Top Papers: Medizinische Bildgebung (2020)

Die 50 meistzitierten Arbeiten zu Medizinische Bildgebung aus dem Jahr 2020 (von 8.207 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.

2018 2019 2020 2021

#	Paper	Zitationen
1	Pathologic Complete Response after Neoadjuvant Chemotherapy and Impact on Breast Cancer Recurrence and Survival: A Comprehensive Meta-analysis Laura M. Spring, Geoffrey Fell, Andrea Arfè et al. Clinical Cancer Research	844
2	On instabilities of deep learning in image reconstruction and the potential costs of AI Vegard Antun, Francesco Renna, Clarice Poon et al. Proceedings of the National Academy of Sciences	720
3	Feasibility of blood testing combined with PET-CT to screen for cancer and guide intervention Anne Marie Lennon, Adam H. Buchanan, Isaac Kinde et al. Science	643
4	Defining oligometastatic disease from a radiation oncology perspective: An ESTRO-ASTRO consensus document Yolande Lievens, Matthias Gückenberger, Daniel R. Gomez et al. Radiotherapy and Oncology	617
5	Use of Chest CT in Combination with Negative RT-PCR Assay for the 2019 Novel Coronavirus but High Clinical Suspicion Pei-Kai Huang, Tianzhu Liu, Lesheng Huang et al. Radiology	597
6	Prospective longitudinal atrophy in Alzheimer’s disease correlates with the intensity and topography of baseline tau-PET Renaud La Joie, Adrienne Visani, Suzanne L. Baker et al. Science Translational Medicine	596
7	Highly efficient eco-friendly X-ray scintillators based on an organic manganese halide Liang‐Jin Xu, Xinsong Lin, Qingquan He et al. Nature Communications	555
8	Deep Learning Techniques for Inverse Problems in Imaging Greg Ongie, Ajil Jalal, Christopher A. Metzler et al. IEEE Journal on Selected Areas in Information Theory	543
9	Lung Infection Quantification of COVID-19 in CT Images with Deep Learning Fei Shan, Yaozong Gao, Jun Wang et al. arXiv (Cornell University)	537
10	Deep learning for tomographic image reconstruction Ge Wang, Jong Chul Ye, Bruno De Man Nature Machine Intelligence	519
11	NeRF++: Analyzing and Improving Neural Radiance Fields Kai Zhang, Gernot Riegler, Noah Snavely et al. arXiv (Cornell University)	509
12	Photon-counting CT review Thomas Flohr, Martin Petersilka, André Henning et al. Physica Medica	505
13	Positron Emission Tomography Imaging With [<sup>18</sup>F]flortaucipir and Postmortem Assessment of Alzheimer Disease Neuropathologic Changes Adam Fleisher, Michael J. Pontecorvo, Michael D. Devous et al. JAMA Neurology	424
14	fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine Learning Florian Knöll, Jure Žbontar, Anuroop Sriram et al. Radiology Artificial Intelligence	380
15	Performance Evaluation of the uEXPLORER Total-Body PET/CT Scanner Based on NEMA NU 2-2018 with Additional Tests to Characterize PET Scanners with a Long Axial Field of View Benjamin A. Spencer, Eric Berg, Jeffrey P. Schmall et al. Journal of Nuclear Medicine	378
16	Artificial intelligence in radiation oncology Elizabeth Huynh, Ahmed Hosny, Christian V. Guthier et al. Nature Reviews Clinical Oncology	378
17	Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and Issues Florian Knöll, Kerstin Hammernik, Chi Zhang et al. IEEE Signal Processing Magazine	370
18	Deep Magnetic Resonance Image Reconstruction: Inverse Problems Meet Neural Networks Dong Liang, Jing Cheng, Ziwen Ke et al. IEEE Signal Processing Magazine	369
19	State of the art in total body PET Stefaan Vandenberghe, P. Moskal, Joel S. Karp EJNMMI Physics	367
20	Guidelines for the assessment of bone density and microarchitecture in vivo using high-resolution peripheral quantitative computed tomography Danielle E. Whittier, Steven K. Boyd, Andrew J. Burghardt et al. Osteoporosis International	328
21	Continuous scanning for Bragg coherent X-ray imaging Ni Li, Maxime Dupraz, Longfei Wu et al. Scientific Reports	320
22	Image quality and dose reduction opportunity of deep learning image reconstruction algorithm for CT: a phantom study Joël Greffier, Aymeric Hamard, Fabrício Pereira et al. European Radiology	315
23	SACNN: Self-Attention Convolutional Neural Network for Low-Dose CT Denoising With Self-Supervised Perceptual Loss Network Meng Li, William Hsu, Xiaodong Xie et al. IEEE Transactions on Medical Imaging	307
24	Self‐supervised learning of physics‐guided reconstruction neural networks without fully sampled reference data Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller et al. Magnetic Resonance in Medicine	301
25	Development and Validation of a Preoperative Magnetic Resonance Imaging Radiomics–Based Signature to Predict Axillary Lymph Node Metastasis and Disease-Free Survival in Patients With Early-Stage Breast Cancer Yunfang Yu, Yujie Tan, Chuanmiao Xie et al. JAMA Network Open	300
