| Deep learning pre-training strategy for mammogram image classification: an evaluation study K Clancy, S Aboutalib, A Mohamed, J Sumkin, S Wu Journal of Digital Imaging 33, 1257-1265, 2020 | 18 | 2020 |
| Development and validation of a five-factor score for prediction of pathologic pneumatosis CJ Rieser, ER Dadashzadeh, RM Handzel, KJ Clancy, CT Kaltenmeier, ... Journal of Trauma and Acute Care Surgery 90 (3), 477-483, 2021 | 7 | 2021 |
| Deep learning for identifying breast cancer malignancy and false recalls: a robustness study on training strategy K Clancy, L Zhang, A Mohamed, S Aboutalib, W Berg, S Wu Medical Imaging 2019: Computer-Aided Diagnosis 10950, 20-25, 2019 | 7 | 2019 |
| Machine Learning and Radiomics for Osteoporosis Risk Prediction Using X-ray Imaging S Dadsetan, G Kitamura, D Arefan, Y Guo, K Clancy, L Yang, S Wu medRxiv, 2022.02. 03.22270400, 2022 | 5 | 2022 |
| Machine learning for the prediction of pathologic pneumatosis intestinalis K Clancy, ER Dadashzadeh, R Handzel, C Rieser, JB Moses, ... Surgery 170 (3), 797-805, 2021 | 3 | 2021 |
| Research Notes — Software Process Selection Based Upon Abstract Machines for Slow Intelligence Systems SK Chang, J Zhou, A Yendluri, K Clancy International Journal of Software Engineering and Knowledge Engineering 29 …, 2019 | 1 | 2019 |
| Suspicion Map: an unsupervised middleware for analyzing digital mammograms K Clancy, D Arefan, L Gao, S Wu Medical Imaging 2021: Imaging Informatics for Healthcare, Research, and …, 2021 | | 2021 |
| 3132 Machine Learning for Prediction of Pathologic Pneumatosis Intestinalis Using CT Scans K Clancy, E Dadashzadeh, C Kaltenmeier, JB Moses, S Wu Journal of Clinical and Translational Science 3 (s1), 60-61, 2019 | | 2019 |
| Software Process Selection based upon Abstract Machines for Software Process Models SK Chang, J Zhou, A Yendluri, K Clancy | | |
