Daniel Ruderman
Publications by Year
Research Areas
Neural dynamics and brain function, Visual perception and processing mechanisms, Radiomics and Machine Learning in Medical Imaging, Cell Image Analysis Techniques, AI in cancer detection
Most-Cited Works
- → A cross-platform toolkit for mass spectrometry and proteomics(2012)4,194 cited
- → Statistics of natural images: Scaling in the woods(1994)939 cited
- → The statistics of natural images(1994)878 cited
- → Statistics of cone responses to natural images: implications for visual coding(1998)716 cited
- → Independent component analysis of natural image sequences yields spatio-temporal filters similar to simple cells in primary visual cortex(1998)428 cited
- → Origins of scaling in natural images(1997)361 cited
- → Deep learning-enabled breast cancer hormonal receptor status determination from base-level H&E stains(2020)238 cited
- → Translation-Invariant Orientation Tuning in Visual “Complex” Cells Could Derive from Intradendritic Computations(1998)144 cited
- → Deep learned tissue “fingerprints” classify breast cancers by ER/PR/Her2 status from H&E images(2020)95 cited