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Lior Gazit
Lior Gazit
Msc, Computer Eng., Tel-Aviv University, Sr. Director, Machine Learning Manager, S&P Indices
Zweryfikowany adres z mail.tau.ac.il
Tytuł
Cytowane przez
Cytowane przez
Rok
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
1152018
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
492019
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
402022
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
342021
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
332022
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
262018
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
212020
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
142017
Advancements in the statistical study, modeling, and simulation of microwave-links in cellular backhaul networks
L Gazit, H Messer
Environments 5 (7), 75, 2018
132018
Sufficient Conditions for Reconstructing 2-D Rainfall Maps
L Gazit, H Messer
IEEE Transactions on Geoscience and Remote Sensing, 1-10, 2018
122018
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
112016
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
102022
Rain-mapping through compressed sensing: Reconstruction criteria relating image sparsity, resolution, and random-observations
L Gazit, H Messer
preparation, 2016
82016
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
52022
Trading Cancer for Data: Machine Learning for Cancer Diagnosis
L Gazit
WSR Magazine, 11-15, 2017
32017
Microwave-Links In Cellular Backhaul Networks: Statistical Studying And Modeling
L Gazit, H Messer
City 60 (40), 6,251, 2017
22017
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
12022
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
12019
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
12018
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