These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
130 related articles for article (PubMed ID: 38261553)
1. Detection and severity quantification of pulmonary embolism with 3D CT data using an automated deep learning-based artificial solution. Djahnine A; Lazarus C; Lederlin M; Mulé S; Wiemker R; Si-Mohamed S; Jupin-Delevaux E; Nempont O; Skandarani Y; De Craene M; Goubalan S; Raynaud C; Belkouchi Y; Afia AB; Fabre C; Ferretti G; De Margerie C; Berge P; Liberge R; Elbaz N; Blain M; Brillet PY; Chassagnon G; Cadour F; Caramella C; Hajjam ME; Boussouar S; Hadchiti J; Fablet X; Khalil A; Talbot H; Luciani A; Lassau N; Boussel L Diagn Interv Imaging; 2024 Mar; 105(3):97-103. PubMed ID: 38261553 [TBL] [Abstract][Full Text] [Related]
2. Effectiveness of automated quantification of pulmonary perfused blood volume using dual-energy CTPA for the severity assessment of acute pulmonary embolism. Meinel FG; Graef A; Bamberg F; Thieme SF; Schwarz F; Sommer WH; Neurohr C; Kupatt C; Reiser MF; Johnson TR Invest Radiol; 2013 Aug; 48(8):563-9. PubMed ID: 23519007 [TBL] [Abstract][Full Text] [Related]
3. Automated axial right ventricle to left ventricle diameter ratio computation in computed tomography pulmonary angiography. González G; Jiménez-Carretero D; Rodríguez-López S; Kumamaru KK; George E; San José Estépar R; Rybicki FJ; Ledesma-Carbayo MJ PLoS One; 2015; 10(5):e0127797. PubMed ID: 26000632 [TBL] [Abstract][Full Text] [Related]
4. Automated calculation of the right ventricle to left ventricle ratio on CT for the risk stratification of patients with acute pulmonary embolism. Foley RW; Glenn-Cox S; Rossdale J; Mynott G; Burnett TA; Brown WJH; Peter E; Hudson BJ; Ross RVM; Suntharalingam J; Robinson G; Rodrigues JCL Eur Radiol; 2021 Aug; 31(8):6013-6020. PubMed ID: 33459854 [TBL] [Abstract][Full Text] [Related]
5. Evaluation of acute pulmonary embolism and clot burden on CTPA with deep learning. Liu W; Liu M; Guo X; Zhang P; Zhang L; Zhang R; Kang H; Zhai Z; Tao X; Wan J; Xie S Eur Radiol; 2020 Jun; 30(6):3567-3575. PubMed ID: 32064559 [TBL] [Abstract][Full Text] [Related]
6. Computed tomographic pulmonary angiography in the assessment of severity of acute pulmonary embolism and right ventricular dysfunction. Nural MS; Elmali M; Findik S; Yapici O; Uzun O; Sunter AT; Erkan L Acta Radiol; 2009 Jul; 50(6):629-37. PubMed ID: 19488895 [TBL] [Abstract][Full Text] [Related]
7. Enhancement Characteristics of the Computed Tomography Pulmonary Angiography Test Bolus Curve and Its Use in Predicting Right Ventricular Dysfunction and Mortality in Patients With Acute Pulmonary Embolism. Li C; Lin CT; Kligerman SJ; Hong SN; White CS J Thorac Imaging; 2015 Jul; 30(4):274-81. PubMed ID: 25635705 [TBL] [Abstract][Full Text] [Related]
8. Computed tomography and echocardiography in patients with acute pulmonary embolism: part 2: prognostic value. George E; Kumamaru KK; Ghosh N; Gonzalez Quesada C; Wake N; Bedayat A; Dunne RM; Saboo SS; Khandelwal A; Hunsaker AR; Rybicki FJ; Gerhard-Herman M J Thorac Imaging; 2014 Jan; 29(1):W7-12. PubMed ID: 24157622 [TBL] [Abstract][Full Text] [Related]
9. [The application value of deep learning image reconstruction on improving image quality and evaluating the Qanadli embolism index of dual low-dose CT pulmonary angiography]. Qiu SM; Zhang H; Liu ZX; Zhang L; Meng YK; Sun XN; Xie LX; Zhang YC; Wang H; Xu K Zhonghua Yi Xue Za Zhi; 2023 May; 103(19):1477-1482. PubMed ID: 37198110 [No Abstract] [Full Text] [Related]
