141 related articles for article (PubMed ID: 35721454)
41. Proposing a deep learning-based method for improving the diagnostic certainty of pulmonary nodules in CT scan of chest.
Wang YW; Wang JW; Yang SX; Qi LL; Lin HL; Zhou Z; Yu YZ
Eur Radiol; 2021 Nov; 31(11):8160-8167. PubMed ID: 33956178
[TBL] [Abstract][Full Text] [Related]
42. Detection of acute rib fractures on CT images with convolutional neural networks: effect of location and type of fracture and reader's experience.
Azuma M; Nakada H; Takei M; Nakamura K; Katsuragawa S; Shinkawa N; Terada T; Masuda R; Hattori Y; Ide T; Kimura A; Shimomura M; Kawano M; Matsumura K; Meiri T; Ochiai H; Hirai T
Emerg Radiol; 2022 Apr; 29(2):317-328. PubMed ID: 34855002
[TBL] [Abstract][Full Text] [Related]
43. Quantifying the costs of interruption during diagnostic radiology interpretation using mobile eye-tracking glasses.
Drew T; Williams LH; Aldred B; Heilbrun ME; Minoshima S
J Med Imaging (Bellingham); 2018 Jul; 5(3):031406. PubMed ID: 29531970
[TBL] [Abstract][Full Text] [Related]
44. Eye tracking for work-related visual search: a cognitive task analysis.
Durugbo CM
Ergonomics; 2021 Feb; 64(2):225-240. PubMed ID: 32914697
[TBL] [Abstract][Full Text] [Related]
45. Scanners and drillers: characterizing expert visual search through volumetric images.
Drew T; Vo ML; Olwal A; Jacobson F; Seltzer SE; Wolfe JM
J Vis; 2013 Aug; 13(10):. PubMed ID: 23922445
[TBL] [Abstract][Full Text] [Related]
46. Automatic Lung Nodule Detection Combined With Gaze Information Improves Radiologists' Screening Performance.
Aresta G; Ferreira C; Pedrosa J; Araujo T; Rebelo J; Negrao E; Morgado M; Alves F; Cunha A; Ramos I; Campilho A
IEEE J Biomed Health Inform; 2020 Oct; 24(10):2894-2901. PubMed ID: 32092022
[TBL] [Abstract][Full Text] [Related]
47. Radiologists' recommendations for additional imaging (RAI) in the inpatient setting.
Squillaci E; Bolacchi F; Ricci F; De Stasio V; Pugliese L; Di Martino A; Floris R
Radiol Med; 2019 May; 124(5):432-437. PubMed ID: 30600436
[TBL] [Abstract][Full Text] [Related]
48. Computer-aided diagnosis of lung nodules on CT scans: ROC study of its effect on radiologists' performance.
Way T; Chan HP; Hadjiiski L; Sahiner B; Chughtai A; Song TK; Poopat C; Stojanovska J; Frank L; Attili A; Bogot N; Cascade PN; Kazerooni EA
Acad Radiol; 2010 Mar; 17(3):323-32. PubMed ID: 20152726
[TBL] [Abstract][Full Text] [Related]
49. What eye tracking can tell us about how radiologists use automated breast ultrasound.
Wolfe JM; Lyu W; Dong J; Wu CC
J Med Imaging (Bellingham); 2022 Jul; 9(4):045502. PubMed ID: 35911209
[No Abstract] [Full Text] [Related]
50. The Radiologist's Gaze: Mapping Three-Dimensional Visual Search in Computed Tomography of the Abdomen and Pelvis.
Kelahan LC; Fong A; Blumenthal J; Kandaswamy S; Ratwani RM; Filice RW
J Digit Imaging; 2019 Apr; 32(2):234-240. PubMed ID: 30291478
[TBL] [Abstract][Full Text] [Related]
51. Can prevalence expectations drive radiologists' behavior?
Reed WM; Chow SL; Chew LE; Brennan PC
Acad Radiol; 2014 Apr; 21(4):450-6. PubMed ID: 24594414
[TBL] [Abstract][Full Text] [Related]
52. Image quality and radiologists' subjective acceptance using model-based iterative and deep learning reconstructions as adjuncts to ultrahigh-resolution CT in low-dose contrast-enhanced abdominopelvic CT: phantom and clinical pilot studies.
Nishikawa M; Machida H; Shimizu Y; Kariyasu T; Morisaka H; Adachi T; Nakai T; Sakaguchi K; Saito S; Matsumoto S; Koyanagi M; Yokoyama K
Abdom Radiol (NY); 2022 Feb; 47(2):891-902. PubMed ID: 34914007
[TBL] [Abstract][Full Text] [Related]
53. Recurrence quantification analysis of radiologists' scanpaths when interpreting mammograms.
Gandomkar Z; Tay K; Brennan PC; Mello-Thoms C
Med Phys; 2018 Jul; 45(7):3052-3062. PubMed ID: 29694675
[TBL] [Abstract][Full Text] [Related]
54. Impact of Patient Photographs on Radiologists' Visual Search of Chest Radiographs.
Krupinski EA; Chung A; Applegate K; DeSimone AK; Tridandapani S
Acad Radiol; 2016 Aug; 23(8):953-60. PubMed ID: 27161208
[TBL] [Abstract][Full Text] [Related]
55. Improving superficial target delineation in radiation therapy with endoscopic tracking and registration.
Weersink RA; Qiu J; Hope AJ; Daly MJ; Cho BC; Dacosta RS; Sharpe MB; Breen SL; Chan H; Jaffray DA
Med Phys; 2011 Dec; 38(12):6458-68. PubMed ID: 22149829
[TBL] [Abstract][Full Text] [Related]
56. Pulmonary MDCT angiography: value of multiplanar reformatted images in detecting pulmonary embolism in children.
Lee EY; Zucker EJ; Tsai J; Tracy DA; Cleveland RH; Zurakowski D; Boiselle PM
AJR Am J Roentgenol; 2011 Dec; 197(6):1460-5. PubMed ID: 22109303
[TBL] [Abstract][Full Text] [Related]
57. Optimization of Regularization Parameters in Compressed Sensing of Magnetic Resonance Angiography: Can Statistical Image Metrics Mimic Radiologists' Perception?
Akasaka T; Fujimoto K; Yamamoto T; Okada T; Fushimi Y; Yamamoto A; Tanaka T; Togashi K
PLoS One; 2016; 11(1):e0146548. PubMed ID: 26744843
[TBL] [Abstract][Full Text] [Related]
58. The Development of Expertise in Radiology: In Chest Radiograph Interpretation, "Expert" Search Pattern May Predate "Expert" Levels of Diagnostic Accuracy for Pneumothorax Identification.
Kelly BS; Rainford LA; Darcy SP; Kavanagh EC; Toomey RJ
Radiology; 2016 Jul; 280(1):252-60. PubMed ID: 27322975
[TBL] [Abstract][Full Text] [Related]
59. A deep learning- and partial least square regression-based model observer for a low-contrast lesion detection task in CT.
Gong H; Yu L; Leng S; Dilger SK; Ren L; Zhou W; Fletcher JG; McCollough CH
Med Phys; 2019 May; 46(5):2052-2063. PubMed ID: 30889282
[TBL] [Abstract][Full Text] [Related]
60. Towards context-sensitive CT imaging - organ-specific image formation for single (SECT) and dual energy computed tomography (DECT).
Dorn S; Chen S; Sawall S; Maier J; Knaup M; Uhrig M; Schlemmer HP; Maier A; Lell M; Kachelrieß M
Med Phys; 2018 Oct; 45(10):4541-4557. PubMed ID: 30098038
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
