Brandon Konkel
Duke University(US)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, Renal and Vascular Pathologies, Liver Disease Diagnosis and Treatment, AI in cancer detection, Renal Diseases and Glomerulopathies
Most-Cited Works
- → Radiomics: a primer on high-throughput image phenotyping(2021)82 cited
- → Duke Liver Dataset: A Publicly Available Liver MRI Dataset with Liver Segmentation Masks and Series Labels(2023)31 cited
- → Fully automated analysis of OCT imaging of human kidneys for prediction of post-transplant function(2019)23 cited
- → Towards optimal deep fusion of imaging and clinical data via a model‐based description of fusion quality(2022)11 cited
- → CT-derived body composition measurements as predictors for neoadjuvant treatment tolerance and survival in gastroesophageal adenocarcinoma(2022)6 cited
- → Systematic Analysis of Common Factors Impacting Deep Learning Model Generalizability in Liver Segmentation(2023)5 cited
- → A Method for Efficient De-identification of DICOM Metadata and Burned-in Pixel Text(2024)5 cited
- → Duke Liver Dataset (MRI)(2020)3 cited
- → Duke Liver Dataset (MRI) v2(2020)2 cited