| A radiogenomic dataset of non-small cell lung cancer S Bakr, O Gevaert, S Echegaray, K Ayers, M Zhou, M Shafiq, H Zheng, ... Scientific data 5 (1), 1-9, 2018 | 227 | 2018 |
| GFPT2-Expressing Cancer-Associated Fibroblasts Mediate Metabolic Reprogramming in Human Lung Adenocarcinoma W Zhang, G Bouchard, A Yu, M Shafiq, M Jamali, JB Shrager, K Ayers, ... Cancer research 78 (13), 3445-3457, 2018 | 89 | 2018 |
| Noninvasive radiomics signature based on quantitative analysis of computed tomography images as a surrogate for microvascular invasion in hepatocellular carcinoma: a pilot study S Bakr, S Echegaray, R Shah, A Kamaya, J Louie, S Napel, N Kothary, ... Journal of Medical Imaging 4 (4), 041303-041303, 2017 | 81 | 2017 |
| Data for NSCLC radiogenomics collection S Bakr, O Gevaert, S Echegaray, K Ayers, M Zhou, M Shafiq, H Zheng, ... The Cancer Imaging Archive 10, K9, 2017 | 73 | 2017 |
| Quantitative Image Feature Engine (QIFE): an open-source, modular engine for 3D quantitative feature extraction from volumetric medical images S Echegaray, S Bakr, DL Rubin, S Napel Journal of digital imaging 31, 403-414, 2018 | 55 | 2018 |
| [18F] FDG positron emission tomography (PET) tumor and penumbra imaging features predict recurrence in non–small cell lung cancer SA Mattonen, GA Davidzon, S Bakr, S Echegaray, ANC Leung, ... Tomography 5 (1), 145-153, 2019 | 29 | 2019 |
| Quantitative imaging feature pipeline: a web-based tool for utilizing, sharing, and building image-processing pipelines SA Mattonen, D Gude, S Echegaray, S Bakr, DL Rubin, S Napel Journal of Medical Imaging 7 (4), 042803-042803, 2020 | 24 | 2020 |
| Interreader variability in semantic annotation of microvascular invasion in hepatocellular carcinoma on contrast-enhanced triphasic CT images S Bakr, O Gevaert, B Patel, A Kesselman, R Shah, S Napel, N Kothary Radiology: Imaging Cancer 2 (3), e190062, 2020 | 12 | 2020 |
| Imaging-AMARETTO: an imaging genomics software tool to interrogate multiomics networks for relevance to radiography and histopathology imaging biomarkers of clinical outcomes O Gevaert, M Nabian, S Bakr, C Everaert, J Shinde, A Manukyan, ... JCO clinical cancer informatics 4, 421-435, 2020 | 8 | 2020 |
| Data for NSCLC Radiogenomics Collection. The Cancer Imaging Archive. 2017 S Bakr, O Gevaert, S Echegaray, K Ayers, M Zhou, M Shafiq, H Zheng, ... | 7 | |
| A radiogenomic dataset of non-small cell lung cancer. Sci Data 5: 180202 S Bakr, O Gevaert, S Echegaray, K Ayers, M Zhou, M Shafiq, H Zheng, ... | 6 | 2018 |
| Data for NSCLC Radiogenomics collection. The Cancer Imaging Archive S Bakr, O Gevaert, S Echegaray, K Ayers, M Zhou, M Shafiq, H Zheng, ... | 6 | 2017 |
| A radiogenomic dataset of non-small cell lung cancer. Sci Data. 2018; 5: 180202 S Bakr, O Gevaert, S Echegaray, K Ayers, M Zhou, M Shafiq, H Zheng, ... | 5 | 2018 |
| Identifying key multifunctional components shared by critical cancer and normal liver pathways via SparseGMM S Bakr, K Brennan, P Mukherjee, J Argemi, M Hernaez, O Gevaert Cell Reports Methods 3 (1), 2023 | 1 | 2023 |
| Characterization and Linking of Imaging and Molecular Patterns in Hepatocellular Carcinoma SHA Bakr Stanford University, 2021 | | 2021 |
| Genomics and Interventional Oncology in Primary Liver Cancer R Slovak, MD Case, HS Kim Digestive Disease Interventions 4 (01), 053-059, 2020 | | 2020 |
| Introduction to AMARETTO J Shinde, C Everaert, S Bakr, M Nabian, J Xu, V Carey, N Pochet, ... | | 2019 |
| Positron Emission Tomography (PET) Tumor Penumbra Imaging Features Predict Outcome in Non-Small Cell Lung Cancer S Mattonen, GA Davidzon, S Bakr, M Vasanawala, GS Horng, S Napel, ... D99. CLINICALLY INFORMATIVE BIOMARKERS IN LUNG CANCER: A NEEDLE IN A …, 2018 | | 2018 |
| Imaging-AMARETTO: a software tool for imaging genomics in cancer O Gevaert, M Nabian, S Bakr, C Everaert, J Shinde, A Manukyan, ... | | |
Sandy NapelProfessor of Radiology, Stanford UniversityVerificeret mail på stanford.edu
