Zobrazeno 1 - 10
of 284
pro vyhledávání: '"Kline, Timothy L"'
Autor:
Wang, Peilong, Kline, Timothy L., Missert, Andy D., Cook, Cole J., Callstrom, Matthew R., Chan, Alex, Hartman, Robert P., Kelm, Zachary S., Korfiatis, Panagiotis
Automated segmentation tools often encounter accuracy and adaptability issues when applied to images of different pathology. The purpose of this study is to explore the feasibility of building a workflow to efficiently route images to specifically tr
Externí odkaz:
http://arxiv.org/abs/2405.01644
Autor:
Wright, Darryl E., Gregory, Adriana V., Anaam, Deema, Yadollahi, Sepideh, Ramanathan, Sumana, Oyemade, Kafayat A., Alsibai, Reem, Holmes, Heather, Gottlich, Harrison, Browne, Cherie-Akilah G., Rassier, Sarah L. Cohen, Green, Isabel, Stewart, Elizabeth A., Takahashi, Hiroaki, Kim, Bohyun, Laughlin-Tommaso, Shannon, Kline, Timothy L.
Uterine leiomyosarcoma (LMS) is a rare but aggressive malignancy. On imaging, it is difficult to differentiate LMS from, for example, degenerated leiomyoma (LM), a prevalent but benign condition. We curated a data set of 115 axial T2-weighted MRI ima
Externí odkaz:
http://arxiv.org/abs/2308.10372
Autor:
Kline, Timothy L., Ramanathan, Sumana, Gottlich, Harrison C., Korfiatis, Panagiotis, Gregory, Adriana V.
Purpose: This study evaluated the out-of-domain performance and generalization capabilities of automated medical image segmentation models, with a particular focus on adaptation to new image acquisitions and disease type. Materials: Datasets from bot
Externí odkaz:
http://arxiv.org/abs/2307.14482
Methods for automatically flag poor performing-predictions are essential for safely implementing machine learning workflows into clinical practice and for identifying difficult cases during model training. We present a readily adoptable method using
Externí odkaz:
http://arxiv.org/abs/2305.09031
Autor:
Kline, Timothy L.
The analysis of biological networks encompasses a wide variety of fields from genomic research of protein-protein interaction networks, to the physiological study of biologically optimized tree-like vascular networks. It is certain that different bio
Externí odkaz:
http://arxiv.org/abs/2301.07179
Autor:
Kline, Timothy L.
Micro-CT images of the renal arteries of intact rat kidneys, which had their vasculature injected with the contrast agent polymer Microfil, were characterized. Measurement of inter-branch segment properties and the hierarchical structure of the vesse
Externí odkaz:
http://arxiv.org/abs/2212.10291
Autor:
Kline, Timothy L.
In a wide variety of fields, analysis of images involves defining a region and measuring its inherent properties. Such measurements include a region's surface area, curvature, volume, average gray and/or color scale, and so on. Furthermore, the subse
Externí odkaz:
http://arxiv.org/abs/2212.08810
The de facto standard of dynamic histogram binning for radiomic feature extraction leads to an elevated sensitivity to fluctuations in annotated regions. This may impact the majority of radiomic studies published recently and contribute to issues reg
Externí odkaz:
http://arxiv.org/abs/2211.05241
Autor:
Cao, Weiguo, Howe, Benjamin M., Ramanathan, Sumana, Rhodes, Nicholas G., Korfiatis, Panagiotis, Amrami, Kimberly K., Spinner, Robert J., Kline, Timothy L.
Publikováno v:
In European Journal of Radiology December 2024 181
Autor:
Ghanem, Ahmad, Borghol, Abdul Hamid, Munairdjy Debeh, Fadi George, Paul, Stefan, AlKhatib, Bassel, Harris, Peter C., Garimella, Pranav S., Hanna, Christian, Kline, Timothy L., Dahl, Neera K., Chebib, Fouad T.
Publikováno v:
In Kidney International Reports October 2024 9(10):2860-2882