Literature DB >> 29322066

Special Section Guest Editorial: Radiomics and Deep Learning.

Despina Kontos1, Ronald M Summers2, Maryellen Giger3.   

Abstract

This guest editorial introduces and summarizes the JMI Special Section on Radiomics and Deep Learning.

Year:  2018        PMID： 29322066      PMCID： PMC5752704          DOI： 10.1117/1.JMI.4.4.041301

Source DB:  PubMed          Journal:  J Med Imaging (Bellingham)        ISSN： 2329-4302


  4 in total

Review 1.  Anniversary paper: History and status of CAD and quantitative image analysis: the role of Medical Physics and AAPM.

Authors:  Maryellen L Giger; Heang-Ping Chan; John Boone
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

Review 2.  Breast image analysis for risk assessment, detection, diagnosis, and treatment of cancer.

Authors:  Maryellen L Giger; Nico Karssemeijer; Julia A Schnabel
Journal:  Annu Rev Biomed Eng       Date:  2013-05-13       Impact factor: 9.590

3.  Computerized detection of clustered microcalcifications in digital mammograms using a shift-invariant artificial neural network.

Authors:  W Zhang; K Doi; M L Giger; Y Wu; R M Nishikawa; R A Schmidt
Journal:  Med Phys       Date:  1994-04       Impact factor: 4.071

Review 4.  Radiomics: extracting more information from medical images using advanced feature analysis.

Authors:  Philippe Lambin; Emmanuel Rios-Velazquez; Ralph Leijenaar; Sara Carvalho; Ruud G P M van Stiphout; Patrick Granton; Catharina M L Zegers; Robert Gillies; Ronald Boellard; André Dekker; Hugo J W L Aerts
Journal:  Eur J Cancer       Date:  2012-01-16       Impact factor: 9.162
  4 in total
  7 in total

Review 1.  What is new in computer vision and artificial intelligence in medical image analysis applications.

Authors:  Jimena Olveres; Germán González; Fabian Torres; José Carlos Moreno-Tagle; Erik Carbajal-Degante; Alejandro Valencia-Rodríguez; Nahum Méndez-Sánchez; Boris Escalante-Ramírez
Journal:  Quant Imaging Med Surg       Date:  2021-08

2.  Medical image fusion by sparse-based modified fusion framework using block total least-square update dictionary learning algorithm.

Authors:  Lalit Kumar Saini; Pratistha Mathur
Journal:  J Med Imaging (Bellingham)       Date:  2022-05-26

3.  Emergence of Radiomics: Novel Methodology Identifying Imaging Biomarkers of Disease in Diagnosis, Response, and Progression.

Authors:  Edward Florez; Ali Fatemi; Pier Paolo Claudio; Candace M Howard
Journal:  SM J Clin Med Imaging       Date:  2018-03-15

Review 4.  How to develop a meaningful radiomic signature for clinical use in oncologic patients.

Authors:  Nikolaos Papanikolaou; Celso Matos; Dow Mu Koh
Journal:  Cancer Imaging       Date:  2020-05-01       Impact factor: 3.909

Review 5.  Machine Learning and Radiomics Applications in Esophageal Cancers Using Non-Invasive Imaging Methods-A Critical Review of Literature.

Authors:  Chen-Yi Xie; Chun-Lap Pang; Benjamin Chan; Emily Yuen-Yuen Wong; Qi Dou; Varut Vardhanabhuti
Journal:  Cancers (Basel)       Date:  2021-05-19       Impact factor: 6.639

6.  Deep Neural Networks and Transfer Learning on a Multivariate Physiological Signal Dataset.

Authors:  Andrea Bizzego; Giulio Gabrieli; Gianluca Esposito
Journal:  Bioengineering (Basel)       Date:  2021-03-06

7.  Improving the Efficacy of Deep-Learning Models for Heart Beat Detection on Heterogeneous Datasets.

Authors:  Andrea Bizzego; Giulio Gabrieli; Michelle Jin Yee Neoh; Gianluca Esposito
Journal:  Bioengineering (Basel)       Date:  2021-11-28
  7 in total

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