Top Papers: Medizinische Bildgebung (2018)

Die 50 meistzitierten Arbeiten zu Medizinische Bildgebung aus dem Jahr 2018 (von 7.886 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.

2016 2017 2018 2019

#	Paper	Zitationen
1	fastp: an ultra-fast all-in-one FASTQ preprocessor Shifu Chen, Yanqing Zhou, Yaru Chen et al. Bioinformatics	27.561
2	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	3.829
3	Image reconstruction by domain-transform manifold learning Bo Zhu, Jeremiah Zhe Liu, Stephen Cauley et al. Nature	1.693
4	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	1.567
5	Photon-counting CT: Technical Principles and Clinical Prospects Martin J. Willemink, Mats Persson, Amir Pourmorteza et al. Radiology	1.195
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	809
7	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	738
8	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	707
9	Learned Primal-Dual Reconstruction Jonas Adler, Ozan Oktem IEEE Transactions on Medical Imaging	686
10	Adjuvant Endocrine Therapy for Women With Hormone Receptor–Positive Breast Cancer: ASCO Clinical Practice Guideline Focused Update Harold J. Burstein, Christina Lacchetti, Holly Anderson et al. Journal of Clinical Oncology	614
11	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	607
12	Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction Chen Qin, Jo Schlemper, José Caballero et al. IEEE Transactions on Medical Imaging	606
13	Framing U-Net via Deep Convolutional Framelets: Application to Sparse-View CT Yoseob Han, Jong Chul Ye IEEE Transactions on Medical Imaging	579
14	fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Jure Žbontar, Florian Knöll, Anuroop Sriram et al. arXiv (Cornell University)	571
15	The evolution of image reconstruction for CT—from filtered back projection to artificial intelligence Martin J. Willemink, Peter B. Noël European Radiology	568
16	An Unsupervised Learning Model for Deformable Medical Image Registration Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu et al. —	566
17	The alfa and beta of tumours: a review of parameters of the linear-quadratic model, derived from clinical radiotherapy studies Caspar M. van Leeuwen, Arlene L. Oei, Johannes Crezee et al. Radiation Oncology	556
18	Image Reconstruction is a New Frontier of Machine Learning Ge Wang, Jong Ye, Klaus Mueller et al. IEEE Transactions on Medical Imaging	524
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	520
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	470
22	<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	451
23	3D conditional generative adversarial networks for high-quality PET image estimation at low dose Yan Wang, Biting Yu, Lei Wang et al. NeuroImage	450
24	Longitudinal tau PET in ageing and Alzheimer’s disease Clifford R. Jack, Heather J. Wiste, Christopher G. Schwarz et al. Brain	447
25	Radioactive Main Group and Rare Earth Metals for Imaging and Therapy Thomas I. Kostelnik, Chris Orvig Chemical Reviews	445
26	Production and integration of the ATLAS Insertable B-Layer B. Abbott, J. Albert, Fabrizio Alberti et al. Journal of Instrumentation	438
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	434
28	Translating and Segmenting Multimodal Medical Volumes with Cycle- and Shape-Consistency Generative Adversarial Network Zizhao Zhang, Lin Yang, Yefeng Zheng —	432
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	427
30	Medical Imaging Systems Andreas Maier, Stefan Steidl, Vincent Christlein et al. Lecture notes in computer science	403
31	A review on CT image noise and its denoising Manoj Diwakar, Manoj Kumar Biomedical Signal Processing and Control	397
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	395
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	389
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	388
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	378
36	A Postreconstruction Harmonization Method for Multicenter Radiomic Studies in PET Fanny Orlhac, Sarah Boughdad, Cathy Philippe et al. Journal of Nuclear Medicine	370
37	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	362
38	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	355
39	Automatic treatment planning based on three‐dimensional dose distribution predicted from deep learning technique Jiawei Fan, Jiazhou Wang, Zhi Chen et al. Medical Physics	350
40	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	348
41	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	346
42	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	343
43	Deep Learning for Prediction of Obstructive Disease From Fast Myocardial Perfusion SPECT Julián Betancur, Frédéric Commandeur, M Esmaeili Motlagh et al. JACC. Cardiovascular imaging	341
44	Current and Novel Techniques for Metal Artifact Reduction at CT: Practical Guide for Radiologists Masaki Katsura, Jiro Sato, Masaaki Akahane et al. Radiographics	328
45	Sharpness-Aware Low-Dose CT Denoising Using Conditional Generative Adversarial Network Yi Xin, Paul Babyn Journal of Digital Imaging	321
46	Prevalence and outcomes of incidental imaging findings: umbrella review Jack W. O’Sullivan, Tim Muntinga, Sam Grigg et al. BMJ	317
47	MR fingerprinting Deep RecOnstruction NEtwork (DRONE) Ouri Cohen, Bo Zhu, Matthew S. Rosen Magnetic Resonance in Medicine	304
48	Deep Learning in Neuroradiology Greg Zaharchuk, Enhao Gong, Max Wintermark et al. American Journal of Neuroradiology	297
49	Understanding and simulating SiPMs Fabio Acerbi, S. Gundacker Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment	297
50	A machine learning approach to radiogenomics of breast cancer: a study of 922 subjects and 529 DCE-MRI features Ashirbani Saha, Michael R. Harowicz, Lars J. Grimm et al. British Journal of Cancer	290

Top Papers: Medizinische Bildgebung (2018)

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