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Elaine M. Caoili
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2020 – today
- 2023
- [c32]Jonathan Clever, Lubomir M. Hadjiiski, Heang-Ping Chan
, Richard H. Cohan
Bladder cancer segmentation using U-Net-based deep-learning. Computer-Aided Diagnosis 2023 - [c31]Di Sun
Bladder cancer treatment response assessment in CT urography by using deep-learning and radiomics. Computer-Aided Diagnosis 2023 - [c30]Rain Tarango, Lubomir M. Hadjiiski, Ajjai Alva, Heang-Ping Chan
Survival prediction for patients with metastatic urothelial cancer after immunotherapy using machine learning. Computer-Aided Diagnosis 2023 - 2022
- [c29]Di Sun
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. Computer-Aided Diagnosis 2022 - 2021
- [c28]Lubomir M. Hadjiiski, Monika Joshi, Ajjai Alva, Heang-Ping Chan
Multi-institutional observer performance study for bladder cancer treatment response assessment in CT urography with and without computerized decision support. Computer-Aided Diagnosis 2021 - 2020
- [c27]Daniel Hoklai Chapman-Sung, Lubomir M. Hadjiiski, Dhanuj Gandikota, Heang-Ping Chan
Convolutional neural network-based decision support system for bladder cancer staging in CT urography: decision threshold estimation and validation. Computer-Aided Diagnosis 2020 - [c26]Michael I. Ivanitskiy, Lubomir M. Hadjiiski, Heang-Ping Chan
Bladder wall segmentation using U-net based deep learning. Computer-Aided Diagnosis 2020
2010 – 2019
- 2019
- [c25]Dhanuj Gandikota, Lubomir M. Hadjiiski, Heang-Ping Chan
Bladder cancer staging in CT urography: estimation and validation of decision thresholds for a radiomics-based decision support system. Computer-Aided Diagnosis 2019: 109500W - [c24]Xiangyuan Ma, Lubomir M. Hadjiiski, Jun Wei, Heang-Ping Chan
2D and 3D bladder segmentation using U-Net-based deep-learning. Computer-Aided Diagnosis 2019: 109500Y - [c23]Eric Wu, Lubomir M. Hadjiiski, Ravi K. Samala
Deep learning based bladder cancer treatment response assessment. Computer-Aided Diagnosis 2019: 109503D - 2018
- [c22]Kenny H. Cha, Lubomir M. Hadjiiski, Heang-Ping Chan
Bladder cancer treatment response assessment in CT urography using two-channel deep-learning network. Computer-Aided Diagnosis 2018: 105751V - [c21]Marshall N. Gordon, Kenny H. Cha, Lubomir M. Hadjiiski, Heang-Ping Chan
Bladder cancer treatment response assessment with radiomic, clinical and radiologist semantic features. Computer-Aided Diagnosis 2018: 105751Y - [c20]Dhanuj Gandikota, Lubomir M. Hadjiiski, Kenny H. Cha, Heang-Ping Chan
Bladder cancer staging in CT urography: effect of stage labels on statistical modeling of a decision support system. Computer-Aided Diagnosis 2018: 105752B - [c19]Kenny H. Cha, Lubomir M. Hadjiiski, Heang-Ping Chan
Computer-aided detection of bladder wall thickening in CT urography (CTU). Computer-Aided Diagnosis 2018: 1057529 - 2017
- [c18]Marshall Gordon, Lubomir M. Hadjiiski
Segmentation of inner and outer bladder wall using deep-learning convolutional neural network in CT urography. Computer-Aided Diagnosis 2017: 1013402 - [c17]Kenny H. Cha
Computer-aided detection of bladder masses in CT urography (CTU). Computer-Aided Diagnosis 2017: 1013403 - [c16]Kenny H. Cha
Bladder cancer treatment response assessment using deep learning in CT with transfer learning. Computer-Aided Diagnosis 2017: 1013404 - 2016
- [c15]Trevor Exell, Lubomir M. Hadjiiski
Automatic detection of ureter lesions in CT urography. Computer-Aided Diagnosis 2016: 97851O - [c14]Sankeerth S. Garapati, Lubomir M. Hadjiiski
Automatic staging of bladder cancer on CT urography. Computer-Aided Diagnosis 2016: 97851G - [c13]Kenny H. Cha
Computer-aided detection of bladder mass within non-contrast-enhanced region of CT Urography (CTU). Computer-Aided Diagnosis 2016: 97853W - [c12]Kenny H. Cha, Lubomir M. Hadjiiski, Ravi K. Samala, Heang-Ping Chan, Richard H. Cohan, Elaine M. Caoili:
Comparison of bladder segmentation using deep-learning convolutional neural network with and without level sets. Computer-Aided Diagnosis 2016: 978512 - 2015
- [c11]Kenny H. Cha
Computer-aided detection of bladder mass within contrast-enhanced region of CTU. Computer-Aided Diagnosis 2015: 94141Q - [c10]Duncan Fairbanks, Lubomir M. Hadjiiski
Ureter segmentation in CT urography (CTU) by COMPASS with multiscale Hessian enhancement. Computer-Aided Diagnosis 2015: 94141S - 2014
- [c9]Kenny H. Cha
Comparison of CLASS and ITK-SNAP in segmentation of urinary bladder in CT urography. Computer-Aided Diagnosis 2014: 90351F - [c8]Kenny H. Cha
Segmentation of urinary bladder in CT urography (CTU) using CLASS with enhanced contour conjoint procedure. Computer-Aided Diagnosis 2014: 90352P - [c7]David Zick, Lubomir M. Hadjiiski, Heang-Ping Chan
COMPASS-based ureter segmentation in CT urography (CTU). Computer-Aided Diagnosis 2014: 90352S - 2013
- [c6]Lubomir M. Hadjiiski
Computerized segmentation of ureters in CT urography (CTU) using COMPASS. Computer-Aided Diagnosis 2013: 86703B - 2012
- [c5]Lubomir M. Hadjiiski
Segmentation of urinary bladder in CT urography. EMBC 2012: 3978-3981 - [c4]Lubomir M. Hadjiiski
Segmentation of urinary bladder in CT Urography (CTU) using CLASS. Computer-Aided Diagnosis 2012: 83150J
2000 – 2009
- 2009
- [c3]Lubomir M. Hadjiiski
Automated segmentation of urinary bladder and detection of bladder lesions in multi-detector row CT urography. Computer-Aided Diagnosis 2009: 72603R - 2008
- [c2]Lubomir M. Hadjiiski
Automated detection of ureteral wall thickening on multi-detector row CT urography. Computer-Aided Diagnosis 2008: 69152U - 2006
- [c1]Lubomir M. Hadjiiski
Automated detection of ureter abnormalities on multi-detector row CT urography. Image Processing 2006: 61441W
Coauthor Index
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