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Top Papers: Medizinische Bildgebung (2018)

Die 50 meistzitierten Arbeiten zu Medizinische Bildgebung aus dem Jahr 2018 (von 7.179 insgesamt).

Medizinische Bildgebung ist ein Grundpfeiler der modernen Diagnostik. Ob MRT, CT, Ultraschall oder PET – die Verfahren liefern detaillierte Einblicke in den menschlichen Körper und ermöglichen Früherkennung, Therapieplanung und Verlaufskontrolle. Die Forschung in diesem Bereich verbessert kontinuierlich Bildqualität, Geschwindigkeit und Auswertungsmethoden.

#PaperZitationen
1

An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics

Jianfang Liu, Tara M. Lichtenberg, Katherine A. Hoadley et al.

Cell

3.881
2

Image reconstruction by domain-transform manifold learning

Bo Zhu, Jeremiah Zhe Liu, Stephen Cauley et al.

Nature

1.703
3

Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual Loss

Qingsong Yang, Pingkun Yan, Yanbo Zhang et al.

IEEE Transactions on Medical Imaging

1.595
4

Photon-counting CT: Technical Principles and Clinical Prospects

Martin J. Willemink, Mats Persson, Amir Pourmorteza et al.

Radiology

1.221
5

An overview of deep learning in medical imaging focusing on MRI

Lundervold, Alexander Selvikvåg, Lundervold, Arvid

Bergen Open Research Archive (BORA) (University of Bergen)

1.036
6

A deep learning framework for unsupervised affine and deformable image registration

Bob D. de Vos, Floris F. Berendsen, Max A. Viergever et al.

Medical Image Analysis

817
7

CSF biomarkers of Alzheimer's disease concord with amyloid‐β PET and predict clinical progression: A study of fully automated immunoassays in BioFINDER and ADNI cohorts

Oskar Hansson, John Seibyl, Erik Stomrud et al.

Alzheimer s & Dementia

815
8

B97-3c: A revised low-cost variant of the B97-D density functional method

Jan Gerit Brandenburg, Christoph Bannwarth, Andreas Hansen et al.

The Journal of Chemical Physics

749
9

89Zr-atezolizumab imaging as a non-invasive approach to assess clinical response to PD-L1 blockade in cancer

Frederike Bensch, Elly L. van der Veen, Marjolijn N. Lub–de Hooge et al.

Nature Medicine

719
10

Learned Primal-Dual Reconstruction

Jonas Adler, Ozan Oktem

IEEE Transactions on Medical Imaging

694
11

An Unsupervised Learning Model for Deformable Medical Image Registration

Balakrishnan, Guha, Zhao, Amy, Sabuncu, Mert R. et al.

DSpace@MIT (Massachusetts Institute of Technology)

685
12

Radiomics of CT Features May Be Nonreproducible and Redundant: Influence of CT Acquisition Parameters

R. Berenguer, María del Rosario Pastor-Juan, Jesús Canales‐Vázquez et al.

Radiology

612
13

Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction

Chen Qin, Jo Schlemper, José Caballero et al.

IEEE Transactions on Medical Imaging

611
14

Framing U-Net via Deep Convolutional Framelets: Application to Sparse-View CT

Yoseob Han, Jong Chul Ye

IEEE Transactions on Medical Imaging

583
15

The evolution of image reconstruction for CT—from filtered back projection to artificial intelligence

Martin J. Willemink, Peter B. Noël

European Radiology

579
16

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Jure Žbontar, Florian Knöll, Anuroop Sriram et al.

arXiv (Cornell University)

574
17

An Unsupervised Learning Model for Deformable Medical Image Registration

Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu et al.

572
18

Image Reconstruction is a New Frontier of Machine Learning

Ge Wang, Jong Ye, Klaus Mueller et al.

IEEE Transactions on Medical Imaging

527
19

Joint EANM/EANO/RANO practice guidelines/SNMMI procedure standards for imaging of gliomas using PET with radiolabelled amino acids and [18F]FDG: version 1.0

Ian Law, Nathalie L. Albert, Javier Arbizu et al.

European Journal of Nuclear Medicine and Molecular Imaging

525
20

Innovative Target for Production of Technetium-99m by Biomedical Cyclotron

Hanna Skliarova, Sara Cisternino, Gianfranco Cicoria et al.

Molecules

499
21

Convolutional Neural Network Based Metal Artifact Reduction in X-Ray Computed Tomography

Yanbo Zhang, Hengyong Yu

IEEE Transactions on Medical Imaging

477
22

Longitudinal tau PET in ageing and Alzheimer’s disease

Clifford R. Jack, Heather J. Wiste, Christopher G. Schwarz et al.

Brain

455
23

<scp>KIKI</scp>‐net: cross‐domain convolutional neural networks for reconstructing undersampled magnetic resonance images

Taejoon Eo, Yohan Jun, Taeseong Kim et al.

Magnetic Resonance in Medicine

455
24

3D conditional generative adversarial networks for high-quality PET image estimation at low dose

Yan Wang, Biting Yu, Lei Wang et al.

