Paul Blake

The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes

Nicholas Heller, Niranjan Sathianathen, Arveen Kalapara et al. · arXiv (Cornell University) · 2019 · 328 citations · Full text

Engineering, Machine Learning, Digital Pathology +21

An international challenge to use artificial intelligence to define the state-of-the-art in kidney and kidney tumor segmentation in CT imaging.

Nicholas Heller, Sean McSweeney, Matthew Peterson et al. · Journal of Clinical Oncology · 2020 · 93 citations

Artificial Intelligence, Medical Image Segmentation, Engineering +23

Evaluation of a software package for automated quality assessment of contrast detail images—comparison with subjective visual assessment

Ana Pascoal, C. P. Lawinski, Ian Honey et al. · Physics in Medicine and Biology · 2005 · 60 citations

Contrast Detail Analysis, Engineering, Diagnosis +19

The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge

Nicholas Heller, Fabian Isensee, Klaus Maier‐Hein et al. · Medical Image Analysis · 2020 · 55 citations · Full text

Computed Tomography, Urology, Medical Imaging +10

A national strategy

Paul Blake · 2000 · 26 citations

Strategy Theory, Public Policy, International Relations +7