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Lee A. D. Cooper
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- affiliation: Emory University, Atlanta, GA, USA
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2020 – today
- 2024
- [j20]Miguel López-Pérez
, Pablo Morales-Álvarez, Lee A. D. Cooper, Christopher Felicelli, Jeffery Goldstein, Brian Vadasz, Rafael Molina, Aggelos K. Katsaggelos:
Learning from crowds for automated histopathological image segmentation. Comput. Medical Imaging Graph. 112: 102327 (2024) - [j19]Arne Schmidt
Focused active learning for histopathological image classification. Medical Image Anal. 95: 103162 (2024) - [i10]Arne Schmidt, Pablo Morales-Álvarez, Lee A. D. Cooper, Lee A. Newberg, Andinet Enquobahrie, Aggelos K. Katsaggelos, Rafael Molina:
Focused Active Learning for Histopathological Image Classification. CoRR abs/2404.04663 (2024) - [i9]Spyridon Bakas, Siddhesh P. Thakur, Shahriar Faghani, Mana Moassefi, Ujjwal Baid, Verena Chung, Sarthak Pati, Shubham Innani, Bhakti Baheti, Jake Albrecht, Alexandros Karargyris, Hasan Kassem, MacLean P. Nasrallah, Jared T. Ahrendsen, Valeria Barresi, Maria A. Gubbiotti, Giselle Y. López, Calixto-Hope G. Lucas, Michael L. Miller, Lee A. D. Cooper, Jason T. Huse, William R. Bell:
BraTS-Path Challenge: Assessing Heterogeneous Histopathologic Brain Tumor Sub-regions. CoRR abs/2405.10871 (2024) - 2023
- [j18]Miguel López-Pérez
Deep Gaussian Processes for Classification With Multiple Noisy Annotators. Application to Breast Cancer Tissue Classification. IEEE Access 11: 6922-6934 (2023) - [c26]Miguel López-Pérez
Crowdsourcing Segmentation of Histopathological Images Using Annotations Provided by Medical Students. AIME 2023: 245-249 - [e4]Irena Koprinska
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part I. Communications in Computer and Information Science 1752, Springer 2023, ISBN 978-3-031-23617-4 [contents] - [e3]Irena Koprinska
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part II. Communications in Computer and Information Science 1753, Springer 2023, ISBN 978-3-031-23632-7 [contents] - 2022
- [j17]Mohamed Amgad
Explainable nucleus classification using Decision Tree Approximation of Learned Embeddings. Bioinform. 38(2): 513-519 (2022) - [i8]M. Jorge Cardoso, Wenqi Li, Richard Brown, Nic Ma, Eric Kerfoot, Yiheng Wang, Benjamin Murray, Andriy Myronenko
MONAI: An open-source framework for deep learning in healthcare. CoRR abs/2211.02701 (2022) - 2021
- [e2]Michael Kamp
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I. Communications in Computer and Information Science 1524, Springer 2021, ISBN 978-3-030-93735-5 [contents] - [e1]Michael Kamp
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II. Communications in Computer and Information Science 1525, Springer 2021, ISBN 978-3-030-93732-4 [contents] - [i7]Mohamed Amgad, Lamees A. Atteya, Hagar Hussein, Kareem Hosny Mohammed, Ehab Hafiz, Maha A. T. Elsebaie, Ahmed M. Alhusseiny, Mohamed Atef AlMoslemany, Abdelmagid M. Elmatboly, Philip A. Pappalardo, Rokia Adel Sakr, Pooya Mobadersany, Ahmad Rachid, Anas M. Saad, Ahmad M. Alkashash, Inas A. Ruhban, Anas Alrefai, Nada M. Elgazar, Ali Abdulkarim, Abo-Alela Farag, Amira Etman, Ahmed G. Elsaeed, Yahya Alagha, Yomna A. Amer, Ahmed M. Raslan, Menatalla K. Nadim
NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation. CoRR abs/2102.09099 (2021) - [i6]Lantian Zhang, Mohamed Amgad, Lee A. D. Cooper:
A Histopathology Study Comparing Contrastive Semi-Supervised and Fully Supervised Learning. CoRR abs/2111.05882 (2021) - 2020
- [i5]Sanghoon Lee, Mohamed Amgad, Deepak Roy Chittajallu, Matt McCormick, Brian P. Pollack, Habiba Elfandy, Hagar Hussein, David A. Gutman, Lee A. D. Cooper:
HistomicsML2.0: Fast interactive machine learning for whole slide imaging data. CoRR abs/2001.11547 (2020)
2010 – 2019
- 2019
- [j16]Mohamed Amgad
Structured crowdsourcing enables convolutional segmentation of histology images. Bioinform. 35(18): 3461-3467 (2019) - [j15]Pegah Khosravi
Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization. npj Digit. Medicine 2 (2019) - [c25]Sanghoon Lee
