217 related articles for article (PubMed ID: 35725429)
1. 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]
2. 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]
3. 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]
4. Universal adversarial attacks on deep neural networks for medical image classification.
Hirano H; Minagi A; Takemoto K
BMC Med Imaging; 2021 Jan; 21(1):9. PubMed ID: 33413181
[TBL] [Abstract][Full Text] [Related]
5. Adversarial attack vulnerability of medical image analysis systems: Unexplored factors.
Bortsova G; González-Gonzalo C; Wetstein SC; Dubost F; Katramados I; Hogeweg L; Liefers B; van Ginneken B; Pluim JPW; Veta M; Sánchez CI; de Bruijne M
Med Image Anal; 2021 Oct; 73():102141. PubMed ID: 34246850
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Robust image classification against adversarial attacks using elastic similarity measures between edge count sequences.
Oregi I; Del Ser J; Pérez A; Lozano JA
Neural Netw; 2020 Aug; 128():61-72. PubMed ID: 32442627
[TBL] [Abstract][Full Text] [Related]
8. Evaluation of GAN-Based Model for Adversarial Training.
Zhao W; Mahmoud QH; Alwidian S
Sensors (Basel); 2023 Mar; 23(5):. PubMed ID: 36904900
[TBL] [Abstract][Full Text] [Related]
9. On the robustness of skeleton detection against adversarial attacks.
Bai X; Yang M; Liu Z
Neural Netw; 2020 Dec; 132():416-427. PubMed ID: 33022470
[TBL] [Abstract][Full Text] [Related]
10. Between-Class Adversarial Training for Improving Adversarial Robustness of Image Classification.
Wang D; Jin W; Wu Y
Sensors (Basel); 2023 Mar; 23(6):. PubMed ID: 36991962
[TBL] [Abstract][Full Text] [Related]
11. Adversarial attack on deep learning-based dermatoscopic image recognition systems: Risk of misdiagnosis due to undetectable image perturbations.
Allyn J; Allou N; Vidal C; Renou A; Ferdynus C
Medicine (Baltimore); 2020 Dec; 99(50):e23568. PubMed ID: 33327315
[TBL] [Abstract][Full Text] [Related]
12. Increasing-Margin Adversarial (IMA) training to improve adversarial robustness of neural networks.
Ma L; Liang L
Comput Methods Programs Biomed; 2023 Oct; 240():107687. PubMed ID: 37392695
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. 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]
15. Meta Invariance Defense Towards Generalizable Robustness to Unknown Adversarial Attacks.
Zhang L; Zhou Y; Yang Y; Gao X
IEEE Trans Pattern Anal Mach Intell; 2024 Apr; PP():. PubMed ID: 38587963
[TBL] [Abstract][Full Text] [Related]
16. A Feature Space-Restricted Attention Attack on Medical Deep Learning Systems.
Wang Z; Shu X; Wang Y; Feng Y; Zhang L; Yi Z
IEEE Trans Cybern; 2023 Aug; 53(8):5323-5335. PubMed ID: 36240037
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Interpreting and Improving Adversarial Robustness of Deep Neural Networks With Neuron Sensitivity.
Zhang C; Liu A; Liu X; Xu Y; Yu H; Ma Y; Li T
IEEE Trans Image Process; 2021; 30():1291-1304. PubMed ID: 33290221
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. 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]
[Next] [New Search]