11. [Comparison of value of Qanadli versus Mastora pulmonary embolism index in evaluating straddle-type pulmonary embolism]. Chen S; Cheng R; Zhang G Zhonghua Yi Xue Za Zhi; 2014 Dec; 94(46):3629-32. PubMed ID: 25622952 [TBL] [Abstract][Full Text] [Related]
12. Automated detection and segmentation of pulmonary embolisms on computed tomography pulmonary angiography (CTPA) using deep learning but without manual outlining. Pu J; Gezer NS; Ren S; Alpaydin AO; Avci ER; Risbano MG; Rivera-Lebron B; Chan SY; Leader JK Med Image Anal; 2023 Oct; 89():102882. PubMed ID: 37482032 [TBL] [Abstract][Full Text] [Related]
13. Detection and quantification of pulmonary embolism with artificial intelligence: The SFR 2022 artificial intelligence data challenge. Belkouchi Y; Lederlin M; Ben Afia A; Fabre C; Ferretti G; De Margerie C; Berge P; Liberge R; Elbaz N; Blain M; Brillet PY; Chassagnon G; Cadour F; Caramella C; Hajjam ME; Boussouar S; Hadchiti J; Fablet X; Khalil A; Luciani A; Cotten A; Meder JF; Talbot H; Lassau N Diagn Interv Imaging; 2023 Oct; 104(10):485-489. PubMed ID: 37321875 [TBL] [Abstract][Full Text] [Related]
14. nnU-Net-based deep-learning for pulmonary embolism: detection, clot volume quantification, and severity correlation in the RSPECT dataset. Lanza E; Ammirabile A; Francone M Eur J Radiol; 2024 Aug; 177():111592. PubMed ID: 38968751 [TBL] [Abstract][Full Text] [Related]
15. Axial and reformatted four-chamber right ventricle-to-left ventricle diameter ratios on pulmonary CT angiography as predictors of death after acute pulmonary embolism. Lu MT; Demehri S; Cai T; Parast L; Hunsaker AR; Goldhaber SZ; Rybicki FJ AJR Am J Roentgenol; 2012 Jun; 198(6):1353-60. PubMed ID: 22623548 [TBL] [Abstract][Full Text] [Related]
16. Prognostic Value of Computed Tomography Versus Echocardiography Derived Right to Left Ventricular Diameter Ratio in Acute Pulmonary Embolism. Ammari Z; Hasnie AA; Ruzieh M; Dasa O; Al-Sarie M; Shastri P; Ashcherkin N; Brewster PS; Cooper CJ; Gupta R Am J Med Sci; 2021 Apr; 361(4):445-450. PubMed ID: 32753280 [TBL] [Abstract][Full Text] [Related]
17. Does Adding the Pulmonary Infarction and Right Ventricle to Left Ventricle Diameter Ratio to the Qanadli Index (A Combined Qanadli Index) More Accurately, Predict Short-Term Mortality in Patients with Pulmonary Embolism? Akhoundi N; Sedghian S; Siami A; Yazdani Nia I; Naseri Z; Ghadiri Asli SM; Hazara R Indian J Radiol Imaging; 2023 Oct; 33(4):478-483. PubMed ID: 37811186 [No Abstract] [Full Text] [Related]
18. A systematic review of artificial intelligence tools for chronic pulmonary embolism on CT pulmonary angiography. Abdulaal L; Maiter A; Salehi M; Sharkey M; Alnasser T; Garg P; Rajaram S; Hill C; Johns C; Rothman AMK; Dwivedi K; Kiely DG; Alabed S; Swift AJ Front Radiol; 2024; 4():1335349. PubMed ID: 38654762 [TBL] [Abstract][Full Text] [Related]
19. A multitask deep learning approach for pulmonary embolism detection and identification. Ma X; Ferguson EC; Jiang X; Savitz SI; Shams S Sci Rep; 2022 Jul; 12(1):13087. PubMed ID: 35906477 [TBL] [Abstract][Full Text] [Related]
20. [The role of CT pulmonary angiography in the diagnosis and prognosis of pulmonary embolism and correlation with blood gas values]. Huang Y; Fei GH Zhonghua Jie He He Hu Xi Za Zhi; 2012 Oct; 35(10):770-4. PubMed ID: 23289996 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]