Jason Hipp

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All published works
Action Title Year Authors
+ Learning to Predict RNA Sequence Expressions from Whole Slide Images with Applications for Search and Classification 2022 Amir Safarpoor
Jason Hipp
H. R. Tizhoosh
+ PDF Chat An augmented reality microscope with real-time artificial intelligence integration for cancer diagnosis 2019 Po-Hsuan Cameron Chen
Krishna Gadepalli
Robert MacDonald
Yun Liu
Shiro Kadowaki
Kunal Nagpal
Timo Kohlberger
Jay B. Dean
Greg S. Corrado
Jason Hipp
+ PDF Chat Similar image search for histopathology: SMILY 2019 Narayan Hegde
Jason Hipp
Yun Liu
Michael R. Emmert‐Buck
Emily Reif
Daniel Smilkov
Michael Terry
Carrie J. Cai
Mahul B. Amin
Craig H. Mermel
+ PDF Chat Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer 2019 Kunal Nagpal
Davis Foote
Yun Liu
Po-Hsuan Cameron Chen
Ellery Wulczyn
Fraser Elisabeth Tan
Niels Olson
Jenny L. Smith
Arash Mohtashamian
James H. Wren
+ Human-Centered Tools for Coping with Imperfect Algorithms During Medical Decision-Making 2019 Carrie J. Cai
Emily Reif
Narayan Hegde
Jason Hipp
Been Kim
Daniel Smilkov
Martin Wattenberg
Fernanda Viégas
Greg S. Corrado
Martin C. Stumpe
+ Human-Centered Tools for Coping with Imperfect Algorithms during Medical Decision-Making 2019 Carrie J. Cai
Emily Reif
Narayan Hegde
Jason Hipp
Been Kim
Daniel Smilkov
Martin Wattenberg
Fernanda Viégas
Greg S. Corrado
Martin C. Stumpe
+ Whole-Slide Image Focus Quality: Automatic Assessment and Impact on AI Cancer Detection 2019 Timo Kohlberger
Yun Liu
Melissa Moran
Po-Hsuan Cameron Chen
Trissia Brown
Jason Hipp
Craig H. Mermel
Martin C. Stumpe
+ Human-Centered Tools for Coping with Imperfect Algorithms during Medical Decision-Making 2019 Carrie J. Cai
Emily Reif
Narayan Hegde
Jason Hipp
Been Kim
Daniel Smilkov
Martin Wattenberg
Fernanda Viégas
Greg S. Corrado
Martin C. Stumpe
+ Detecting Cancer Metastases on Gigapixel Pathology Images 2017 Yun Liu
Krishna Gadepalli
Mohammad Norouzi
George E. Dahl
Timo Kohlberger
Subhashini Venugopalan
Aleksey S Boyko
Aleksei Timofeev
Philip Q. Nelson
G. Corrado
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Rethinking the Inception Architecture for Computer Vision 2016 Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jon Shlens
Zbigniew Wojna
4
+ PDF Chat Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer 2019 Kunal Nagpal
Davis Foote
Yun Liu
Po-Hsuan Cameron Chen
Ellery Wulczyn
Fraser Elisabeth Tan
Niels Olson
Jenny L. Smith
Arash Mohtashamian
James H. Wren
3
+ Detecting Cancer Metastases on Gigapixel Pathology Images 2017 Yun Liu
Krishna Gadepalli
Mohammad Norouzi
George E. Dahl
Timo Kohlberger
Subhashini Venugopalan
Aleksey S Boyko
Aleksei Timofeev
Philip Q. Nelson
G. Corrado
2
+ PDF Chat An augmented reality microscope with real-time artificial intelligence integration for cancer diagnosis 2019 Po-Hsuan Cameron Chen
Krishna Gadepalli
Robert MacDonald
Yun Liu
Shiro Kadowaki
Kunal Nagpal
Timo Kohlberger
Jay B. Dean
Greg S. Corrado
Jason Hipp
2
+ PDF Chat From generic to specific deep representations for visual recognition 2015 Hossein Azizpour
Ali Sharif Razavian
Josephine Sullivan
Atsuto Maki
Stefan Carlsson
2
+ PDF Chat CNN Features Off-the-Shelf: An Astounding Baseline for Recognition 2014 Ali Sharif Razavian
Hossein Azizpour
Josephine Sullivan
Stefan Carlsson
1
+ PDF Chat Going deeper with convolutions 2015 Christian Szegedy
Wei Liu
Yangqing Jia
Pierre Sermanet
Scott Reed
Dragomir Anguelov
Dumitru Erhan
Vincent Vanhoucke
Andrew Rabinovich
1
+ PDF Chat Assessment of algorithms for mitosis detection in breast cancer histopathology images 2014 Mitko Veta
P. J. van Diest
Stefan M. Willems
Haibo Wang
Anant Madabhushi
Ángel Cruz-Roa
Fabio A. González
Anders Larsen
Jacob S. Vestergaard
Anders Bjorholm Dahl
1
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
1
+ Fully Convolutional Networks for Semantic Segmentation 2016 Evan Shelhamer
Jonathan Long
Trevor Darrell
1
+ Deep Learning for Identifying Metastatic Breast Cancer 2016 D. Wang
Aditya Khosla
Rishab Gargeya
Humayun Irshad
Andrew H. Beck
1
+ CRC Standard Probability and Statistics Tables and Formulae, Student Edition 2000 Stephen Kokoska
