Regression Concept Vectors for Bidirectional Explanations in Histopathology

9 April 2019

Papers citing "Regression Concept Vectors for Bidirectional Explanations in Histopathology"

13 / 13 papers shown

Title
Uncovering Unique Concept Vectors through Latent Space Decomposition Mara Graziani Laura Mahony An-phi Nguyen Henning Muller Vincent Andrearczyk 43 4 0 13 Jul 2023
Coherent Concept-based Explanations in Medical Image and Its Application to Skin Lesion Diagnosis Cristiano Patrício João C. Neves Luís F. Teixeira MedIm FAtt 24 17 0 10 Apr 2023
LINe: Out-of-Distribution Detection by Leveraging Important Neurons Yong Hyun Ahn Gyeong-Moon Park Seong Tae Kim OODD 116 31 0 24 Mar 2023
Towards Procedural Fairness: Uncovering Biases in How a Toxic Language Classifier Uses Sentiment Information I. Nejadgholi Esma Balkir Kathleen C. Fraser S. Kiritchenko 34 3 0 19 Oct 2022
Concept Embedding Analysis: A Review Gesina Schwalbe 21 28 0 25 Mar 2022
Human-Centered Concept Explanations for Neural Networks Chih-Kuan Yeh Been Kim Pradeep Ravikumar FAtt 27 25 0 25 Feb 2022
Neural-Symbolic Integration for Interactive Learning and Conceptual Grounding Benedikt Wagner Artur Garcez NAI 16 5 0 22 Dec 2021
Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods Zohaib Salahuddin Henry C. Woodruff A. Chatterjee Philippe Lambin 15 301 0 01 Nov 2021
A Survey on Deep Learning and Explainability for Automatic Report Generation from Medical Images Pablo Messina Pablo Pino Denis Parra Alvaro Soto Cecilia Besa S. Uribe Marcelo andía C. Tejos Claudia Prieto Daniel Capurro MedIm 30 62 0 20 Oct 2020
Debiasing Concept-based Explanations with Causal Analysis M. T. Bahadori David Heckerman FAtt CML 6 38 0 22 Jul 2020
Explainable deep learning models in medical image analysis Amitojdeep Singh S. Sengupta Vasudevan Lakshminarayanan XAI 29 482 0 28 May 2020
AMD Severity Prediction And Explainability Using Image Registration And Deep Embedded Clustering Dwarikanath Mahapatra 16 15 0 06 Jul 2019
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,238 0 24 Jun 2017