Reproducibility of radiomic features using network analysis and its application in Wasserstein k-means clustering-Reference-Cited by-同舟云学术

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Reproducibility of radiomic features using network analysis and its application in Wasserstein k-means clustering

Published:2021-04-30 Issue:03 Volume:8 Page:
ISSN:2329-4302
Container-title:Journal of Medical Imaging
language:
Short-container-title:J. Med. Imag.

Author:

Oh Jung Hun¹,Apte Aditya P.¹,Katsoulakis Evangelia²,Riaz Nadeem³,Hatzoglou Vaios⁴,Yu Yao³,Mahmood Usman¹,Veeraraghavan Harini¹,Pouryahya Maryam¹,Iyer Aditi¹,Shukla-Dave Amita¹,Tannenbaum Allen⁵,Lee Nancy Y.³,Deasy Joseph O.¹

Affiliation:

1. Memorial Sloan Kettering Cancer Center, Department of Medical Physics, New York

2. Veterans Affairs, James A Haley, Department of Radiation Oncology, Tampa, Florida

3. Memorial Sloan Kettering Cancer Center, Department of Radiation Oncology, New York

4. Memorial Sloan Kettering Cancer Center, Department of Radiology, New York

5. Stony Brook University, Department of Computer Science, Stony Brook, New York

Funder

National Institutes of Health

Air Force Office of Scientific Research

Publisher

SPIE-Intl Soc Optical Eng

Subject

Radiology Nuclear Medicine and imaging

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Abnormal static and dynamic functional network connectivity in stable chronic obstructive pulmonary disease;Frontiers in Aging Neuroscience;2022-10-17

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