Top Papers: Medizinische Bildgebung (2023)

Die 50 meistzitierten Arbeiten zu Medizinische Bildgebung aus dem Jahr 2023 (von 7.491 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.

2021 2022 2023 2024

#	Paper	Zitationen
1	Deep Learning Image Reconstruction for CT: Technical Principles and Clinical Prospects Lennart R. Koetzier, Domenico Mastrodicasa, Timothy P. Szczykutowicz et al. Radiology	339
2	Advances in PET imaging of cancer Johannes Schwenck, Dominik Sonanini, Jonathan Cotton et al. Nature reviews. Cancer	258
3	Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography Peter G. Mikhael, Jeremy Wohlwend, Adam Yala et al. Journal of Clinical Oncology	222
4	CTformer: convolution-free Token2Token dilated vision transformer for low-dose CT denoising Dayang Wang, Fenglei Fan, Zhan Wu et al. Physics in Medicine and Biology	201
5	Adaptive diffusion priors for accelerated MRI reconstruction Alper Güngör, Salman Ul Hassan Dar, Şaban Öztürk et al. Medical Image Analysis	201
6	MRI-based Quantification of Intratumoral Heterogeneity for Predicting Treatment Response to Neoadjuvant Chemotherapy in Breast Cancer Zhenwei Shi, Xiaomei Huang, Ziliang Cheng et al. Radiology	197
7	ESTRO-EANO guideline on target delineation and radiotherapy details for glioblastoma Maximilian Niyazi, Nicolaus Andratschke, Martin Bendszus et al. Radiotherapy and Oncology	190
8	Technical Basics and Clinical Benefits of Photon-Counting CT Thomas Flohr, Bernhard Schmidt Investigative Radiology	175
9	Deep learning based synthesis of MRI, CT and PET: Review and analysis Sanuwani Dayarathna, Kh Tohidul Islam, Sergio Uribe et al. Medical Image Analysis	172
10	Molecular and functional imaging in cancer-targeted therapy: current applications and future directions Jing‐Wen Bai, Si-Qi Qiu, Guo‐Jun Zhang Signal Transduction and Targeted Therapy	165
11	Next-generation MRI scanner designed for ultra-high-resolution human brain imaging at 7 Tesla David A. Feinberg, Alexander Beckett, An T. Vu et al. Nature Methods	165
12	Metastases-directed stereotactic body radiotherapy in combination with targeted therapy or immunotherapy: systematic review and consensus recommendations by the EORTC–ESTRO OligoCare consortium Stephanie Kroeze, Matea Pavic, Karin Stellamans et al. The Lancet Oncology	156
13	Accuracy of Ultrahigh-Resolution Photon-counting CT for Detecting Coronary Artery Disease in a High-Risk Population Muhammad Taha Hagar, Martin Soschynski, Ruben Saffar et al. Radiology	145
14	Longitudinal MRI-based fusion novel model predicts pathological complete response in breast cancer treated with neoadjuvant chemotherapy: a multicenter, retrospective study Yühong Huang, Teng Zhu, Xiaoling Zhang et al. EClinicalMedicine	141
15	Low-dose CT screening among never-smokers with or without a family history of lung cancer in Taiwan: a prospective cohort study Gee‐Chen Chang, Chao‐Hua Chiu, Chong‐Jen Yu et al. The Lancet Respiratory Medicine	139
16	Clinical Applications of Photon-counting CT: A Review of Pioneer Studies and a Glimpse into the Future Philippe Douek, Sara Boccalini, Edwin H. G. Oei et al. Radiology	136
17	Image harmonization: A review of statistical and deep learning methods for removing batch effects and evaluation metrics for effective harmonization Fengling Hu, Andrew A. Chen, Hannah Horng et al. NeuroImage	129
18	PET image denoising based on denoising diffusion probabilistic model Kuang Gong, Keith A. Johnson, Georges El Fakhri et al. European Journal of Nuclear Medicine and Molecular Imaging	127
19	Photon-counting CT: Review of initial clinical results Judith van der Bie, Marcel van Straten, Ronald Booij et al. European Journal of Radiology	123
20	Clinical Impact of Deep Learning Reconstruction in MRI Shigeru Kiryu, Hiroyuki Akai, Koichiro Yasaka et al. Radiographics	121
21	CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and Generalization Qi Gao, Zilong Li, Junping Zhang et al. IEEE Transactions on Medical Imaging	120
22	Artificial Intelligence in Lung Cancer Screening: The Future Is Now Michaela Cellina, Laura Maria Cacioppa, Maurizio Cè et al. Cancers	119
23	Medical image super-resolution reconstruction algorithms based on deep learning: A survey Defu Qiu, Yuhu Cheng, Xuesong Wang Computer Methods and Programs in Biomedicine	115
24	Chemistry and Pharmacology of Fluorinated Drugs Approved by the FDA (2016–2022) Ghulam Shabir, Aamer Saeed, Wajeeha Zahid et al. Pharmaceuticals	115
25	Specificity-Preserving Federated Learning for MR Image Reconstruction Chun-Mei Feng, Yunlu Yan, Shanshan Wang et al. IEEE Transactions on Medical Imaging	110
