Transfer Learning with Deep Convolutional Neural Networks for Classifying Cellular Morphological Changes

A probabilistic approach to joint cell tracking and segmentation in high-throughput microscopy videos

(2018) Assaf Arbelle et al.   MEDICAL IMAGE ANALYSIS

Variational Inference: A Review for Statisticians

(2017) David M. Blei et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Data-analysis strategies for image-based cell profiling

(2017) Juan C Caicedo et al.   NATURE METHODS

Accurate Classification of Protein Subcellular Localization from High-Throughput Microscopy Images Using Deep Learning

(2017) Tanel Pärnamaa et al.   G3-Genes Genomes Genetics

Classifying and segmenting microscopy images with deep multiple instance learning

(2016) Oren Z. Kraus et al.   BIOINFORMATICS

CP-CHARM: segmentation-free image classification made accessible

(2016) Virginie Uhlmann et al.   BMC BIOINFORMATICS

Computer vision for high content screening

(2016) Oren Z. Kraus et al.   CRITICAL REVIEWS IN BIOCHEMISTRY AND MOLECULAR BIOLOGY

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Pipeline for illumination correction of images for high-throughput microscopy

(2014) S. SINGH et al.   JOURNAL OF MICROSCOPY

Single-cell and multivariate approaches in genetic perturbation screens

(2014) Prisca Liberali et al.   NATURE REVIEWS GENETICS

Machine learning in cell biology – teaching computers to recognize phenotypes

(2013) Christoph Sommer et al.   JOURNAL OF CELL SCIENCE

High-Content Phenotypic Profiling of Drug Response Signatures across Distinct Cancer Cells

(2010) P. D. Caie et al.   MOLECULAR CANCER THERAPEUTICS

Assessment of Radiologist Performance in the Detection of Lung Nodules

(2008) Samuel G. Armato et al.   ACADEMIC RADIOLOGY