Lee Cooper

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All published works

Action	Title	Year	Authors
+ PDF Chat	Deep Learning for Fetal Inflammatory Response Diagnosis in the Umbilical Cord	2024	Marina Ayad Ramin Nateghi Abhishek Sharma Lawrence Chillrud Tilly Seesillapachai Lee Cooper Jeffrey A. Goldstein
+ PDF Chat	Machine learning identification of maternal inflammatory response and histologic choroamnionitis from placental membrane whole slide images	2024	Abhishek Sharma Ramin Nateghi Marina Ayad Lee Cooper Jeffrey A. Goldstein
+ PDF Chat	Novel Clinical-Grade Prostate Cancer Detection and Grading Model: Development and Prospective Validation Using Real World Data, with Performance Assessment on IHC Requested Cases	2024	Ramin Nateghi Ruoji Zhou Madeline Saft Marina Schnauss Clayton Neill Ridwan Alam Nicole Handa Mitchell M. Huang Eric V Li Jeffrey A. Goldstein
+ PDF Chat	BraTS-Path Challenge: Assessing Heterogeneous Histopathologic Brain Tumor Sub-regions	2024	Spyridon Bakas Siddhesh Thakur Shahriar Faghani Mana Moassefi Ujjwal Baid Verena Chung Sarthak Pati Shubham Innani Bhakti Baheti Jake Albrecht
+ PDF Chat	Focused Active Learning for Histopathological Image Classification	2024	Arne Schmidt Pablo Morales-Álvarez Lee Cooper Lee A. Newberg Daniel A. Enquobahrie Aggelos K. Katsaggelos Rafael Molina
+ PDF Chat	Focused active learning for histopathological image classification	2024	Arne Schmidt Pablo Morales-Álvarez Lee Cooper Lee A. Newberg Daniel A. Enquobahrie Rafael Molina Aggelos K. Katsaggelos
+ PDF Chat	NuCLS: A scalable crowdsourcing approach and dataset for nucleus classification and segmentation in breast cancer	2022	Mohamed Amgad Lamees A Atteya Hagar Hussein Kareem Hosny Mohammed Ehab Hafiz Maha AT Elsebaie Ahmed M. Alhusseiny Mohamed Atef AlMoslemany Abdelmagid M. Elmatboly Philip A. Pappalardo
+	MONAI: An open-source framework for deep learning in healthcare	2022	M. Jorge Cardoso Wenqi Li Richard Brown Nic Ma Eric Kerfoot Yiheng Wang Benjamin Murrey Andriy Myronenko Can Zhao Dong Yang
+	A Histopathology Study Comparing Contrastive Semi-Supervised and Fully Supervised Learning	2021	Lantian Zhang Mohamed Amgad Lee Cooper
+	NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation	2021	Mohamed Amgad Lamees A Atteya Hagar Hussein Kareem Hosny Mohammed Ehab Hafiz Maha AT Elsebaie Ahmed M. Alhusseiny Mohamed Atef AlMoslemany Abdelmagid M. Elmatboly Philip A. Pappalardo
+	HistomicsML2.0: Fast interactive machine learning for whole slide imaging data	2020	Sanghoon Lee Mohamed Amgad Deepak R. Chittajallu Matt McCormick Brian P. Pollack Habiba Elfandy Hagar Hussein David A. Gutman Lee Cooper
+	Learning clinical outcomes from heterogeneous genomic data sources	2019	Safoora Yousefi Amirreza Shaban Mohamed Amgad Ramraj Chandradevan Lee Cooper
+	Learning Clinical Outcomes from Heterogeneous Genomic Data Sources	2019	Safoora Yousefi Amirreza Shaban Mohamed Amgad Ramraj Chandradevan Lee Cooper
+	Learning Genomic Representations to Predict Clinical Outcomes in Cancer	2016	Safoora Yousefi Congzheng Song Nelson Nauata Lee Cooper
