Top Papers: Medizinische Bildgebung (2019)

Die 50 meistzitierten Arbeiten zu Medizinische Bildgebung aus dem Jahr 2019 (von 8.228 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.

2017 2018 2019 2020

#	Paper	Zitationen
1	First Human Imaging Studies with the EXPLORER Total-Body PET Scanner* Ramsey D. Badawi, Hongcheng Shi, Pengcheng Hu et al. Journal of Nuclear Medicine	703
2	Supplemental MRI Screening for Women with Extremely Dense Breast Tissue Marije F. Bakker, Stéphanie V. de Lange, Ruud M. Pijnappel et al. New England Journal of Medicine	664
3	Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks Guotai Wang, Wenqi Li, Michaël Aertsen et al. Neurocomputing	615
4	Adaptive radiotherapy: The Elekta Unity MR-linac concept Dennis Winkel, Gijsbert H. Bol, P.S. Kroon et al. Clinical and Translational Radiation Oncology	559
5	Applications, promises, and pitfalls of deep learning for fluorescence image reconstruction Chinmay Belthangady, Löıc A. Royer Nature Methods	519
6	Photon-counting Detector CT: System Design and Clinical Applications of an Emerging Technology Shuai Leng, Michael R. Bruesewitz, Shengzhen Tao et al. Radiographics	498
7	Performance Characteristics of the Digital Biograph Vision PET/CT System Joyce van Sluis, Johan de Jong, Jenny Schaar et al. Journal of Nuclear Medicine	472
8	CT Super-Resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble (GAN-CIRCLE) Chenyu You, Wenxiang Cong, Michael W. Vannier et al. IEEE Transactions on Medical Imaging	438
9	Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction Hongming Shan, Atul Padole, Fatemeh Homayounieh et al. Nature Machine Intelligence	417
10	Controversies, Consensus, and Collaboration in the Use of <sup>131</sup> I Therapy in Differentiated Thyroid Cancer: A Joint Statement from the American Thyroid Association, the European Association of Nuclear Medicine, the Society of Nuclear Medicine and Molecular Imaging, and the European Thyroid Association R. Michael Tuttle, Sukhjeet Ahuja, Anca M. Avram et al. Thyroid	398
11	Advances in Auto-Segmentation Carlos Cárdenas, Jinzhong Yang, Brian Anderson et al. Seminars in Radiation Oncology	395
12	MR-guidance in clinical reality: current treatment challenges and future perspectives Stefanie Corradini, Filippo Alongi, Nicolaus Andratschke et al. Radiation Oncology	359
13	DR2-Net: Deep Residual Reconstruction Network for image compressive sensing Hantao Yao, Feng Dai, Shiliang Zhang et al. Neurocomputing	353
14	Deep learning reconstruction improves image quality of abdominal ultra-high-resolution CT Motonori Akagi, Yuko Nakamura, Toru Higaki et al. European Radiology	341
15	Technical design and concept of a 0.35 T MR-Linac Sebastian Klüter Clinical and Translational Radiation Oncology	334
16	ICRU report 91 on prescribing, recording, and reporting of stereotactic treatments with small photon beams L. Wilke, Nicolaus Andratschke, Oliver Blanck et al. Strahlentherapie und Onkologie	328
17	5-ALA and FDA approval for glioma surgery Costas G. Hadjipanayis, Walter Stummer Journal of Neuro-Oncology	322
18	7 Tesla MRI of the ex vivo human brain at 100 micron resolution Brian L. Edlow, Azma Mareyam, Andreas Horn et al. Scientific Data	308
19	DeepPET: A deep encoder–decoder network for directly solving the PET image reconstruction inverse problem Ida Häggström, C. Ross Schmidtlein, Gabriele Campanella et al. Medical Image Analysis	308
20	Patient-specific reconstruction of volumetric computed tomography images from a single projection view via deep learning Liyue Shen, Wei Zhao, Lei Xing Nature Biomedical Engineering	297
21	Automatic multiorgan segmentation in thorax <scp>CT</scp> images using U‐net‐<scp>GAN</scp> Xue Dong, Yang Lei, Tonghe Wang et al. Medical Physics	275
22	Adaptive Radiotherapy for Anatomical Changes Jan‐Jakob Sonke, Marianne Aznar, C. Rasch Seminars in Radiation Oncology	272
23	Performance evaluation of computed tomography systems: Summary of AAPM Task Group 233 Ehsan Samei, Donovan Bakalyar, Kirsten Boedeker et al. Medical Physics	272
24	Image Reconstruction: From Sparsity to Data-Adaptive Methods and Machine Learning Saiprasad Ravishankar, Jong Chul Ye, Jeffrey A. Fessler Proceedings of the IEEE	272
