Sandy Napel
Stanford University
H-index: 73
North America-United States
Top articles of Sandy Napel
Title | Journal | Author(s) | Publication Date |
---|---|---|---|
A radiogenomic approach for triple-negative breast cancer risk stratification | Cancer Research | Humaira Noor Yuanning Zheng Adam Mantz Ryle Zhou Andrew Kozlov | 2024/3/22 |
AI in Radiology: Opportunities and Challenges | Marta N Flory Sandy Napel Emily B Tsai | 2024/2/23 | |
Predicting treatment response for the safe non-operative management of patients with rectal cancer using an MRI-based deep-learning model. | Heather M Selby Charles Liu Vipul Sheth Sandy Napel Todd Wagner | 2023/6/1 | |
Early Detection of Lung Cancer in the NLST Dataset | medRxiv | Pritam Mukherjee Anna Brezhneva Sandy Napel Olivier Gevaert | 2023/3/2 |
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare | arXiv preprint arXiv:2309.12325 | Karim Lekadir Aasa Feragen Abdul Joseph Fofanah Alejandro F Frangi Alena Buyx | 2023/8/11 |
Machine learning with multimodal data for COVID-19 | Weijie Chen Rui C Sá Yuntong Bai Sandy Napel Olivier Gevaert | 2023/7/5 | |
Performance of alternative manual and automated deep learning segmentation techniques for the prediction of benign and malignant lung nodules | Journal of Medical Imaging | Heather M Selby Pritam Mukherjee Christopher Parham Sachin B Malik Olivier Gevaert | 2023/7/1 |
Radiomic features quantifying pixel-level characteristics of breast tumors from magnetic resonance imaging predict risk factors in triple-negative breast cancer. | Adam B Mantz Ryle Zhou Andrew Kozlov Wendy DeMartini Shu-Tian Chen | 2022/6/1 | |
Machine learning approach to differentiation of peripheral schwannomas and neurofibromas: a multi-center study | Neuro-oncology | Michael Zhang Elizabeth Tong Sam Wong Forrest Hamrick Maryam Mohammadzadeh | 2022/4/1 |
Predicting recurrence risks in lung cancer patients using multimodal radiomics and random survival forests | Journal of Medical Imaging | Jaryd R Christie Omar Daher Mohamed Abdelrazek Perrin E Romine Richard A Malthaner | 2022/11/1 |
Artificial intelligence and machine learning in cancer imaging | Dow-Mu Koh Nickolas Papanikolaou Ulrich Bick Rowland Illing Charles E Kahn Jr | 2022/10/27 | |
The medical segmentation decathlon | Nature communications | Michela Antonelli Annika Reinke Spyridon Bakas Keyvan Farahani Annette Kopp-Schneider | 2022/7/15 |
MRI-based radiomics for prognosis of pediatric diffuse intrinsic pontine glioma: an international study | Neuro-oncology advances | Lydia T Tam Kristen W Yeom Jason N Wright Alok Jaju Alireza Radmanesh | 2021/1/1 |
Machine-learning approach to differentiation of benign and malignant peripheral nerve sheath tumors: a multicenter study | Neurosurgery | Michael Zhang Elizabeth Tong Forrest Hamrick Edward H Lee Lydia T Tam | 2021/9/1 |
Machine learning radiomics model for early identification of small-cell lung cancer on computed tomography scans | JCO Clinical Cancer Informatics | Rajesh P Shah Heather M Selby Pritam Mukherjee Shefali Verma Peiyi Xie | 2021/7 |
Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge. | IEEE Transactions on Medical Imaging | Lubomir Hadjiiski Sandy Napel Dmitry Goldgof Gustavo Perez Pablo Arbelaez | 2021/12/1 |
The Journal of Medical Imaging would like to sincerely thank the following individuals who served as Associate Editors in 2020. The success of our publication hinges on the … | Journal of Medical Imaging | Katherine P Andriole Susan M Astley Stephen Aylward François O Bochud Jovan G Brankov | 2021/2 |
Pipelines in image analysis | Sandy Napel Ashish Sharma Annie Gu | 2021/9/30 | |
Neuro-Oncology Advances | Masafumi Miyai Tomohiro Kanayama Fuminori Hyodo Takamasa Kinoshita Takuma Ishihara | 2020 | |
Quantitative image features from radiomic biopsy differentiate oncocytoma from chromophobe renal cell carcinoma | Journal of Medical Imaging | Akshay Jaggi Domenico Mastrodicasa Gregory W Charville R Brooke Jeffrey Jr Sandy Napel | 2021/9/1 |