Top Papers: Medizinische Bildgebung (2017)

Die 50 meistzitierten Arbeiten zu Medizinische Bildgebung aus dem Jahr 2017 (von 6.891 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.

2015 2016 2017 2018

#	Paper	Zitationen
1	Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network Hu Chen, Yi Zhang, Mannudeep K. Kalra et al. IEEE Transactions on Medical Imaging	1.800
2	Learning a variational network for reconstruction of accelerated MRI data Kerstin Hammernik, Teresa Klatzer, Erich Kobler et al. Magnetic Resonance in Medicine	1.674
3	Harmonization of cortical thickness measurements across scanners and sites Jean‐Philippe Fortin, Nicholas Cullen, Yvette I. Sheline et al. NeuroImage	1.532
4	A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction Jo Schlemper, José Caballero, Joseph V. Hajnal et al. IEEE Transactions on Medical Imaging	1.340
5	DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction Guang Yang, Simiao Yu, Hao Dong et al. IEEE Transactions on Medical Imaging	1.099
6	Generative Adversarial Networks for Noise Reduction in Low-Dose CT Jelmer M. Wolterink, Tim Leiner, Max A. Viergever et al. IEEE Transactions on Medical Imaging	1.035
7	Use of image registration and fusion algorithms and techniques in radiotherapy: Report of the AAPM Radiation Therapy Committee Task Group No. 132 Kristy K. Brock, Sasa Mutic, Todd McNutt et al. Medical Physics	824
8	68Ga-PSMA PET/CT: Joint EANM and SNMMI procedure guideline for prostate cancer imaging: version 1.0 Wolfgang P. Fendler, Matthias Eiber, Mohsen Beheshti et al. European Journal of Nuclear Medicine and Molecular Imaging	750
9	aLow-dose CT via convolutional neural network Hu Chen, Yi Zhang, Weihua Zhang et al. Biomedical Optics Express	742
10	Total-Body PET: Maximizing Sensitivity to Create New Opportunities for Clinical Research and Patient Care Simon R. Cherry, Terry Jones, Joel S. Karp et al. Journal of Nuclear Medicine	731
11	A deep convolutional neural network using directional wavelets for low‐dose X‐ray CT reconstruction Eunhee Kang, Junhong Min, Jong Chul Ye Medical Physics	696
12	MR-based synthetic CT generation using a deep convolutional neural network method Xiao Han Medical Physics	689
13	X-ray computed tomography of polymer composites S. C. Garcea, Ying Wang, Philip J. Withers Composites Science and Technology	673
14	Deep Learning with Convolutional Neural Network for Differentiation of Liver Masses at Dynamic Contrast-enhanced CT: A Preliminary Study Koichiro Yasaka, Hiroyuki Akai, Osamu Abe et al. Radiology	659
15	Wasserstein GAN Martín Arjovsky, Soumith Chintala, Léon Bottou arXiv (Cornell University)	610
16	Deep MR to CT Synthesis Using Unpaired Data Jelmer M. Wolterink, Anna M. Dinkla, M.H.F. Savenije et al. Lecture notes in computer science	580
17	Lung Cancer Screening With Low-Dose Computed Tomography in the United States—2010 to 2015 Ahmedin Jemal, Stacey A. Fedewa JAMA Oncology	530
18	First patients treated with a 1.5 T MRI-Linac: clinical proof of concept of a high-precision, high-field MRI guided radiotherapy treatment Bas W. Raaymakers, Ina M. Jürgenliemk‐Schulz, G.H. Bol et al. Physics in Medicine and Biology	528
19	ENETS Consensus Guidelines for the Standards of Care in Neuroendocrine Tumors: Radiological, Nuclear Medicine and Hybrid Imaging Anders Sundin, Rudolf Arnold, Éric Baudin et al. Neuroendocrinology	487
20	Modified Criteria for Radiographic Response Assessment in Glioblastoma Clinical Trials Benjamin M. Ellingson, Patrick Y. Wen, Timothy F. Cloughesy Neurotherapeutics	449
21	Semi-supervised Learning for Network-Based Cardiac MR Image Segmentation Wenjia Bai, Ozan Oktay, Matthew Sinclair et al. Lecture notes in computer science	445
22	3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study José Dolz, Christian Desrosiers, Ismail Ben Ayed NeuroImage	425
23	Deep Learning MR Imaging–based Attenuation Correction for PET/MR Imaging Fang Liu, Hyungseok Jang, Richard Kijowski et al. Radiology	408
24	A review of substitute CT generation for MRI-only radiation therapy Jens Edmund, Tufve Nyholm Radiation Oncology	370
25	Laboratory x-ray micro-computed tomography: a user guideline for biological samples Anton du Plessis, Chris Broeckhoven, Anina Guelpa et al. GigaScience	365
26	DeepNAT: Deep convolutional neural network for segmenting neuroanatomy Christian Wachinger, Martin Reuter, Tassilo Klein NeuroImage	363
