Deep learning imaging features derived from kidney ultrasounds predict chronic kidney disease progression in children with posterior urethral valves

[1]  G. Tasian,et al.  Posterior Urethral Valves Outcomes Prediction (PUVOP): a machine learning tool to predict clinically relevant outcomes in boys with posterior urethral valves , 2021, Pediatric Nephrology.

[2]  S. Furth,et al.  Ultrasound-Based Renal Parenchymal Area and Kidney Function Decline in Infants With Congenital Anomalies of the Kidney and Urinary Tract. , 2021, Seminars in nephrology.

[3]  A. Muñoz,et al.  Age- and sex-dependent clinical equations to estimate glomerular filtration rates in children and young adults with chronic kidney disease. , 2020, Kidney international.

[4]  Qinmu Peng,et al.  Multi-instance deep learning of ultrasound imaging data for pattern classification of congenital abnormalities of the kidney and urinary tract in children. , 2020, Urology.

[5]  Qinmu Peng,et al.  Automatic kidney segmentation in ultrasound images using subsequent boundary distance regression and pixelwise classification networks , 2018, Medical Image Anal..

[6]  S. Furth,et al.  Computer-aided diagnosis of congenital abnormalities of the kidney and urinary tract in children based on ultrasound imaging data by integrating texture image features and deep transfer learning image features. , 2019, Journal of pediatric urology.

[7]  E. Colosimo,et al.  A clinical predictive model of chronic kidney disease in children with posterior urethral valves , 2018, Pediatric Nephrology.

[8]  Qiang Zheng,et al.  Transfer learning for diagnosis of congenital abnormalities of the kidney and urinary tract in children based on ultrasound imaging data , 2017, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

[9]  Yong Fan,et al.  A deep learning model integrating FCNNs and CRFs for brain tumor segmentation , 2017, Medical Image Anal..

[10]  Jian Sun,et al.  Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[11]  L. McCarthy,et al.  Nadir creatinine in posterior urethral valves: How high is low enough? , 2015, Journal of pediatric urology.

[12]  L. McCarthy,et al.  Combined creatinine velocity and nadir creatinine: A reliable predictor of renal outcome in neonatally diagnosed posterior urethral valves. , 2015, Journal of pediatric urology.

[13]  Craig S. Wong,et al.  Predictors of Rapid Progression of Glomerular and Nonglomerular Kidney Disease in Children and Adolescents: The Chronic Kidney Disease in Children (CKiD) Cohort. , 2015, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[14]  A. Cheung,et al.  GFR decline as an end point for clinical trials in CKD: a scientific workshop sponsored by the National Kidney Foundation and the US Food and Drug Administration. , 2014, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[15]  J. Coresh,et al.  Decline in estimated glomerular filtration rate and subsequent risk of end-stage renal disease and mortality. , 2014, JAMA.

[16]  S. Taskinen,et al.  Long-term risk of end stage renal disease in patients with posterior urethral valves. , 2011, The Journal of urology.

[17]  Susan L Furth,et al.  Urological disorders in chronic kidney disease in children cohort: clinical characteristics and estimation of glomerular filtration rate. , 2011, The Journal of urology.

[18]  Guy H. Neild,et al.  What do we know about chronic renal failure in young adults? I. Primary renal disease , 2009, Pediatric Nephrology.

[19]  P. Harris,et al.  Research electronic data capture (REDCap) - A metadata-driven methodology and workflow process for providing translational research informatics support , 2009, J. Biomed. Informatics.

[20]  Guy H. Neild,et al.  What do we know about chronic renal failure in young adults? II. Adult outcome of pediatric renal disease , 2009, Pediatric Nephrology.

[21]  P. Reddy,et al.  Risk factors for end stage renal disease in children with posterior urethral valves. , 2008, The Journal of urology.

[22]  F. Sampaio.  The Anatomy and Embryology of Posterior Urethral Valves , 2006 .

[23]  J. Groothoff.  Long-term outcomes of children with end-stage renal disease , 2005, Pediatric Nephrology.

[24]  J. Groothoff,et al.  Cardiovascular Disease as a Late Complication of End-Stage Renal Disease in Children , 2005, Pediatric nephrology.

[25]  F. Dekker,et al.  Severe bone disease and low bone mineral density after juvenile renal failure. , 2003, Kidney international.

[26]  D. Mitra,et al.  Long-term prognosis of renal function in boys treated for posterior urethral valves. , 1999, European journal of pediatric surgery.

[27]  N. Gretz,et al.  Progression to end-stage renal disease in children with posterior urethral valves , 1998, Pediatric Nephrology.

[28]  T. Gunn,et al.  Antenatal diagnosis of urinary tract abnormalities by ultrasonography after 28 weeks' gestation: incidence and outcome. , 1995, American journal of obstetrics and gynecology.