Amber L. Simpson
Queen's University(CA)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, Pancreatic and Hepatic Oncology Research, Hepatocellular Carcinoma Treatment and Prognosis, Medical Image Segmentation Techniques, AI in cancer detection
Most-Cited Works
- → Extracellular Vesicle and Particle Biomarkers Define Multiple Human Cancers(2020)1,200 cited
- → The Medical Segmentation Decathlon(2022)1,122 cited
- → A large annotated medical image dataset for the development and evaluation of segmentation algorithms(2019)717 cited
- → Genetic Determinants of Outcome in Intrahepatic Cholangiocarcinoma(2021)153 cited
- → Survival Prediction in Pancreatic Ductal Adenocarcinoma by Quantitative Computed Tomography Image Analysis(2018)122 cited
- → Radiomics-based prediction of microsatellite instability in colorectal cancer at initial computed tomography evaluation(2019)112 cited
- → Influence of CT acquisition and reconstruction parameters on radiomic feature reproducibility(2018)111 cited
- → CT radiomics to predict high‐risk intraductal papillary mucinous neoplasms of the pancreas(2018)102 cited
- → Remnant Growth Rate after Portal Vein Embolization Is a Good Early Predictor of Post-Hepatectomy Liver Failure(2014)97 cited
- → Preliminary study of tumor heterogeneity in imaging predicts two year survival in pancreatic cancer patients(2017)87 cited