Domain aware medical image classifier interpretation by counterfactual impact analysis

13 July 2020

Dimitrios Lenis

David Major

Astrid Berg

Katja Bühler

Papers citing "Domain aware medical image classifier interpretation by counterfactual impact analysis"

22 / 22 papers shown

Title
Interpreting Medical Image Classifiers by Optimization Based Counterfactual Impact Analysis David Major Dimitrios Lenis M. Wimmer Gert Sluiter Astrid Berg Katja Bühler FAtt 100 12 0 03 Apr 2020
Understanding Deep Networks via Extremal Perturbations and Smooth Masks Ruth C. Fong Mandela Patrick Andrea Vedaldi AAML 71 416 0 18 Oct 2019
Discretely-constrained deep network for weakly supervised segmentation Jizong Peng H. Kervadec Jose Dolz Ismail Ben Ayed M. Pedersoli Christian Desrosiers 55 31 0 15 Aug 2019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison Jeremy Irvin Pranav Rajpurkar M. Ko Yifan Yu Silviana Ciurea-Ilcus ... D. Larson C. Langlotz Bhavik Patel M. Lungren A. Ng 112 2,595 0 21 Jan 2019
Sanity Checks for Saliency Maps Julius Adebayo Justin Gilmer M. Muelly Ian Goodfellow Moritz Hardt Been Kim FAtt AAML XAI 134 1,967 0 08 Oct 2018
Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images Jo Schlemper Ozan Oktay M. Schaap M. Heinrich Bernhard Kainz Ben Glocker Daniel Rueckert MedIm 66 1,467 0 22 Aug 2018
Explaining Image Classifiers by Counterfactual Generation C. Chang Elliot Creager Anna Goldenberg David Duvenaud VLM 73 264 0 20 Jul 2018
Pathology Segmentation using Distributional Differences to Images of Healthy Origin Simon Andermatt Antal Huck-Horváth Simon Pezold Philippe C. Cattin MedIm 63 29 0 25 May 2018
Constrained-CNN losses for weakly supervised segmentation H. Kervadec Jose Dolz Meng Tang Eric Granger Yuri Boykov Ismail Ben Ayed 70 239 0 12 May 2018
Image Inpainting for Irregular Holes Using Partial Convolutions Guilin Liu F. Reda Kevin J. Shih Ting-Chun Wang Andrew Tao Bryan Catanzaro 209 1,931 0 20 Apr 2018
Learning Implicit Brain MRI Manifolds with Deep Learning Camilo Bermudez A. Plassard L. Davis A. Newton Susan M. Resnick Bennett A. Landman DiffM MedIm 67 129 0 05 Jan 2018
Visual Feature Attribution using Wasserstein GANs Christian F. Baumgartner Lisa M. Koch K. Tezcan Jia Xi Ang E. Konukoglu GAN MedIm 81 144 0 24 Nov 2017
Real Time Image Saliency for Black Box Classifiers P. Dabkowski Y. Gal 67 589 0 22 May 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 1.2K 20,858 0 17 Apr 2017
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 669 10,786 0 19 Feb 2017
Visualizing Deep Neural Network Decisions: Prediction Difference Analysis L. Zintgraf Taco S. Cohen T. Adel Max Welling FAtt 134 708 0 15 Feb 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 303 20,023 0 07 Oct 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 772 36,813 0 25 Aug 2016
The Mythos of Model Interpretability Zachary Chase Lipton FaML 180 3,701 0 10 Jun 2016
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 250 9,319 0 14 Dec 2015
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 312 7,295 0 20 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 595 15,882 0 12 Nov 2013