202 related articles for article (PubMed ID: 37028063)
21. Fast and accurate reconstruction of human lung gas MRI with deep learning.
Duan C; Deng H; Xiao S; Xie J; Li H; Sun X; Ma L; Lou X; Ye C; Zhou X
Magn Reson Med; 2019 Dec; 82(6):2273-2285. PubMed ID: 31322298
[TBL] [Abstract][Full Text] [Related]
22. Reconstruction for plane-wave ultrasound imaging using modified U-Net-based beamformer.
Nguon LS; Seo J; Seo K; Han Y; Park S
Comput Med Imaging Graph; 2022 Jun; 98():102073. PubMed ID: 35561639
[TBL] [Abstract][Full Text] [Related]
23. Self-contained deep learning-based boosting of 4D cone-beam CT reconstruction.
Madesta F; Sentker T; Gauer T; Werner R
Med Phys; 2020 Nov; 47(11):5619-5631. PubMed ID: 33063329
[TBL] [Abstract][Full Text] [Related]
24. Projection-domain scatter correction for cone beam computed tomography using a residual convolutional neural network.
Nomura Y; Xu Q; Shirato H; Shimizu S; Xing L
Med Phys; 2019 Jul; 46(7):3142-3155. PubMed ID: 31077390
[TBL] [Abstract][Full Text] [Related]
25. Deep learning-based motion compensation for four-dimensional cone-beam computed tomography (4D-CBCT) reconstruction.
Zhang Z; Liu J; Yang D; Kamilov US; Hugo GD
Med Phys; 2023 Feb; 50(2):808-820. PubMed ID: 36412165
[TBL] [Abstract][Full Text] [Related]
26. Accurate and robust sparse-view angle CT image reconstruction using deep learning and prior image constrained compressed sensing (DL-PICCS).
Zhang C; Li Y; Chen GH
Med Phys; 2021 Oct; 48(10):5765-5781. PubMed ID: 34458996
[TBL] [Abstract][Full Text] [Related]
27. Multitask Deep Learning Reconstruction and Localization of Lesions in Limited Angle Diffuse Optical Tomography.
Ben Yedder H; Cardoen B; Shokoufi M; Golnaraghi F; Hamarneh G
IEEE Trans Med Imaging; 2022 Mar; 41(3):515-530. PubMed ID: 34606449
[TBL] [Abstract][Full Text] [Related]
28. DeepPET: A deep encoder-decoder network for directly solving the PET image reconstruction inverse problem.
Häggström I; Schmidtlein CR; Campanella G; Fuchs TJ
Med Image Anal; 2019 May; 54():253-262. PubMed ID: 30954852
[TBL] [Abstract][Full Text] [Related]
29. PET scatter estimation using deep learning U-Net architecture.
Laurent B; Bousse A; Merlin T; Nekolla S; Visvikis D
Phys Med Biol; 2023 Mar; 68(6):. PubMed ID: 36240745
[No Abstract] [Full Text] [Related]
30. Image Reconstruction Using Deep Learning for Near-Infrared Optical Tomography: Generalization Assessment.
Ackermann M; Jiang J; Russomanno E; Wolf M; Kalyanov A
Adv Exp Med Biol; 2023; 1438():161-166. PubMed ID: 37845455
[TBL] [Abstract][Full Text] [Related]
31. An encoder-decoder network for direct image reconstruction on sinograms of a long axial field of view PET.
Ma R; Hu J; Sari H; Xue S; Mingels C; Viscione M; Kandarpa VSS; Li WB; Visvikis D; Qiu R; Rominger A; Li J; Shi K
Eur J Nucl Med Mol Imaging; 2022 Nov; 49(13):4464-4477. PubMed ID: 35819497
[TBL] [Abstract][Full Text] [Related]
32. Restoration of Full Data from Sparse Data in Low-Dose Chest Digital Tomosynthesis Using Deep Convolutional Neural Networks.
Lee D; Kim HJ
J Digit Imaging; 2019 Jun; 32(3):489-498. PubMed ID: 30238345
[TBL] [Abstract][Full Text] [Related]
33. Deep-learning-based fast TOF-PET image reconstruction using direction information.
Ote K; Hashimoto F
Radiol Phys Technol; 2022 Mar; 15(1):72-82. PubMed ID: 35132574
[TBL] [Abstract][Full Text] [Related]
34. Unrolled-DOT: an interpretable deep network for diffuse optical tomography.
Zhao Y; Raghuram A; Wang F; Kim SH; Hielscher A; Robinson JT; Veeraraghavan A
J Biomed Opt; 2023 Mar; 28(3):036002. PubMed ID: 36908760
[TBL] [Abstract][Full Text] [Related]
35. Reconstruction of three-dimensional tomographic patient models for radiation dose modulation in CT from two scout views using deep learning.
Montoya JC; Zhang C; Li Y; Li K; Chen GH
Med Phys; 2022 Feb; 49(2):901-916. PubMed ID: 34908175
[TBL] [Abstract][Full Text] [Related]
36. Deep complex convolutional network for fast reconstruction of 3D late gadolinium enhancement cardiac MRI.
El-Rewaidy H; Neisius U; Mancio J; Kucukseymen S; Rodriguez J; Paskavitz A; Menze B; Nezafat R
NMR Biomed; 2020 Jul; 33(7):e4312. PubMed ID: 32352197
[TBL] [Abstract][Full Text] [Related]
37. Effect of dataset size, image quality, and image type on deep learning-based automatic prostate segmentation in 3D ultrasound.
Orlando N; Gyacskov I; Gillies DJ; Guo F; Romagnoli C; D'Souza D; Cool DW; Hoover DA; Fenster A
Phys Med Biol; 2022 Mar; 67(7):. PubMed ID: 35240585
[TBL] [Abstract][Full Text] [Related]
38. BIRADS features-oriented semi-supervised deep learning for breast ultrasound computer-aided diagnosis.
Zhang E; Seiler S; Chen M; Lu W; Gu X
Phys Med Biol; 2020 Jun; 65(12):125005. PubMed ID: 32155605
[TBL] [Abstract][Full Text] [Related]
39. Comparative performance assessment of deep learning based image steganography techniques.
Himthani V; Dhaka VS; Kaur M; Rani G; Oza M; Lee HN
Sci Rep; 2022 Oct; 12(1):16895. PubMed ID: 36207314
[TBL] [Abstract][Full Text] [Related]
40. Real time breast microwave radar image reconstruction using circular holography: a study of experimental feasibility.
Flores-Tapia D; Pistorius S
Med Phys; 2011 Oct; 38(10):5420-31. PubMed ID: 21992361
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]