Lee A. D. Cooper

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 19

Top Topics

Gaussian Process

Top Venues

Publications

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 (2024)
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 (2024)
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 (2024)
Arne Schmidt, Pablo Morales-Álvarez, Lee A. D. Cooper, Lee A. Newberg, Andinet Enquobahrie, Rafael Molina, Aggelos K. Katsaggelos
Focused active learning for histopathological image classification. Medical Image Anal. 95 (2024)
Miguel López-Pérez, Pablo Morales-Álvarez, Lee A. D. Cooper, Rafael Molina, Aggelos K. Katsaggelos
Deep Gaussian Processes for Classification With Multiple Noisy Annotators. Application to Breast Cancer Tissue Classification. IEEE Access 11 (2023)
Miguel López-Pérez, Pablo Morales-Álvarez, Lee A. D. Cooper, Rafael Molina, Aggelos K. Katsaggelos
Crowdsourcing Segmentation of Histopathological Images Using Annotations Provided by Medical Students. AIME (2023)
M. Jorge Cardoso, Wenqi Li, Richard Brown, Nic Ma, Eric Kerfoot, Yiheng Wang, Benjamin Murray, Andriy Myronenko, Can Zhao, Dong Yang, Vishwesh Nath, Yufan He, Ziyue Xu, Ali Hatamizadeh, Wentao Zhu, Yun Liu, Mingxin Zheng, Yucheng Tang, Isaac Yang, Michael Zephyr, Behrooz Hashemian, Sachidanand Alle, Mohammad Zalbagi Darestani, Charlie Budd, Marc Modat, Tom Vercauteren, Guotai Wang, Yiwen Li, Yipeng Hu, Yunguan Fu, Benjamin Gorman, Hans J. Johnson, Brad W. Genereaux, Barbaros S. Erdal, Vikash Gupta, Andres Diaz-Pinto, Andre Dourson, Lena Maier-Hein, Paul F. Jaeger, Michael Baumgartner, Jayashree Kalpathy-Cramer, Mona Flores, Justin S. Kirby, Lee A. D. Cooper, Holger R. Roth, Daguang Xu, David Bericat, Ralf Floca, S. Kevin Zhou, Haris Shuaib, Keyvan Farahani, Klaus H. Maier-Hein, Stephen R. Aylward, Prerna Dogra, Sebastien Ourselin, Andrew Feng
MONAI: An open-source framework for deep learning in healthcare. CoRR (2022)
Mohamed Amgad, Lamees A. Atteya, Hagar Hussein, Kareem Hosny Mohammed, Ehab Hafiz, Maha A. T. Elsebaie, Pooya Mobadersany, David Manthey, David A. Gutman, Habiba Elfandy, Lee A. D. Cooper
Explainable nucleus classification using Decision Tree Approximation of Learned Embeddings. Bioinform. 38 (2) (2022)
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, Mai A. T. Elsebaie, Ahmed Ayad, Liza E. Hanna, Ahmed M. Gadallah, Mohamed Elkady, Bradley Drumheller, David Jaye, David Manthey, David A. Gutman, Habiba Elfandy, Lee A. D. Cooper
NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation. CoRR (2021)
Lantian Zhang, Mohamed Amgad, Lee A. D. Cooper
A Histopathology Study Comparing Contrastive Semi-Supervised and Fully Supervised Learning. CoRR (2021)
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 (2020)
Sanghoon Lee, Mohamed Amgad, Mohamed Masoud, Rajasekaran Subramanian, David A. Gutman, Lee A. D. Cooper
An Ensemble-based Active Learning for Breast Cancer Classification. BIBM (2019)
Pegah Khosravi, Ehsan Kazemi, Qiansheng Zhan, Jonas Malmsten, Marco Toschi, Pantelis Zisimopoulos, Alexandros Sigaras, Stuart Lavery, Lee A. D. Cooper, Cristina Hickman, Marcos Meseguer, Zev Rosenwaks, Olivier Elemento, Nikica Zaninovic, Iman Hajirasouliha
Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization. npj Digit. Medicine 2 (2019)
Mohamed Amgad, Habiba Elfandy, Hagar Hussein, Lamees A. Atteya, Mai A. T. Elsebaie, Lamia S. Abo Elnasr, Rokia Adel Sakr, Hazem S. E. Salem, Ahmed F. Ismail, Anas M. Saad, Joumana Ahmed, Maha A. T. Elsebaie, Mustafijur Rahman, Inas A. Ruhban, Nada M. Elgazar, Yahya Alagha, Mohamed H. Osman, Ahmed M. Alhusseiny, Mariam M. Khalaf, Abo-Alela F. Younes, Ali Abdulkarim, Duaa M. Younes, Ahmed M. Gadallah, Ahmad M. Elkashash, Salma Y. Fala, Basma M. Zaki, Jonathan D. Beezley, Deepak Roy Chittajallu, David Manthey, David A. Gutman, Lee A. D. Cooper