Daniel Zwillinger
1
+ Deep Convolutional Neural Networks for Microscopy-Based Point of Care Diagnostics 2016 John A. Quinn
Rose Nakasi
Pius K. B. Mugagga
Patrick Byanyima
William Lubega
Alfred Andama
1
+ PDF Chat Xception: Deep Learning with Depthwise Separable Convolutions 2017 François Chollet
1
+ PDF Chat Deep learning-based assessment of tumor-associated stroma for diagnosing breast cancer in histopathology images 2017 Babak Ehteshami Bejnordi
Jimmy Lin
Ben Glass
Maeve Mullooly
Gretchen L. Gierach
Mark E. Sherman
Nico Karssemeijer
Jeroen van der Laak
Andrew H. Beck
1
+ Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks 2017 Jun-Yan Zhu
Taesung Park
Phillip Isola
Alexei A. Efros
1
+ Network Dissection: Quantifying Interpretability of Deep Visual Representations 2017 David Bau
Bolei Zhou
Aditya Khosla
Aude Oliva
Antonio Torralba
1
+ Machine Teaching: A New Paradigm for Building Machine Learning Systems. 2017 Patrice Y. Simard
Saleema Amershi
David Maxwell Chickering
Alicia Edelman Pelton
Soroush Ghorashi
Christopher Meek
Gonzalo Ramos
Jina Suh
Johan Verwey
Mo Wang
1
+ Terabyte-scale Deep Multiple Instance Learning for Classification and Localization in Pathology. 2018 Gabriele Campanella
Vitor Werneck Krauss Silva
Thomas J. Fuchs
1
+ PDF Chat Synthetic depth-of-field with a single-camera mobile phone 2018 Neal Wadhwa
Rahul Garg
David E. Jacobs
Bryan E. Feldman
Nori Kanazawa
Robert E. Carroll
Yair Movshovitz-Attias
Jonathan T. Barron
Yael Pritch
Marc Levoy
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
+ Whole-Slide Image Focus Quality: Automatic Assessment and Impact on AI Cancer Detection 2019 Timo Kohlberger
Yun Liu
Melissa Moran
Po-Hsuan Cameron Chen
Trissia Brown
Jason Hipp
Craig H. Mermel
Martin C. Stumpe
1
+ Human-Centered Tools for Coping with Imperfect Algorithms During Medical Decision-Making 2019 Carrie J. Cai
Emily Reif
Narayan Hegde
Jason Hipp
Been Kim
Daniel Smilkov
Martin Wattenberg
Fernanda Viégas
Greg S. Corrado
Martin C. Stumpe
1
+ TensorFlow: A system for large-scale machine learning 2016 Martı́n Abadi
Paul Barham
Jianmin Chen
Zhifeng Chen
Andy Davis
Jay B. Dean
Matthieu Devin
Sanjay Ghemawat
Geoffrey Irving
Michael Isard
1
+ CNN Features off-the-shelf: an Astounding Baseline for Recognition 2014 Ali Sharif Razavian
Hossein Azizpour
Josephine Sullivan
Stefan Carlsson
1
+ Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV) 2017 Been Kim
Martin Wattenberg
Justin Gilmer
Carrie J. Cai
James Wexler
Fernanda Viégas
Rory Sayres
1
+ PDF Chat Classification and Retrieval of Digital Pathology Scans: A New Dataset 2017 Morteza Babaie
Shivam Kalra
Aditya Sriram
Christopher Mitcheltree
Shujin Zhu
Amin Khatami
Shahryar Rahnamayan
Hamid R. Tizhoosh
1
+ Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models 2018 Jesse Engel
Matthew D. Hoffman
Adam P. Roberts
1
+ PDF Chat Learning Transferable Architectures for Scalable Image Recognition 2018 Barret Zoph
Vijay Vasudevan
Jonathon Shlens
Quoc V. Le
1
+ PDF Chat Similar image search for histopathology: SMILY 2019 Narayan Hegde
Jason Hipp
Yun Liu
Michael R. Emmert‐Buck
Emily Reif
Daniel Smilkov
Michael Terry
Carrie J. Cai
Mahul B. Amin
Craig H. Mermel
1
+ Terabyte-scale Deep Multiple Instance Learning for Classification and Localization in Pathology 2018 Gabriele Campanella
Vitor Werneck Krauss Silva
Thomas J. Fuchs
1
+ Mathematical Statistics with Resampling and R 2018 Laura M. Chihara
Tim Hesterberg
1
+ PDF Chat Learning Fine-Grained Image Similarity with Deep Ranking 2014 Jiang Wang
Yang Song
Thomas Leung
Chuck Rosenberg
Jingbin Wang
James Philbin
Bo Chen
Ying Wu
1
+ Interobserver reproducibility of Gleason grading of prostatic carcinoma: General pathologist 2001 William C. Allsbrook
Kathy A. Mangold
Maribeth H. Johnson
Roger B. Lane
Cynthia G. Lane
Jonathan I. Epstein
1
+ PDF Chat Interobserver Variability in Histologic Evaluation of Radical Prostatectomy Between Central and Local Pathologists: Findings of TAX 3501 Multinational Clinical Trial 2010 George J. Netto
Mario Eisenberger
Jonathan I. Epstein
1
+ PDF Chat Statistical shape model for manifold regularization: Gleason grading of prostate histology 2013 Rachel Sparks
Anant Madabhushi
1