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 | 26 | 2021 |
Supervised machine learning in oncology: a clinician's guide N Murali, A Kucukkaya, A Petukhova, J Onofrey, J Chapiro Digestive disease interventions 4 (01), 073-081, 2020 | 18 | 2020 |
Comparison of metabolic and immunologic responses to transarterial chemoembolization with different chemoembolic regimens in a rabbit VX2 liver tumor model LA Doemel, JG Santana, LJ Savic, FML Gaupp, T Borde, ... European radiology, 1-11, 2022 | 12 | 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 | 10 | 2021 |
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 |
Changes of radiological examination volumes over the course of the COVID-19 pandemic: a comprehensive analysis of the different waves of infection FN Fleckenstein, T Maleitzke, G Böning, V Kahl, A Petukhova-Greenstein, ... Insights into Imaging 13 (1), 41, 2022 | 6 | 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 |
MR Imaging–Based In Vivo Macrophage Imaging to Monitor Immune Response after Radiofrequency Ablation of the Liver JG Santana, A Petukhova-Greenstein, M Gross, F Hyder, V Pekurovsky, ... Journal of Vascular and Interventional Radiology 34 (3), 395-403. e5, 2023 | 4 | 2023 |
Quantitative automated segmentation of lipiodol deposits on cone-beam CT Imaging acquired during transarterial chemoembolization for liver tumors: a deep learning approach R Malpani, CW Petty, J Yang, N Bhatt, T Zeevi, V Chockalingam, R Raju, ... Journal of Vascular and Interventional Radiology 33 (3), 324-332. e2, 2022 | 3 | 2022 |
Cancer tracking system improves timeliness of liver cancer care at a Veterans Hospital: A comparison of cohorts before and after implementation of an automated care … Y Zhang, C Mezzacappa, L Shen, A Ivatorov, A Petukhova-Greenstein, ... PLOS Digital Health 1 (8), e0000080, 2022 | 1 | 2022 |
Proof-Of-Concept Use Of Machine Learning To Predict Tumor Recurrence Of Early-Stage Hepatocellular Carcinoma Before Therapy Using Baseline Magnetic Resonance Imaging R Batra, A Kuecuekkaya, T Zeevi, R Raju, N Chai, S Haider, M Elbanan, ... Transplantation 104 (S3), S43-S44, 2020 | 1 | 2020 |
Cancer tracking system improves timeliness of liver cancer care at a Veterans Hospital: A comparison of cohorts before and after implementation of an automated care … Y Zhang, C Mezzacappa, L Shen, A Ivatorov, A Petukhova-Greenstein, ... | | 2022 |
Proof-of-concept use of machine learning to predict tumor recurrence of early-stage hepatocellular carcinoma before therapy using baseline magnetic resonance imaging AS Kücükkaya, T Zeevi, R Raju, N Chai, S Haider, M Elbanan, ... Journal of Hepatology 73, S130-S131, 2020 | | 2020 |