Structured crowdsourcing enables convolutional segmentation of histology images. Bioinform. 35 (18) (2019)
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)
Andrei A. Ivanov, Brian Revennaugh, Lauren Rusnak, Valentina Gonzalez-Pecchi, Xiulei Mo, Margaret A. Johns, Yuhong Du, Lee A. D. Cooper, Carlos S. Moreno, Fadlo R. Khuri, Haian Fu
The OncoPPi Portal: an integrative resource to explore and prioritize protein-protein interactions for cancer target discovery. Bioinform. 34 (7) (2018)
Deepak Roy Chittajallu, Neal Siekierski, Sanghoon Lee, Samuel Gerber, Jonathan D. Beezley, David Manthey, David A. Gutman, Lee A. D. Cooper
Vectorized persistent homology representations for characterizing glandular architecture in histology images. ISBI (2018)
Li Shen, Lee A. D. Cooper
Session Introduction. PSB (2017)
Lee A. D. Cooper, Jayashree Kalpathy-Cramer, William Hsu, Ashish Sharma
Quantitative Imaging and Imaging Informatics in the Era of Precision Medicine. AMIA (2016)
Michael Nalisnik, David A. Gutman, Jun Kong, Lee A. D. Cooper
An interactive learning framework for scalable classification of pathology images. IEEE BigData (2015)
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)
Tahsin M. Kurç, Xin Qi, Daihou Wang, Fusheng Wang, George Teodoro, Lee A. D. Cooper, Michael Nalisnik, Lin Yang, Joel H. Saltz, David J. Foran
Scalable analysis of Big pathology image data cohorts using efficient methods and high-performance computing strategies. BMC Bioinform. 16 (2015)
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 (2014)
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 high-throughput image analysis. Parallel Comput. 40 (10) (2014)
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)
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 (2013)
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. Parallel Comput. 39 (4-5) (2013)
George Teodoro, Tony Pan, Tahsin M. Kurç, Jun Kong, Lee A. D. Cooper, Norbert Podhorszki, Scott Klasky, Joel H. Saltz
High-throughput Analysis of Large Microscopy Image Datasets on CPU-GPU Cluster Platforms. IPDPS (2013)
David A. Gutman, Jake Cobb, Dhananjaya Somanna, Yuna Park, Fusheng Wang, Tahsin M. Kurç, Joel H. Saltz, Daniel J. Brat, Lee A. D. Cooper
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) (2013)
Joel H. Saltz, George Teodoro, Tony Pan, Lee A. D. Cooper, Jun Kong, Scott Klasky, Tahsin M. Kurç
Feature-based analysis of large-scale spatio-temporal sensor data on hybrid architectures. Int. J. High Perform. Comput. Appl. 27 (3) (2013)
Jun Kong, Fusheng Wang, George Teodoro, Lee A. D. Cooper, Carlos S. Moreno, Tahsin M. Kurç, Tony Pan, Joel H. Saltz, Daniel J. Brat
High-performance computational analysis of glioblastoma pathology images with database support identifies molecular and survival correlates. BIBM (2013)
Lee A. D. Cooper, Jun Kong, David A. Gutman, Fusheng Wang, Jingjing Gao, Christina Appin, Sharath R. Cholleti, Tony Pan, Ashish Sharma, Lisa Scarpace, Tom Mikkelsen, Tahsin M. Kurç, Carlos S. Moreno, Daniel J. Brat, Joel H. Saltz
Integrated morphologic analysis for the identification and characterization of disease subtypes. J. Am. Medical Informatics Assoc. 19 (2) (2012)
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)
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 (2012)
Sourabh Khire, Lee A. D. Cooper, Yuna Park, Alexis B. Carter, Nikil Jayant, Joel H. Saltz
ZPEG: A hybrid DPCM-DCT based approach for compression of Z-stack images. EMBC (2012)
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 (2012)