+	Region Templates: Data Representation and Management for Large-Scale Image Analysis	2014	George Teodoro Tony Pan Tahsin Kurç Jun Kong Lee Cooper Scott Klasky Joel Saltz
+	Comparative Performance Analysis of Intel Xeon Phi, GPU, and CPU	2013	George Teodoro Tahsin Kurç Jun Kong Lee Cooper Joel Saltz
+ PDF Chat	Efficient irregular wavefront propagation algorithms on hybrid CPU–GPU machines	2013	George Teodoro Tony Pan Tahsin Kurç Jun Kong Lee Cooper Joel Saltz
+	Efficient Irregular Wavefront Propagation Algorithms on Hybrid CPU-GPU Machines	2012	George Teodoro Tony Pan Tahsin Kurç Jun Kong Lee Cooper Joel Saltz
+	High-throughput Execution of Hierarchical Analysis Pipelines on Hybrid Cluster Platforms	2012	George Teodoro Tony Pan Tahsin Kurç Jun Kong Lee Cooper Joel Saltz

Common Coauthors

Coauthor	Papers Together
Mohamed Amgad	6
Jun Kong	5
Joel Saltz	5
George Teodoro	5
Tahsin Kurç	5
Tony Pan	4
David A. Gutman	3
Hagar Hussein	3
Jeffrey A. Goldstein	3
Habiba Elfandy	3
Ramin Nateghi	3
Menatalla K. Nadim	3
Safoora Yousefi	3
Kareem Hosny Mohammed	2
Nada M. Elgazar	2
Anas M. Saad	2
Abdelmagid M. Elmatboly	2
Abhishek Sharma	2
Daniel A. Enquobahrie	2
Ahmed Gadallah	2
David L. Jaye	2
Yahya Alagha	2
Bradley Drumheller	2
Mohamed Atef AlMoslemany	2
Pablo Morales-Álvarez	2
Ahmad Mahmoud Alkashash	2
Philip A. Pappalardo	2
Rafael Molina	2
Lamees A Atteya	2
Maha AT Elsebaie	2
Ayad Ahmed Nour El Islam	2
Arne Schmidt	2
David Manthey	2
Liza E. Hanna	2
Ehab Hafiz	2
Aggelos K. Katsaggelos	2
Inas A. Ruhban	2
Abo-Alela Farag	2
Pooya Mobadersany	2
Rokia Sakr	2
Ali Abdulkarim	2
Ahmed G. Elsaeed	2
Ramraj Chandradevan	2
Amira Etman	2
Mai Alaaeldin Temraz Elsebaie	2
Ahmed M. Alhusseiny	2
Amirreza Shaban	2
Lee A. Newberg	2
Ahmed M. Raslan	2
Marina Ayad	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Self-Path: Self-Supervision for Classification of Pathology Images With Limited Annotations	2021	Navid Alemi Koohbanani Balagopal Unnikrishnan Syed Ali Khurram Pavitra Krishnaswamy Nasir Rajpoot	2
+	<title>Digital Euclidean skeletons</title>	1990	Fernand Meyer	2
+ PDF Chat	Approximate similarity search for online multimedia services on distributed CPU–GPU platforms	2013	George Teodoro Eduardo Valle Nathan Mariano Ricardo da S. Torres Wagner Meira Joel Saltz	2
+ PDF Chat	Efficient irregular wavefront propagation algorithms on hybrid CPU–GPU machines	2013	George Teodoro Tony Pan Tahsin Kurç Jun Kong Lee Cooper Joel Saltz	2
+	High-throughput Execution of Hierarchical Analysis Pipelines on Hybrid Cluster Platforms	2012	George Teodoro Tony Pan Tahsin Kurç Jun Kong Lee Cooper Joel Saltz	2
+	On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other	1947	H. B. Mann Douglas R. Whitney	1
+	Measuring nominal scale agreement among many raters.	1971	Joseph L. Fleiss	1
+	Computing depth contours of bivariate point clouds	1996	Ida Ruts Peter J. Rousseeuw	1
+ PDF Chat	<i>L</i>1-Regularization Path Algorithm for Generalized Linear Models	2007	Mee Young Park Trevor Hastie	1
+	Some methods for classification and analysis of multivariate observations	1967	James B. MacQueen	1
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+ PDF Chat	Simultaneous Deep Transfer Across Domains and Tasks	2015	Eric Tzeng Judy Hoffman Trevor Darrell Kate Saenko	1
