Zobrazeno 1 - 10
of 1 371
pro vyhledávání: '"Li, ChenGuang"'
Autor:
Polson, Lucas, Kurkowska, Sara, Li, Chenguang, Esquinas, Pedro, Sheikhzadeh, Peyman, Abbasi, Mehrshad, Benard, Francois, Uribe, Carlos, Rahmim, Arman
Radiopharmaceutical therapies (RPTs) present a major opportunity to improve cancer therapy. Although many current RPTs use the same injected activity for all patients, there is interest in using absorbed dose measurements to enable personalized presc
Externí odkaz:
http://arxiv.org/abs/2410.03570
Autor:
Polson, Lucas, Esquinas, Pedro, Kurkowska, Sara, Li, Chenguang, Sheikhzadeh, Peyman, Abbassi, Mehrshad, Farzanehfar, Saeed, Mirabedian, Seyyede, Uribe, Carlos, Rahmim, Arman
Modeling of the collimator-detector response (CDR) in SPECT reconstruction enables improved resolution and more accurate quantitation, especially for higher energy imaging (e.g.Lu-177 and Ac-225). Such modeling, however, can pose a significant comput
Externí odkaz:
http://arxiv.org/abs/2409.03100
The fusion of causal models with deep learning introducing increasingly intricate data sets, such as the causal associations within images or between textual components, has surfaced as a focal research area. Nonetheless, the broadening of original c
Externí odkaz:
http://arxiv.org/abs/2311.00923
Autor:
Polson, Lucas, Fedrigo, Roberto, Li, Chenguang, Sabouri, Maziar, Dzikunu, Obed, Ahamed, Shadab, Karakatsanis, Nikolaos, Rahmim, Arman, Uribe, Carlos
There is a need for open-source libraries in emission tomography that (i) use modern and popular backend code to encourage community contributions and (ii) offer support for the multitude of reconstruction techniques available in recent literature, s
Externí odkaz:
http://arxiv.org/abs/2309.01977
Publikováno v:
Gongye shui chuli, Vol 44, Iss 9, Pp 181-187 (2024)
The water vapor analysis data as a support of operational adjustment in petrochemical catalytic waste heat boilers often relies on manual analysis, which can no longer meet the high-quality requirements of water vapor process supervision for emission
Externí odkaz:
https://doaj.org/article/68c826a20c694e3c9191eb28ae946b71
Publikováno v:
网络与信息安全学报, Vol 10, Pp 66-80 (2024)
In recent years, a surge has been witnessed in cyber-attacks that leverage malicious Excel 4.0 macros (XLM) within documents. Malicious XLM codes often undergo complex obfuscation, posing a substantial challenge for conventional analysis methods and
Externí odkaz:
https://doaj.org/article/02eff001d853410d86eb85940d6f6b25
Understanding causality helps to structure interventions to achieve specific goals and enables predictions under interventions. With the growing importance of learning causal relationships, causal discovery tasks have transitioned from using traditio
Externí odkaz:
http://arxiv.org/abs/2209.06367
Polarization-compatible receivers are indispensable in transceivers used for wavelength division multiplexing (WDM) optical communications, as light polarization is unpredictable after transmission through network fibers. However, the strong waveguid
Externí odkaz:
http://arxiv.org/abs/2207.13296
In this paper, we propose an advanced approach in targeting the problem of monocular 3D lane detection by leveraging geometry structure underneath the process of 2D to 3D lane reconstruction. Inspired by previous methods, we first analyze the geometr
Externí odkaz:
http://arxiv.org/abs/2206.10098
We focus on bridging domain discrepancy in lane detection among different scenarios to greatly reduce extra annotation and re-training costs for autonomous driving. Critical factors hinder the performance improvement of cross-domain lane detection th
Externí odkaz:
http://arxiv.org/abs/2206.10692