| CT radiomics to predict high‐risk intraductal papillary mucinous neoplasms of the pancreas J Chakraborty, A Midya, L Gazit, M Attiyeh, L Langdon‐Embry, PJ Allen, ... Medical physics 45 (11), 5019-5029, 2018 | 115 | 2018 |
| Preoperative risk prediction for intraductal papillary mucinous neoplasms by quantitative CT image analysis MA Attiyeh, J Chakraborty, L Gazit, L Langdon-Embry, M Gonen, ... Hpb 21 (2), 212-218, 2019 | 49 | 2019 |
| Developing a cancer digital twin: supervised metastases detection from consecutive structured radiology reports KE Batch, J Yue, A Darcovich, K Lupton, CC Liu, DP Woodlock, ... Frontiers in artificial intelligence 5, 826402, 2022 | 39 | 2022 |
| Patterns of metastatic disease in patients with cancer derived from natural language processing of structured CT radiology reports over a 10-year period RKG Do, K Lupton, PI Causa Andrieu, A Luthra, M Taya, K Batch, ... Radiology 301 (1), 115-122, 2021 | 34 | 2021 |
| Analysis of a remote monitoring program for symptoms among adults with cancer receiving antineoplastic therapy B Daly, K Nicholas, J Flynn, N Silva, K Panageas, JJ Mao, L Gazit, ... JAMA Network Open 5 (3), e221078-e221078, 2022 | 32 | 2022 |
| Misery Loves Company: Presenting Symptom Clusters to Urgent Care by Patients Receiving Antineoplastic Therapy B Daly, K Nicholas, D Gorenshteyn, S Sokolowski, L Gazit, L Adams, ... Journal of Oncology Practice, JOP.18.00199, 2018 | 26 | 2018 |
| Building a clinically relevant risk model: predicting risk of a potentially preventable acute care visit for patients starting antineoplastic treatment B Daly, D Gorenshteyn, KJ Nicholas, A Zervoudakis, S Sokolowski, ... JCO Clinical Cancer Informatics 4, 275-289, 2020 | 21 | 2020 |
| Quantification of CT images for the classification of high-and low-risk pancreatic cysts L Gazit, J Chakraborty, M Attiyeh, L Langdon-Embry, PJ Allen, RKG Do, ... Medical Imaging 2017: Computer-Aided Diagnosis 10134, 220-225, 2017 | 14 | 2017 |
| Advancements in the statistical study, modeling, and simulation of microwave-links in cellular backhaul networks L Gazit, H Messer Environments 5 (7), 75, 2018 | 13 | 2018 |
| Sufficient Conditions for Reconstructing 2-D Rainfall Maps L Gazit, H Messer IEEE Transactions on Geoscience and Remote Sensing, 1-10, 2018 | 12 | 2018 |
| From cellular networks to the garden hose: Advances in rainfall monitoring via cellular power measurements H Messer, L Gazit 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2016 | 11 | 2016 |
| Leveraging time irreversibility with order-contrastive pre-training MN Agrawal, H Lang, M Offin, L Gazit, D Sontag International Conference on Artificial Intelligence and Statistics, 2330-2353, 2022 | 10 | 2022 |
| Rain-mapping through compressed sensing: Reconstruction criteria relating image sparsity, resolution, and random-observations L Gazit, H Messer preparation, 2016 | 8 | 2016 |
| Natural language processing of computed Tomography reports to label metastatic phenotypes with prognostic significance in patients with colorectal cancer P Causa Andrieu, JS Golia Pernicka, R Yaeger, K Lupton, K Batch, ... JCO Clinical Cancer Informatics 6, e2200014, 2022 | 5 | 2022 |
| Trading Cancer for Data: Machine Learning for Cancer Diagnosis L Gazit WSR Magazine, 11-15, 2017 | 3 | 2017 |
| Microwave-Links In Cellular Backhaul Networks: Statistical Studying And Modeling L Gazit, H Messer City 60 (40), 6,251, 2017 | 2 | 2017 |
| Natural Language Processing of Large-Scale Structured Radiology Reports to Identify Oncologic Patients With or Without Splenomegaly Over a 10-Year Period MD Simon Sun, BCH Kaelan Lupton, BCH Karen Batch, MS Huy Nguyen, ... JCO Clinical Cancer Informatics 6, 2022 | 1 | 2022 |
| Reduction of unplanned late hours in inpatient procedure scheduling by forecasting with the Facebook Prophet algorithm J Erinjeri, N Kastango, L Flood, L Gazit, L Brody, H Mohabir, ... Journal of Vascular and Interventional Radiology 31 (3 Suppl.), S151-S152, 2020 | 1* | 2020 |
| A framework for building a clinically relevant risk model. RM Daly, D Gorenshteyn, L Gazit, S Sokolowski, K Nicholas, C Perry, ... Journal of Clinical Oncology 37 (15_suppl), 6554-6554, 2019 | 1 | 2019 |
| Employing electronic health record data to predict risk of emergency department visits for new patients. RM Daly, D Gorenshteyn, L Gazit, S Sokolowski, K Nicholas, C Perry, ... Journal of Clinical Oncology 36 (30_suppl), 314-314, 2018 | 1 | 2018 |
