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European Journal of Nuclear Medicine and Molecular Imaging

European Journal of Nuclear Medicine and Molecular Imaging 13/2019

Ausgabe 13/2019

Inhaltsverzeichnis ( 23 Artikel )

25.06.2019 | Editorial | Ausgabe 13/2019

EJNMMI supplement: bringing AI and radiomics to nuclear medicine

Patrick Veit-Haibach, Irène Buvat, Ken Herrmann

06.07.2019 | Review Article | Ausgabe 13/2019

Artificial intelligence, machine (deep) learning and radio(geno)mics: definitions and nuclear medicine imaging applications

Dimitris Visvikis, Catherine Cheze Le Rest, Vincent Jaouen, Mathieu Hatt

25.06.2019 | Original Article | Ausgabe 13/2019

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

Alex Zwanenburg

18.06.2019 | Review Article | Ausgabe 13/2019 Open Access

Towards clinical application of image mining: a systematic review on artificial intelligence and radiomics

Martina Sollini, Lidija Antunovic, Arturo Chiti, Margarita Kirienko

11.07.2019 | Review Article | Ausgabe 13/2019

AI-based applications in hybrid imaging: how to build smart and truly multi-parametric decision models for radiomics

Isabella Castiglioni, Francesca Gallivanone, Paolo Soda, Michele Avanzo, Joseph Stancanello, Marco Aiello, Matteo Interlenghi, Marco Salvatore

29.06.2019 | Review Article | Ausgabe 13/2019

Next generation research applications for hybrid PET/MR and PET/CT imaging using deep learning

Greg Zaharchuk

07.06.2019 | Review Article | Ausgabe 13/2019

Physician centred imaging interpretation is dying out — why should I be a nuclear medicine physician?

Roland Hustinx

12.06.2019 | Review Article | Ausgabe 13/2019 Open Access

What can artificial intelligence teach us about the molecular mechanisms underlying disease?

Gary J. R. Cook, Vicky Goh

15.06.2019 | Original Article | Ausgabe 13/2019

Why imaging data alone is not enough: AI-based integration of imaging, omics, and clinical data

Andreas Holzinger, Benjamin Haibe-Kains, Igor Jurisica

31.10.2019 | Editorial | Ausgabe 13/2019

Artificial intelligence and radiomics in nuclear medicine: potentials and challenges

Cumali Aktolun

05.11.2019 | Review Article | Ausgabe 13/2019

Quantitative imaging biomarkers in nuclear medicine: from SUV to image mining studies. Highlights from annals of nuclear medicine 2018

Martina Sollini, Francesco Bandera, Margarita Kirienko

01.07.2019 | Original Article | Ausgabe 13/2019

Novel adversarial semantic structure deep learning for MRI-guided attenuation correction in brain PET/MRI

Hossein Arabi, Guodong Zeng, Guoyan Zheng, Habib Zaidi

08.07.2019 | Original Article | Ausgabe 13/2019 Open Access

Radiomic features of glucose metabolism enable prediction of outcome in mantle cell lymphoma

Marius E. Mayerhoefer, Christopher C. Riedl, Anita Kumar, Peter Gibbs, Michael Weber, Ilan Tal, Juliana Schilksy, Heiko Schöder

18.07.2019 | Original Article | Ausgabe 13/2019

Integrating manual diagnosis into radiomics for reducing the false positive rate of 18F-FDG PET/CT diagnosis in patients with suspected lung cancer

Fei Kang, Wei Mu, Jie Gong, Shengjun Wang, Guoquan Li, Guiyu Li, Wei Qin, Jie Tian, Jing Wang

29.08.2019 | Original Article | Ausgabe 13/2019

PET image denoising using unsupervised deep learning

Jianan Cui, Kuang Gong, Ning Guo, Chenxi Wu, Xiaxia Meng, Kyungsang Kim, Kun Zheng, Zhifang Wu, Liping Fu, Baixuan Xu, Zhaohui Zhu, Jiahe Tian, Huafeng Liu, Quanzheng Li

04.09.2019 | Original Article | Ausgabe 13/2019 Open Access

Prediction of outcome in anal squamous cell carcinoma using radiomic feature analysis of pre-treatment FDG PET-CT

P. J. Brown, J. Zhong, R. Frood, S. Currie, A. Gilbert, A. L. Appelt, D. Sebag-Montefiore, A. Scarsbrook

31.08.2019 | Original Article | Ausgabe 13/2019

Automatic classification of dopamine transporter SPECT: deep convolutional neural networks can be trained to be robust with respect to variable image characteristics

Markus Wenzel, Fausto Milletari, Julia Krüger, Catharina Lange, Michael Schenk, Ivayla Apostolova, Susanne Klutmann, Marcus Ehrenburg, Ralph Buchert

06.11.2019 | Letter to the Editor | Ausgabe 13/2019

Lack of evidence and criteria to evaluate artificial intelligence and radiomics tools to be implemented in clinical settings

Qian Zhou, Yi-heng Cao, Zhi-hang Chen

30.08.2019 | Reply | Ausgabe 13/2019

Reply to: “Lack of evidence and criteria to evaluate artificial intelligence and radiomics tools to be implemented in clinical settings”

Martina Sollini, Margarita Kirienko

30.10.2019 | Editorial | Ausgabe 13/2019

From molecules to system failure: translational frontiers of multimodal imaging in neurodegenerative diseases

Thilo van Eimeren, Alexander Drzezga

11.07.2019 | Review Article | Ausgabe 13/2019

Connectomics and molecular imaging in neurodegeneration

Gérard N. Bischof, Michael Ewers, Nicolai Franzmeier, Michel J. Grothe, Merle Hoenig, Ece Kocagoncu, Julia Neitzel, James B Rowe, Antonio Strafella, Alexander Drzezga, Thilo van Eimeren, on behalf of the MINC faculty

08.08.2019 | Review Article | Ausgabe 13/2019 Open Access

Prospects and challenges of imaging neuroinflammation beyond TSPO in Alzheimer’s disease

Delphine Boche, Alexander Gerhard, Elena Rodriguez-Vieitez, on behalf of the MINC Faculty

24.07.2019 | Review Article | Ausgabe 13/2019 Open Access

Engineered antibodies: new possibilities for brain PET?

Dag Sehlin, Stina Syvänen, on behalf of the MINC faculty

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