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ORCIDLee A. D. Cooper
Lee Cooper 0001
Person information
- affiliation: Northwestern University, Feinberg School of Medicine, Chicago, IL, USA
- affiliation: Emory University, Department of Biomedical Informatics, Atlanta, GA, USA
- affiliation (PhD 2009): Ohio State University, Department of Biomedical Informatics, Columbus, OH, USA
Other persons with the same name
- Lee Cooper 0002 — University of Binningham, School of Manufacturing and Mechanical Engineering, UK
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Journal Articles
- 2025
[j21]Francisco Javier Sáez-Maldonado, Luz García, Lee A. D. Cooper, Jeffery A. Goldstein, Rafael Molina, Aggelos K. Katsaggelos:
Using Variational Autoencoders for Out of Distribution Detection in Histological Multiple Instance Learning. IEEE Access 13: 133351-133369 (2025)- 2024
- [j20]Miguel López-Pérez
, Pablo Morales-Álvarez, Lee A. D. Cooper, Christopher Felicelli, Jeffery A. 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, 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: 103162 (2024) - 2023
- [j18]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: 6922-6934 (2023) - 2022
- [j17]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): 513-519 (2022) - 2019
- [j16]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): 3461-3467 (2019) - [j15]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) - 2018
- [j14]Andrei A. Ivanov, Brian Revennaugh, Lauren Rusnak, Valentina Gonzalez-Pecchi, Xiulei Mo, Margaret A. Johns, Yuhong Du, Lee A. D. Cooper, Carlos Sanchez 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): 1183-1191 (2018) - 2015
- [j13]Tahsin M. Kurç, Xin Qi, Daihou Wang, Fusheng Wang, George Teodoro, Lee 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: 399:1-399:21 (2015) - 2014
- [j12]George Teodoro, Tony Pan, Tahsin M. Kurç, Jun Kong, Lee Cooper, Scott Klasky, Joel H. Saltz:
Region templates: Data representation and management for high-throughput image analysis. Parallel Comput. 40(10): 589-610 (2014) - 2013
- [j11]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): 263-272 (2013) - [j10]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): 1091-1098 (2013) - [j9]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): 189-211 (2013) - 2012
- [j8]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 Sanchez 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): 317-323 (2012) - [j7]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): 991-1003 (2012) - 2011
- [j6]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 Sanchez 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): 3469-3474 (2011) - 2010
- [j5]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 Sanchez Moreno, Daniel J. Brat, Joel H. Saltz:
An Integrative Approach for In Silico Glioma Research. IEEE Trans. Biomed. Eng. 57(10): 2617-2621 (2010) - 2009
- [j4]Lee 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, Manuel Ujaldon, Lee Cooper, Kun Huang:
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, Randall Ridgway, Richard Sharp, Lee 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): 863-873 (2008) - [j1]Kishore Mosaliganti, Lee 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)
Conference and Workshop Papers
- 2023
- [c27]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: 245-249 - [c26]Thomas E. Tavolara, M. Khalid Khan Niazi, David Jaye, Christopher Flowers, Lee Cooper, Metin N. Gurcan:
Deep learning to predict the proportion of positive cells in CMYC-stained tissue microarrays of diffuse large B-cell lymphoma. Digital and Computational Pathology 2023 - 2019
- [c25]Sanghoon Lee, Mohamed Amgad, Mohamed Masoud, Rajasekaran Subramanian, David A. Gutman, Lee Cooper:
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. Digital Pathology 2019: 109560M - 2018
- [c23]Deepak Roy Chittajallu, Neal Siekierski, Sanghoon Lee, Samuel Gerber, Jonathan D. Beezley, David Manthey, David A. Gutman, Lee Cooper:
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 Cooper, Jayashree Kalpathy-Cramer, William Hsu, Ashish Sharma:
Quantitative Imaging and Imaging Informatics in the Era of Precision Medicine. AMIA 2016 - 2015
- [c20]Yue Hou, Lee 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
- [c18]George Teodoro, Tahsin M. Kurç, Jun Kong, Lee 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 - 2013
- [c17]Jun Kong, Fusheng Wang, George Teodoro, Lee Cooper, Carlos Sanchez 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: 229-236 - [c16]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: 103-114 - 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 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: 5424-5427 - [c13]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: 1093-1104 - 2011
