364 related articles for article (PubMed ID: 35297075)
21. Implementation and evaluation of an expectation maximization reconstruction algorithm for gamma emission breast tomosynthesis.
Gong Z; Klanian K; Patel T; Sullivan O; Williams MB
Med Phys; 2012 Dec; 39(12):7580-92. PubMed ID: 23231306
[TBL] [Abstract][Full Text] [Related]
22. Evaluating attenuation correction strategies in a dedicated, single-gantry breast PET-tomosynthesis scanner.
Krishnamoorthy S; Vent T; Barufaldi B; Maidment ADA; Karp JS; Surti S
Phys Med Biol; 2020 Dec; 65(23):235028. PubMed ID: 33113520
[TBL] [Abstract][Full Text] [Related]
23. X-ray scatter correction in breast tomosynthesis with a precomputed scatter map library.
Feng SS; D'Orsi CJ; Newell MS; Seidel RL; Patel B; Sechopoulos I
Med Phys; 2014 Mar; 41(3):031912. PubMed ID: 24593730
[TBL] [Abstract][Full Text] [Related]
24. A software-based x-ray scatter correction method for breast tomosynthesis.
Jia Feng SS; Sechopoulos I
Med Phys; 2011 Dec; 38(12):6643-53. PubMed ID: 22149846
[TBL] [Abstract][Full Text] [Related]
25. Two-phase learning-based 3D deblurring method for digital breast tomosynthesis images.
Choi Y; Han M; Jang H; Shim H; Baek J
PLoS One; 2022; 17(1):e0262736. PubMed ID: 35073353
[TBL] [Abstract][Full Text] [Related]
26. Mass detection in digital breast tomosynthesis data using convolutional neural networks and multiple instance learning.
Yousefi M; Krzyżak A; Suen CY
Comput Biol Med; 2018 May; 96():283-293. PubMed ID: 29665537
[TBL] [Abstract][Full Text] [Related]
27. Monte Carlo simulation for the estimation of the glandular breast dose for a digital breast tomosynthesis system.
Rodrigues L; Magalhaes LA; Braz D
Radiat Prot Dosimetry; 2015 Dec; 167(4):576-83. PubMed ID: 25480841
[TBL] [Abstract][Full Text] [Related]
28. Image quality of microcalcifications in digital breast tomosynthesis: effects of projection-view distributions.
Lu Y; Chan HP; Wei J; Goodsitt M; Carson PL; Hadjiiski L; Schmitz A; Eberhard JW; Claus BE
Med Phys; 2011 Oct; 38(10):5703-12. PubMed ID: 21992385
[TBL] [Abstract][Full Text] [Related]
29. Characterization of a constrained paired-view technique in iterative reconstruction for breast tomosynthesis.
Wu G; Mainprize JG; Yaffe MJ
Med Phys; 2013 Oct; 40(10):101901. PubMed ID: 24089903
[TBL] [Abstract][Full Text] [Related]
30. Reduced anatomical clutter in digital breast tomosynthesis with statistical iterative reconstruction.
Garrett JW; Li Y; Li K; Chen GH
Med Phys; 2018 May; 45(5):2009-2022. PubMed ID: 29542821
[TBL] [Abstract][Full Text] [Related]
31. Deformable mapping technique to correlate lesions in digital breast tomosynthesis and automated breast ultrasound images.
Green CA; Goodsitt MM; Brock KK; Davis CL; Larson ED; Lau JH; Carson PL
Med Phys; 2018 Oct; 45(10):4402-4417. PubMed ID: 30066340
[TBL] [Abstract][Full Text] [Related]
32. Deep Convolutional Neural Network With Adversarial Training for Denoising Digital Breast Tomosynthesis Images.
Gao M; Fessler JA; Chan HP
IEEE Trans Med Imaging; 2021 Jul; 40(7):1805-1816. PubMed ID: 33729933
[TBL] [Abstract][Full Text] [Related]
33. Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography.
Samala RK; Chan HP; Hadjiiski L; Helvie MA; Wei J; Cha K
Med Phys; 2016 Dec; 43(12):6654. PubMed ID: 27908154
[TBL] [Abstract][Full Text] [Related]
34. Effects on image quality of a 2D antiscatter grid in x-ray digital breast tomosynthesis: Initial experience using the dual modality (x-ray and molecular) breast tomosynthesis scanner.
Patel T; Peppard H; Williams MB
Med Phys; 2016 Apr; 43(4):1720. PubMed ID: 27036570
[TBL] [Abstract][Full Text] [Related]
35. Optimization of digital breast tomosynthesis (DBT) acquisition parameters for human observers: effect of reconstruction algorithms.
Zeng R; Badano A; Myers KJ
Phys Med Biol; 2017 Apr; 62(7):2598-2611. PubMed ID: 28151728
[TBL] [Abstract][Full Text] [Related]
36. Estimate and compensate head motion in non-contrast head CT scans using partial angle reconstruction and deep learning.
Chen Z; Li Q; Wu D
Med Phys; 2024 May; 51(5):3309-3321. PubMed ID: 38569143
[TBL] [Abstract][Full Text] [Related]
37. Selective-diffusion regularization for enhancement of microcalcifications in digital breast tomosynthesis reconstruction.
Lu Y; Chan HP; Wei J; Hadjiiski LM
Med Phys; 2010 Nov; 37(11):6003-14. PubMed ID: 21158312
[TBL] [Abstract][Full Text] [Related]
38. Task-based performance analysis of FBP, SART and ML for digital breast tomosynthesis using signal CNR and Channelised Hotelling Observers.
Van de Sompel D; Brady SM; Boone J
Med Image Anal; 2011 Feb; 15(1):53-70. PubMed ID: 20713313
[TBL] [Abstract][Full Text] [Related]
39. A diffusion-based truncated projection artifact reduction method for iterative digital breast tomosynthesis reconstruction.
Lu Y; Chan HP; Wei J; Hadjiiski LM
Phys Med Biol; 2013 Feb; 58(3):569-87. PubMed ID: 23318346
[TBL] [Abstract][Full Text] [Related]
40. A Case for Wide-Angle Breast Tomosynthesis.
Samei E; Thompson J; Richard S; Bowsher J
Acad Radiol; 2015 Jul; 22(7):860-9. PubMed ID: 25920335
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
