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Antoine Pirovano
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All published works
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Title
Year
Authors
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Improving Interpretability for Computer-Aided Diagnosis Tools on Whole Slide Imaging with Multiple Instance Learning and Gradient-Based Explanations
2020
Antoine Pirovano
Hippolyte Heuberger
Sylvain Berlemont
Saïd Ladjal
Isabelle Bloch
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Regression Constraint for an Explainable Cervical Cancer Classifier.
2019
Antoine Pirovano
Leandro G. Almeida
Saïd Ladjal
Common Coauthors
Coauthor
Papers Together
Saïd Ladjal
2
Hippolyte Heuberger
1
Isabelle Bloch
1
Sylvain Berlemont
1
Leandro G. Almeida
1
Commonly Cited References
Action
Title
Year
Authors
# of times referenced
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PDF
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Deep Residual Learning for Image Recognition
2016
Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
1
+
Feed-Forward Networks with Attention Can Solve Some Long-Term Memory Problems
2015
Colin Raffel
Daniel P. W. Ellis
1
+
SmoothGrad: removing noise by adding noise
2017
Daniel Smilkov
Nikhil Thorat
Been Kim
Fernanda Viégas
Martin Wattenberg
1
+
Attention-based Deep Multiple Instance Learning
2018
Maximilian Ilse
Jakub M. Tomczak
Max Welling
1
+
Classification and Disease Localization in Histopathology Using Only Global Labels: A Weakly-Supervised Approach
2018
Pierre Courtiol
Eric W. Tramel
Marc Sanselme
Gilles Wainrib
1
+
An attention-based multi-resolution model for prostate whole slide imageclassification and localization
2019
Jiayun Li
Wenyuan Li
Arkadiusz Gertych
Beatrice S. Knudsen
William Speier
Corey Arnold
1
+
Transfusion: Understanding Transfer Learning for Medical Imaging
2019
Maithra Raghu
Chiyuan Zhang
Jon Kleinberg
Samy Bengio
1
+
Axiomatic Attribution for Deep Networks
2017
Mukund Sundararajan
Ankur Taly
Qiqi Yan
1
+
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
2013
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
1
+
PDF
Chat
Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution
2021
Gary Goh
Sebastian Lapuschkin
Leander Weber
Wojciech Samek
Alexander Binder
1
+
PDF
Chat
Interpretable Explanations of Black Boxes by Meaningful Perturbation
2017
Ruth Fong
Andrea Vedaldi
1
+
PDF
Chat
DeepPap: Deep Convolutional Networks for Cervical Cell Classification
2017
Ling Zhang
Le Lü
Isabella Nogues
Ronald M. Summers
Shaoxiong Liu
Jianhua Yao
1