26	Clinical applications of photon counting detector CT Cynthia H. McCollough, Kishore Rajendran, Francis Baffour et al. European Radiology	106
27	Synthetic CT generation from MRI using 3D transformer‐based denoising diffusion model Shaoyan Pan, Elham Abouei, Jacob Wynne et al. Medical Physics	101
28	Predicting benefit from immune checkpoint inhibitors in patients with non-small-cell lung cancer by CT-based ensemble deep learning: a retrospective study Maliazurina B. Saad, Lingzhi Hong, Muhammad Aminu et al. The Lancet Digital Health	101
29	Photon-counting detector CT: early clinical experience review Thomas Sartoretti, Joachim E. Wildberger, Thomas Flohr et al. British Journal of Radiology	100
30	The technical development of photon-counting detector CT Cynthia H. McCollough, Kishore Rajendran, Shuai Leng et al. European Radiology	96
31	Treatment of Oligometastatic Non-Small Cell Lung Cancer: An ASTRO/ESTRO Clinical Practice Guideline Puneeth Iyengar, Sean All, Mark F. Berry et al. Practical Radiation Oncology	96
32	Artificial Intelligence in CT and MR Imaging for Oncological Applications Ramesh Paudyal, Akash Shah, Oğuz Akın et al. Cancers	95
33	CBCT‐Based synthetic CT image generation using conditional denoising diffusion probabilistic model Junbo Peng, Richard L. J. Qiu, Jacob Wynne et al. Medical Physics	93
34	Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging Kerstin Hammernik, Thomas Küstner, Burhaneddin Yaman et al. IEEE Signal Processing Magazine	93
35	Flurpiridaz F-18 PET Myocardial Perfusion Imaging in Patients With Suspected Coronary Artery Disease Jamshid Maddahi, Denis Agostini, Timothy M. Bateman et al. Journal of the American College of Cardiology	91
36	The 2021 <scp>WHO</scp> Classification for Gliomas and Implications on Imaging Diagnosis: Part 1—Key Points of the Fifth Edition and Summary of Imaging Findings on Adult‐Type Diffuse Gliomas Yae Won Park, Philipp Kickingereder, Martha Foltyn‐Dumitru et al. Journal of Magnetic Resonance Imaging	90
37	Review of cone beam computed tomography based online adaptive radiotherapy: current trend and future direction Hefei Liu, David W. Schaal, Heather Curry et al. Radiation Oncology	90
38	SynthRAD2023 Grand Challenge dataset: Generating synthetic CT for radiotherapy Adrian Thummerer, Erik van der Bijl, Arthur Galapon et al. Medical Physics	88
39	Implicit Neural Representation in Medical Imaging: A Comparative Survey Amirali Molaei, Amirhossein Aminimehr, Armin Tavakoli et al. —	88
40	ReconFormer: Accelerated MRI Reconstruction Using Recurrent Transformer Pengfei Guo, Yiqun Mei, Jinyuan Zhou et al. IEEE Transactions on Medical Imaging	87
41	ESTRO-ACROP guideline: Recommendations on implementation of breath-hold techniques in radiotherapy Marianne Aznar, P. Carrasco, Stefanie Corradini et al. Radiotherapy and Oncology	87
42	Novel Technology Allowing Cone Beam Computed Tomography in 6 Seconds: A Patient Study of Comparative Image Quality James L. Robar, Amanda Cherpak, R. Lee MacDonald et al. Practical Radiation Oncology	86
43	Wavelet-Improved Score-Based Generative Model for Medical Imaging Weiwen Wu, Yanyang Wang, Qiegen Liu et al. IEEE Transactions on Medical Imaging	86
44	Topological data analysis in medical imaging: current state of the art Yashbir Singh, Colleen Farrelly, Quincy A. Hathaway et al. Insights into Imaging	84
45	Advances in metal artifact reduction in CT images: A review of traditional and novel metal artifact reduction techniques Mark Selles, Jochen A. C. van Osch, Mario Maas et al. European Journal of Radiology	83
46	Applicability and usage of dose mapping/accumulation in radiotherapy Martina Murr, Kristy K. Brock, M. Fusella et al. Radiotherapy and Oncology	82
47	The Role of PET/CT in Breast Cancer Bawinile Hadebe, Lerwine Harry, Tasmeera Ebrahim et al. Diagnostics	80
48	Theranostic Nuclear Medicine with Gallium-68, Lutetium-177, Copper-64/67, Actinium-225, and Lead-212/203 Radionuclides Katherine A. Morgan, Stacey E. Rudd, Asif Noor et al. Chemical Reviews	80
49	Summary: Appropriate Use Criteria for Estrogen Receptor–Targeted PET Imaging with 16α-<sup>18</sup>F-Fluoro-17β-Fluoroestradiol Gary A. Ulaner, David A. Mankoff, Amy S. Clark et al. Journal of Nuclear Medicine	79
50	Adaptive Radiation Therapy: A Review of CT-based Techniques Elizaveta Lavrova, Matthew D. Garrett, Yi‐Fang Wang et al. Radiology Imaging Cancer	78

Top Papers: Medizinische Bildgebung (2023)

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