25	PET image denoising using unsupervised deep learning Jianan Cui, Kuang Gong, Ning Guo et al. European Journal of Nuclear Medicine and Molecular Imaging	264
26	Experimental time resolution limits of modern SiPMs and TOF-PET detectors exploring different scintillators and Cherenkov emission S. Gundacker, Rosana M. Turtos, N. Kratochwil et al. Physics in Medicine and Biology	262
27	Molecular Magnetic Resonance Imaging with Gd(III)-Based Contrast Agents: Challenges and Key Advances Hao Li, Thomas J. Meade Journal of the American Chemical Society	262
28	Cardiac Magnetic Resonance Stress Perfusion Imaging for Evaluation of Patients With Chest Pain Raymond Y. Kwong, Yin Ge, Kevin Steel et al. Journal of the American College of Cardiology	261
29	Correction of respiratory artifacts in MRI head motion estimates Damien A. Fair, Óscar Miranda-Domínguez, Abraham Z. Snyder et al. NeuroImage	259
30	Paired cycle‐GAN‐based image correction for quantitative cone‐beam computed tomography Joseph Harms, Yang Lei, Tonghe Wang et al. Medical Physics	251
31	Biomedical image augmentation using Augmentor Marcus Bloice, Peter M. Roth, Andreas Holzinger Bioinformatics	251
32	Generating synthesized computed tomography (CT) from cone-beam computed tomography (CBCT) using CycleGAN for adaptive radiation therapy Xiao Liang, Liyuan Chen, Dan Nguyen et al. Physics in Medicine and Biology	250
33	Recent and Upcoming Technological Developments in Computed Tomography Michael Lell, Marc Kachelrieß Investigative Radiology	246
34	Digital Breast Tomosynthesis: Concepts and Clinical Practice Alice Chong, Susan P. Weinstein, Elizabeth S. McDonald et al. Radiology	234
35	DuDoNet: Dual Domain Network for CT Metal Artifact Reduction Wei-An Lin, Haofu Liao, Cheng Peng et al. —	228
36	Automatic 3D Bi-Ventricular Segmentation of Cardiac Images by a Shape-Refined Multi- Task Deep Learning Approach Jinming Duan, Ghalib Bello, Jo Schlemper et al. IEEE Transactions on Medical Imaging	226
37	Deep Learning Based Noise Reduction for Brain MR Imaging: Tests on Phantoms and Healthy Volunteers Masafumi Kidoh, Kensuke Shinoda, Mika Kitajima et al. Magnetic Resonance in Medical Sciences	226
38	Review of Clinical Applications for Virtual Monoenergetic Dual-Energy CT Moritz H. Albrecht, Thomas J. Vogl, Simon S. Martin et al. Radiology	226
39	X2CT-GAN: Reconstructing CT From Biplanar X-Rays With Generative Adversarial Networks Xingde Ying, Heng Guo, Kai Ma et al. —	226
40	Two decades of SPECT/CT – the coming of age of a technology: An updated review of literature evidence Ora Israel, Olivier Pellet, Lorenzo Biassoni et al. European Journal of Nuclear Medicine and Molecular Imaging	226
41	Deep Learning for Diagnosis of Chronic Myocardial Infarction on Nonenhanced Cardiac Cine MRI Nan Zhang, Guang Yang, Zhifan Gao et al. Radiology	226
42	Deep-learning cardiac motion analysis for human survival prediction Ghalib A. Bello, Timothy J. W. Dawes, Jinming Duan et al. Nature Machine Intelligence	222
43	Lymph Node Imaging in Patients with Primary Breast Cancer: Concurrent Diagnostic Tools Maria Adele Marino, Daly Avendaño, Pedro Zapata et al. The Oncologist	220
44	ToothNet: Automatic Tooth Instance Segmentation and Identification From Cone Beam CT Images Zhiming Cui, Changjian Li, Wenping Wang —	220
45	Deep CT to MR Synthesis Using Paired and Unpaired Data Cheng‐Bin Jin, Hakil Kim, Mingjie Liu et al. Sensors	218
46	Domain Progressive 3D Residual Convolution Network to Improve Low-Dose CT Imaging Xiangrui Yin, Jean-Louis Coatrieux, Qianlong Zhao et al. IEEE Transactions on Medical Imaging	216
47	State of the Art in Abdominal CT: The Limits of Iterative Reconstruction Algorithms Achille Mileto, Luís Guimarães, Cynthia H. McCollough et al. Radiology	216
48	X-ray computed tomography: from medical imaging to dimensional metrology Herminso Villarraga-Gómez, Ericka L. Herazo, Stuart T. Smith Precision Engineering	215
49	Deep Learning Reconstruction at CT: Phantom Study of the Image Characteristics Toru Higaki, Yuko Nakamura, Jian Zhou et al. Academic Radiology	214
50	Co-Learning Feature Fusion Maps From PET-CT Images of Lung Cancer Ashnil Kumar, Michael Fulham, Dagan Feng et al. IEEE Transactions on Medical Imaging	211

Top Papers: Medizinische Bildgebung (2019)

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