H. Kenny
United States Food and Drug Administration(US)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, Bladder and Urothelial Cancer Treatments, AI in cancer detection, Colorectal Cancer Screening and Detection, Digital Radiography and Breast Imaging
Most-Cited Works
- → Deep learning in medical imaging and radiation therapy(2018)725 cited
- → Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography(2016)288 cited
- → Urinary bladder segmentation in CT urography using deep‐learning convolutional neural network and level sets(2016)242 cited
- → Breast Cancer Diagnosis in Digital Breast Tomosynthesis: Effects of Training Sample Size on Multi-Stage Transfer Learning Using Deep Neural Nets(2018)234 cited
- → Multi-task transfer learning deep convolutional neural network: application to computer-aided diagnosis of breast cancer on mammograms(2017)231 cited
- → Bladder Cancer Treatment Response Assessment in CT using Radiomics with Deep-Learning(2017)211 cited
- → PROSTATEx Challenges for computerized classification of prostate lesions from multiparametric magnetic resonance images(2018)178 cited
- → Radiomics of Lung Nodules: A Multi-Institutional Study of Robustness and Agreement of Quantitative Imaging Features(2016)125 cited
- → Urinary bladder cancer staging in CT urography using machine learning(2017)114 cited
- → Evolutionary pruning of transfer learned deep convolutional neural network for breast cancer diagnosis in digital breast tomosynthesis(2018)104 cited