Automated White Blood Cell Counting in Nailfold Capillary Using Deep Learning Segmentation and Video Stabilization

Automated detection of neutropenia using non‐invasive video microscopy of superficial capillaries

(2019) Alberto Pablo‐Trinidad et al.   AMERICAN JOURNAL OF HEMATOLOGY

H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes

(2018) Xiaomeng Li et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

(2018) Liang-Chieh Chen et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Non-invasive detection of severe neutropenia in chemotherapy patients by optical imaging of nailfold microcirculation

(2018) Aurélien Bourquard et al.   Scientific Reports

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Neutrophil left shift and white blood cell count as markers of bacterial infection

(2016) Takayuki Honda et al.   CLINICA CHIMICA ACTA

Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

(2015) Kaiming He et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Combining Immature and Total Neutrophil Counts to Predict Early Onset Sepsis in Term and Late Preterm Newborns

(2014) Thomas B. Newman et al.   PEDIATRIC INFECTIOUS DISEASE JOURNAL

Predictive value of lymphocytopenia and the neutrophil-lymphocyte count ratio for severe imported malaria

(2013) Marlies E van Wolfswinkel et al.   MALARIA JOURNAL

Noninvasive imaging of flowing blood cells using label-free spectrally encoded flow cytometry

(2012) Lior Golan et al.   Biomedical Optics Express

Efficient subpixel image registration algorithms

(2008) Manuel Guizar-Sicairos et al.   OPTICS LETTERS