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Alon Z. Weizer
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2020 – today
- 2023
- [c15]Rain Tarango, Lubomir M. Hadjiiski, Ajjai Alva, Heang-Ping Chan
, Richard H. Cohan
Survival prediction for patients with metastatic urothelial cancer after immunotherapy using machine learning. Computer-Aided Diagnosis 2023 - 2022
- [c14]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
- [c13]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
- [c12]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 - [c11]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
- [c10]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 - [c9]Eric Wu, Lubomir M. Hadjiiski, Ravi K. Samala
Deep learning based bladder cancer treatment response assessment. Computer-Aided Diagnosis 2019: 109503D - 2018
- [c8]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 - [c7]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 - [c6]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 - [c5]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
- [c4]Kenny H. Cha
Computer-aided detection of bladder masses in CT urography (CTU). Computer-Aided Diagnosis 2017: 1013403 - [c3]Kenny H. Cha
Bladder cancer treatment response assessment using deep learning in CT with transfer learning. Computer-Aided Diagnosis 2017: 1013404 - 2016
- [c2]Sankeerth S. Garapati, Lubomir M. Hadjiiski
Automatic staging of bladder cancer on CT urography. Computer-Aided Diagnosis 2016: 97851G - [c1]Kenny H. Cha
Computer-aided detection of bladder mass within non-contrast-enhanced region of CT Urography (CTU). Computer-Aided Diagnosis 2016: 97853W
Coauthor Index
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