Adversarial robustness of a U-Net-based model observer for CT protocol optimization | Paper Citation Record

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Adversarial robustness of a U-Net-based model observer for CT protocol optimization Unresolved cited work

Reference 1

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This paper cites Threat of adversarial attacks on deep learning in computer vision: a survey.IEEE Access, 6:14410–14430, 2018.

Adversarial robustness of a U-Net-based model observer for CT protocol optimization Threat of adversarial attacks on deep learning in computer vision: a survey.IEEE Access, 6:14410–14430, 2018

Reference 2

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This paper cites Adversarial attacks and defenses in explainable artificial intelligence: a survey.Information Fusion, 107:102303, 2024.

Adversarial robustness of a U-Net-based model observer for CT protocol optimization Adversarial attacks and defenses in explainable artificial intelligence: a survey.Information Fusion, 107:102303, 2024

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Adversarial robustness of a U-Net-based model observer for CT protocol optimization Barrett and Kyle J

Reference 4

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Adversarial robustness of a U-Net-based model observer for CT protocol optimization Barrett, Jie Yao, Jannick P

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Adversarial robustness of a U-Net-based model observer for CT protocol optimization Evasion attacks against machine learning at test time

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Adversarial robustness of a U-Net-based model observer for CT protocol optimization Machine learning robustness: A primer

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Adversarial robustness of a U-Net-based model observer for CT protocol optimization Unresolved cited work

Reference 8

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Adversarial robustness of a U-Net-based model observer for CT protocol optimization Towards evaluating the robustness of neural networks

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This paper cites A survey on adversarial attacks and defences.CAAI Transactions on Intelligence Technology, 6(1):25–45, 2021.

Adversarial robustness of a U-Net-based model observer for CT protocol optimization A survey on adversarial attacks and defences.CAAI Transactions on Intelligence Technology, 6(1):25–45, 2021

Reference 10

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This paper cites Council directive 2013/59/euratom, 2013.

Adversarial robustness of a U-Net-based model observer for CT protocol optimization Council directive 2013/59/euratom, 2013

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This paper cites DeGrave, Joseph D.

Adversarial robustness of a U-Net-based model observer for CT protocol optimization DeGrave, Joseph D

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This paper cites Survey on adversarial attack and defense for medical image analysis: Methods and challenges.ACM Comput.

Adversarial robustness of a U-Net-based model observer for CT protocol optimization Survey on adversarial attack and defense for medical image analysis: Methods and challenges.ACM Comput

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This paper cites Addressing signal alterations induced in CT images by deep learning processing: a preliminary phantom study.Physica Medica, 83:88–100, 2021.

Adversarial robustness of a U-Net-based model observer for CT protocol optimization Addressing signal alterations induced in CT images by deep learning processing: a preliminary phantom study.Physica Medica, 83:88–100, 2021

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Adversarial robustness of a U-Net-based model observer for CT protocol optimization Finlayson, John D

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Adversarial robustness of a U-Net-based model observer for CT protocol optimization Freiesleben and T

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This paper cites The intriguing relation between counterfactual explanations and adversarial examples.Minds and Machines, 32(1):77–109, 2022.

Adversarial robustness of a U-Net-based model observer for CT protocol optimization The intriguing relation between counterfactual explanations and adversarial examples.Minds and Machines, 32(1):77–109, 2022

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Adversarial robustness of a U-Net-based model observer for CT protocol optimization Wichmann

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Adversarial robustness of a U-Net-based model observer for CT protocol optimization Gillies, Paul E

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This paper cites Explaining and Harnessing Adversarial Examples.

Adversarial robustness of a U-Net-based model observer for CT protocol optimization Explaining and Harnessing Adversarial Examples

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This paper cites Haralick, K.

Adversarial robustness of a U-Net-based model observer for CT protocol optimization Haralick, K

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This paper cites Model observers in medical imaging research.Theranostics, 3:774–786, 2013.

Adversarial robustness of a U-Net-based model observer for CT protocol optimization Model observers in medical imaging research.Theranostics, 3:774–786, 2013

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Adversarial robustness of a U-Net-based model observer for CT protocol optimization Hirano, A

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Adversarial robustness of a U-Net-based model observer for CT protocol optimization Adversarial examples are not bugs, they are features

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Adversarial robustness of a U-Net-based model observer for CT protocol optimization Recommendations of the ICRP

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This paper cites Artificial intelligence (AI) – assessment of the robustness of neural networks – part 1: Overview.

