These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

196 related articles for article (PubMed ID: 38343214)

  • 1. Robust Medical Diagnosis: A Novel Two-Phase Deep Learning Framework for Adversarial Proof Disease Detection in Radiology Images.
    Haque SBU; Zafar A
    J Imaging Inform Med; 2024 Feb; 37(1):308-338. PubMed ID: 38343214
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Removing Adversarial Noise in X-ray Images via Total Variation Minimization and Patch-Based Regularization for Robust Deep Learning-based Diagnosis.
    Sheikh BUH; Zafar A
    J Imaging Inform Med; 2024 Dec; 37(6):3282-3303. PubMed ID: 38886292
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Untargeted white-box adversarial attack to break into deep leaning based COVID-19 monitoring face mask detection system.
    Sheikh BUH; Zafar A
    Multimed Tools Appl; 2023 May; ():1-27. PubMed ID: 37362697
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Comparing Detection Schemes for Adversarial Images against Deep Learning Models for Cancer Imaging.
    Joel MZ; Avesta A; Yang DX; Zhou JG; Omuro A; Herbst RS; Krumholz HM; Aneja S
    Cancers (Basel); 2023 Mar; 15(5):. PubMed ID: 36900339
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Defending against adversarial attacks on Covid-19 classifier: A denoiser-based approach.
    Kansal K; Krishna PS; Jain PB; R S; Honnavalli P; Eswaran S
    Heliyon; 2022 Oct; 8(10):e11209. PubMed ID: 36311356
    [TBL] [Abstract][Full Text] [Related]  

  • 6. The Threat of Adversarial Attack on a COVID-19 CT Image-Based Deep Learning System.
    Li Y; Liu S
    Bioengineering (Basel); 2023 Feb; 10(2):. PubMed ID: 36829688
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Adversarial Attacks against Deep-Learning-Based Automatic Dependent Surveillance-Broadcast Unsupervised Anomaly Detection Models in the Context of Air Traffic Management.
    Luo P; Wang B; Tian J; Liu C; Yang Y
    Sensors (Basel); 2024 Jun; 24(11):. PubMed ID: 38894375
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Adversarial Examples-Security Threats to COVID-19 Deep Learning Systems in Medical IoT Devices.
    Rahman A; Hossain MS; Alrajeh NA; Alsolami F
    IEEE Internet Things J; 2021 Jun; 8(12):9603-9610. PubMed ID: 36811011
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Robustifying Deep Networks for Medical Image Segmentation.
    Liu Z; Zhang J; Jog V; Loh PL; McMillan AB
    J Digit Imaging; 2021 Oct; 34(5):1279-1293. PubMed ID: 34545476
    [TBL] [Abstract][Full Text] [Related]  

  • 10. EIFDAA: Evaluation of an IDS with function-discarding adversarial attacks in the IIoT.
    Li S; Wang J; Wang Y; Zhou G; Zhao Y
    Heliyon; 2023 Feb; 9(2):e13520. PubMed ID: 36846700
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Towards evaluating the robustness of deep diagnostic models by adversarial attack.
    Xu M; Zhang T; Li Z; Liu M; Zhang D
    Med Image Anal; 2021 Apr; 69():101977. PubMed ID: 33550005
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Towards Unified Robustness Against Both Backdoor and Adversarial Attacks.
    Niu Z; Sun Y; Miao Q; Jin R; Hua G
    IEEE Trans Pattern Anal Mach Intell; 2024 Dec; 46(12):7589-7605. PubMed ID: 38652616
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Using Adversarial Images to Assess the Robustness of Deep Learning Models Trained on Diagnostic Images in Oncology.
    Joel MZ; Umrao S; Chang E; Choi R; Yang DX; Duncan JS; Omuro A; Herbst R; Krumholz HM; Aneja S
    JCO Clin Cancer Inform; 2022 Feb; 6():e2100170. PubMed ID: 35271304
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Defense Against Adversarial Attacks by Reconstructing Images.
    Zhang S; Gao H; Rao Q
    IEEE Trans Image Process; 2021; 30():6117-6129. PubMed ID: 34197323
    [TBL] [Abstract][Full Text] [Related]  

  • 15. On the role of deep learning model complexity in adversarial robustness for medical images.
    Rodriguez D; Nayak T; Chen Y; Krishnan R; Huang Y
    BMC Med Inform Decis Mak; 2022 Jun; 22(Suppl 2):160. PubMed ID: 35725429
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Adversarial Robustness of Deep Reinforcement Learning Based Dynamic Recommender Systems.
    Wang S; Cao Y; Chen X; Yao L; Wang X; Sheng QZ
    Front Big Data; 2022; 5():822783. PubMed ID: 35592793
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Enhancing robustness in video recognition models: Sparse adversarial attacks and beyond.
    Mu R; Marcolino L; Ni Q; Ruan W
    Neural Netw; 2024 Mar; 171():127-143. PubMed ID: 38091756
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Adversarial training and deep k-nearest neighbors improves adversarial defense of glaucoma severity detection.
    Riza Rizky LM; Suyanto S
    Heliyon; 2022 Dec; 8(12):e12275. PubMed ID: 36531633
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Exploring Robust Features for Improving Adversarial Robustness.
    Wang H; Deng Y; Yoo S; Lin Y
    IEEE Trans Cybern; 2024 Sep; 54(9):5141-5151. PubMed ID: 38593009
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Natural Images Allow Universal Adversarial Attacks on Medical Image Classification Using Deep Neural Networks with Transfer Learning.
    Minagi A; Hirano H; Takemoto K
    J Imaging; 2022 Feb; 8(2):. PubMed ID: 35200740
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.