- [c12]Jun Kong, Lee Cooper, Carlos Sanchez 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: 87-90 - [c11]Jun Kong, Lee 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, Kun Huang:
Acceleration of Two Point Correlation Function Calculation for Pathology Image Segmentation. HISB 2011: 174-181 - [c9]Lee 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, Tahsin M. Kurç, Carlos Sanchez Moreno, Daniel J. Brat, Joel H. Saltz:
Morphological signatures and genomic correlates in glioblastoma. ISBI 2011: 1624-1627 - [c7]Jun Kong, Lee Cooper, Fusheng Wang, Candace Chisolm, Carlos Sanchez 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: 2128-2131 - [c6]Jun Kong, Lee Cooper, Ashish Sharma, Tahsin M. Kurç, Daniel J. Brat, Joel H. Saltz:
A new steerable pressure force for parametric deformable models. Image Processing 2011: 79623N - 2010
- [c5]Lee 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, Tahsin M. Kurç, Patrick M. Widener, Tony Pan, Jun Kong, Lee Cooper, David A. Gutman, Ashish Sharma, Sharath R. Cholleti, Vijay Kumar:
High-Performance Systems for in Silico Microscopy Imaging Studies. DILS 2010: 3-18 - [c3]Jun Kong, Lee 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, Tahsin M. Kurç, Wenjin Chen, Fusheng Wang, Lin Yang, Jun Hu, Vijay Kumar, Vicky Chu, Lee 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: 67-77 - 2006
- [c1]Lee Cooper, Jun Liu, Kun Huang:
Spatial Segmentation of Temporal Texture Using Mixture Linear Models. WDV 2006: 142-150
Editorship
- 2023
- [e4]Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita P. Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew W. Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami:
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, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita P. Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew W. Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami:
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] - 2021
- [e2]Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça:
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, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça:
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]
Informal and Other Publications
- 2024
- [i14]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) - [i13]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) - [i12]Ramin Nateghi, Ruoji Zhou, Madeline Saft, Marina Schnauss, Clayton Neill, Ridwan Alam, Nicole Handa, Mitchell Huang, Eric V. Li, Jeffery A. Goldstein, Edward M. Schaeffer, Menatalla K. Nadim, Fattaneh Pourakpour, Bogdan Isaila, Christopher Felicelli, Vikas Mehta, Behtash G. Nezami, Ashley Ross, Ximing Yang, Lee A. D. Cooper:
Novel Clinical-Grade Prostate Cancer Detection and Grading Model: Development and Prospective Validation Using Real World Data, with Performance Assessment on IHC Requested Cases. CoRR abs/2410.23642 (2024) - [i11]Abhishek Sharma, Ramin Nateghi, Marina Ayad, Lee A. D. Cooper, Jeffery A. Goldstein:
Machine learning identification of maternal inflammatory response and histologic choroamnionitis from placental membrane whole slide images. CoRR abs/2411.02354 (2024) - [i10]Marina A. Ayad, Ramin Nateghi, Abhishek Sharma, Lawrence Chillrud, Tilly Seesillapachai, Lee A. D. Cooper, Jeffery A. Goldstein:
Deep Learning for Fetal Inflammatory Response Diagnosis in the Umbilical Cord. CoRR abs/2411.09767 (2024) - 2022
- [i9]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, Sébastien Ourselin, Andrew Feng:
MONAI: An open-source framework for deep learning in healthcare. CoRR abs/2211.02701 (2022) - 2021
- [i8]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 abs/2102.09099 (2021) - [i7]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
- [i6]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) - 2016
- [i5]Safoora Yousefi, Congzheng Song, Nelson Nauata, Lee Cooper:
Learning Genomic Representations to Predict Clinical Outcomes in Cancer. CoRR abs/1609.08663 (2016) - 2014
- [i4]George Teodoro, Tony Pan, Tahsin M. Kurç, Jun Kong, Lee Cooper, Scott Klasky, Joel H. Saltz:
Region Templates: Data Representation and Management for Large-Scale Image Analysis. CoRR abs/1405.7958 (2014) - 2013
- [i3]George Teodoro, Tahsin M. Kurç, Jun Kong, Lee Cooper, Joel H. Saltz:
Comparative Performance Analysis of Intel Xeon Phi, GPU, and CPU. CoRR abs/1311.0378 (2013) - 2012
- [i2]George Teodoro, Tony Pan, Tahsin M. Kurç, Jun Kong, Lee 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)
Coauthor Index
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last updated on 2025-08-09 20:24 CEST by the dblp team
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