| Predicting acute kidney injury at hospital re-entry using high-dimensional electronic health record data SJ Weisenthal, C Quill, S Farooq, H Kautz, MS Zand PloS one 13 (11), e0204920, 2018 | 15 | 2018 |
| Predicting hospital-onset Clostridium difficile using patient mobility data: A network approach K Bush, H Barbosa, S Farooq, SJ Weisenthal, M Trayhan, RJ White, ... Infection Control & Hospital Epidemiology 40 (12), 1380-1386, 2019 | 12 | 2019 |
| Visualizing nationwide variation in medicare Part D prescribing patterns A Rosenberg, C Fucile, RJ White, M Trayhan, S Farooq, CM Quill, ... BMC Medical Informatics and Decision Making 18, 1-19, 2018 | 11 | 2018 |
| Sum of previous inpatient serum creatinine measurements predicts acute kidney injury in rehospitalized patients S Weisenthal, H Liao, P Ng, M Zand arXiv preprint arXiv:1712.01880, 2017 | 6 | 2017 |
| Retrieval, visualization, and mining of large radiation dosage data W Kovacs, S Weisenthal, L Folio, Q Li, RM Summers, J Yao Information Retrieval Journal 19, 38-58, 2016 | 6 | 2016 |
| The clinical impact of comedonecrosis within intraductal carcinoma of the prostate Y Wang, Y Teramoto, SJ Weisenthal, T Goto, H Miyamoto Archives of Pathology & Laboratory Medicine 147 (1), 94-99, 2023 | 4 | 2023 |
| Open-source radiation exposure extraction engine (RE3) with patient-specific outlier detection SJ Weisenthal, L Folio, W Kovacs, A Seff, V Derderian, RM Summers, ... Journal of digital imaging 29, 406-419, 2016 | 4 | 2016 |
| Relative sparsity for medical decision problems SJ Weisenthal, SW Thurston, A Ertefaie Statistics in Medicine 42 (18), 3067-3092, 2023 | 1 | 2023 |
| Revealing HIV viral load patterns using unsupervised machine learning and cluster summarization SA Farooq, SJ Weisenthal, M Trayhan, RJ White, K Bush, PR Mariuz, ... F1000Research 7, 1144, 2018 | 1 | 2018 |
| Efficient Hilbert transform-based alternative to Tofts physiological models for representing MRI dynamic contrast-enhanced images in computer-aided diagnosis of prostate cancer KM Boehm, S Wang, KE Burtt, B Turkbey, S Weisenthal, P Pinto, ... Medical Imaging 2015: Computer-Aided Diagnosis 9414, 200-207, 2015 | 1 | 2015 |
| Open-source radiation exposure extraction engine (RE3) for dose monitoring S Weisenthal, L Folio, V Derderian, RM Summers, J Yao Medical Imaging 2015: PACS and Imaging Informatics: Next Generation and …, 2015 | 1 | 2015 |
| Optimality-based reward learning with applications to toxicology SJ Weisenthal, M Eckard, A Ertefaie, M Sobolewski, SW Thurston arXiv preprint arXiv:2404.04406, 2024 | | 2024 |
| ChatGPT and post-test probability SJ Weisenthal arXiv preprint arXiv:2311.12188, 2023 | | 2023 |
| Inference for relative sparsity SJ Weisenthal, SW Thurston, A Ertefaie arXiv preprint arXiv:2306.14297, 2023 | | 2023 |
| Relative Sparsity and Optimality-Based Reward Learning With Applications to Medical Decisions and Toxicology SJ Weisenthal University of Rochester, 2023 | | 2023 |
| Selection of inverse gamma and half-t priors for hierarchical models: sensitivity and recommendations Z Brehm, A Wagner, E VonKaenel, D Burton, SJ Weisenthal, M Cole, ... arXiv preprint arXiv:2108.12045, 2021 | | 2021 |
| Kevin Boehm, Shijun Wang, Karen Burtt, Baris Turkbey S Weisenthal Proc. of SPIE Vol 9414, 94140S-1, 0 | | |
