Literature DB >> 24471381

Behind the numbers: Decoding molecular phenotypes with radiogenomics--guiding principles and technical considerations.

Michael D Kuo1, Neema Jamshidi.   

Abstract

Mesh：

Year:  2014        PMID： 24471381     DOI： 10.1148/radiol.13132195

Source DB:  PubMed          Journal:  Radiology        ISSN： 0033-8419            Impact factor:   11.105


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  81 in total

1.  Image-Guided Biopsy in the Era of Personalized Cancer Care: Proceedings from the Society of Interventional Radiology Research Consensus Panel.

Authors:  Alda L Tam; Howard J Lim; Ignacio I Wistuba; Anobel Tamrazi; Michael D Kuo; Etay Ziv; Stephen Wong; Albert J Shih; Robert J Webster; Gregory S Fischer; Sunitha Nagrath; Suzanne E Davis; Sarah B White; Kamran Ahrar
Journal:  J Vasc Interv Radiol       Date:  2015-11-25       Impact factor: 3.464

2.  Special Section Guest Editorial:Radiomics and Imaging Genomics: Quantitative Imaging for Precision Medicine.

Authors:  Sandy Napel; Maryellen Giger
Journal:  J Med Imaging (Bellingham)       Date:  2015-12-11

3.  Developing a utility decision framework to evaluate predictive models in breast cancer risk estimation.

Authors:  Yirong Wu; Craig K Abbey; Xianqiao Chen; Jie Liu; David C Page; Oguzhan Alagoz; Peggy Peissig; Adedayo A Onitilo; Elizabeth S Burnside
Journal:  J Med Imaging (Bellingham)       Date:  2015-08-17

Review 4.  Towards precision medicine: from quantitative imaging to radiomics.

Authors:  U Rajendra Acharya; Yuki Hagiwara; Vidya K Sudarshan; Wai Yee Chan; Kwan Hoong Ng
Journal:  J Zhejiang Univ Sci B       Date:  2018 Jan.       Impact factor: 3.066

5.  Comparing the value of mammographic features and genetic variants in breast cancer risk prediction.

Authors:  Yirong Wu; Jie Liu; David Page; Peggy Peissig; Catherine McCarty; Adedayo A Onitilo; Elizabeth S Burnside
Journal:  AMIA Annu Symp Proc       Date:  2014-11-14

6.  Radiogenomics in Medulloblastoma: Can the Human Brain Compete with Artificial Intelligence and Machine Learning?

Authors:  A Dasgupta; T Gupta
Journal:  AJNR Am J Neuroradiol       Date:  2019-04-11       Impact factor: 3.825

Review 7.  Review of quantitative multiscale imaging of breast cancer.

Authors:  Michael A Pinkert; Lonie R Salkowski; Patricia J Keely; Timothy J Hall; Walter F Block; Kevin W Eliceiri
Journal:  J Med Imaging (Bellingham)       Date:  2018-01-22

8.  Reliable gene mutation prediction in clear cell renal cell carcinoma through multi-classifier multi-objective radiogenomics model.

Authors:  Xi Chen; Zhiguo Zhou; Raquibul Hannan; Kimberly Thomas; Ivan Pedrosa; Payal Kapur; James Brugarolas; Xuanqin Mou; Jing Wang
Journal:  Phys Med Biol       Date:  2018-10-24       Impact factor: 3.609

9.  Predicting Breast Cancer Molecular Subtype with MRI Dataset Utilizing Convolutional Neural Network Algorithm.

Authors:  Richard Ha; Simukayi Mutasa; Jenika Karcich; Nishant Gupta; Eduardo Pascual Van Sant; John Nemer; Mary Sun; Peter Chang; Michael Z Liu; Sachin Jambawalikar
Journal:  J Digit Imaging       Date:  2019-04       Impact factor: 4.056

10.  Radiomic features predict Ki-67 expression level and survival in lower grade gliomas.

Authors:  Yiming Li; Zenghui Qian; Kaibin Xu; Kai Wang; Xing Fan; Shaowu Li; Xing Liu; Yinyan Wang; Tao Jiang
Journal:  J Neurooncol       Date:  2017-09-12       Impact factor: 4.130
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