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引用“”的文章Deep Learning for PET Image Reconstruction

标题/作者	年份
Transformers in medical imaging: A survey F Shamshad, S Khan, SW Zamir, MH Khan, M Hayat, FS Khan, H Fu Medical Image Analysis, 102802	2023
The promise of artificial intelligence and deep learning in PET and SPECT imaging H Arabi, A AkhavanAllaf, A Sanaat, I Shiri, H Zaidi Physica Medica 83, 122-137	2021
Medical image analysis based on deep learning approach M Puttagunta, S Ravi Multimedia tools and applications 80, 24365-24398	2021
The troublesome kernel: why deep learning for inverse problems is typically unstable NM Gottschling, V Antun, B Adcock, AC Hansen arXiv preprint arXiv:2001.01258	2020
Advanced Monte Carlo simulations of emission tomography imaging systems with GATE D Sarrut, M Bała, M Bardiès, J Bert, M Chauvin, K Chatzipapas, M Dupont, ... Physics in Medicine & Biology 66 (10), 10TR03	2021
PET parametric imaging: past, present, and future G Wang, A Rahmim, RN Gunn IEEE transactions on radiation and plasma medical sciences 4 (6), 663-675	2020
Position paper of the EACVI and EANM on artificial intelligence applications in multimodality cardiovascular imaging using SPECT/CT, PET/CT, and cardiac CT RHJA Slart, MC Williams, LE Juarez-Orozco, C Rischpler, MR Dweck, ... European journal of nuclear medicine and molecular imaging 48, 1399-1413	2021
Application and construction of deep learning networks in medical imaging M Torres-Velázquez, WJ Chen, X Li, AB McMillan IEEE transactions on radiation and plasma medical sciences 5 (2), 137-159	2020
Nuclear medicine and artificial intelligence: best practices for algorithm development TJ Bradshaw, R Boellaard, J Dutta, AK Jha, P Jacobs, Q Li, C Liu, A Sitek, ... Journal of Nuclear Medicine 63 (4), 500-510	2022
Objective task-based evaluation of artificial intelligence-based medical imaging methods: framework, strategies, and role of the physician AK Jha, KJ Myers, NA Obuchowski, Z Liu, MA Rahman, B Saboury, ... PET clinics 16 (4), 493-511	2021
Image enhancement of whole-body oncology [18F]-FDG PET scans using deep neural networks to reduce noise A Mehranian, SD Wollenweber, MD Walker, KM Bradley, PA Fielding, ... European journal of nuclear medicine and molecular imaging 49 (2), 539-549	2022
MDPET: a unified motion correction and denoising adversarial network for low-dose gated PET B Zhou, YJ Tsai, X Chen, JS Duncan, C Liu IEEE transactions on medical imaging 40 (11), 3154-3164	2021
Applications of artificial intelligence in nuclear medicine image generation Z Cheng, J Wen, G Huang, J Yan Quantitative Imaging in Medicine and Surgery 11 (6), 2792	2021
Dynamic PET image denoising using deep image prior combined with regularization by denoising H Sun, L Peng, H Zhang, Y He, S Cao, L Lu IEEE Access 9, 52378-52392	2021
Quantitative molecular positron emission tomography imaging using advanced deep learning techniques H Zaidi, I El Naqa Annual review of biomedical engineering 23, 249-276	2021
Deep-learning based positron range correction of PET images JL Herraiz, A Bembibre, A López-Montes Applied sciences 11 (1), 266	2020
Parametric image generation with the uEXPLORER total-body PET/CT system through deep learning Z Huang, Y Wu, F Fu, N Meng, F Gu, Q Wu, Y Zhou, Y Yang, X Liu, ... European Journal of Nuclear Medicine and Molecular Imaging 49 (8), 2482-2492	2022
Deep learning-based image reconstruction and post-processing methods in positron emission tomography for low-dose imaging and resolution enhancement CD Pain, GF Egan, Z Chen European Journal of Nuclear Medicine and Molecular Imaging 49 (9), 3098-3118	2022
Artificial intelligence with deep learning in nuclear medicine and radiology M Decuyper, J Maebe, R Van Holen, S Vandenberghe EJNMMI physics 8 (1), 81	2021
Application of artificial intelligence in nuclear medicine and molecular imaging: a review of current status and future perspectives for clinical translation D Visvikis, P Lambin, K Beuschau Mauridsen, R Hustinx, M Lassmann, ... European journal of nuclear medicine and molecular imaging 49 (13), 4452-4463	2022

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