+ PDF Chat	Deep learning in bioinformatics	2016	Seonwoo Min Byunghan Lee Sungroh Yoon	1
+	Learning Genomic Representations to Predict Clinical Outcomes in Cancer	2016	Safoora Yousefi Congzheng Song Nelson Nauata Lee Cooper	1
+ PDF Chat	Simple Does It: Weakly Supervised Instance and Semantic Segmentation	2017	Anna Khoreva Rodrigo Benenson Jan Hosang Matthias Hein Bernt Schiele	1
+ PDF Chat	Crowdsourcing in Computer Vision	2016	Adriana Kovashka Olga Russakovsky Li Fei-Fei Kristen Grauman	1
+ PDF Chat	A survey on deep learning in medical image analysis	2017	Geert Litjens Thijs Kooi Babak Ehteshami Bejnordi Arnaud Arindra Adiyoso Setio Francesco Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken Clara I. Sá‎nchez	1
+ PDF Chat	Adversarial Discriminative Domain Adaptation	2017	Eric Tzeng Judy Hoffman Kate Saenko Trevor Darrell	1
+ PDF Chat	Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge	2019	Mitko Veta Yujing J. Heng Nikolas Stathonikos Babak Ehteshami Bejnordi Francisco Beça Thomas Wollmann Karl Rohr Manan Shah D. Wang Mikaël Rousson	1
+	The Relevance of Bayesian Layer Positioning to Model Uncertainty in Deep Bayesian Active Learning	2018	Jiaming Zeng Adam Lesnikowski Jose M. Álvarez	1
+	Decoupled Weight Decay Regularization	2017	Ilya Loshchilov Frank Hutter	1
+	Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images	2019	Faisal Mahmood Daniel Borders Richard J. Chen Gregory N. McKay Kevan J. Salimian Alexander S. Baras Nicholas J. Durr	1
+	Coupled Generative Adversarial Networks	2016	Ming-Yu Liu Oncel Tuzel	1
+	Unsupervised Domain Adaptation by Backpropagation	2014	Yaroslav Ganin Victor Lempitsky	1
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	1
+ PDF Chat	Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images	2019	Simon Graham Quoc Dang Vu Shan E Ahmed Raza Ayesha Azam Yee Wah Tsang Jin Tae Kwak Nasir Rajpoot	1
+	Fooling the Crowd with Deep Learning-based Methods	2019	Christian Marzahl Marc Aubreville Christof Bertram Stefan Gerlach Jennifer Maier Jörn Voigt Jenny Hill Robert Klopfleisch Andreas Maier	1
+ PDF Chat	Deep Learning for Whole Slide Image Analysis: An Overview	2019	Neofytos Dimitriou Ognjen Arandjelović Peter D. Caie	1
+	Large Batch Optimization for Deep Learning: Training BERT in 76 minutes	2019	Yang You Jing Li Sashank J. Reddi Jonathan Hseu Sanjiv Kumar Srinadh Bhojanapalli Xiaodan Song James Demmel Kurt Keutzer Cho‐Jui Hsieh	1
+ PDF Chat	Dataset of segmented nuclei in hematoxylin and eosin stained histopathology images of ten cancer types	2020	Le Hou Rajarsi Gupta John S. Van Arnam Yuwei Zhang Kaustubh Sivalenka Dimitris Samaras Tahsin Kurç Joel Saltz	1
+	Teacher-Student chain for efficient semi-supervised histology image classification	2020	Shayne Shaw Maciej Pajak Aneta Lisowska Sotirios A. Tsaftaris Alison Q. O’Neil	1
+	PanNuke Dataset Extension, Insights and Baselines	2020	Jevgenij Gamper Navid Alemi Koohbanani Simon Graham Mostafa Jahanifar Syed Ali Khurram Ayesha Azam Katherine Hewitt Nasir Rajpoot	1
+	Self-Supervised Visual Feature Learning With Deep Neural Networks: A Survey	2020	Longlong Jing Yingli Tian	1
