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pro vyhledávání: '"Frey, Eric"'
Publikováno v:
Medical Image Analysis (2022) 102615
In the last decade, convolutional neural networks (ConvNets) have been a major focus of research in medical image analysis. However, the performances of ConvNets may be limited by a lack of explicit consideration of the long-range spatial relationshi
Externí odkaz:
http://arxiv.org/abs/2111.10480
Autor:
Chen, Junyu, Li, Ye, Luna, Licia P., Chung, Hyun Woo, Rowe, Steven P., Du, Yong, Solnes, Lilja B., Frey, Eric C.
Quantitative bone single-photon emission computed tomography (QBSPECT) has the potential to provide a better quantitative assessment of bone metastasis than planar bone scintigraphy due to its ability to better quantify activity in overlapping struct
Externí odkaz:
http://arxiv.org/abs/2104.08623
In the last decade, convolutional neural networks (ConvNets) have dominated and achieved state-of-the-art performances in a variety of medical imaging applications. However, the performances of ConvNets are still limited by lacking the understanding
Externí odkaz:
http://arxiv.org/abs/2104.06468
Autor:
Klein, Amanda, Kosinski, Luke, Loupy, Alexandre, Frey, Eric, Stegall, Mark, Helanterä, Ilkka, Newell, Kenneth, Meier-Kriesche, Herwig-Ulf, Mannon, Roslyn B., Fitzsimmons, William E.
Publikováno v:
In American Journal of Transplantation April 2024
Autor:
Chen, Junyu, Frey, Eric C.
For the majority of the learning-based segmentation methods, a large quantity of high-quality training data is required. In this paper, we present a novel learning-based segmentation model that could be trained semi- or un- supervised. Specifically,
Externí odkaz:
http://arxiv.org/abs/2001.10155
Publikováno v:
Med. Phys., 47: 6366-6380 (2020)
Objectives: Computerized phantoms play an essential role in various applications of medical imaging research. Although the existing computerized phantoms can model anatomical variations through organ and phantom scaling, this does not provide a way t
Externí odkaz:
http://arxiv.org/abs/1912.02942
Akademický článek
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Autor:
Chen, Junyu, Frey, Eric C.
Pixel intensity is a widely used feature for clustering and segmentation algorithms, the resulting segmentation using only intensity values might suffer from noises and lack of spatial context information. Wavelet transform is often used for image de
Externí odkaz:
http://arxiv.org/abs/1907.03591
Autor:
Rahman, Md Ashequr, Zhu, Yansong, Clarkson, Eric, Kupinski, Matthew A., Frey, Eric C., Jha, Abhinav K.
The potential to perform attenuation and scatter compensation (ASC) in single-photon emission computed tomography (SPECT) imaging using only the SPECT emission data is highly significant. In this context, attenuation in SPECT is primarily due to Comp
Externí odkaz:
http://arxiv.org/abs/1807.01767
Publikováno v:
In Medical Image Analysis November 2022 82