Scale selection and machine learning based cell segmentation and tracking in time lapse microscopy

Artificial intelligence in pediatric osteopenia diagnosis: evaluating deep network classification and model interpretability using wrist X-rays

Deep network and multi-atlas segmentation fusion for delineation of thigh muscle groups in three-dimensional water–fat separated MRI

Evaluating breast density classification by sparse approximation classifiers and deep networks using simulated digital mammograms

PET Imaging of Neurofibromatosis Type 1 with a Fluorine-18 Labeled Tryptophan Radiotracer

Multi-method and multi-atlas segmentation fusion for delineation of thigh muscle groups in 3D water-fat separated MRI

Mammographic Breast Density Classification by Integration of Deep Dictionaries and Multi-Model Sparse Approximations

A Joint Scale Analysis And Machine Learning Framework For Cell Detection And Segmentation In Time Lapse Microscopy

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