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European Journal of Nuclear Medicine and Molecular Imaging

Ausgabe 13/2019

Inhalt (23 Artikel)

Editorial

EJNMMI supplement: bringing AI and radiomics to nuclear medicine

Patrick Veit-Haibach, Irène Buvat, Ken Herrmann

Review Article

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

Open Access Review Article

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

Martina Sollini, Lidija Antunovic, Arturo Chiti, Margarita Kirienko

Review Article

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

Original Article

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

Andreas Holzinger, Benjamin Haibe-Kains, Igor Jurisica

Original Article

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

Hossein Arabi, Guodong Zeng, Guoyan Zheng, Habib Zaidi

Open Access Original Article

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

Original Article

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

Original Article

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

Open Access Original Article

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

Original Article

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

Review Article

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

Open Access Review Article

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

Delphine Boche, Alexander Gerhard, Elena Rodriguez-Vieitez

Open Access Review Article

Engineered antibodies: new possibilities for brain PET?

Dag Sehlin, Stina Syvänen, Bénédicte Ballanger, Henryk Barthel, Gérard N Bischof, Delphine Boche, Hennig Boecker, Karl Peter Bohn, Per Borghammer, Donna Cross, Donato Di Monte, Alexander Drzezga, Heike Endepols, Kathrin Giehl, Michel Goedert, Jochen Hammes, Oskar Hansson, Karl Herholz, Günter Höglinger, Merle Hönig, Frank Jessen, Thomas Klockgether, Pierre Lafaye, Adriaan Lammerstma, Eckhard Mandelkow, Eva-Maria Mandelkow, Andreas Maurer, Brit Mollenhauer, Bernd Neumaier, Agneta Nordberg, Özgur Onur, Kathrin Reetz, Elena Rodriguez-Vietez, Axel Rominger, James Rowe, Osama Sabri, Anja Schneider, Antonio Strafella, Stina Syvänen, Thilo van Eimeren, Neil Vasdev, Victor Villemagne, Dieter Willbold