Volumetric Segmentation of Cell Cycle Markers in Confocal Images Using Machine Learning and Deep Learning

CellProfiler 3.0: Next-generation image processing for biology

(2018) Claire McQuin et al.   PLOS BIOLOGY

Deep learning enables cross-modality super-resolution in fluorescence microscopy

(2018) Hongda Wang et al.   NATURE METHODS

Performance of convolutional neural networks for identification of bacteria in 3D microscopy datasets

(2018) Edouard A. Hay et al.   PLoS Computational Biology

Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet

(2018) Nicholas Bien et al.   PLOS MEDICINE

Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions

(2017) Zeynettin Akkus et al.   JOURNAL OF DIGITAL IMAGING

Application of Haralick texture features in brain [18F]-florbetapir positron emission tomography without reference region normalization

(2017) Desmond L Campbell et al.   Clinical Interventions in Aging

Haralick texture features from apparent diffusion coefficient (ADC) MRI images depend on imaging and pre-processing parameters

(2017) Patrik Brynolfsson et al.   Scientific Reports

Robust and automated three-dimensional segmentation of densely packed cell nuclei in different biological specimens with Lines-of-Sight decomposition

(2015) B. Mathew et al.   BMC BIOINFORMATICS

Fiji: an open-source platform for biological-image analysis

(2012) Johannes Schindelin et al.   NATURE METHODS

Speeded-Up Robust Features (SURF)

(2008) Herbert Bay et al.   COMPUTER VISION AND IMAGE UNDERSTANDING

Using SPOT-5 HRG Data in Panchromatic Mode for Operational Detection of Small Ships in Tropical Area

(2008) Christina Corbane et al.   SENSORS