Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey

2 May 2024

Papers citing "Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey"

50 / 82 papers shown

Title
Light-weight Retinal Layer Segmentation with Global Reasoning Xiang He Weiye Song Yiming Wang Fabio Poiesi Ji Yi M. Desai Quanqing Xu Kongzheng Yang Yi Wan MedIm 3DV 49 12 0 25 Apr 2024
Understanding Video Transformers for Segmentation: A Survey of Application and Interpretability R. Karim Richard P. Wildes ViT 42 3 0 18 Oct 2023
Artificial Intelligence Index Report 2023 Nestor Maslej Loredana Fattorini Erik Brynjolfsson J. Etchemendy Katrina Ligett ... Vanessa Parli Y. Shoham Russell Wald Jack Clark Ray Perrault 111 97 0 05 Oct 2023
Extending CAM-based XAI methods for Remote Sensing Imagery Segmentation Abdul Karim Gizzini Mustafa Shukor A. Ghandour 33 2 0 03 Oct 2023
Don't trust your eyes: on the (un)reliability of feature visualizations Robert Geirhos Roland S. Zimmermann Blair Bilodeau Wieland Brendel Been Kim FAtt OOD 80 31 0 07 Jun 2023
Kartezio: Evolutionary Design of Explainable Pipelines for Biomedical Image Analysis Kévin Cortacero Brienne A. McKenzie S. Muller Roxana Khazen Fanny Lafouresse ... H. Luga Oskar Staufer Michael L. Dustin S. Valitutti Sylvain Cussat-Blanc MedIm 88 17 0 28 Feb 2023
ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts Mikolaj Sacha Dawid Rymarczyk Lukasz Struski Jacek Tabor Bartosz Zieliñski VLM 72 29 0 28 Jan 2023
Impossibility Theorems for Feature Attribution Blair Bilodeau Natasha Jaques Pang Wei Koh Been Kim FAtt 71 77 0 22 Dec 2022
Segmentation Ability Map: Interpret deep features for medical image segmentation Sheng He Yanfang Feng P. E. Grant Yangming Ou SSeg 43 26 0 19 Dec 2022
Post hoc Explanations may be Ineffective for Detecting Unknown Spurious Correlation Julius Adebayo M. Muelly H. Abelson Been Kim 75 87 0 09 Dec 2022
Logic-Based Explainability in Machine Learning Sasha Rubin LRM XAI 117 40 0 24 Oct 2022
An Interpretable Deep Semantic Segmentation Method for Earth Observation Ziyang Zhang Plamen Angelov Eduardo Soares Nicolas Longépé P. Mathieu 38 8 0 23 Oct 2022
Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images Yu Cai Hao Chen Xin Yang Yu Zhou Kwang-Ting Cheng 85 51 0 09 Oct 2022
Factorizer: A Scalable Interpretable Approach to Context Modeling for Medical Image Segmentation Pooya Ashtari Diana Sima L. De Lathauwer D. Sappey-Marinier F. Maes Sabine Van Huffel ViT MedIm 79 36 0 24 Feb 2022
From Explanations to Segmentation: Using Explainable AI for Image Segmentation Clemens Seibold Johannes Kunzel Anna Hilsmann Peter Eisert SSeg 76 7 0 01 Feb 2022
HIVE: Evaluating the Human Interpretability of Visual Explanations Sunnie S. Y. Kim Nicole Meister V. V. Ramaswamy Ruth C. Fong Olga Russakovsky 132 119 0 06 Dec 2021
Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes Jonathan Donnelly A. Barnett Chaofan Chen 3DH 123 129 0 29 Nov 2021
Explainable Medical Image Segmentation via Generative Adversarial Networks and Layer-wise Relevance Propagation Awadelrahman M. A. Ahmed Leen A. M. Ali GAN MedIm 34 5 0 02 Nov 2021
TorchEsegeta: Framework for Interpretability and Explainability of Image-based Deep Learning Models S. Chatterjee Arnab Das Chirag Mandal Budhaditya Mukhopadhyay Manish Vipinraj Aniruddh Shukla R. Rao Chompunuch Sarasaen Oliver Speck A. Nürnberger MedIm 59 15 0 16 Oct 2021
The Medical Segmentation Decathlon Michela Antonelli Annika Reinke Spyridon Bakas Keyvan Farahani AnnetteKopp-Schneider ... Zhanwei Xu Yefeng Zheng Amber L. Simpson Lena Maier-Hein M. Jorge Cardoso OOD 117 990 0 10 Jun 2021
Argumentative XAI: A Survey Kristijonas vCyras Antonio Rago Emanuele Albini P. Baroni Francesca Toni 61 144 0 24 May 2021
Segmenter: Transformer for Semantic Segmentation Robin Strudel Ricardo Garcia Pinel Ivan Laptev Cordelia Schmid ViT 218 1,473 0 12 May 2021
Do Feature Attribution Methods Correctly Attribute Features? Yilun Zhou Serena Booth Marco Tulio Ribeiro J. Shah FAtt XAI 89 135 0 27 Apr 2021
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation Jieneng Chen Yongyi Lu Qihang Yu Xiangde Luo Ehsan Adeli Yan Wang Le Lu Alan Yuille Yuyin Zhou ViT MedIm 98 3,499 0 08 Feb 2021
