217 related articles for article (PubMed ID: 35476147)
41. Image texture features predict renal function decline in patients with autosomal dominant polycystic kidney disease.
Kline TL; Korfiatis P; Edwards ME; Bae KT; Yu A; Chapman AB; Mrug M; Grantham JJ; Landsittel D; Bennett WM; King BF; Harris PC; Torres VE; Erickson BJ;
Kidney Int; 2017 Nov; 92(5):1206-1216. PubMed ID: 28532709
[TBL] [Abstract][Full Text] [Related]
42. Automated prognosis of renal function decline in ADPKD patients using deep learning.
Raj A; Tollens F; Caroli A; Nörenberg D; Zöllner FG
Z Med Phys; 2024 May; 34(2):330-342. PubMed ID: 37612178
[TBL] [Abstract][Full Text] [Related]
43. Semi-Automated 3D Volumetric Renal Measurements in Polycystic Kidney Disease Using b0-Images-A Feasibility Study.
Roudenko A; Mahmood S; Du L; Gunio D; Barash I; Doo F; Slutzky A; Kukar N; Friedman B; Kagen A
Tomography; 2021 Oct; 7(4):573-580. PubMed ID: 34698270
[TBL] [Abstract][Full Text] [Related]
44. Sonographic assessment of the severity and progression of autosomal dominant polycystic kidney disease: the Consortium of Renal Imaging Studies in Polycystic Kidney Disease (CRISP).
O'Neill WC; Robbin ML; Bae KT; Grantham JJ; Chapman AB; Guay-Woodford LM; Torres VE; King BF; Wetzel LH; Thompson PA; Miller JP
Am J Kidney Dis; 2005 Dec; 46(6):1058-64. PubMed ID: 16310571
[TBL] [Abstract][Full Text] [Related]
45. Deep Learning-Based Total Kidney Volume Segmentation in Autosomal Dominant Polycystic Kidney Disease Using Attention, Cosine Loss, and Sharpness Aware Minimization.
Raj A; Tollens F; Hansen L; Golla AK; Schad LR; Nörenberg D; Zöllner FG
Diagnostics (Basel); 2022 May; 12(5):. PubMed ID: 35626314
[TBL] [Abstract][Full Text] [Related]
46. Diffusion magnetic resonance imaging for kidney cyst volume quantification and non-cystic tissue characterisation in ADPKD.
Caroli A; Villa G; Brambilla P; Trillini M; Sharma K; Sironi S; Remuzzi G; Perico N; Remuzzi A
Eur Radiol; 2023 Sep; 33(9):6009-6019. PubMed ID: 37017703
[TBL] [Abstract][Full Text] [Related]
47. Assessing Polycystic Kidney Disease in Rodents: Comparison of Robotic 3D Ultrasound and Magnetic Resonance Imaging.
Beaumont NJ; Holmes HL; Gregory AV; Edwards ME; Rojas JD; Gessner RC; Dayton PA; Kline TL; Romero MF; Czernuszewicz TJ
Kidney360; 2020 Oct; 1(10):1126-1136. PubMed ID: 33521650
[TBL] [Abstract][Full Text] [Related]
48. Looking at the (w)hole: magnet resonance imaging in polycystic kidney disease.
Liebau MC; Serra AL
Pediatr Nephrol; 2013 Sep; 28(9):1771-83. PubMed ID: 23239392
[TBL] [Abstract][Full Text] [Related]
49. The association of serum angiogenic growth factors with renal structure and function in patients with adult autosomal dominant polycystic kidney disease.
