Gregory Tasian
According to our database1,
Gregory Tasian
authored at least 10 papers
between 2014 and 2024.
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Bibliography
2024
CopilotCAD: Empowering Radiologists with Report Completion Models and Quantitative Evidence from Medical Image Foundation Models.
CoRR, 2024
2022
From Single-Visit to Multi-Visit Image-Based Models: Single-Visit Models are Enough to Predict Obstructive Hydronephrosis.
CoRR, 2022
2020
Automatic kidney segmentation in ultrasound images using subsequent boundary distance regression and pixelwise classification networks.
Medical Image Anal., 2020
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.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
Multi-instance Deep Learning with Graph Convolutional Neural Networks for Diagnosis of Kidney Diseases Using Ultrasound Imaging.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures, 2019
Fully-Automatic Segmentation Of Kidneys In Clinical Ultrasound Images Using A Boundary Distance Regression Network.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2018
Subsequent Boundary Distance Regression and Pixelwise Classification Networks for Automatic Kidney Segmentation in Ultrasound Images.
CoRR, 2018
Transfer learning for diagnosis of congenital abnormalities of the kidney and urinary tract in children based on ultrasound imaging data.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
A dynamic graph-cuts method with integrated multiple feature maps for segmenting kidneys in ultrasound images.
CoRR, 2017
2014
Segmentation of renal parenchymal area from ultrasoundl images using level set evolution.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014