Katherine Fischer

Multi-institutional Validation of Improved Vesicoureteral Reflux Assessment With Simple and Machine Learning Approaches

C. Cooper, G. Tasian, L. Erdman, 2022, The Journal of urology.

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

G. Tasian, L. Erdman, M. Skreta, 2022, Pediatric Nephrology.

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

G. Tasian, L. Erdman, M. Skreta, 2022, Pediatric nephrology (Berlin, West).

Computer-Aided Diagnosis of Congenital Abnormalities of the Kidney and Urinary Tract in Children Using a Multi-Instance Deep Learning Method Based on Ultrasound Imaging Data

Qinmu Peng, Shi Yin, Yong Fan, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

Multi-instance deep learning of ultrasound imaging data for pattern classification of congenital abnormalities of the kidney and urinary tract in children.

Qinmu Peng, Xinge You, Yong Fan, 2020, Urology.

Automatic kidney segmentation in ultrasound images using subsequent boundary distance regression and pixelwise classification networks

Qinmu Peng, Xinge You, Yong Fan, 2018, Medical Image Anal..

Multi-instance Deep Learning with Graph Convolutional Neural Networks for Diagnosis of Kidney Diseases Using Ultrasound Imaging

Qinmu Peng, Xinge You, Yong Fan, 2019, UNSURE/CLIP@MICCAI.