Literature DB >> 30773176

MITK Phenotyping: An open-source toolchain for image-based personalized medicine with radiomics.

Michael Götz1, Marco Nolden2, Klaus Maier-Hein3.   

Abstract

Radiomics - The extraction of quantitative features from radiologic images - shows increasing potential in contributing to modern personalized medicine approaches. MITK Phenotyping is an openly distributed radiomics framework implementing an exhaustive set of features, adhering to most recent international standards, and supporting a variety of different user interfaces and programming languages.
Copyright © 2018 The Authors. Published by Elsevier B.V. All rights reserved.

Keywords:  Image phenotyping; Machine learning; Open source software; Personalized medicine; Radiology image processing; Radiomics

Mesh：

Year:  2018        PMID： 30773176     DOI： 10.1016/j.radonc.2018.11.021

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN： 0167-8140            Impact factor:   6.280


  12 in total

1.  Radiomics in nuclear medicine: robustness, reproducibility, standardization, and how to avoid data analysis traps and replication crisis.

Authors:  Alex Zwanenburg
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-06-25       Impact factor: 9.236

2.  Benchmarking Various Radiomic Toolkit Features While Applying the Image Biomarker Standardization Initiative toward Clinical Translation of Radiomic Analysis.

Authors:  Mingxi Lei; Bino Varghese; Darryl Hwang; Steven Cen; Xiaomeng Lei; Bhushan Desai; Afshin Azadikhah; Assad Oberai; Vinay Duddalwar
Journal:  J Digit Imaging       Date:  2021-09-20       Impact factor: 4.903

Review 3.  [A primer on radiomics].

Authors:  Jacob M Murray; Georgios Kaissis; Rickmer Braren; Jens Kleesiek
Journal:  Radiologe       Date:  2020-01       Impact factor: 0.635

Review 4.  Diagnostic Utility of Radiomics in Thyroid and Head and Neck Cancers.

Authors:  Maryam Gul; Kimberley-Jane C Bonjoc; David Gorlin; Chi Wah Wong; Amirah Salem; Vincent La; Aleksandr Filippov; Abbas Chaudhry; Muhammad H Imam; Ammar A Chaudhry
Journal:  Front Oncol       Date:  2021-07-07       Impact factor: 6.244

5.  Joint Imaging Platform for Federated Clinical Data Analytics.

Authors:  Jonas Scherer; Marco Nolden; Jens Kleesiek; Jasmin Metzger; Klaus Kades; Verena Schneider; Michael Bach; Oliver Sedlaczek; Andreas M Bucher; Thomas J Vogl; Frank Grünwald; Jens-Peter Kühn; Ralf-Thorsten Hoffmann; Jörg Kotzerke; Oliver Bethge; Lars Schimmöller; Gerald Antoch; Hans-Wilhelm Müller; Andreas Daul; Konstantin Nikolaou; Christian la Fougère; Wolfgang G Kunz; Michael Ingrisch; Balthasar Schachtner; Jens Ricke; Peter Bartenstein; Felix Nensa; Alexander Radbruch; Lale Umutlu; Michael Forsting; Robert Seifert; Ken Herrmann; Philipp Mayer; Hans-Ulrich Kauczor; Tobias Penzkofer; Bernd Hamm; Winfried Brenner; Roman Kloeckner; Christoph Düber; Mathias Schreckenberger; Rickmer Braren; Georgios Kaissis; Marcus Makowski; Matthias Eiber; Andrei Gafita; Rupert Trager; Wolfgang A Weber; Jakob Neubauer; Marco Reisert; Michael Bock; Fabian Bamberg; Jürgen Hennig; Philipp Tobias Meyer; Juri Ruf; Uwe Haberkorn; Stefan O Schoenberg; Tristan Kuder; Peter Neher; Ralf Floca; Heinz-Peter Schlemmer; Klaus Maier-Hein
Journal:  JCO Clin Cancer Inform       Date:  2020-11

Review 6.  Radiomics and radiogenomics in ovarian cancer: a literature review.

Authors:  S Nougaret; Cathal McCague; Hichem Tibermacine; Hebert Alberto Vargas; Stefania Rizzo; E Sala
Journal:  Abdom Radiol (NY)       Date:  2020-11-11

Review 7.  Immunotherapy in Metastatic Colorectal Cancer: Could the Latest Developments Hold the Key to Improving Patient Survival?

Authors:  Emmanouil Damilakis; Dimitrios Mavroudis; Maria Sfakianaki; John Souglakos
Journal:  Cancers (Basel)       Date:  2020-04-06       Impact factor: 6.639

8.  Technical Note: Ontology-guided radiomics analysis workflow (O-RAW).

Authors:  Zhenwei Shi; Alberto Traverso; Johan van Soest; Andre Dekker; Leonard Wee
Journal:  Med Phys       Date:  2019-10-25       Impact factor: 4.071

9.  Reliability and prognostic value of radiomic features are highly dependent on choice of feature extraction platform.

Authors:  Isabella Fornacon-Wood; Hitesh Mistry; Christoph J Ackermann; Fiona Blackhall; Andrew McPartlin; Corinne Faivre-Finn; Gareth J Price; James P B O'Connor
Journal:  Eur Radiol       Date:  2020-06-01       Impact factor: 5.315

Review 10.  Radiogenomics of lung cancer.

Authors:  Chi Wah Wong; Ammar Chaudhry
Journal:  J Thorac Dis       Date:  2020-09       Impact factor: 3.005
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