+ PDF Chat	Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks	2018	David Tellez Maschenka Balkenhol Irene Otte‐Höller Rob van de Loo Rob Vogels Peter Bult Carla Wauters Willem Vreuls Suzanne Mol Nico Karssemeijer	1
+ PDF Chat	Random survival forests	2008	Hemant Ishwaran Udaya B. Kogalur Eugene H. Blackstone Michael S. Lauer	1
+	Big Self-Supervised Models are Strong Semi-Supervised Learners	2020	Ting Chen Simon Kornblith Kevin Swersky Mohammad Norouzi Geoffrey E. Hinton	1
+ PDF Chat	A Model of Inductive Bias Learning	2000	J. Baxter	1
+ PDF Chat	Learning Domain-Agnostic Visual Representation for Computational Pathology Using Medically-Irrelevant Style Transfer Augmentation	2021	Rikiya Yamashita Jin Long Snikitha Banda Jeanne Shen Daniel L. Rubin	1
+ PDF Chat	A Survey of Crowdsourcing in Medical Image Analysis	2020	Silas Nyboe Ørting Andrew Doyle Arno van Hilten Matthias Hirth Oana Inel Christopher R. Madan Panagiotis Mavridis Helen Spiers Veronika Cheplygina	1
+ PDF Chat	Semi-Supervised Active Learning with Temporal Output Discrepancy	2021	Siyu Huang Tianyang Wang Haoyi Xiong Jun Huan Dejing Dou	1
+ PDF Chat	Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification	2021	Simon Graham Mostafa Jahanifar Ayesha Azam Mohammed Nimir Yee‐Wah Tsang Katherine Dodd Emily Hero Harvir Sahota Atisha Tank Ksenija Benes	1
+	A Pathologist-Annotated Dataset for Validating Artificial Intelligence: A Project Description and Pilot Study	2021	Sarah Dudgeon Si Wen Matthew G. Hanna Rajarsi Gupta Mohamed Amgad Manasi Sheth Hetal D. Marble Richard Huang Markus D. Herrmann Clifford H. Szu	1
+ PDF Chat	Active label cleaning for improved dataset quality under resource constraints	2022	Mélanie Bernhardt Daniel C. Castro Ryutaro Tanno Anton Schwaighofer Kerem Can Tezcan Miguel Monteiro Shruthi Bannur Matthew P. Lungren Aditya Nori Ben Glocker	1
+ PDF Chat	NuCLS: A scalable crowdsourcing approach and dataset for nucleus classification and segmentation in breast cancer	2022	Mohamed Amgad Lamees A Atteya Hagar Hussein Kareem Hosny Mohammed Ehab Hafiz Maha AT Elsebaie Ahmed M. Alhusseiny Mohamed Atef AlMoslemany Abdelmagid M. Elmatboly Philip A. Pappalardo	1
+ PDF Chat	A Pragmatic Machine Learning Approach to Quantify Tumor-Infiltrating Lymphocytes in Whole Slide Images	2022	Nikita Shvetsov Morten Grønnesby Edvard Pedersen Kajsa Møllersen Lill‐Tove Busund Ruth Schwienbacher Lars Ailo Bongo Thomas K. Kilvaer	1
+ PDF Chat	Out of Distribution Data Detection Using Dropout Bayesian Neural Networks	2022	André T. Nguyen Fred Lu Gary Lopez Munoz Edward Raff Charles Nicholas James Holt	1
+ PDF Chat	Domain-Adversarial Training of Neural Networks	2017	Yaroslav Ganin Evgeniya Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette Mario Marchand Victor Lempitsky	1
+	Deep Deterministic Uncertainty: A Simple Baseline	2021	Jishnu Mukhoti Andreas Kirsch Joost van Amersfoort Philip H. S. Torr Yarin Gal	1
+ PDF Chat	Performance Evaluation of Sparse Matrix Multiplication Kernels on Intel Xeon Phi	2014	Érik Saule Kamer Kaya Ümit V. Çatalyürek	1
+	Comparative Performance Analysis of Intel Xeon Phi, GPU, and CPU	2013	George Teodoro Tahsin Kurç Jun Kong Lee Cooper Joel Saltz	1