Sandy Napel
Affiliations: | Stanford University, Palo Alto, CA |
Area:
Computer Science, Biomedical Engineering, Radiology, Medical BiophysicsGoogle:
"Sandy Napel"Children
Sign in to add trainee| David S. Paik | grad student | 2002 | Stanford |
| Shaohua Sun | grad student | 2007 | Stanford |
| Padmavathi Sundaram | grad student | 2007 | Stanford |
| Feng Zhuge | grad student | 2007 | Stanford |
| Tejas S. Rakshe | grad student | 2008 | Stanford |
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Publications
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| Jaggi A, Mastrodicasa D, Charville GW, et al. (2021) Quantitative image features from radiomic biopsy differentiate oncocytoma from chromophobe renal cell carcinoma. Journal of Medical Imaging (Bellingham, Wash.). 8: 054501 |
| Balagurunathan Y, Beers A, McNitt-Gray M, et al. (2021) Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge. Ieee Transactions On Medical Imaging |
| Zhang M, Tong E, Hamrick F, et al. (2021) Machine-Learning Approach to Differentiation of Benign and Malignant Peripheral Nerve Sheath Tumors: A Multicenter Study. Neurosurgery |
| Tam LT, Yeom KW, Wright JN, et al. (2021) MRI-based radiomics for prognosis of pediatric diffuse intrinsic pontine glioma: an international study. Neuro-Oncology Advances. 3: vdab042 |
| Cetin I, Raisi-Estabragh Z, Petersen SE, et al. (2020) Radiomics Signatures of Cardiovascular Risk Factors in Cardiac MRI: Results From the UK Biobank. Frontiers in Cardiovascular Medicine. 7: 591368 |
| Ogunleye AA, Deptula PL, Inchauste SM, et al. (2020) The utility of three-dimensional models in complex microsurgical reconstruction. Archives of Plastic Surgery. 47: 428-434 |
| Bakr S, Gevaert O, Patel B, et al. (2020) Interreader Variability in Semantic Annotation of Microvascular Invasion in Hepatocellular Carcinoma on Contrast-enhanced Triphasic CT Images. Radiology. Imaging Cancer. 2: e190062 |
| Jaggi A, Mattonen SA, McNitt-Gray M, et al. (2020) Stanford DRO Toolkit: Digital Reference Objects for Standardization of Radiomic Features. Tomography (Ann Arbor, Mich.). 6: 111-117 |
| Mattonen SA, Gude D, Echegaray S, et al. (2020) Quantitative imaging feature pipeline: a web-based tool for utilizing, sharing, and building image-processing pipelines. Journal of Medical Imaging (Bellingham, Wash.). 7: 042803 |
| Zwanenburg A, Vallières M, Abdalah MA, et al. (2020) The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping. Radiology. 191145 |