George Teodoro, Tahsin M. Kurç, Tony Pan, Lee A. D. Cooper, Jun Kong, Patrick M. Widener, Joel H. Saltz
Accelerating Large Scale Image Analyses on Parallel, CPU-GPU Equipped Systems. IPDPS (2012)
Lee A. D. Cooper, Alexis B. Carter, Alton B. Farris, Fusheng Wang, Jun Kong, David A. Gutman, Patrick M. Widener, Tony C. Pan, Sharath R. Cholleti, Ashish Sharma, Tahsin M. Kurç, Daniel J. Brat, Joel H. Saltz
Digital Pathology: Data-Intensive Frontier in Medical Imaging. Proc. IEEE 100 (4) (2012)
Jun Kong, Lee A. D. Cooper, Fusheng Wang, David A. Gutman, Jingjing Gao, Candace Chisolm, Ashish Sharma, Tony Pan, Erwin G. Van Meir, Tahsin M. Kurç, Carlos S. Moreno, Joel H. Saltz, Daniel J. Brat
Integrative, Multimodal Analysis of Glioblastoma Using TCGA Molecular Data, Pathology Images, and Clinical Outcomes. IEEE Trans. Biomed. Eng. 58 (12) (2011)
Lee A. D. Cooper, Kun Huang, Manuel Ujaldon
Parallel Automatic Registration of Large Scale Microscopic Images on Multiprocessor CPUs and GPUs. IPDPS Workshops (2011)
Lee A. D. Cooper, Jun Kong, Fusheng Wang, Tahsin M. Kurç, Carlos S. Moreno, Daniel J. Brat, Joel H. Saltz
Morphological signatures and genomic correlates in glioblastoma. ISBI (2011)
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)
Lee A. D. Cooper, Joel H. Saltz, Ümit V. Çatalyürek, Kun Huang
Acceleration of Two Point Correlation Function Calculation for Pathology Image Segmentation. HISB (2011)
Jun Kong, Lee A. D. Cooper, Carlos S. Moreno, Fusheng Wang, Tahsin M. Kurç, Joel H. Saltz, Daniel J. Brat
In silico analysis of nuclei in glioblastoma using large-scale microscopy images improves prediction of treatment response. EMBC (2011)
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)
Jun Kong, Lee A. D. Cooper, Fusheng Wang, Candace Chisolm, Carlos S. Moreno, Tahsin M. Kurç, Patrick M. Widener, Daniel J. Brat, Joel H. Saltz
A comprehensive framework for classification of nuclei in digital microscopy imaging: An application to diffuse gliomas. ISBI (2011)
Patrick M. Widener, Tahsin M. Kurç, Wenjin Chen, Fusheng Wang, Lin Yang, Jun Hu, Vijay Kumar, Vicky Chu, Lee A. D. Cooper, Jun Kong, Ashish Sharma, Tony Pan, Joel H. Saltz, David J. Foran
High Performance Computing Techniques for Scaling Image Analysis Workflows. PARA (2) (2010)
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)
Lee A. D. Cooper, Jun Kong, David A. Gutman, Fusheng Wang, Sharath R. Cholleti, Tony C. Pan, Patrick M. Widener, Ashish Sharma, Tom Mikkelsen, Adam E. Flanders, Daniel L. Rubin, Erwin G. Van Meir, Tahsin M. Kurç, Carlos S. Moreno, Daniel J. Brat, Joel H. Saltz
An Integrative Approach for In Silico Glioma Research. IEEE Trans. Biomed. Eng. 57 (10) (2010)
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)
Fusheng Wang, Tahsin M. Kurç, Patrick M. Widener, Tony Pan, Jun Kong, Lee A. D. Cooper, David A. Gutman, Ashish Sharma, Sharath R. Cholleti, Vijay Kumar
High-Performance Systems for in Silico Microscopy Imaging Studies. DILS (2010)
Antonio Ruiz, Manuel Ujaldon, Lee A. D. Cooper, Kun Huang
Non-rigid Registration for Large Sets of Microscopic Images on Graphics Processors. J. Signal Process. Syst. 55 (1-3) (2009)
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) (2009)
Kishore Mosaliganti, Tony Pan, Randall Ridgway, Richard Sharp, Lee A. D. Cooper, Alex Gulacy, Ashish Sharma, M. Okan Irfanoglu, Raghu Machiraju, Tahsin M. Kurç, Alain de Bruin, Pamela Wenzel, Gustavo Leone, Joel H. Saltz, Kun Huang
An imaging workflow for characterizing phenotypical change in large histological mouse model datasets. J. Biomed. Informatics 41 (6) (2008)
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) (2008)
Lee A. D. Cooper, Jun Liu, Kun Huang
Spatial Segmentation of Temporal Texture Using Mixture Linear Models. WDV (2006)