Isabella Nogues
Harvard University(US)Cancer Research And Biostatistics(US)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, Lung Cancer Diagnosis and Treatment, Medical Imaging Techniques and Applications, AI in cancer detection, Advanced Neural Network Applications
Most-Cited Works
- → Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning(2016)5,704 cited
- → Large-scale pancreatic cancer detection via non-contrast CT and deep learning(2023)277 cited
- → Automatic Lymph Node Cluster Segmentation Using Holistically-Nested Neural Networks and Structured Optimization in CT Images(2016)61 cited
- → Deep Learning for Fully Automated Prediction of Overall Survival in Patients with Oropharyngeal Cancer Using FDG-PET Imaging(2021)54 cited
- → Segmentation label propagation using deep convolutional neural networks and dense conditional random field(2016)49 cited
- → 3D Graph Anatomy Geometry-Integrated Network for Pancreatic Mass Segmentation, Diagnosis, and Quantitative Patient Management(2021)40 cited
- → Deep Learning for Fully Automated Prediction of Overall Survival in Patients Undergoing Resection for Pancreatic Cancer(2022)36 cited
- → Unsupervised Joint Mining of Deep Features and Image Labels for Large-Scale Radiology Image Categorization and Scene Recognition(2017)36 cited
- → Unsupervised Category Discovery via Looped Deep Pseudo-Task Optimization Using a Large Scale Radiology Image Database(2016)11 cited