Zobrazeno 1 - 10
of 390
pro vyhledávání: '"Wang, Adam"'
Autor:
Ger, Norah, Ku, Alice, Lopez, Jasmyn, Bennett, N. Robert, Wang, Jia, Ateka, Grace, Anyenda, Enoch, Rosezky, Matthias, Wang, Adam S., Shaker, Kian
We present OpenDosimeter (https://opendosimeter.org/), an open hardware solution for real-time personal X-ray dose monitoring based on a scintillation counter. Using an X-ray sensor assembly (LYSO + SiPM) on a custom board powered by a Raspberry Pi P
Externí odkaz:
http://arxiv.org/abs/2409.09993
Autor:
Wang, Adam
The following note proves that conditional entropy of a sequence is almost time-reversal invariant, specifically they only differ by a small constant factor dependent only upon the forward and backward models that the entropies are being calculated w
Externí odkaz:
http://arxiv.org/abs/2404.02167
Diffusion and Poisson flow models have demonstrated remarkable success for a wide range of generative tasks. Nevertheless, their iterative nature results in computationally expensive sampling and the number of function evaluations (NFE) required can
Externí odkaz:
http://arxiv.org/abs/2402.08159
Autor:
Pack, Jed D., Fitzgerald, Paul, Araujo, Stephen, Fan, Ying, Stevens, Grant, Gerdes, Jonathan, Wang, Adam, Nieman, Koen, Wang, Ge, De Man, Bruno
While drastic improvements in CT technology have occurred in the past 25 years, spatial resolution is one area where progress has been limited until recently. New photon counting CT systems, are capable of much better spatial resolution than their (e
Externí odkaz:
http://arxiv.org/abs/2401.04215
Autor:
Imran, Abdullah-Al-Zubaer, Wang, Sen, Pal, Debashish, Dutta, Sandeep, Patel, Bhavik, Zucker, Evan, Wang, Adam
Purpose: Estimation of patient-specific organ doses is required for more comprehensive dose metrics, such as effective dose. Currently, available methods are performed retrospectively using the CT images themselves, which can only be done after the s
Externí odkaz:
http://arxiv.org/abs/2312.15354
Autor:
Li, Mengzhou, Wu, Mingye, Pack, Jed, Wu, Pengwei, De Man, Bruno, Wang, Adam, Nieman, Koen, Wang, Ge
Recent development of photon-counting CT (PCCT) brings great opportunities for plaque characterization with much-improved spatial resolution and spectral imaging capability. While existing coronary plaque PCCT imaging results are based on detectors m
Externí odkaz:
http://arxiv.org/abs/2312.01566
Traditional deep learning (DL) models face two key challenges. First, they assume training samples are independent and identically distributed, an assumption often violated in real-world datasets where samples are grouped by shared measurements (e.g.
Externí odkaz:
http://arxiv.org/abs/2310.03146
Disease diagnosis from medical images via supervised learning is usually dependent on tedious, error-prone, and costly image labeling by medical experts. Alternatively, semi-supervised learning and self-supervised learning offer effectiveness through
Externí odkaz:
http://arxiv.org/abs/2304.05047
Multi-Energy Blended CBCT Spectral Imaging Using a Spectral Modulator with Flying Focal Spot (SMFFS)
Publikováno v:
Medical Physics. 2024; 1-15
Conventional cone-beam CT (CBCT) can be easily compromised by scatter and beam hardening artifacts, and the entanglement of scatter and spectral effects introduces additional complexity. In this work, we present the first attempt to develop a station
Externí odkaz:
http://arxiv.org/abs/2212.05249
Purpose: Conventional x-ray imaging and fluoroscopy have limitations in quantitation due to several challenges, including scatter, beam hardening, and overlapping tissues. In this work, we propose single-shot quantitative imaging (SSQI) by combining
Externí odkaz:
http://arxiv.org/abs/2209.13162