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Philip A. Pappalardo
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All published works
Action
Title
Year
Authors
+
PDF
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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
+
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
Common Coauthors
Coauthor
Papers Together
Amira Etman
2
Anas M. Saad
2
Mohamed Amgad
2
Yahya Alagha
2
Ahmed M. Raslan
2
Maha AT Elsebaie
2
Mohamed Atef AlMoslemany
2
Ahmed Gadallah
2
Abdelmagid M. Elmatboly
2
Habiba Elfandy
2
Kareem Hosny Mohammed
2
Ahmad Rachid
2
Inas A. Ruhban
2
Ali Abdulkarim
2
Menatalla K. Nadim
2
Mai Alaaeldin Temraz Elsebaie
2
Ahmad Mahmoud Alkashash
2
Nada M. Elgazar
2
Lamees A Atteya
2
Hagar Hussein
2
Liza E. Hanna
2
Ahmed G. Elsaeed
2
Pooya Mobadersany
2
Rokia Sakr
2
Lee Cooper
2
Ehab Hafiz
2
Abo-Alela Farag
2
David Manthey
2
Ayad Ahmed Nour El Islam
2
Bradley Drumheller
2
Ahmed M. Alhusseiny
2
David L. Jaye
2
David A. Gutman
2
Yomna A. Amer
1
Yomna A. Amer
1
Anas Alrefai
1
Anas Alrefai
1
Mohamed A. Elkady
1
Mohamed Elkady
1
Commonly Cited References
Action
Title
Year
Authors
# of times referenced
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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
+
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
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
+
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
+
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
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
+
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
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
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
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
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