An Ensemble-based Active Learning for Breast Cancer Classification. BIBM 2019: 2549-2553 - [c24]Mohamed Amgad, Anindya Sarkar, Chukka Srinivas, Rachel Redman, Simrath Ratra, Charles J. Bechert, Benjamin C. Calhoun, Karen Mrazeck, Uday Kurkure, Lee A. D. Cooper, Michael Barnes:
Joint region and nucleus segmentation for characterization of tumor infiltrating lymphocytes in breast cancer. Medical Imaging: Digital Pathology 2019: 109560M - 2018
- [j14]Andrei A. Ivanov
The OncoPPi Portal: an integrative resource to explore and prioritize protein-protein interactions for cancer target discovery. Bioinform. 34(7): 1183-1191 (2018) - [c23]Deepak Roy Chittajallu, Neal Siekierski, Sanghoon Lee
Vectorized persistent homology representations for characterizing glandular architecture in histology images. ISBI 2018: 232-235 - 2017
- [c22]Li Shen, Lee A. D. Cooper:
Session Introduction. PSB 2017: 51-57 - 2016
- [c21]Lee A. D. Cooper, Jayashree Kalpathy-Cramer, William Hsu, Ashish Sharma:
Quantitative Imaging and Imaging Informatics in the Era of Precision Medicine. AMIA 2016 - 2015
- [j13]Tahsin M. Kurç, Xin Qi, Daihou Wang, Fusheng Wang
Scalable analysis of Big pathology image data cohorts using efficient methods and high-performance computing strategies. BMC Bioinform. 16: 399:1-399:21 (2015) - [c20]Yue Hou, Lee A. D. Cooper, Scott Wilkinson, Adam I. Marcus, Daniel J. Brat:
Spatiotemporal visualization of cell membrane dynamics and protein colocalization reveals correlation between membrane dynamics and metastatic invasion. BCB 2015: 476-477 - [c19]Michael Nalisnik, David A. Gutman, Jun Kong, Lee A. D. Cooper:
An interactive learning framework for scalable classification of pathology images. IEEE BigData 2015: 928-935 - 2014
- [j12]George Teodoro, Tony Pan
Region templates: Data representation and management for high-throughput image analysis. Parallel Comput. 40(10): 589-610 (2014) - [c18]George Teodoro, Tahsin M. Kurç, Jun Kong, Lee A. D. Cooper, Joel H. Saltz:
Comparative Performance Analysis of Intel (R) Xeon Phi (TM), GPU, and CPU: A Case Study from Microscopy Image Analysis. IPDPS 2014: 1063-1072 - [i4]George Teodoro, Tony Pan, Tahsin M. Kurç, Jun Kong, Lee A. D. Cooper, Scott Klasky, Joel H. Saltz:
Region Templates: Data Representation and Management for Large-Scale Image Analysis. CoRR abs/1405.7958 (2014) - 2013
- [j11]Joel H. Saltz, George Teodoro, Tony Pan
Feature-based analysis of large-scale spatio-temporal sensor data on hybrid architectures. Int. J. High Perform. Comput. Appl. 27(3): 263-272 (2013) - [j10]David A. Gutman, Jake Cobb, Dhananjaya Somanna, Yuna Park, Fusheng Wang
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. 20(6): 1091-1098 (2013) - [j9]George Teodoro, Tony Pan
Efficient irregular wavefront propagation algorithms on hybrid CPU-GPU machines. Parallel Comput. 39(4-5): 189-211 (2013) - [c17]Jun Kong, Fusheng Wang
High-performance computational analysis of glioblastoma pathology images with database support identifies molecular and survival correlates. BIBM 2013: 229-236 - [c16]George Teodoro, Tony Pan
High-throughput Analysis of Large Microscopy Image Datasets on CPU-GPU Cluster Platforms. IPDPS 2013: 103-114 - [i3]George Teodoro, Tahsin M. Kurç, Jun Kong, Lee A. D. Cooper, Joel H. Saltz:
Comparative Performance Analysis of Intel Xeon Phi, GPU, and CPU. CoRR abs/1311.0378 (2013) - 2012
- [j8]Lee A. D. Cooper, Jun Kong, David A. Gutman, Fusheng Wang
Integrated morphologic analysis for the identification and characterization of disease subtypes. J. Am. Medical Informatics Assoc. 19(2): 317-323 (2012) - [j7]Lee A. D. Cooper, Alexis B. Carter
Digital Pathology: Data-Intensive Frontier in Medical Imaging. Proc. IEEE 100(4): 991-1003 (2012) - [c15]Tahsin M. Kurç, Joel H. Saltz, George Teodoro, Tony Pan, Lee A. D. Cooper, Jun Kong, David A. Gutman, Daniel J. Brat, Fusheng Wang:
High Performance Computing for Integrative Analysis of Large Pathology Image Datasets. AMIA 2012 - [c14]Sourabh Khire, Lee A. D. Cooper, Yuna Park, Alexis B. Carter
ZPEG: A hybrid DPCM-DCT based approach for compression of Z-stack images. EMBC 2012: 5424-5427 - [c13]George Teodoro, Tahsin M. Kurç, Tony Pan
