A deep convolutional neural network for classification of red blood cells in sickle cell anemia

Visualizing red blood cell sickling and the effects of inhibition of sphingosine kinase 1 using soft X-ray tomography

(2016) Michele C. Darrow et al.   JOURNAL OF CELL SCIENCE

Detecting overlapping instances in microscopy images using extremal region trees

(2016) Carlos Arteta et al.   MEDICAL IMAGE ANALYSIS

Euclidean Distance Matrices: Essential theory, algorithms, and applications

(2015) Ivan Dokmanic et al.   IEEE SIGNAL PROCESSING MAGAZINE

Global, regional, and national age–sex specific all-cause and cause-specific mortality for 240 causes of death, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013

(2015)   LANCET

Performance evaluation of classification algorithms by k-fold and leave-one-out cross validation

(2015) Tzu-Tsung Wong   PATTERN RECOGNITION

Segmentation of White Blood Cells through Nucleus Mark Watershed Operations and Mean Shift Clustering

(2015) Zhi Liu et al.   SENSORS

Imaging flow cytometry for automated detection of hypoxia-induced erythrocyte shape change in sickle cell disease

(2014) Eduard J. van Beers et al.   AMERICAN JOURNAL OF HEMATOLOGY

Red blood cell alloimmunization is influenced by recipient inflammatory state at time of transfusion in patients with sickle cell disease

(2014) Ross M. Fasano et al.   BRITISH JOURNAL OF HAEMATOLOGY

HEp-2 cell image classification with multiple linear descriptors

(2013) Lingqiao Liu et al.   PATTERN RECOGNITION

Automatic Classification of Cellular Expression by Nonlinear Stochastic Embedding (ACCENSE)

(2013) K. Shekhar et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

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

(2012) Johannes Schindelin et al.   NATURE METHODS

CellTrack: an open-source software for cell tracking and motility analysis

(2008) A. Sacan et al.   BIOINFORMATICS