149 related articles for article (PubMed ID: 38052145)
21. Evaluation of Deep Learning-Based Approaches to Segment Bowel Air Pockets and Generate Pelvic Attenuation Maps from CAIPIRINHA-Accelerated Dixon MR Images.
Sari H; Reaungamornrat J; Catalano OA; Vera-Olmos J; Izquierdo-Garcia D; Morales MA; Torrado-Carvajal A; Ng TSC; Malpica N; Kamen A; Catana C
J Nucl Med; 2022 Mar; 63(3):468-475. PubMed ID: 34301782
[TBL] [Abstract][Full Text] [Related]
22. A Systematic Review and Identification of the Challenges of Deep Learning Techniques for Undersampled Magnetic Resonance Image Reconstruction.
Hossain MB; Shinde RK; Oh S; Kwon KC; Kim N
Sensors (Basel); 2024 Jan; 24(3):. PubMed ID: 38339469
[TBL] [Abstract][Full Text] [Related]
23. A hybrid model- and deep learning-based framework for functional lung image synthesis from multi-inflation CT and hyperpolarized gas MRI.
Astley JR; Biancardi AM; Marshall H; Hughes PJC; Collier GJ; Hatton MQ; Wild JM; Tahir BA
Med Phys; 2023 Sep; 50(9):5657-5670. PubMed ID: 36932692
[TBL] [Abstract][Full Text] [Related]
24. Multimodality MRI synchronous construction based deep learning framework for MRI-guided radiotherapy synthetic CT generation.
Zhou X; Cai W; Cai J; Xiao F; Qi M; Liu J; Zhou L; Li Y; Song T
Comput Biol Med; 2023 Aug; 162():107054. PubMed ID: 37290389
[TBL] [Abstract][Full Text] [Related]
25. Spatial adaptive and transformer fusion network (STFNet) for low-count PET blind denoising with MRI.
Zhang L; Xiao Z; Zhou C; Yuan J; He Q; Yang Y; Liu X; Liang D; Zheng H; Fan W; Zhang X; Hu Z
Med Phys; 2022 Jan; 49(1):343-356. PubMed ID: 34796526
[TBL] [Abstract][Full Text] [Related]
26. Cross-modality deep learning: Contouring of MRI data from annotated CT data only.
Kieselmann JP; Fuller CD; Gurney-Champion OJ; Oelfke U
Med Phys; 2021 Apr; 48(4):1673-1684. PubMed ID: 33251619
[TBL] [Abstract][Full Text] [Related]
27. Deep Learning Aided Neuroimaging and Brain Regulation.
Xu M; Ouyang Y; Yuan Z
Sensors (Basel); 2023 May; 23(11):. PubMed ID: 37299724
[TBL] [Abstract][Full Text] [Related]
28. A review on AI in PET imaging.
Matsubara K; Ibaraki M; Nemoto M; Watabe H; Kimura Y
Ann Nucl Med; 2022 Feb; 36(2):133-143. PubMed ID: 35029818
[TBL] [Abstract][Full Text] [Related]
29. Delayed PET imaging using image synthesis network and nonrigid registration without additional CT scan.
Rao F; Wu Z; Han L; Yang B; Han W; Zhu W
Med Phys; 2022 May; 49(5):3233-3245. PubMed ID: 35218053
[TBL] [Abstract][Full Text] [Related]
30. Combining physics-based models with deep learning image synthesis and uncertainty in intraoperative cone-beam CT of the brain.
Zhang X; Sisniega A; Zbijewski WB; Lee J; Jones CK; Wu P; Han R; Uneri A; Vagdargi P; Helm PA; Luciano M; Anderson WS; Siewerdsen JH
Med Phys; 2023 May; 50(5):2607-2624. PubMed ID: 36906915
[TBL] [Abstract][Full Text] [Related]
31. Multimodal MRI synthesis using unified generative adversarial networks.
Dai X; Lei Y; Fu Y; Curran WJ; Liu T; Mao H; Yang X
Med Phys; 2020 Dec; 47(12):6343-6354. PubMed ID: 33053202
[TBL] [Abstract][Full Text] [Related]
32. Deep learning-based automatic delineation of anal cancer gross tumour volume: a multimodality comparison of CT, PET and MRI.
Groendahl AR; Moe YM; Kaushal CK; Huynh BN; Rusten E; Tomic O; Hernes E; Hanekamp B; Undseth C; Guren MG; Malinen E; Futsaether CM
Acta Oncol; 2022 Jan; 61(1):89-96. PubMed ID: 34783610
[TBL] [Abstract][Full Text] [Related]
33. Parametric image generation with the uEXPLORER total-body PET/CT system through deep learning.
Huang Z; Wu Y; Fu F; Meng N; Gu F; Wu Q; Zhou Y; Yang Y; Liu X; Zheng H; Liang D; Wang M; Hu Z
Eur J Nucl Med Mol Imaging; 2022 Jul; 49(8):2482-2492. PubMed ID: 35312030
[TBL] [Abstract][Full Text] [Related]
34. Deep Learning MR Imaging-based Attenuation Correction for PET/MR Imaging.
Liu F; Jang H; Kijowski R; Bradshaw T; McMillan AB
Radiology; 2018 Feb; 286(2):676-684. PubMed ID: 28925823
[TBL] [Abstract][Full Text] [Related]
35. MRI-based treatment planning for proton radiotherapy: dosimetric validation of a deep learning-based liver synthetic CT generation method.
Liu Y; Lei Y; Wang Y; Wang T; Ren L; Lin L; McDonald M; Curran WJ; Liu T; Zhou J; Yang X
Phys Med Biol; 2019 Jul; 64(14):145015. PubMed ID: 31146267
[TBL] [Abstract][Full Text] [Related]
36. Deep learning-based automated segmentation of eight brain anatomical regions using head CT images in PET/CT.
Wang T; Xing H; Li Y; Wang S; Liu L; Li F; Jing H
BMC Med Imaging; 2022 May; 22(1):99. PubMed ID: 35614382
[TBL] [Abstract][Full Text] [Related]
37. SwinCross: Cross-modal Swin transformer for head-and-neck tumor segmentation in PET/CT images.
Li GY; Chen J; Jang SI; Gong K; Li Q
Med Phys; 2024 Mar; 51(3):2096-2107. PubMed ID: 37776263
[TBL] [Abstract][Full Text] [Related]
38. Anatomically aided PET image reconstruction using deep neural networks.
Xie Z; Li T; Zhang X; Qi W; Asma E; Qi J
Med Phys; 2021 Sep; 48(9):5244-5258. PubMed ID: 34129690
[TBL] [Abstract][Full Text] [Related]
39. MRI-guided attenuation correction in torso PET/MRI: Assessment of segmentation-, atlas-, and deep learning-based approaches in the presence of outliers.
Arabi H; Zaidi H
Magn Reson Med; 2022 Feb; 87(2):686-701. PubMed ID: 34480771
[TBL] [Abstract][Full Text] [Related]
40. Where Position Matters-Deep-Learning-Driven Normalization and Coregistration of Computed Tomography in the Postoperative Analysis of Deep Brain Stimulation.
Reisert M; Sajonz BEA; Brugger TS; Reinacher PC; Russe MF; Kellner E; Skibbe H; Coenen VA
Neuromodulation; 2023 Feb; 26(2):302-309. PubMed ID: 36424266
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]