Adversarial robustness of a U-Net-based model observer for CT protocol optimization Artificial intelligence (AI) – assessment of the robustness of neural networks – part 1: Overview

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Adversarial robustness of a U-Net-based model observer for CT protocol optimization Adversarial examples in the physical world

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Adversarial robustness of a U-Net-based model observer for CT protocol optimization Towards deep learning models resistant to adversarial attacks

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This paper cites Mayerhoefer, Andrzej Materka, Georg Langs, Ida H¨ aggstr¨ om, Piotr Szczypi´ nski, Peter Gibbs, and Gary Cook.

Adversarial robustness of a U-Net-based model observer for CT protocol optimization Mayerhoefer, Andrzej Materka, Georg Langs, Ida H¨ aggstr¨ om, Piotr Szczypi´ nski, Peter Gibbs, and Gary Cook

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Adversarial robustness of a U-Net-based model observer for CT protocol optimization Leanpub, 2025

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Adversarial robustness of a U-Net-based model observer for CT protocol optimization Universal adversarial perturbations

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Adversarial robustness of a U-Net-based model observer for CT protocol optimization Stacked hourglass networks for human pose estimation

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Adversarial robustness of a U-Net-based model observer for CT protocol optimization Adversarial Robustness Toolbox v1.0.0, 2018

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Adversarial robustness of a U-Net-based model observer for CT protocol optimization Generalizability vs robustness: investigating medical imaging networks using adversarial examples

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Adversarial robustness of a U-Net-based model observer for CT protocol optimization Integrating spatial configuration into heatmap regression cnns for landmark localization.Medical Image Analysis, 54:207–219, 2019

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This paper cites On the relationship between generalization and robustness to adversarial examples.Symmetry, 13(5):817, 2021.

Adversarial robustness of a U-Net-based model observer for CT protocol optimization On the relationship between generalization and robustness to adversarial examples.Symmetry, 13(5):817, 2021

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Adversarial robustness of a U-Net-based model observer for CT protocol optimization Adversarial machine learning: a review of methods, tools, and critical industry sectors.Artificial Intelligence Review, 2025

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Adversarial robustness of a U-Net-based model observer for CT protocol optimization U-Net: Convolutional networks for biomedical image segmentation

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Adversarial robustness of a U-Net-based model observer for CT protocol optimization Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra

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Adversarial robustness of a U-Net-based model observer for CT protocol optimization Adversarial Examples - A Complete Characterisation of the Phenomenon

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Adversarial robustness of a U-Net-based model observer for CT protocol optimization Elkin, and Vijay Devabhaktuni

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Adversarial robustness of a U-Net-based model observer for CT protocol optimization Swensson

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Adversarial robustness of a U-Net-based model observer for CT protocol optimization Intriguing properties of neural networks

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Adversarial robustness of a U-Net-based model observer for CT protocol optimization Thibault, B

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Adversarial robustness of a U-Net-based model observer for CT protocol optimization Robustness may be at odds with accuracy

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Adversarial robustness of a U-Net-based model observer for CT protocol optimization Unresolved cited work

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Adversarial robustness of a U-Net-based model observer for CT protocol optimization Computational radiomics system to decode the radiographic phenotype.Cancer Research, 77(21):e104–e107, 2017

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Adversarial robustness of a U-Net-based model observer for CT protocol optimization van Timmeren, Davide Cester, Stephanie Tanadini-Lang, Hatem Alkadhi, and Bettina Baessler

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Adversarial robustness of a U-Net-based model observer for CT protocol optimization Counterfactual explanations without opening the black box: automated decisions and the gdpr.Harvard Journal of Law & Technology, 31(2):841– 887, 2018

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Adversarial robustness of a U-Net-based model observer for CT protocol optimization Welch, Chris McIntosh, Benjamin Haibe-Kains, Michael F

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Adversarial robustness of a U-Net-based model observer for CT protocol optimization Unresolved cited work

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Adversarial robustness of a U-Net-based model observer for CT protocol optimization Xing, Laurent El Ghaoui, and Michael I

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Adversarial robustness of a U-Net-based model observer for CT protocol optimization Abdalah, Hugo J

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