Lee A. D. Cooper

Orcid: 0000-0002-3504-4965

Affiliations:
  • Emory University, Atlanta, GA, USA


According to our database1, Lee A. D. Cooper authored at least 51 papers between 2006 and 2023.

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Bibliography

2023
Deep Gaussian Processes for Classification With Multiple Noisy Annotators. Application to Breast Cancer Tissue Classification.
IEEE Access, 2023

Crowdsourcing Segmentation of Histopathological Images Using Annotations Provided by Medical Students.
Proceedings of the Artificial Intelligence in Medicine, 2023

2022
MONAI: An open-source framework for deep learning in healthcare.
CoRR, 2022

Explainable nucleus classification using Decision Tree Approximation of Learned Embeddings.
Bioinform., 2022

2021
A Histopathology Study Comparing Contrastive Semi-Supervised and Fully Supervised Learning.
CoRR, 2021

NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation.
CoRR, 2021

2020
HistomicsML2.0: Fast interactive machine learning for whole slide imaging data.
CoRR, 2020

2019
Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization.
npj Digit. Medicine, 2019

Structured crowdsourcing enables convolutional segmentation of histology images.
Bioinform., 2019

Joint region and nucleus segmentation for characterization of tumor infiltrating lymphocytes in breast cancer.
Proceedings of the Medical Imaging 2019: Digital Pathology, 2019

An Ensemble-based Active Learning for Breast Cancer Classification.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
The OncoPPi Portal: an integrative resource to explore and prioritize protein-protein interactions for cancer target discovery.
Bioinform., 2018

Vectorized persistent homology representations for characterizing glandular architecture in histology images.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
Session Introduction.
Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017

2016
Quantitative Imaging and Imaging Informatics in the Era of Precision Medicine.
Proceedings of the AMIA 2016, 2016

2015
Scalable analysis of Big pathology image data cohorts using efficient methods and high-performance computing strategies.
BMC Bioinform., 2015

An interactive learning framework for scalable classification of pathology images.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

Spatiotemporal visualization of cell membrane dynamics and protein colocalization reveals correlation between membrane dynamics and metastatic invasion.
Proceedings of the 6th ACM Conference on Bioinformatics, 2015

2014
Region templates: Data representation and management for high-throughput image analysis.
Parallel Comput., 2014

Region Templates: Data Representation and Management for Large-Scale Image Analysis.
CoRR, 2014

Comparative Performance Analysis of Intel (R) Xeon Phi (TM), GPU, and CPU: A Case Study from Microscopy Image Analysis.
Proceedings of the 2014 IEEE 28th International Parallel and Distributed Processing Symposium, 2014

2013
Efficient irregular wavefront propagation algorithms on hybrid CPU-GPU machines.
Parallel Comput., 2013

Research and applications: Cancer Digital Slide Archive: an informatics resource to support integrated in silico analysis of TCGA pathology data.
J. Am. Medical Informatics Assoc., 2013

Feature-based analysis of large-scale spatio-temporal sensor data on hybrid architectures.
Int. J. High Perform. Comput. Appl., 2013

Comparative Performance Analysis of Intel Xeon Phi, GPU, and CPU.
CoRR, 2013

High-throughput Analysis of Large Microscopy Image Datasets on CPU-GPU Cluster Platforms.
Proceedings of the 27th IEEE International Symposium on Parallel and Distributed Processing, 2013

High-performance computational analysis of glioblastoma pathology images with database support identifies molecular and survival correlates.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2012
Digital Pathology: Data-Intensive Frontier in Medical Imaging.
Proc. IEEE, 2012

Integrated morphologic analysis for the identification and characterization of disease subtypes.
J. Am. Medical Informatics Assoc., 2012

High-throughput Execution of Hierarchical Analysis Pipelines on Hybrid Cluster Platforms
CoRR, 2012

Accelerating Large Scale Image Analyses on Parallel, CPU-GPU Equipped Systems.
Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium, 2012

ZPEG: A hybrid DPCM-DCT based approach for compression of Z-stack images.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

High Performance Computing for Integrative Analysis of Large Pathology Image Datasets.
Proceedings of the AMIA 2012, 2012

2011
Integrative, Multimodal Analysis of Glioblastoma Using TCGA Molecular Data, Pathology Images, and Clinical Outcomes.
IEEE Trans. Biomed. Eng., 2011

A new steerable pressure force for parametric deformable models.
Proceedings of the Medical Imaging 2011: Image Processing, 2011

A comprehensive framework for classification of nuclei in digital microscopy imaging: An application to diffuse gliomas.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Morphological signatures and genomic correlates in glioblastoma.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Parallel Automatic Registration of Large Scale Microscopic Images on Multiprocessor CPUs and GPUs.
Proceedings of the 25th IEEE International Symposium on Parallel and Distributed Processing, 2011

Acceleration of Two Point Correlation Function Calculation for Pathology Image Segmentation.
Proceedings of the 2011 IEEE International Conference on Healthcare Informatics, 2011

In silico analysis of nuclei in glioblastoma using large-scale microscopy images improves prediction of treatment response.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Towards building computerized image analysis framework for nucleus discrimination in microscopy images of diffuse glioma.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
An Integrative Approach for In Silico Glioma Research.
IEEE Trans. Biomed. Eng., 2010

High Performance Computing Techniques for Scaling Image Analysis Workflows.
Proceedings of the Applied Parallel and Scientific Computing, 2010

Texture based image recognition in microscopy images of diffuse gliomas with multi-class gentle boosting mechanism.
Proceedings of the IEEE International Conference on Acoustics, 2010

High-Performance Systems for in Silico Microscopy Imaging Studies.
Proceedings of the Data Integration in the Life Sciences, 7th International Conference, 2010

Two-point correlation as a feature for histology images: Feature space structure and correlation updating.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Non-rigid Registration for Large Sets of Microscopic Images on Graphics Processors.
J. Signal Process. Syst., 2009

Feature-based registration of histopathology images with different stains: An application for computerized follicular lymphoma prognosis.
Comput. Methods Programs Biomed., 2009

2008
Reconstruction of Cellular Biological Structures from Optical Microscopy Data.
IEEE Trans. Vis. Comput. Graph., 2008

An imaging workflow for characterizing phenotypical change in large histological mouse model datasets.
J. Biomed. Informatics, 2008

2006
Spatial Segmentation of Temporal Texture Using Mixture Linear Models.
Proceedings of the Dynamical Vision, ICCV 2005 and ECCV 2006 Workshops, 2006


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