NeuroImage

453
25

Radioactive Main Group and Rare Earth Metals for Imaging and Therapy

Thomas I. Kostelnik, Chris Orvig

Chemical Reviews

453
26

Production and integration of the ATLAS Insertable B-Layer

B. Abbott, J. Albert, Fabrizio Alberti et al.

Journal of Instrumentation

441
27

A Sparse-View CT Reconstruction Method Based on Combination of DenseNet and Deconvolution

Zhicheng Zhang, Xiaokun Liang, Dong Xu et al.

IEEE Transactions on Medical Imaging

439
28

Translating and Segmenting Multimodal Medical Volumes with Cycle- and Shape-Consistency Generative Adversarial Network

Zizhao Zhang, Lin Yang, Yefeng Zheng

434
29

LEARN: Learned Experts’ Assessment-Based Reconstruction Network for Sparse-Data CT

Hu Chen, Yi Zhang, Yunjin Chen et al.

IEEE Transactions on Medical Imaging

430
30

A review on CT image noise and its denoising

Manoj Diwakar, Manoj Kumar

Biomedical Signal Processing and Control

408
31

Medical Imaging Systems

Joachim Hornegger, Vincent Christlein, Stefan Steidl et al.

Lecture notes in computer science

405
32

3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network

Hongming Shan, Yi Zhang, Qingsong Yang et al.

IEEE Transactions on Medical Imaging

397
33

Quantitative imaging biomarkers alliance (QIBA) recommendations for improved precision of DWI and DCE‐MRI derived biomarkers in multicenter oncology trials

Amita Shukla‐Dave, Nancy A. Obuchowski, Thomas L. Chenevert et al.

Journal of Magnetic Resonance Imaging

395
34

Scan‐specific robust artificial‐neural‐networks for k‐space interpolation (RAKI) reconstruction: Database‐free deep learning for fast imaging

Mehmet Akçakaya, Steen Moeller, Sebastian Weingärtner et al.

Magnetic Resonance in Medicine

390
35

Single Photon Emission Computed Tomography (SPECT) Myocardial Perfusion Imaging Guidelines: Instrumentation, Acquisition, Processing, and Interpretation

Sharmila Dorbala, Karthik Ananthasubramaniam, Ian S. Armstrong et al.

Journal of Nuclear Cardiology

387
36

A Postreconstruction Harmonization Method for Multicenter Radiomic Studies in PET

Fanny Orlhac, Sarah Boughdad, Cathy Philippe et al.

Journal of Nuclear Medicine

375
37

Deuterium metabolic imaging (DMI) for MRI-based 3D mapping of metabolism in vivo

Henk M. De Feyter, Kevin L. Behar, Zachary Corbin et al.

Science Advances

365
38

CNN-Based Projected Gradient Descent for Consistent CT Image Reconstruction

Harshit Gupta, Kyong Hwan Jin, Ha Q. Nguyen et al.

IEEE Transactions on Medical Imaging

363
39

An Overview of Targeted Alpha Therapy with <sup>225</sup>Actinium and <sup>213</sup>Bismuth

Aliyah Morgenstern, Christos Apostolidis, Clemens Kratochwil et al.

Current Radiopharmaceuticals

353
40

Deep Convolutional Framelet Denosing for Low-Dose CT via Wavelet Residual Network

Eun‐Hee Kang, Won Chang, Jaejun Yoo et al.

IEEE Transactions on Medical Imaging

347
41

Chemistry for Positron Emission Tomography: Recent Advances in <sup>11</sup>C‐, <sup>18</sup>F‐, <sup>13</sup>N‐, and <sup>15</sup>O‐Labeling Reactions

Xiaoyun Deng, Jian Rong, Lu Wang et al.

Angewandte Chemie International Edition

346
42

Deep Learning for Prediction of Obstructive Disease From Fast Myocardial Perfusion SPECT

Julián Betancur, Frédéric Commandeur, M Esmaeili Motlagh et al.

JACC. Cardiovascular imaging

343
43

Current and Novel Techniques for Metal Artifact Reduction at CT: Practical Guide for Radiologists

Masaki Katsura, Jiro Sato, Masaaki Akahane et al.

Radiographics

331
44

Sharpness-Aware Low-Dose CT Denoising Using Conditional Generative Adversarial Network

Yi Xin, Paul Babyn

Journal of Digital Imaging

328
45

MR fingerprinting Deep RecOnstruction NEtwork (DRONE)

Ouri Cohen, Bo Zhu, Matthew S. Rosen

Magnetic Resonance in Medicine

311
46

Understanding and simulating SiPMs

Fabio Acerbi, S. Gundacker

Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment

302
47

Recent advances on the development of phantoms using 3D printing for imaging with CT, MRI, PET, SPECT, and ultrasound

Valeria Filippou, Charalampos Tsoumpas

Medical Physics

300
48

Deep Learning in Neuroradiology

Greg Zaharchuk, Enhao Gong, Max Wintermark et al.

American Journal of Neuroradiology

298
49

PET Image Reconstruction Using Deep Image Prior

Kuang Gong, Ciprian Catana, Jinyi Qi et al.

IEEE Transactions on Medical Imaging

289
50

High‐Z Sensitized Plastic Scintillators: A Review

Tibor Jacob Hajagos, Chao Liu, Nerine J. Cherepy et al.

Advanced Materials

280

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