A Survey on Understanding, Visualizations, and Explanation of Deep Neural Networks Atefeh Shahroudnejad FaML AAML AI4CE XAI 108 36 0 02 Feb 2021
Rethinking Semantic Segmentation Evaluation for Explainability and Model Selection Yuxiang Zhang Sachin Mehta A. Caspi 74 20 0 21 Jan 2021
U-Noise: Learnable Noise Masks for Interpretable Image Segmentation Teddy Koker Fatemehsadat Mireshghallah Tom Titcombe Georgios Kaissis 32 22 0 14 Jan 2021
A Survey on Neural Network Interpretability Yu Zhang Peter Tiño A. Leonardis K. Tang FaML XAI 207 684 0 28 Dec 2020
Use HiResCAM instead of Grad-CAM for faithful explanations of convolutional neural networks R. Draelos Lawrence Carin FAtt 82 96 0 17 Nov 2020
Kvasir-Instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy Debesh Jha Sharib Ali Krister Emanuelsen Steven A. Hicks VajiraThambawita ... Thomas de Lange P. Schmidt H. Johansen Dag Johansen Pål Halvorsen 57 115 0 23 Oct 2020
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation Ran Gu Guotai Wang Tao Song Rui Huang Michael Aertsen Jan Deprest Sébastien Ourselin Tom Vercauteren Shaoting Zhang SSeg 114 469 0 22 Sep 2020
Towards Interpretable Semantic Segmentation via Gradient-weighted Class Activation Mapping Kira Vinogradova Alexandr Dibrov E. Myers FAtt 116 150 0 26 Feb 2020
SAUNet: Shape Attentive U-Net for Interpretable Medical Image Segmentation Jesse Sun Fatemeh Darbeha M. Zaidi Bo Wang AAML 60 111 0 21 Jan 2020
CHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ Segmentation A. Emre Kavur N. Gezer M. Baris Sinem Aslan Pierre-Henri Conze ... Klaus H. Maier-Hein G. Akar Gözde B. Ünal O. Dicle M. Alper Selver 95 627 0 17 Jan 2020
On Interpretability of Artificial Neural Networks: A Survey Fenglei Fan Jinjun Xiong Mengzhou Li Ge Wang AAML AI4CE 81 314 0 08 Jan 2020
Exploratory Not Explanatory: Counterfactual Analysis of Saliency Maps for Deep Reinforcement Learning Akanksha Atrey Kaleigh Clary David D. Jensen FAtt LRM 64 91 0 09 Dec 2019
Towards Explainable Deep Neural Networks (xDNN) Plamen Angelov Eduardo Soares AAML 81 262 0 05 Dec 2019
Post-Mortem Iris Recognition Resistant to Biological Eye Decay Processes Mateusz Trokielewicz A. Czajka P. Maciejewicz CVBM 46 10 0 05 Dec 2019
Sanity Checks for Saliency Metrics Richard J. Tomsett Daniel Harborne Supriyo Chakraborty Prudhvi K. Gurram Alun D. Preece XAI 103 170 0 29 Nov 2019
Kvasir-SEG: A Segmented Polyp Dataset Debesh Jha P. Smedsrud Michael A. Riegler Pål Halvorsen Thomas de Lange Dag Johansen Haavard D. Johansen 188 1,178 0 16 Nov 2019
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 130 6,321 0 22 Oct 2019
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 146 682 0 16 Oct 2019
REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs J. Orlando Huazhu Fu J. Barbosa-Breda K. V. Keer Deepti R. Bathula ... Fei Li Xiulan Zhang Yanwu Xu Xiulan Zhang Hrvoje Bogunović 134 618 0 08 Oct 2019
BCN20000: Dermoscopic Lesions in the Wild Marc Combalia Noel Codella V. Rotemberg Brian Helba Verónica Vilaplana ... Cristina Carrera Alicia Barreiro Allan Halpern S. Puig J. Malvehy 66 446 0 06 Aug 2019
MaskGAN: Towards Diverse and Interactive Facial Image Manipulation Cheng-Han Lee Ziwei Liu Lingyun Wu Ping Luo CVBM 171 1,076 0 27 Jul 2019
Natural Adversarial Examples Dan Hendrycks Kevin Zhao Steven Basart Jacob Steinhardt Basel Alomair OODD 236 1,484 0 16 Jul 2019
Explanations can be manipulated and geometry is to blame Ann-Kathrin Dombrowski Maximilian Alber Christopher J. Anders M. Ackermann K. Müller Pan Kessel AAML FAtt 88 334 0 19 Jun 2019
XRAI: Better Attributions Through Regions A. Kapishnikov Tolga Bolukbasi Fernanda Viégas Michael Terry FAtt XAI 62 212 0 06 Jun 2019
Explainable Machine Learning for Scientific Insights and Discoveries R. Roscher B. Bohn Marco F. Duarte Jochen Garcke XAI 106 675 0 21 May 2019
A large annotated medical image dataset for the development and evaluation of segmentation algorithms Amber L. Simpson Michela Antonelli Spyridon Bakas Michel Bilello Keyvan Farahani ... M. McHugo S. Napel Eugene Vorontsov Lena Maier-Hein M. Jorge Cardoso 117 862 0 25 Feb 2019