Coban M; Inci A
Int Urol Nephrol; 2018 Jul; 50(7):1293-1300. PubMed ID: 29654395
[TBL] [Abstract][Full Text] [Related]
50. An Artificial Intelligence Generated Automated Algorithm to Measure Total Kidney Volume in ADPKD.
Taylor J; Thomas R; Metherall P; van Gastel M; Cornec-Le Gall E; Caroli A; Furlano M; Demoulin N; Devuyst O; Winterbottom J; Torra R; Perico N; Le Meur Y; Schoenherr S; Forer L; Gansevoort RT; Simms RJ; Ong ACM
Kidney Int Rep; 2024 Feb; 9(2):249-256. PubMed ID: 38344736
[TBL] [Abstract][Full Text] [Related]
51. Autosomal dominant polycystic kidney disease: new role for ultrasound.
İmamoğlu H; Zararsız G; Doğan S; Koçyiğit İ; Eroğlu E; Öztürk A; Erdoğan N
Eur Radiol; 2019 Nov; 29(11):5991-5998. PubMed ID: 31028448
[TBL] [Abstract][Full Text] [Related]
52. Development and Evaluation of a Semi-automated Segmentation Tool and a Modified Ellipsoid Formula for Volumetric Analysis of the Kidney in Non-contrast T2-Weighted MR Images.
Seuss H; Janka R; Prümmer M; Cavallaro A; Hammon R; Theis R; Sandmair M; Amann K; Bäuerle T; Uder M; Hammon M
J Digit Imaging; 2017 Apr; 30(2):244-254. PubMed ID: 28025731
[TBL] [Abstract][Full Text] [Related]
53. A comparison between two semantic deep learning frameworks for the autosomal dominant polycystic kidney disease segmentation based on magnetic resonance images.
Bevilacqua V; Brunetti A; Cascarano GD; Guerriero A; Pesce F; Moschetta M; Gesualdo L
BMC Med Inform Decis Mak; 2019 Dec; 19(Suppl 9):244. PubMed ID: 31830973
[TBL] [Abstract][Full Text] [Related]
54. Utility of new image-derived biomarkers for autosomal dominant polycystic kidney disease prognosis using automated instance cyst segmentation.
Gregory AV; Chebib FT; Poudyal B; Holmes HL; Yu ASL; Landsittel DP; Bae KT; Chapman AB; Frederic RO; Mrug M; Bennett WM; Harris PC; Erickson BJ; Torres VE; Kline TL
Kidney Int; 2023 Aug; 104(2):334-342. PubMed ID: 36736536
[TBL] [Abstract][Full Text] [Related]
55. Automated 3D U-net based segmentation of neonatal cerebral ventricles from 3D ultrasound images.
Szentimrey Z; de Ribaupierre S; Fenster A; Ukwatta E
Med Phys; 2022 Feb; 49(2):1034-1046. PubMed ID: 34958147
[TBL] [Abstract][Full Text] [Related]
56. Assessing Risk of Rapid Progression in Autosomal Dominant Polycystic Kidney Disease and Special Considerations for Disease-Modifying Therapy.
Chebib FT; Torres VE
Am J Kidney Dis; 2021 Aug; 78(2):282-292. PubMed ID: 33705818
[TBL] [Abstract][Full Text] [Related]
57. Automatic cyst and kidney segmentation in autosomal dominant polycystic kidney disease: Comparison of U-Net based methods.
Rombolotti M; Sangalli F; Cerullo D; Remuzzi A; Lanzarone E
Comput Biol Med; 2022 Jul; 146():105431. PubMed ID: 35751190
[TBL] [Abstract][Full Text] [Related]
58. Geometry-independent assessment of renal volume in polycystic kidney disease from magnetic resonance imaging.
Turco D; Severi S; Mignani R; Magistroni R; Corsi C
Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():3081-4. PubMed ID: 26736943
[TBL] [Abstract][Full Text] [Related]
59. Correlations between renal function and the total kidney volume measured on imaging for autosomal dominant polycystic kidney disease: A systematic review and meta-analysis.
Jo WR; Kim SH; Kim KW; Suh CH; Kim JK; Kim H; Lee JG; Oh WY; Choi SE; Pyo J
Eur J Radiol; 2017 Oct; 95():56-65. PubMed ID: 28987699
[TBL] [Abstract][Full Text] [Related]
60. Validation of automatically measured T1 map cortico-medullary difference (ΔT1) for eGFR and fibrosis assessment in allograft kidneys.
Aslam I; Aamir F; Kassai M; Crowe LA; Poletti PA; Seigneux S; Moll S; Berchtold L; Vallée JP
PLoS One; 2023; 18(2):e0277277. PubMed ID: 36791140
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
