Top Papers: Medizinische Bildgebung (2021)

Die 50 meistzitierten Arbeiten zu Medizinische Bildgebung aus dem Jahr 2021 (von 7.972 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.

2019 2020 2021 2022

#	Paper	Zitationen
1	X-ray computed tomography Philip J. Withers, Charles A. Bouman, Simone Carmignato et al. Nature Reviews Methods Primers	936
2	High-resolution X-ray luminescence extension imaging Xiangyu Ou, Xian Qin, Bolong Huang et al. Nature	788
3	Screening for Lung Cancer With Low-Dose Computed Tomography Daniel E Jonas, Daniel S. Reuland, Shivani Reddy et al. JAMA	577
4	TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning Fernando Pérez‐García, Rachel Sparks, Sébastien Ourselin Computer Methods and Programs in Biomedicine	570
5	The ANTsX ecosystem for quantitative biological and medical imaging Nicholas J. Tustison, Philip A. Cook, Andrew J. Holbrook et al. Scientific Reports	352
6	Contemporary radiotherapy: present and future Ravi A. Chandra, Florence K. Keane, Francine E.M. Voncken et al. The Lancet	340
7	Diagnostic Accuracy of <sup>68</sup>Ga-PSMA-11 PET for Pelvic Nodal Metastasis Detection Prior to Radical Prostatectomy and Pelvic Lymph Node Dissection Thomas A. Hope, Matthias Eiber, Wesley R. Armstrong et al. JAMA Oncology	331
8	Molecular imaging in oncology: Current impact and future directions Steven P. Rowe, Martin G. Pomper CA A Cancer Journal for Clinicians	329
9	Medical imaging and nuclear medicine: a Lancet Oncology Commission Hedvig Hricak, May Abdel–Wahab, Rifat Atun et al. The Lancet Oncology	321
10	Contrast-enhanced Mammography: State of the Art Maxine S. Jochelson, Marc B. I. Lobbes Radiology	320
11	Performance Characteristics of the Biograph Vision Quadra PET/CT System with a Long Axial Field of View Using the NEMA NU 2-2018 Standard George Prenosil, Hasan Sari, Markus Fürstner et al. Journal of Nuclear Medicine	317
12	Imaging intact human organs with local resolution of cellular structures using hierarchical phase-contrast tomography Claire Walsh, Paul Tafforeau, Willi L. Wagner et al. Nature Methods	303
13	Recent Development in X-Ray Imaging Technology: Future and Challenges Xiangyu Ou, Xue Chen, Xianning Xu et al. Research	300
14	CycleMorph: Cycle consistent unsupervised deformable image registration Boah Kim, Dong Hwan Kim, Seong Ho Park et al. Medical Image Analysis	298
15	A Guide to ComBat Harmonization of Imaging Biomarkers in Multicenter Studies Fanny Orlhac, Jakoba J. Eertink, Anne‐Ségolène Cottereau et al. Journal of Nuclear Medicine	297
16	Quantitative magnetic resonance imaging of brain anatomy and in vivo histology Nikolaus Weiskopf, Luke Edwards, Gunther Helms et al. Nature Reviews Physics	293
17	Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction Matthew J. Muckley, Bruno Riemenschneider, Alireza Radmanesh et al. IEEE Transactions on Medical Imaging	288
18	Clinical performance of long axial field of view PET/CT: a head-to-head intra-individual comparison of the Biograph Vision Quadra with the Biograph Vision PET/CT Ian Alberts, Jan-Niklas Hünermund, George Prenosil et al. European Journal of Nuclear Medicine and Molecular Imaging	278
19	Radiolabelling of nanomaterials for medical imaging and therapy Juan Pellico, Peter J. Gawne, Rafael T. M. de Rosales Chemical Society Reviews	276
20	EANM procedure guidelines for brain PET imaging using [18F]FDG, version 3 Éric Guedj, Andrea Varrone, Ronald Boellaard et al. European Journal of Nuclear Medicine and Molecular Imaging	261
21	The promise of artificial intelligence and deep learning in PET and SPECT imaging Hossein Arabi, Azadeh Akhavanallaf, Amirhossein Sanaat et al. Physica Medica	250
22	New physics in rare <i>B</i> decays after Moriond 2021. Wolfgang Altmannshofer, Peter Stangl PubMed	237
23	DRONE: Dual-Domain Residual-based Optimization NEtwork for Sparse-View CT Reconstruction Weiwen Wu, Dianlin Hu, Chuang Niu et al. IEEE Transactions on Medical Imaging	222
24	Validation of amyloid PET positivity thresholds in centiloids: a multisite PET study approach for the Alzheimer’s Disease Neuroimaging Initiative, Sarah K. Royse, Davneet Minhas et al. Alzheimer s Research & Therapy	222
25	Predicting treatment response from longitudinal images using multi-task deep learning Cheng Jin, Heng Yu, Jia Ke et al. Nature Communications	212
26	Ultrasound-based deep learning radiomics in the assessment of pathological complete response to neoadjuvant chemotherapy in locally advanced breast cancer Meng Jiang, Changli Li, Xiaomao Luo et al. European Journal of Cancer	211
