Deep lessons learned: Radiology, oncology, pathology, and computer science experts unite around artificial intelligence to strive for earlier pancreatic cancer diagnosis

Radiomics: Images Are More than Pictures, They Are Data

Robert J. Gillies, Paul E. Kinahan, Hedvig Hricak · Radiology · 2015 · 8.3K citations

Medicine, Bioinformatics, Biomedical Informatics +17

Abdominal multi-organ segmentation with organ-attention networks and statistical fusion

Yan Wang, Yuyin Zhou, Wei Shen et al. · Medical Image Analysis · 2019 · 247 citations · Full text

Medicine, Biomedical Engineering, Radiology +15

Utility of CT Radiomics Features in Differentiation of Pancreatic Ductal Adenocarcinoma From Normal Pancreatic Tissue

Linda C. Chu, Seyoun Park, Satomi Kawamoto et al. · American Journal of Roentgenology · 2019 · 190 citations

Medicine, Oncology, Radiology +15

Prior-Aware Neural Network for Partially-Supervised Multi-Organ Segmentation

Yuyin Zhou, Zhe Li, Song Bai et al. · 2019 · 183 citations

Medicine, Computer Science, Radiology +17

Application of Deep Learning to Pancreatic Cancer Detection: Lessons Learned From Our Initial Experience

Linda C. Chu, Seyoun Park, Satomi Kawamoto et al. · Journal of the American College of Radiology · 2019 · 92 citations

Computing, Computer Science, Oncology +16