27	Cancer‐Associated, Stimuli‐Driven, Turn on Theranostics for Multimodality Imaging and Therapy Xingshu Li, Jihoon Kim, Juyoung Yoon et al. Advanced Materials	361
28	SwissFEL: The Swiss X-ray Free Electron Laser Christopher J. Milne, Thomas Schietinger, M. Aiba et al. Applied Sciences	352
29	Nonrigid Image Registration Using Multi-scale 3D Convolutional Neural Networks Hessam Sokooti, Bob D. de Vos, Floris F. Berendsen et al. Lecture notes in computer science	351
30	On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task Wenqi Li, Guotai Wang, Lucas Fidon et al. Lecture notes in computer science	346
31	A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction Jo Schlemper, José Caballero, Joseph V. Hajnal et al. Lecture notes in computer science	342
32	Clinical Quantification of Myocardial Blood Flow Using PET: Joint Position Paper of the SNMMI Cardiovascular Council and the ASNC Venkatesh L. Murthy, Timothy M. Bateman, Rob Beanlands et al. Journal of Nuclear Medicine	341
33	EANM/EARL harmonization strategies in PET quantification: from daily practice to multicentre oncological studies Nicolas Aide, Charline Lasnon, Patrick Veit‐Haibach et al. European Journal of Nuclear Medicine and Molecular Imaging	339
34	Recommendations for Measuring Pulmonary Nodules at CT: A Statement from the Fleischner Society Alexander A. Bankier, Heber MacMahon, Jin Mo Goo et al. Radiology	335
35	Advances in neuro-oncology imaging Karl‐Josef Langen, Norbert Galldiks, Elke Hattingen et al. Nature Reviews Neurology	331
36	Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep Learning Marc Aubreville, Christian Knipfer, Nicolai Oetter et al. Scientific Reports	324
37	A Review on Real-Time 3D Ultrasound Imaging Technology Qinghua Huang, Zhaozheng Zeng BioMed Research International	318
38	The Updated NICE Guidelines: Cardiac CT as the First-Line Test for Coronary Artery Disease Alastair J. Moss, Michelle C. Williams, David E. Newby et al. Current Cardiovascular Imaging Reports	313
39	Fast and robust online adaptive planning in stereotactic MR-guided adaptive radiation therapy (SMART) for pancreatic cancer Omar Bohoudi, A. Bruynzeel, Suresh Senan et al. Radiotherapy and Oncology	311
40	Pushing the Limits in Time-of-Flight PET Imaging P. Lecoq IEEE Transactions on Radiation and Plasma Medical Sciences	309
41	Deep auto-context convolutional neural networks for standard-dose PET image estimation from low-dose PET/MRI Lei Xiang, Yu Qiao, Dong Nie et al. Neurocomputing	309
42	Systematic Review of Synthetic Computed Tomography Generation Methodologies for Use in Magnetic Resonance Imaging–Only Radiation Therapy Emily Johnstone, J. Wyatt, Ann Henry et al. International Journal of Radiation OncologyBiologyPhysics	306
43	Industrial X-Ray Computed Tomography Simone Carmignato, Wim Dewulf, Richard Leach —	296
44	History and future technical innovation in positron emission tomography Terry Jones, David W. Townsend Journal of Medical Imaging	294
45	Current Methods to Define Metabolic Tumor Volume in Positron Emission Tomography: Which One is Better? Hyung‐Jun Im, Tyler Bradshaw, Meiyappan Solaiyappan et al. Nuclear Medicine and Molecular Imaging	280
46	Influence of gray level discretization on radiomic feature stability for different CT scanners, tube currents and slice thicknesses: a comprehensive phantom study Ruben T. H. M. Larue, Janita E. van Timmeren, Evelyn E.C. de Jong et al. Acta Oncologica	280
47	FDG PET for therapy monitoring in Hodgkin and non-Hodgkin lymphomas Sally F. Barrington, Regine Kluge European Journal of Nuclear Medicine and Molecular Imaging	279
48	Low‐dose <scp>CT</scp> for the detection and classification of metastatic liver lesions: Results of the 2016 Low Dose <scp>CT</scp> Grand Challenge Cynthia H. McCollough, Adam C. Bartley, Rickey E. Carter et al. Medical Physics	279
49	Targeting Hypoxia to Improve Non–Small Cell Lung Cancer Outcome Ahmed Salem, Marie‐Claude Asselin, Bart Reymen et al. JNCI Journal of the National Cancer Institute	278
50	Tau PET imaging: present and future directions Laure Saint‐Aubert, Laëtitia Lemoine, Konstantinos Chiotis et al. Molecular Neurodegeneration	274

Top Papers: Medizinische Bildgebung (2017)

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