Transparency of Deep Neural Networks for Medical Image Analysis: A
Review of Interpretability Methods

Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods

1 November 2021

Zohaib Salahuddin

Henry C. Woodruff

Philippe Lambin

Papers citing "Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods"

17 / 67 papers shown

Title
cRedAnno+: Annotation Exploitation in Self-Explanatory Lung Nodule Diagnosis Jiahao Lu Chong Yin Kenny Erleben M. B. Nielsen S. Darkner 24 1 0 28 Oct 2022
Tiny-HR: Towards an interpretable machine learning pipeline for heart rate estimation on edge devices Preetam Anbukarasu Shailesh Nanisetty Ganesh Tata Nilanjan Ray 29 5 0 16 Aug 2022
Visual Interpretable and Explainable Deep Learning Models for Brain Tumor MRI and COVID-19 Chest X-ray Images Yusuf Brima M. Atemkeng FAtt MedIm 29 0 0 01 Aug 2022
Improving Disease Classification Performance and Explainability of Deep Learning Models in Radiology with Heatmap Generators A. Watanabe Sara Ketabi Khashayar Namdar Namdar Farzad Khalvati 14 8 0 28 Jun 2022
Reducing Annotation Need in Self-Explanatory Models for Lung Nodule Diagnosis Jiahao Lu Chong Yin Oswin Krause Kenny Erleben M. B. Nielsen S. Darkner MedIm 26 3 0 27 Jun 2022
Explainable Deep Learning Methods in Medical Image Classification: A Survey Cristiano Patrício João C. Neves Luís F. Teixeira XAI 24 52 0 10 May 2022
Attri-VAE: attribute-based interpretable representations of medical images with variational autoencoders Irem Cetin Maialen Stephens Oscar Camara M. A. G. Ballester DRL 43 39 0 20 Mar 2022
Explainable Medical Imaging AI Needs Human-Centered Design: Guidelines and Evidence from a Systematic Review Haomin Chen Catalina Gomez Chien-Ming Huang Mathias Unberath 27 121 0 21 Dec 2021
A Survey on Neural-symbolic Learning Systems Dongran Yu Bo Yang Da Liu Hui Wang Shirui Pan 21 55 0 10 Nov 2021
An Explainable-AI approach for Diagnosis of COVID-19 using MALDI-ToF Mass Spectrometry V. Seethi Z. LaCasse P. Chivte Joshua Bland Shrihari S. Kadkol E. Gaillard Pratool Bharti Hamed Alhoori 24 9 0 28 Sep 2021
Interpretable Mammographic Image Classification using Case-Based Reasoning and Deep Learning A. Barnett F. Schwartz Chaofan Tao Chaofan Chen Yinhao Ren J. Lo Cynthia Rudin 64 21 0 12 Jul 2021
Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond Guang Yang Qinghao Ye Jun Xia 92 480 0 03 Feb 2021
Using StyleGAN for Visual Interpretability of Deep Learning Models on Medical Images K. Schutte O. Moindrot P. Hérent Jean-Baptiste Schiratti S. Jégou FAtt MedIm 39 60 0 19 Jan 2021
Explaining the Black-box Smoothly- A Counterfactual Approach Junyu Chen Yong Du Yufan He W. Paul Segars Ye Li MedIm FAtt 65 100 0 11 Jan 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 300 10,368 0 12 Dec 2018
Learn To Pay Attention Saumya Jetley Nicholas A. Lord Namhoon Lee Philip Torr 67 437 0 06 Apr 2018
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 257 3,690 0 28 Feb 2017