26	Longitudinal ComBat: A method for harmonizing longitudinal multi-scanner imaging data Joanne C. Beer, Nicholas J. Tustison, Philip A. Cook et al. NeuroImage	289
27	Adaptive Radiation Therapy (ART) Strategies and Technical Considerations: A State of the ART Review From NRG Oncology Carri Glide‐Hurst, Percy Lee, Adam D. Yock et al. International Journal of Radiation OncologyBiologyPhysics	288
28	Dual-energy crystal-analyzer scheme for spectral tomography Д. А. Золотов, А. В. Бузмаков, Maxim V. Grigoriev et al. Journal of Applied Crystallography	276
29	18F-FDG PET/CT findings of COVID-19: a series of four highly suspected cases Chunxia Qin, Fang Liu, Tzu‐Chen Yen et al. European Journal of Nuclear Medicine and Molecular Imaging	274
30	Artificial Intelligence for MR Image Reconstruction: An Overview for Clinicians Dana J. Lin, Patricia M. Johnson, Florian Knöll et al. Journal of Magnetic Resonance Imaging	272
31	Enhanced Tomographic Sensing Multimodality with a Crystal Analyzer А. В. Бузмаков, Marina Chukalina, I. G. Dyachkova et al. Sensors	272
32	Nonprostatic diseases on PSMA PET imaging: a spectrum of benign and malignant findings Felipe de Galiza Barbosa, Marcelo A. Queiroz, Rafael Fernandes Nunes et al. Cancer Imaging	269
33	Photon-counting x-ray detectors for CT Mats Danielsson, Mats Persson, Martin Sjölin Physics in Medicine and Biology	258
34	Low‐dose CT image and projection dataset Taylor R. Moen, Baiyu Chen, David R. Holmes et al. Medical Physics	252
35	Plug-and-Play Methods for Magnetic Resonance Imaging: Using Denoisers for Image Recovery Rizwan Ahmad, Charles A. Bouman, Gregery T. Buzzard et al. IEEE Signal Processing Magazine	251
36	Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge Florian Knöll, Tullie Murrell, Anuroop Sriram et al. Magnetic Resonance in Medicine	250
37	Roadmap toward the 10 ps time-of-flight PET challenge P. Lecoq, C. Morel, John O. Prior et al. Physics in Medicine and Biology	250
38	Cerebrospinal fluid phospho-tau T217 outperforms T181 as a biomarker for the differential diagnosis of Alzheimer’s disease and PET amyloid-positive patient identification Nicolas R. Barthélemy, Randall J. Bateman, Christophe Hirtz et al. Alzheimer s Research & Therapy	246
39	Consensus recommendations for a standardized brain tumor imaging protocol for clinical trials in brain metastases Timothy J. Kaufmann, Marion Smits, Jerrold L. Boxerman et al. Neuro-Oncology	244
40	Clinical implementation of artificial intelligence-driven cone-beam computed tomography-guided online adaptive radiotherapy in the pelvic region Patrik Sibolt, Lina Andersson, L. Calmels et al. Physics and Imaging in Radiation Oncology	241
41	Image Quality and Lesion Detection on Deep Learning Reconstruction and Iterative Reconstruction of Submillisievert Chest and Abdominal CT Ramandeep Singh, Subba R. Digumarthy, Victorine V. Muse et al. American Journal of Roentgenology	237
42	Boron neutron capture therapy using cyclotron-based epithermal neutron source and borofalan (10B) for recurrent or locally advanced head and neck cancer (JHN002): An open-label phase II trial Katsumi Hirose, Akiyoshi Konno, Junichi Hiratsuka et al. Radiotherapy and Oncology	231
43	Fully automated hybrid approach to predict the<i>IDH</i>mutation status of gliomas via deep learning and radiomics Yoon Seong Choi, Sohi Bae, Jong Hee Chang et al. Neuro-Oncology	231
44	CINENet: deep learning-based 3D cardiac CINE MRI reconstruction with multi-coil complex-valued 4D spatio-temporal convolutions Thomas Küstner, Niccolò Fuin, Kerstin Hammernik et al. Scientific Reports	230
45	Occluded Prohibited Items Detection: An X-ray Security Inspection Benchmark and De-occlusion Attention Module Yanlu Wei, Renshuai Tao, Zhangjie Wu et al. —	230
46	Opportunistic Screening Using Low-Dose CT and the Prevalence of Osteoporosis in China: A Nationwide, Multicenter Study Xiaoguang Cheng, Kaiping Zhao, Xiaojuan Zha et al. Journal of Bone and Mineral Research	223
47	Deep Learning for PET Image Reconstruction Andrew J. Reader, Guillaume Corda-D’Incan, Abolfazl Mehranian et al. IEEE Transactions on Radiation and Plasma Medical Sciences	220
48	The silicon photomultiplier: fundamentals and applications of a modern solid-state photon detector S. Gundacker, Arjan Hendrix Heering Physics in Medicine and Biology	217
49	Virtual clinical trials in medical imaging: a review Ehsan Abadi, W. Paul Segars, B.M.W. Tsui et al. Journal of Medical Imaging	216
50	Full-waveform inversion imaging of the human brain Lluís Guasch, Òscar Calderón Agudo, Meng‐Xing Tang et al. npj Digital Medicine	215

Top Papers: Medizinische Bildgebung (2020)

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