| Deep learning in medical imaging and radiation therapy B Sahiner, A Pezeshk, LM Hadjiiski, X Wang, K Drukker, KH Cha, ... Medical physics 46 (1), e1-e36, 2019 | 748 | 2019 |
| Urinary bladder segmentation in CT urography using deep‐learning convolutional neural network and level sets KH Cha, L Hadjiiski, RK Samala, HP Chan, EM Caoili, RH Cohan Medical physics 43 (4), 1882-1896, 2016 | 296 | 2016 |
| Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography RK Samala, HP Chan, L Hadjiiski, MA Helvie, J Wei, K Cha Medical physics 43 (12), 6654-6666, 2016 | 295 | 2016 |
| Multi-task transfer learning deep convolutional neural network: application to computer-aided diagnosis of breast cancer on mammograms RK Samala, HP Chan, LM Hadjiiski, MA Helvie, KH Cha, CD Richter Physics in Medicine & Biology 62 (23), 8894, 2017 | 219 | 2017 |
| Breast cancer diagnosis in digital breast tomosynthesis: effects of training sample size on multi-stage transfer learning using deep neural nets RK Samala, HP Chan, L Hadjiiski, MA Helvie, CD Richter, KH Cha IEEE transactions on medical imaging 38 (3), 686-696, 2018 | 215 | 2018 |
| Bladder cancer treatment response assessment in CT using radiomics with deep-learning KH Cha, L Hadjiiski, HP Chan, AZ Weizer, A Alva, RH Cohan, EM Caoili, ... Scientific reports 7 (1), 8738, 2017 | 191 | 2017 |
| PROSTATEx Challenges for computerized classification of prostate lesions from multiparametric magnetic resonance images SG Armato III, H Huisman, K Drukker, L Hadjiiski, JS Kirby, N Petrick, ... Journal of Medical Imaging 5 (4), 044501-044501, 2018 | 149 | 2018 |
| Radiomics of lung nodules: a multi-institutional study of robustness and agreement of quantitative imaging features J Kalpathy-Cramer, A Mamomov, B Zhao, L Lu, D Cherezov, S Napel, ... Tomography 2 (4), 430-437, 2016 | 134 | 2016 |
| Urinary bladder cancer staging in CT urography using machine learning SS Garapati, L Hadjiiski, KH Cha, HP Chan, EM Caoili, RH Cohan, ... Medical physics 44 (11), 5814-5823, 2017 | 114 | 2017 |
| Evolutionary pruning of transfer learned deep convolutional neural network for breast cancer diagnosis in digital breast tomosynthesis RK Samala, HP Chan, LM Hadjiiski, MA Helvie, C Richter, K Cha Physics in Medicine & Biology 63 (9), 095005, 2018 | 113 | 2018 |
| Deep-learning convolution neural network for computer-aided detection of microcalcifications in digital breast tomosynthesis RK Samala, HP Chan, LM Hadjiiski, K Cha, MA Helvie Medical Imaging 2016: Computer-Aided Diagnosis 9785, 234-240, 2016 | 96 | 2016 |
| Bladder cancer segmentation in CT for treatment response assessment: application of deep-learning convolution neural network—a pilot study KH Cha, LM Hadjiiski, RK Samala, HP Chan, RH Cohan, EM Caoili, ... Tomography 2 (4), 421-429, 2016 | 83 | 2016 |
| U‐Net based deep learning bladder segmentation in CT urography X Ma, LM Hadjiiski, J Wei, HP Chan, KH Cha, RH Cohan, EM Caoili, ... Medical physics 46 (4), 1752-1765, 2019 | 68 | 2019 |
| Diagnostic accuracy of CT for prediction of bladder cancer treatment response with and without computerized decision support KH Cha, LM Hadjiiski, RH Cohan, HP Chan, EM Caoili, MS Davenport, ... Academic radiology 26 (9), 1137-1145, 2019 | 55 | 2019 |
| Deep learning approach for assessment of bladder cancer treatment response E Wu, LM Hadjiiski, RK Samala, HP Chan, KH Cha, C Richter, RH Cohan, ... Tomography 5 (1), 201-208, 2019 | 53 | 2019 |
| Evaluation of data augmentation via synthetic images for improved breast mass detection on mammograms using deep learning KH Cha, N Petrick, A Pezeshk, CG Graff, D Sharma, A Badal, B Sahiner Journal of Medical Imaging 7 (1), 012703-012703, 2020 | 39 | 2020 |
| AAPM task group report 273: recommendations on best practices for AI and machine learning for computer‐aided diagnosis in medical imaging L Hadjiiski, K Cha, HP Chan, K Drukker, L Morra, JJ Näppi, B Sahiner, ... Medical Physics 50 (2), e1-e24, 2023 | 29 | 2023 |
| Spie-aapm-nci breastpathq challenge: an image analysis challenge for quantitative tumor cellularity assessment in breast cancer histology images following neoadjuvant treatment N Petrick, S Akbar, KH Cha, S Nofech-Mozes, B Sahiner, MA Gavrielides, ... Journal of Medical Imaging 8 (3), 034501-034501, 2021 | 24 | 2021 |
| Segmentation of inner and outer bladder wall using deep-learning convolutional neural network in CT urography M Gordon, L Hadjiiski, K Cha, HP Chan, R Samala, RH Cohan, EM Caoili Medical Imaging 2017: Computer-Aided Diagnosis 10134, 1013402, 2017 | 23 | 2017 |
| Deep‐learning convolutional neural network: inner and outer bladder wall segmentation in CT urography MN Gordon, LM Hadjiiski, KH Cha, RK Samala, HP Chan, RH Cohan, ... Medical physics 46 (2), 634-648, 2019 | 20 | 2019 |
Lubomir HadjiiskiUniversity of MichiganVerified email at umich.edu
