| Potential added value of PET/CT radiomics for survival prognostication beyond AJCC 8th edition staging in oropharyngeal squamous cell carcinoma SP Haider, T Zeevi, P Baumeister, C Reichel, K Sharaf, R Forghani, ... Cancers 12 (7), 1778, 2020 | 46 | 2020 |
| PET/CT radiomics signature of human papilloma virus association in oropharyngeal squamous cell carcinoma SP Haider, A Mahajan, T Zeevi, P Baumeister, C Reichel, K Sharaf, ... European Journal of Nuclear Medicine and Molecular Imaging 47, 2978-2991, 2020 | 45 | 2020 |
| Prediction of post-radiotherapy locoregional progression in HPV-associated oropharyngeal squamous cell carcinoma using machine-learning analysis of baseline PET/CT radiomics SP Haider, K Sharaf, T Zeevi, P Baumeister, C Reichel, R Forghani, ... Translational oncology 14 (1), 100906, 2021 | 25 | 2021 |
| Admission computed tomography radiomic signatures outperform hematoma volume in predicting baseline clinical severity and functional outcome in the ATACH‐2 trial intracerebral … SP Haider, AI Qureshi, A Jain, H Tharmaseelan, ER Berson, T Zeevi, ... European journal of neurology 28 (9), 2989-3000, 2021 | 18 | 2021 |
| Quantifying the yellow signal driver behavior based on naturalistic data from digital enforcement cameras H Bar-Gera, O Musicant, E Schechtman, T Ze’evi Accident Analysis & Prevention 96, 371-381, 2016 | 18 | 2016 |
| Clinical implementation of artificial intelligence in neuroradiology with development of a novel workflow-efficient picture archiving and communication system-based automated … M Aboian, K Bousabarah, E Kazarian, T Zeevi, W Holler, S Merkaj, ... Frontiers in Neuroscience 16, 860208, 2022 | 16 | 2022 |
| Machine learning applications for differentiation of glioma from brain metastasis—a systematic review L Jekel, WR Brim, M von Reppert, L Staib, G Cassinelli Petersen, ... Cancers 14 (6), 1369, 2022 | 16 | 2022 |
| Machine learning in differentiating gliomas from primary CNS lymphomas: a systematic review, reporting quality, and risk of bias assessment GIC Petersen, J Shatalov, T Verma, WR Brim, H Subramanian, A Brackett, ... American Journal of Neuroradiology 43 (4), 526-533, 2022 | 11 | 2022 |
| Machine Learning Models for Prediction of Posttreatment Recurrence in Early-Stage Hepatocellular Carcinoma Using Pretreatment Clinical and MRI Features: A Proof-of-Concept Study S Iseke, T Zeevi, AS Kucukkaya, R Raju, M Gross, SP Haider, ... American Journal of Roentgenology 220 (2), 245-255, 2023 | 9 | 2023 |
| MR imaging biomarkers for the prediction of outcome after radiofrequency ablation of hepatocellular carcinoma: qualitative and quantitative assessments of the liver imaging … A Petukhova-Greenstein, T Zeevi, J Yang, N Chai, P DiDomenico, Y Deng, ... Journal of Vascular and Interventional Radiology 33 (7), 814-824. e3, 2022 | 9 | 2022 |
| Machine learning tools for image-based glioma grading and the quality of their reporting: Challenges and opportunities S Merkaj, RC Bahar, T Zeevi, MD Lin, I Ikuta, K Bousabarah, ... Cancers 14 (11), 2623, 2022 | 9 | 2022 |
| CT angiographic radiomics signature for risk stratification in anterior large vessel occlusion stroke EW Avery, J Behland, A Mak, SP Haider, T Zeevi, PC Sanelli, CG Filippi, ... NeuroImage: Clinical 34, 103034, 2022 | 9 | 2022 |
| Reliable prediction of survival in advanced-stage hepatocellular carcinoma treated with sorafenib: comparing 1D and 3D quantitative tumor response criteria on MRI LA Doemel, J Chapiro, F Laage Gaupp, LJ Savic, AS Kucukkaya, ... European radiology 31, 2737-2746, 2021 | 9 | 2021 |
| Machine learning models for classifying high-and low-grade gliomas: a systematic review and quality of reporting analysis RC Bahar, S Merkaj, GI Cassinelli Petersen, N Tillmanns, H Subramanian, ... Frontiers in Oncology 12, 856231, 2022 | 7 | 2022 |
| Identifying clinically applicable machine learning algorithms for glioma segmentation: recent advances and discoveries N Tillmanns, AE Lum, G Cassinelli, S Merkaj, T Verma, T Zeevi, L Staib, ... Neuro-Oncology Advances 4 (1), vdac093, 2022 | 5 | 2022 |
| Thermal ablation alone vs thermal ablation combined with transarterial chemoembolization for patients with small (< 3 cm) hepatocellular carcinoma NX Chai, J Chapiro, A Petukhova, M Gross, A Kucukkaya, R Raju, T Zeevi, ... Clinical imaging 76, 123-129, 2021 | 5 | 2021 |
| Predicting tumor recurrence on baseline MR imaging in patients with early-stage hepatocellular carcinoma using deep machine learning AS Kucukkaya, T Zeevi, NX Chai, R Raju, SP Haider, M Elbanan, ... Scientific Reports 13 (1), 7579, 2023 | 4 | 2023 |
| Socially motivated partial cooperation in multi-agent local search T Ze'evi, R Zivan, O Lev AAMAS, 2150-2152, 2018 | 4 | 2018 |
| Radiomic markers of intracerebral hemorrhage expansion on non-contrast CT: independent validation and comparison with visual markers SP Haider, AI Qureshi, A Jain, H Tharmaseelan, ER Berson, T Zeevi, ... Frontiers in Neuroscience 17, 1225342, 2023 | 3 | 2023 |
| Dataset on acute stroke risk stratification from CT angiographic radiomics EW Avery, J Behland, A Mak, SP Haider, T Zeevi, PC Sanelli, CG Filippi, ... Data in Brief 44, 108542, 2022 | 3 | 2022 |
Lawrence StaibDepts. of Radiology & Biomedical Imaging, Biomedical Engineering and Electrical Engineering, YaleBestätigte E-Mail-Adresse bei yale.edu
