Jayasree Chakraborty
Memorial Sloan Kettering Cancer Center(US)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, Pancreatic and Hepatic Oncology Research, AI in cancer detection, Fuzzy and Soft Set Theory, Hepatocellular Carcinoma Treatment and Prognosis
Most-Cited Works
- → Brain Tumor Classification Using ResNet-101 Based Squeeze and Excitation Deep Neural Network(2019)151 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
- → Preliminary study of tumor heterogeneity in imaging predicts two year survival in pancreatic cancer patients(2017)87 cited
- → Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma Using Quantitative Image Analysis(2017)80 cited
- → Radiomic feature reproducibility in contrast-enhanced CT of the pancreas is affected by variabilities in scan parameters and manual segmentation(2019)76 cited
- → Cooperative multi-robot path planning using differential evolution(2009)70 cited
- → Automatic Detection of Pectoral Muscle Using Average Gradient and Shape Based Feature(2011)59 cited