Elaine M. Caoili

According to our database1, Elaine M. Caoili authored at least 32 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Survival prediction for patients with metastatic urothelial cancer after immunotherapy using machine learning.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

Bladder cancer treatment response assessment in CT urography by using deep-learning and radiomics.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

Bladder cancer segmentation using U-Net-based deep-learning.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

2022
Effect of computerized decision support on diagnostic accuracy and intra-observer variability in multi-institutional observer performance study for bladder cancer treatment response assessment in CT urography.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

2021
Multi-institutional observer performance study for bladder cancer treatment response assessment in CT urography with and without computerized decision support.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

2020
Bladder wall segmentation using U-net based deep learning.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Convolutional neural network-based decision support system for bladder cancer staging in CT urography: decision threshold estimation and validation.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

2019
Deep learning based bladder cancer treatment response assessment.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

2D and 3D bladder segmentation using U-Net-based deep-learning.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Bladder cancer staging in CT urography: estimation and validation of decision thresholds for a radiomics-based decision support system.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

2018
Bladder cancer treatment response assessment with radiomic, clinical and radiologist semantic features.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Bladder cancer staging in CT urography: effect of stage labels on statistical modeling of a decision support system.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Bladder cancer treatment response assessment in CT urography using two-channel deep-learning network.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Computer-aided detection of bladder wall thickening in CT urography (CTU).
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

2017
Segmentation of inner and outer bladder wall using deep-learning convolutional neural network in CT urography.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Bladder cancer treatment response assessment using deep learning in CT with transfer learning.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Computer-aided detection of bladder masses in CT urography (CTU).
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

2016
Automatic staging of bladder cancer on CT urography.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

Automatic detection of ureter lesions in CT urography.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

Comparison of bladder segmentation using deep-learning convolutional neural network with and without level sets.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

Computer-aided detection of bladder mass within non-contrast-enhanced region of CT Urography (CTU).
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

2015
Ureter segmentation in CT urography (CTU) by COMPASS with multiscale Hessian enhancement.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

Computer-aided detection of bladder mass within contrast-enhanced region of CTU.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

2014
COMPASS-based ureter segmentation in CT urography (CTU).
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014

Segmentation of urinary bladder in CT urography (CTU) using CLASS with enhanced contour conjoint procedure.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014

Comparison of CLASS and ITK-SNAP in segmentation of urinary bladder in CT urography.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014

2013
Computerized segmentation of ureters in CT urography (CTU) using COMPASS.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013

2012
Segmentation of urinary bladder in CT Urography (CTU) using CLASS.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012

Segmentation of urinary bladder in CT urography.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2009
Automated segmentation of urinary bladder and detection of bladder lesions in multi-detector row CT urography.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009

2008
Automated detection of ureteral wall thickening on multi-detector row CT urography.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008

2006
Automated detection of ureter abnormalities on multi-detector row CT urography.
Proceedings of the Medical Imaging 2006: Image Processing, 2006


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