Top Papers: Medizinische Bildgebung (2017)

Die 50 meistzitierten Arbeiten zu Medizinische Bildgebung aus dem Jahr 2017 (von 7.493 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	1.769
2	Learning a variational network for reconstruction of accelerated MRI data Kerstin Hammernik, Teresa Klatzer, Erich Kobler et al. Magnetic Resonance in Medicine	1.648
3	Harmonization of cortical thickness measurements across scanners and sites Jean‐Philippe Fortin, Nicholas Cullen, Yvette I. Sheline et al. NeuroImage	1.501
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	1.331
5	Short-Course Radiation plus Temozolomide in Elderly Patients with Glioblastoma James Perry, Normand Laperrière, Christopher J. O’Callaghan et al. New England Journal of Medicine	1.144
6	NoRMCorre: An online algorithm for piecewise rigid motion correction of calcium imaging data Eftychios A. Pnevmatikakis, Andrea Giovannucci Journal of Neuroscience Methods	1.117
7	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	1.094
8	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	1.026
9	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	807
10	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	744
11	aLow-dose CT via convolutional neural network Hu Chen, Yi Zhang, Weihua Zhang et al. Biomedical Optics Express	736
12	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	715
13	A deep convolutional neural network using directional wavelets for low‐dose X‐ray CT reconstruction Eunhee Kang, Junhong Min, Jong Chul Ye Medical Physics	689
14	X-ray computed tomography of polymer composites S. C. Garcea, Ying Wang, Philip J. Withers Composites Science and Technology	664
15	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	652
16	Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI Nathaniel Braman, Maryam Etesami, Prateek Prasanna et al. Breast Cancer Research	627
17	Wasserstein GAN Martín Arjovsky, Soumith Chintala, Léon Bottou arXiv (Cornell University)	605
18	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	571
19	Intrinsic dependencies of <scp>CT</scp> radiomic features on voxel size and number of gray levels M. Shafiq Hassan, Geoffrey Zhang, Kujtim Latifi et al. Medical Physics	569
20	Lung Cancer Screening With Low-Dose Computed Tomography in the United States—2010 to 2015 Ahmedin Jemal, Stacey A. Fedewa JAMA Oncology	527
21	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	522
22	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	484
23	Semi-supervised Learning for Network-Based Cardiac MR Image Segmentation Wenjia Bai, Ozan Oktay, Matthew Sinclair et al. Lecture notes in computer science	439
24	Modified Criteria for Radiographic Response Assessment in Glioblastoma Clinical Trials Benjamin M. Ellingson, Patrick Y. Wen, Timothy F. Cloughesy Neurotherapeutics	437
25	3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study José Dolz, Christian Desrosiers, Ismail Ben Ayed NeuroImage	421
26	Deep Learning MR Imaging–based Attenuation Correction for PET/MR Imaging Fang Liu, Hyungseok Jang, Richard Kijowski et al. Radiology	403
27	Delineation of the primary tumour Clinical Target Volumes (CTV-P) in laryngeal, hypopharyngeal, oropharyngeal and oral cavity squamous cell carcinoma: AIRO, CACA, DAHANCA, EORTC, GEORCC, GORTEC, HKNPCSG, HNCIG, IAG-KHT, LPRHHT, NCIC CTG, NCRI, NRG Oncology, PHNS, SBRT, SOMERA, SRO, SSHNO, TROG consensus guidelines Vincent Grégoire, Mererid Evans, Quynh‐Thu Le et al. Radiotherapy and Oncology	386
28	A review of substitute CT generation for MRI-only radiation therapy Jens Edmund, Tufve Nyholm Radiation Oncology	365
29	Clinical evaluation of atlas and deep learning based automatic contouring for lung cancer Tim Lustberg, Johan van Soest, Mark J. Gooding et al. Radiotherapy and Oncology	361
30	Laboratory x-ray micro-computed tomography: a user guideline for biological samples Anton du Plessis, Chris Broeckhoven, Anina Guelpa et al. GigaScience	361
31	DeepNAT: Deep convolutional neural network for segmenting neuroanatomy Christian Wachinger, Martin Reuter, Tassilo Klein NeuroImage	360
32	Cancer‐Associated, Stimuli‐Driven, Turn on Theranostics for Multimodality Imaging and Therapy Xingshu Li, Jihoon Kim, Juyoung Yoon et al. Advanced Materials	356
33	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	348
34	SwissFEL: The Swiss X-ray Free Electron Laser Christopher J. Milne, Thomas Schietinger, M. Aiba et al. Applied Sciences	347
35	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
36	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	341
37	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	336
38	Recommendations for Measuring Pulmonary Nodules at CT: A Statement from the Fleischner Society Alexander A. Bankier, Heber MacMahon, Jin Mo Goo et al. Radiology	333
39	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	329
40	Advances in neuro-oncology imaging Karl‐Josef Langen, Norbert Galldiks, Elke Hattingen et al. Nature Reviews Neurology	328
41	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	322
42	A Review on Real-Time 3D Ultrasound Imaging Technology Qinghua Huang, Zhaozheng Zeng BioMed Research International	315
43	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
44	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	307
45	Pushing the Limits in Time-of-Flight PET Imaging P. Lecoq IEEE Transactions on Radiation and Plasma Medical Sciences	306
46	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	303
47	History and future technical innovation in positron emission tomography Terry Jones, David W. Townsend Journal of Medical Imaging	291
48	Industrial X-Ray Computed Tomography Simone Carmignato, Wim Dewulf, Richard Leach —	291
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	FDG PET for therapy monitoring in Hodgkin and non-Hodgkin lymphomas Sally F. Barrington, Regine Kluge European Journal of Nuclear Medicine and Molecular Imaging	277

Top Papers: Medizinische Bildgebung (2017)

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