Eve LoCastro
Memorial Sloan Kettering Cancer Center(US)Kettering University(US)
Publications by Year
Research Areas
MRI in cancer diagnosis, Radiomics and Machine Learning in Medical Imaging, Advanced MRI Techniques and Applications, Advanced Neuroimaging Techniques and Applications, Advanced Radiotherapy Techniques
Most-Cited Works
- → Network Diffusion Model of Progression Predicts Longitudinal Patterns of Atrophy and Metabolism in Alzheimer’s Disease(2015)219 cited
- → Using Auto-Segmentation to Reduce Contouring and Dose Inconsistency in Clinical Trials: The Simulated Impact on RTOG 0617(2020)58 cited
- → Spatial patterns of genome‐wide expression profiles reflect anatomic and fiber connectivity architecture of healthy human brain(2014)55 cited
- → Multi-Compartment T2 Relaxometry Using a Spatially Constrained Multi-Gaussian Model(2014)54 cited
- → Connectivity, not region-intrinsic properties, predicts regional vulnerability to progressive tau pathology in mouse models of disease(2017)35 cited
- → Repeatability of Quantitative Diffusion-Weighted Imaging Metrics in Phantoms, Head-and-Neck and Thyroid Cancers: Preliminary Findings(2019)29 cited
- → Computational Modeling of Interstitial Fluid Pressure and Velocity in Head and Neck Cancer Based on Dynamic Contrast-Enhanced Magnetic Resonance Imaging: Feasibility Analysis(2020)26 cited
- → Library of deep-learning image segmentation and outcomes model-implementations(2020)24 cited
- → Mature Hippocampal Neurons Require LIS1 for Synaptic Integrity: Implications for Cognition(2017)22 cited
- → Prospectively-validated deep learning model for segmenting swallowing and chewing structures in CT(2021)20 cited