/compsac51774.2021.00020
https://doi.org/10.1109/compsac51774.2021.00020