InfoMask: Masked Variational Latent Representation to Localize Chest Disease

28 March 2019

Papers citing "InfoMask: Masked Variational Latent Representation to Localize Chest Disease"

9 / 9 papers shown

Title
From Pixels to Perception: Interpretable Predictions via Instance-wise Grouped Feature Selection Moritz Vandenhirtz Julia E. Vogt 38 0 0 09 May 2025
New Definitions and Evaluations for Saliency Methods: Staying Intrinsic, Complete and Sound Arushi Gupta Nikunj Saunshi Dingli Yu Kaifeng Lyu Sanjeev Arora AAML FAtt XAI 31 5 0 05 Nov 2022
Information Bottleneck Approach to Spatial Attention Learning Qiuxia Lai Yu Li Ailing Zeng Minhao Liu Hanqiu Sun Qiang Xu 22 9 0 07 Aug 2021
Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features Ashkan Khakzar Yang Zhang W. Mansour Yuezhi Cai Yawei Li Yucheng Zhang Seong Tae Kim Nassir Navab FAtt 52 17 0 01 Apr 2021
Deep Learning for Chest X-ray Analysis: A Survey Ecem Sogancioglu E. Çallı Bram van Ginneken K. G. V. Leeuwen K. Murphy LM&MA 24 317 0 15 Mar 2021
Explaining by Removing: A Unified Framework for Model Explanation Ian Covert Scott M. Lundberg Su-In Lee FAtt 48 242 0 21 Nov 2020
Feature Removal Is a Unifying Principle for Model Explanation Methods Ian Covert Scott M. Lundberg Su-In Lee FAtt 33 33 0 06 Nov 2020
Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking M. Schlichtkrull Nicola De Cao Ivan Titov AI4CE 36 214 0 01 Oct 2020
Deep Semantic Segmentation of Natural and Medical Images: A Review Saeid Asgari Taghanaki Kumar Abhishek Joseph Paul Cohen Julien Cohen-Adad Ghassan Hamarneh SSeg VLM 45 667 0 16 Oct 2019