Accelerating Large Scale Image Analyses on Parallel, CPU-GPU Equipped Systems. IPDPS 2012: 1093-1104 - [i2]George Teodoro, Tony Pan, Tahsin M. Kurç, Jun Kong, Lee A. D. Cooper, Joel H. Saltz:
Efficient Irregular Wavefront Propagation Algorithms on Hybrid CPU-GPU Machines. CoRR abs/1209.3314 (2012) - [i1]George Teodoro, Tony Pan, Tahsin M. Kurç, Jun Kong, Lee A. D. Cooper, Joel H. Saltz:
High-throughput Execution of Hierarchical Analysis Pipelines on Hybrid Cluster Platforms. CoRR abs/1209.3332 (2012) - 2011
- [j6]Jun Kong, Lee A. D. Cooper, Fusheng Wang
Integrative, Multimodal Analysis of Glioblastoma Using TCGA Molecular Data, Pathology Images, and Clinical Outcomes. IEEE Trans. Biomed. Eng. 58(12): 3469-3474 (2011) - [c12]Jun Kong, Lee A. D. Cooper, Carlos Sanchez Moreno
In silico analysis of nuclei in glioblastoma using large-scale microscopy images improves prediction of treatment response. EMBC 2011: 87-90 - [c11]Jun Kong, Lee A. D. Cooper, Tahsin M. Kurç, Daniel J. Brat, Joel H. Saltz:
Towards building computerized image analysis framework for nucleus discrimination in microscopy images of diffuse glioma. EMBC 2011: 6605-6608 - [c10]Lee A. D. Cooper, Joel H. Saltz, Ümit V. Çatalyürek
Acceleration of Two Point Correlation Function Calculation for Pathology Image Segmentation. HISB 2011: 174-181 - [c9]Lee A. D. Cooper, Kun Huang, Manuel Ujaldon
Parallel Automatic Registration of Large Scale Microscopic Images on Multiprocessor CPUs and GPUs. IPDPS Workshops 2011: 1367-1376 - [c8]Lee A. D. Cooper, Jun Kong, Fusheng Wang
Morphological signatures and genomic correlates in glioblastoma. ISBI 2011: 1624-1627 - [c7]Jun Kong, Lee A. D. Cooper, Fusheng Wang
A comprehensive framework for classification of nuclei in digital microscopy imaging: An application to diffuse gliomas. ISBI 2011: 2128-2131 - [c6]Jun Kong, Lee A. D. Cooper, Ashish Sharma, Tahsin M. Kurç, Daniel J. Brat, Joel H. Saltz:
A new steerable pressure force for parametric deformable models. Medical Imaging: Image Processing 2011: 79623N - 2010
- [j5]Lee A. D. Cooper, Jun Kong, David A. Gutman, Fusheng Wang
An Integrative Approach for In Silico Glioma Research. IEEE Trans. Biomed. Eng. 57(10): 2617-2621 (2010) - [c5]Lee A. D. Cooper, Joel H. Saltz, Raghu Machiraju, Kun Huang:
Two-point correlation as a feature for histology images: Feature space structure and correlation updating. CVPR Workshops 2010: 79-86 - [c4]Fusheng Wang
High-Performance Systems for in Silico Microscopy Imaging Studies. DILS 2010: 3-18 - [c3]Jun Kong, Lee A. D. Cooper, Ashish Sharma, Tahsin M. Kurç, Daniel J. Brat, Joel H. Saltz:
Texture based image recognition in microscopy images of diffuse gliomas with multi-class gentle boosting mechanism. ICASSP 2010: 457-460 - [c2]Patrick M. Widener
High Performance Computing Techniques for Scaling Image Analysis Workflows. PARA (2) 2010: 67-77
2000 – 2009
- 2009
- [j4]Lee A. D. Cooper, Olcay Sertel, Jun Kong, Gerard Lozanski, Kun Huang, Metin N. Gurcan
Feature-based registration of histopathology images with different stains: An application for computerized follicular lymphoma prognosis. Comput. Methods Programs Biomed. 96(3): 182-192 (2009) - [j3]Antonio Ruiz
Non-rigid Registration for Large Sets of Microscopic Images on Graphics Processors. J. Signal Process. Syst. 55(1-3): 229-250 (2009) - 2008
- [j2]Kishore Mosaliganti, Tony Pan
An imaging workflow for characterizing phenotypical change in large histological mouse model datasets. J. Biomed. Informatics 41(6): 863-873 (2008) - [j1]Kishore Mosaliganti, Lee A. D. Cooper, Richard Sharp, Raghu Machiraju, Gustavo Leone, Kun Huang, Joel H. Saltz:
Reconstruction of Cellular Biological Structures from Optical Microscopy Data. IEEE Trans. Vis. Comput. Graph. 14(4): 863-876 (2008) - 2006
- [c1]Lee A. D. Cooper, Jun Liu
Spatial Segmentation of Temporal Texture Using Mixture Linear Models. WDV 2006: 142-150
Coauthor Index
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last updated on 2024-10-13 18:00 CEST by the dblp team
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