27	Varian ethos online adaptive radiotherapy for prostate cancer: Early results of contouring accuracy, treatment plan quality, and treatment time Mikel Byrne, Ben Archibald‐Heeren, Yunfei Hu et al. Journal of Applied Clinical Medical Physics	210
28	ultralytics/yolov5: v6.0 - YOLOv5n 'Nano' models, Roboflow integration, TensorFlow export, OpenCV DNN support Glenn Jocher, Alex Stoken, Ayush Chaurasia et al. Zenodo (CERN European Organization for Nuclear Research)	208
29	DU-GAN: Generative Adversarial Networks with Dual-Domain U-Net Based Discriminators for Low-Dose CT Denoising Zhizhong Huang, Junping Zhang, Yi Zhang et al. arXiv (Cornell University)	200
30	Non-invasive measurement of PD-L1 status and prediction of immunotherapy response using deep learning of PET/CT images Wei Mu, Lei Jiang, Yu Shi et al. Journal for ImmunoTherapy of Cancer	199
31	Deep learning methods to generate synthetic CT from MRI in radiotherapy: A literature review M. Boulanger, Jean‐Claude Nunes, Hilda Chourak et al. Physica Medica	196
32	Head and neck tumor segmentation in PET/CT: The HECKTOR challenge Valentin Oreiller, Vincent Andrearczyk, Mario Jreige et al. Medical Image Analysis	195
33	Advanced Monte Carlo simulations of emission tomography imaging systems with GATE David Sarrut, Mateusz Bała, Manuel Bardiès et al. Physics in Medicine and Biology	187
34	Deep learning based synthetic‐CT generation in radiotherapy and PET: A review Maria Francesca Spadea, Matteo Maspero, Paolo Zaffino et al. Medical Physics	184
35	Overview of the Most Promising Radionuclides for Targeted Alpha Therapy: The “Hopeful Eight” Romain Eychenne, Michel Chérel, Férid Haddad et al. Pharmaceutics	182
36	Positronium imaging with the novel multiphoton PET scanner P. Moskal, K. Dulski, N. Chug et al. Science Advances	176
37	Introducing the Node Reporting and Data System 1.0 (Node-RADS): a concept for standardized assessment of lymph nodes in cancer Fabian Henry Jürgen Elsholtz, Patrick Asbach, Matthias Haas et al. European Radiology	174
38	Artificial Intelligence for Fast and Accurate 3-Dimensional Tooth Segmentation on Cone-beam Computed Tomography Pierre Lahoud, Mostafa EzEldeen, Thomas Beznik et al. Journal of Endodontics	171
39	Content-Noise Complementary Learning for Medical Image Denoising Mufeng Geng, Xiangxi Meng, Jiangyuan Yu et al. IEEE Transactions on Medical Imaging	168
40	LayNii: A software suite for layer-fMRI Laurentius Huber, Benedikt A. Poser, Peter A. Bandettini et al. NeuroImage	159
41	PET-guided omission of radiotherapy in early-stage unfavourable Hodgkin lymphoma (GHSG HD17): a multicentre, open-label, randomised, phase 3 trial Peter Borchmann, Annette Plütschow, Carsten Kobe et al. The Lancet Oncology	159
42	X-ray dark-field chest imaging for detection and quantification of emphysema in patients with chronic obstructive pulmonary disease: a diagnostic accuracy study Konstantin Willer, Alexander A. Fingerle, Wolfgang Noichl et al. The Lancet Digital Health	159
43	A deep learning-based auto-segmentation system for organs-at-risk on whole-body computed tomography images for radiation therapy Xuming Chen, Shanlin Sun, Narisu Bai et al. Radiotherapy and Oncology	158
44	Chemotherapy de-escalation using an 18F-FDG-PET-based pathological response-adapted strategy in patients with HER2-positive early breast cancer (PHERGain): a multicentre, randomised, open-label, non-comparative, phase 2 trial José Manuel Pérez-García, Géraldine Gebhart, Manuel Ruíz Borrego et al. The Lancet Oncology	153
45	Deep learning-assisted ultra-fast/low-dose whole-body PET/CT imaging Amirhossein Sanaat, Isaac Shiri, Hossein Arabi et al. European Journal of Nuclear Medicine and Molecular Imaging	150
46	A high-resolution in vivo atlas of the human brain's benzodiazepine binding site of GABAA receptors Martin Nørgaard, Vincent Beliveau, Melanie Ganz et al. NeuroImage	141
47	Computed tomography recent history and future perspectives Jiang Hsieh, Thomas Flohr Journal of Medical Imaging	140
48	Boosting the signal-to-noise of low-field MRI with deep learning image reconstruction Néha Koonjoo, Bo Zhu, G. Cody Bagnall et al. Scientific Reports	140
49	18F-FDG PET baseline radiomics features improve the prediction of treatment outcome in diffuse large B-cell lymphoma Jakoba J. Eertink, Tim van de Brug, Sanne E. Wiegers et al. European Journal of Nuclear Medicine and Molecular Imaging	139
50	Personalized Ultrafractionated Stereotactic Adaptive Radiotherapy (PULSAR) in Preclinical Models Enhances Single-Agent Immune Checkpoint Blockade Casey Moore, Ching-Cheng Hsu, Wei‐Min Chen et al. International Journal of Radiation OncologyBiologyPhysics	139

Top Papers: Medizinische Bildgebung (2021)

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