Ilker Ersoy

University of Missouri — United States

Biochemistry, Genetics and Molecular Biology · Life Sciences

17h-index1.3kcitations53works0.32yr avg
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Research Topics

Cell Image Analysis Techniques(15), Digital Imaging for Blood Diseases(8), AI in cancer detection(7), Medical Image Segmentation Techniques(6), Advanced Image and Video Retrieval Techniques(6)

Publications53 total

Phase transitions reveal hierarchical structure in deep neural networks
arXiv (Cornell University)·2025Open Access
A computational approach for automated assessment of poultry barns with field validation
Smart Agricultural Technology·2025Open Access
Land Valuation Using an Innovative Model Combining Machine Learning and Spatial Context
2024· 1 cited
Automated Detection of Poultry Farms from Aerial Images for Actionable AI System toward Biosecurity Applications
2023· 2 cited
DRPnet: automated particle picking in cryo-electron micrographs using deep regression
BMC Bioinformatics·2021· 31 citedOpen Access
Malaria Screener: a smartphone application for automated malaria screening
BMC Infectious Diseases·2020· 62 citedOpen Access
DRPnet - Automated Particle Picking in Cryo-Electron Micrographs using Deep Regression
2019· 2 citedOpen Access
Malaria parasite detection and cell counting for human and mouse using thin blood smear microscopy
Journal of Medical Imaging·2018· 47 citedOpen Access
Automated Particle Picking in Cryo-Electron Micrographs using Deep Regression
2018
Improving Nuclei Classification Performance in H&E Stained Tissue Images Using Fully Convolutional Regression Network and Convolutional Neural Network
2018· 12 cited
Understanding the learned behavior of customized convolutional neural networks toward malaria parasite detection in thin blood smear images
Journal of Medical Imaging·2018· 66 cited
REDESIGN: RDF-based Differential Signaling Framework for Precision Medicine Analytics.
PubMed·2018· 1 citedOpen Access
Deep learning approaches in electron microscopy imaging for mitochondria segmentation
International Journal of Data Mining and Bioinformatics·2018· 3 cited
Deep learning approaches in electron microscopy imaging for mitochondria segmentation
International Journal of Data Mining and Bioinformatics·2018· 8 cited
Mitochondria segmentation in electron microscopy volumes using deep convolutional neural network
2017· 59 cited
Integrating segmentation with deep learning for enhanced classification of epithelial and stromal tissues in H&E images
Pattern Recognition Letters·2017· 62 cited
Nucleus Classification in Colon Cancer H&E Images using Deep Learning
Microscopy and Microanalysis·2017· 7 citedOpen Access
Eye Gaze Pattern Analysis of Whole Slide Image Viewing Behavior in PathEdEx Platform
Microscopy and Microanalysis·2017· 2 citedOpen Access
Accuracy and Reproducibility of Nuclear/Cytoplasmic Ratio Assessments in Urinary Cytology Specimens
Diagnostic Cytopathology·2017· 57 cited
PathEdEx – Uncovering High-explanatory Visual Diagnostics Heuristics Using Digital Pathology and Multiscale Gaze Data
Journal of Pathology Informatics·2017· 12 citedOpen Access
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Frequent Co-authors

Kannappan Palaniappan(22), Filiz Bunyak(22), Stefan Jaeger(7), Richard Hammer(7), Guna Seetharaman(6), Tommi White(6), Richard J. Maude(5), Dmitriy Shin(5), Chi‐Ren Shyu(5), Mahdieh Poostchi(4), S. R. Subramanya(4), George R. Thoma(3), Sameer Antani(3), İsmail Öztel(3), Gözde Yolcu(3), Zhongkui Hong(3), Zhe Sun(3), Gerald A. Meininger(3), Zainab Al-Taie(3), Timothy L. Haithcoat(3)