388 related articles for article (PubMed ID: 37495197)
1. ROOD-MRI: Benchmarking the robustness of deep learning segmentation models to out-of-distribution and corrupted data in MRI.
Boone L; Biparva M; Mojiri Forooshani P; Ramirez J; Masellis M; Bartha R; Symons S; Strother S; Black SE; Heyn C; Martel AL; Swartz RH; Goubran M
Neuroimage; 2023 Sep; 278():120289. PubMed ID: 37495197
[TBL] [Abstract][Full Text] [Related]
2. A benchmark for neural network robustness in skin cancer classification.
Maron RC; Schlager JG; Haggenmüller S; von Kalle C; Utikal JS; Meier F; Gellrich FF; Hobelsberger S; Hauschild A; French L; Heinzerling L; Schlaak M; Ghoreschi K; Hilke FJ; Poch G; Heppt MV; Berking C; Haferkamp S; Sondermann W; Schadendorf D; Schilling B; Goebeler M; Krieghoff-Henning E; Hekler A; Fröhling S; Lipka DB; Kather JN; Brinker TJ
Eur J Cancer; 2021 Sep; 155():191-199. PubMed ID: 34388516
[TBL] [Abstract][Full Text] [Related]
3. Data augmentation using generative adversarial networks (CycleGAN) to improve generalizability in CT segmentation tasks.
Sandfort V; Yan K; Pickhardt PJ; Summers RM
Sci Rep; 2019 Nov; 9(1):16884. PubMed ID: 31729403
[TBL] [Abstract][Full Text] [Related]
4. Using deep learning to segment breast and fibroglandular tissue in MRI volumes.
Dalmış MU; Litjens G; Holland K; Setio A; Mann R; Karssemeijer N; Gubern-Mérida A
Med Phys; 2017 Feb; 44(2):533-546. PubMed ID: 28035663
[TBL] [Abstract][Full Text] [Related]
5. Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation.
Zhang L; Wang X; Yang D; Sanford T; Harmon S; Turkbey B; Wood BJ; Roth H; Myronenko A; Xu D; Xu Z
IEEE Trans Med Imaging; 2020 Jul; 39(7):2531-2540. PubMed ID: 32070947
[TBL] [Abstract][Full Text] [Related]
6. Deep Bayesian networks for uncertainty estimation and adversarial resistance of white matter hyperintensity segmentation.
Mojiri Forooshani P; Biparva M; Ntiri EE; Ramirez J; Boone L; Holmes MF; Adamo S; Gao F; Ozzoude M; Scott CJM; Dowlatshahi D; Lawrence-Dewar JM; Kwan D; Lang AE; Marcotte K; Leonard C; Rochon E; Heyn C; Bartha R; Strother S; Tardif JC; Symons S; Masellis M; Swartz RH; Moody A; Black SE; Goubran M
Hum Brain Mapp; 2022 May; 43(7):2089-2108. PubMed ID: 35088930
[TBL] [Abstract][Full Text] [Related]
7. Brain MR image simulation for deep learning based medical image analysis networks.
Ayaz A; Al Khalil Y; Amirrajab S; Lorenz C; Weese J; Pluim J; Breeuwer M
Comput Methods Programs Biomed; 2024 May; 248():108115. PubMed ID: 38503072
[TBL] [Abstract][Full Text] [Related]
8. Robust-Deep: A Method for Increasing Brain Imaging Datasets to Improve Deep Learning Models' Performance and Robustness.
Sanaat A; Shiri I; Ferdowsi S; Arabi H; Zaidi H
J Digit Imaging; 2022 Jun; 35(3):469-481. PubMed ID: 35137305
[TBL] [Abstract][Full Text] [Related]
9. Labelling with dynamics: A data-efficient learning paradigm for medical image segmentation.
Mo Y; Liu F; Yang G; Wang S; Zheng J; Wu F; Papież BW; McIlwraith D; He T; Guo Y
Med Image Anal; 2024 Jul; 95():103196. PubMed ID: 38781755
[TBL] [Abstract][Full Text] [Related]
10. Benchmarking Deep Learning Models for Tooth Structure Segmentation.
Schneider L; Arsiwala-Scheppach L; Krois J; Meyer-Lueckel H; Bressem KK; Niehues SM; Schwendicke F
J Dent Res; 2022 Oct; 101(11):1343-1349. PubMed ID: 35686357
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Investigation and benchmarking of U-Nets on prostate segmentation tasks.
Bhandary S; Kuhn D; Babaiee Z; Fechter T; Benndorf M; Zamboglou C; Grosu AL; Grosu R
Comput Med Imaging Graph; 2023 Jul; 107():102241. PubMed ID: 37201475
[TBL] [Abstract][Full Text] [Related]
13. Towards annotation-efficient segmentation via image-to-image translation.
Vorontsov E; Molchanov P; Gazda M; Beckham C; Kautz J; Kadoury S
Med Image Anal; 2022 Nov; 82():102624. PubMed ID: 36208571
[TBL] [Abstract][Full Text] [Related]
14. Diffusion MRI data analysis assisted by deep learning synthesized anatomical images (DeepAnat).
Li Z; Fan Q; Bilgic B; Wang G; Wu W; Polimeni JR; Miller KL; Huang SY; Tian Q
Med Image Anal; 2023 May; 86():102744. PubMed ID: 36867912
[TBL] [Abstract][Full Text] [Related]
15. Sensitivity analysis for interpretation of machine learning based segmentation models in cardiac MRI.
Ankenbrand MJ; Shainberg L; Hock M; Lohr D; Schreiber LM
BMC Med Imaging; 2021 Feb; 21(1):27. PubMed ID: 33588786
[TBL] [Abstract][Full Text] [Related]
16. Open-source pipeline for multi-class segmentation of the spinal cord with deep learning.
Paugam F; Lefeuvre J; Perone CS; Gros C; Reich DS; Sati P; Cohen-Adad J
Magn Reson Imaging; 2019 Dec; 64():21-27. PubMed ID: 31004711
[TBL] [Abstract][Full Text] [Related]
17. A generalizable brain extraction net (BEN) for multimodal MRI data from rodents, nonhuman primates, and humans.
Yu Z; Han X; Xu W; Zhang J; Marr C; Shen D; Peng T; Zhang XY; Feng J
Elife; 2022 Dec; 11():. PubMed ID: 36546674
[TBL] [Abstract][Full Text] [Related]
18. Efficient, high-performance semantic segmentation using multi-scale feature extraction.
Knolle M; Kaissis G; Jungmann F; Ziegelmayer S; Sasse D; Makowski M; Rueckert D; Braren R
PLoS One; 2021; 16(8):e0255397. PubMed ID: 34411138
[TBL] [Abstract][Full Text] [Related]
19. A Benchmark Data Set to Evaluate the Illumination Robustness of Image Processing Algorithms for Object Segmentation and Classification.
Khan AU; Mikut R; Reischl M
PLoS One; 2015; 10(7):e0131098. PubMed ID: 26191792
[TBL] [Abstract][Full Text] [Related]
20. Progressive Diversified Augmentation for General Robustness of DNNs: A Unified Approach.
Yu H; Liu A; Li G; Yang J; Zhang C
IEEE Trans Image Process; 2021; 30():8955-8967. PubMed ID: 34699360
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
