Cell morphology-based machine learning models for human cell state classification

Predictability of drug-induced liver injury by machine learning

(2020) Marco Chierici et al.   Biology Direct

Intelligent image-based deformation-assisted cell sorting with molecular specificity

(2020) Ahmad Ahsan Nawaz et al.   NATURE METHODS

Raman image-activated cell sorting

(2020) Nao Nitta et al.   Nature Communications

Quantitative Phase Imaging Flow Cytometry for Ultra‐Large‐Scale Single‐Cell Biophysical Phenotyping

(2019) Kelvin C.M. Lee et al.   CYTOMETRY PART A

Machine Learning Based Real‐Time Image‐Guided Cell Sorting and Classification

(2019) Yi Gu et al.   CYTOMETRY PART A

Leveraging machine vision in cell-based diagnostics to do more with less

(2019) Minh Doan et al.   NATURE MATERIALS

Label-free chemical imaging flow cytometry by high-speed multicolor stimulated Raman scattering

(2019) Yuta Suzuki et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Capturing single-cell heterogeneity via data fusion improves image-based profiling

(2019) Mohammad H. Rohban et al.   Nature Communications

Deep learning in drug discovery: opportunities, challenges and future prospects

(2019) Antonio Lavecchia   DRUG DISCOVERY TODAY

A deep learning framework for neuroscience

(2019) Blake A. Richards et al.   NATURE NEUROSCIENCE

Flow Cytometry Contributions for the Diagnosis and Immunopathological Characterization of Primary Immunodeficiency Diseases With Immune Dysregulation

(2019) Otavio Cabral-Marques et al.   Frontiers in Immunology

Intelligent frequency-shifted optofluidic time-stretch quantitative phase imaging

(2019) Yunzhao Wu et al.   OPTICS EXPRESS

Machine learning for target discovery in drug development

(2019) Tiago Rodrigues et al.   CURRENT OPINION IN CHEMICAL BIOLOGY

Feasibility study of stain-free classification of cell apoptosis based on diffraction imaging flow cytometry and supervised machine learning techniques

(2018) Jingwen Feng et al.   APOPTOSIS

Next-Generation Machine Learning for Biological Networks

(2018) Diogo M. Camacho et al.   CELL

Nitroxyl Modified Tobacco Mosaic Virus as a Metal-Free High-Relaxivity MRI and EPR Active Superoxide Sensor

(2018) Madushani Dharmarwardana et al.   MOLECULAR PHARMACEUTICS

Regulating the Uptake of Viral Nanoparticles in Macrophage and Cancer Cells via a pH Switch

(2018) Hamilton Lee et al.   MOLECULAR PHARMACEUTICS

A guide to automated apoptosis detection: How to make sense of imaging flow cytometry data

(2018) Dennis Pischel et al.   PLoS One

Machine Learning in Medical Imaging

(2018) Maryellen L. Giger   Journal of the American College of Radiology

Classification of Normal and Apoptotic Cells from Fluorescence Microscopy Images Using Generalized Polynomial Chaos and Level Set Function

(2016) Yuncheng Du et al.   MICROSCOPY AND MICROANALYSIS

High-speed atomic force microscopy shows that annexin V stabilizes membranes on the second timescale

(2016) Atsushi Miyagi et al.   Nature Nanotechnology

Discriminating direct and indirect connectivities in biological networks

(2015) Taek Kang et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

An Apoptotic ‘Eat Me’ Signal: Phosphatidylserine Exposure

(2015) Katsumori Segawa et al.   TRENDS IN CELL BIOLOGY

Using High-Throughput Transcriptomic Data for Prognosis: A Critical Overview and Perspectives

(2014) Eytan Domany   CANCER RESEARCH

Role of Flippases, Scramblases and Transfer Proteins in Phosphatidylserine Subcellular Distribution

(2014) Hannah M. Hankins et al.   TRAFFIC

Biological 2-Input Decoder Circuit in Human Cells

(2014) Michael Guinn et al.   ACS Synthetic Biology

SMOTE for high-dimensional class-imbalanced data

(2013) Rok Blagus et al.   BMC BIOINFORMATICS

Towards Improved Cancer Diagnosis and Prognosis Using Analysis of Gene Expression Data and Computer Aided Imaging

(2009) Gabriela Alexe et al.   EXPERIMENTAL BIOLOGY AND MEDICINE