139 related articles for article (PubMed ID: 36183611)
1. Data augmentation with Mixup: Enhancing performance of a functional neuroimaging-based prognostic deep learning classifier in recent onset psychosis.
Smucny J; Shi G; Lesh TA; Carter CS; Davidson I
Neuroimage Clin; 2022; 36():103214. PubMed ID: 36183611
[TBL] [Abstract][Full Text] [Related]
2. Deep Learning in Neuroimaging: Overcoming Challenges With Emerging Approaches.
Smucny J; Shi G; Davidson I
Front Psychiatry; 2022; 13():912600. PubMed ID: 35722548
[TBL] [Abstract][Full Text] [Related]
3. Baseline Frontoparietal Task-Related BOLD Activity as a Predictor of Improvement in Clinical Symptoms at 1-Year Follow-Up in Recent-Onset Psychosis.
Smucny J; Lesh TA; Carter CS
Am J Psychiatry; 2019 Oct; 176(10):839-845. PubMed ID: 31256610
[TBL] [Abstract][Full Text] [Related]
4. Suppressing label noise in medical image classification using mixup attention and self-supervised learning.
Gao M; Jiang H; Hu Y; Ren Q; Xie Z; Liu J
Phys Med Biol; 2024 May; 69(10):. PubMed ID: 38636495
[TBL] [Abstract][Full Text] [Related]
5. Comparing machine and deep learning-based algorithms for prediction of clinical improvement in psychosis with functional magnetic resonance imaging.
Smucny J; Davidson I; Carter CS
Hum Brain Mapp; 2021 Mar; 42(4):1197-1205. PubMed ID: 33185307
[TBL] [Abstract][Full Text] [Related]
6. Universum-Inspired Supervised Contrastive Learning.
Han A; Geng C; Chen S
IEEE Trans Image Process; 2023; 32():4275-4286. PubMed ID: 37405884
[TBL] [Abstract][Full Text] [Related]
7. MetaMixUp: Learning Adaptive Interpolation Policy of MixUp With Metalearning.
Mai Z; Hu G; Chen D; Shen F; Shen HT
IEEE Trans Neural Netw Learn Syst; 2022 Jul; 33(7):3050-3064. PubMed ID: 33646956
[TBL] [Abstract][Full Text] [Related]
8. Multi-sample
Abhishek K; Brown CJ; Hamarneh G
J Big Data; 2024; 11(1):43. PubMed ID: 38528850
[TBL] [Abstract][Full Text] [Related]
9. Exploring the potential of representation and transfer learning for anatomical neuroimaging: Application to psychiatry.
Dufumier B; Gori P; Petiton S; Louiset R; Mangin JF; Grigis A; Duchesnay E
Neuroimage; 2024 Aug; 296():120665. PubMed ID: 38848981
[TBL] [Abstract][Full Text] [Related]
10. Pseudo-Bag Mixup Augmentation for Multiple Instance Learning-Based Whole Slide Image Classification.
Liu P; Ji L; Zhang X; Ye F
IEEE Trans Med Imaging; 2024 May; 43(5):1841-1852. PubMed ID: 38194395
[TBL] [Abstract][Full Text] [Related]
11. R-Mixup: Riemannian Mixup for Biological Networks.
Kan X; Li Z; Cui H; Yu Y; Xu R; Yu S; Zhang Z; Guo Y; Yang C
KDD; 2023 Aug; 2023():1073-1085. PubMed ID: 38343707
[TBL] [Abstract][Full Text] [Related]
12. R-Mixup: Riemannian Mixup for Biological Networks.
Kan X; Li Z; Cui H; Yu Y; Xu R; Yu S; Zhang Z; Guo Y; Yang C
ArXiv; 2023 Jun; ():. PubMed ID: 37332568
[TBL] [Abstract][Full Text] [Related]
13. Deep learning with mixup augmentation for improved pore detection during additive manufacturing.
Ahmmed B; Rau EG; Mudunuru MK; Karra S; Tempelman JR; Wachtor AJ; Forien JB; Guss GM; Calta NP; DePond PJ; Matthews MJ
Sci Rep; 2024 Jun; 14(1):13365. PubMed ID: 38862686
[TBL] [Abstract][Full Text] [Related]
14. BLENDS: Augmentation of Functional Magnetic Resonance Images for Machine Learning Using Anatomically Constrained Warping.
Nguyen KP; Raval V; Minhajuddin A; Carmody T; Trivedi MH; Dewey RB; Montillo AA
Brain Connect; 2023 Mar; 13(2):80-88. PubMed ID: 36097756
[No Abstract] [Full Text] [Related]
15. Machine learning methods to predict outcomes of pharmacological treatment in psychosis.
Del Fabro L; Bondi E; Serio F; Maggioni E; D'Agostino A; Brambilla P
Transl Psychiatry; 2023 Mar; 13(1):75. PubMed ID: 36864017
[TBL] [Abstract][Full Text] [Related]
16. Making Individual Prognoses in Psychiatry Using Neuroimaging and Machine Learning.
Janssen RJ; MourĂ£o-Miranda J; Schnack HG
Biol Psychiatry Cogn Neurosci Neuroimaging; 2018 Sep; 3(9):798-808. PubMed ID: 29789268
[TBL] [Abstract][Full Text] [Related]
17. Deep learning based pipelines for Alzheimer's disease diagnosis: A comparative study and a novel deep-ensemble method.
Loddo A; Buttau S; Di Ruberto C
Comput Biol Med; 2022 Feb; 141():105032. PubMed ID: 34838263
[TBL] [Abstract][Full Text] [Related]
18. Time-domain Mixup Source Data Augmentation of sEMGs for Motion Recognition towards Efficient Style Transfer Mapping.
Kanoga S; Takase T; Hoshino T; Asoh H
Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():35-38. PubMed ID: 34891233
[TBL] [Abstract][Full Text] [Related]
19. AMPLIFY: attention-based mixup for performance improvement and label smoothing in transformer.
Yang L; Xiang Y
PeerJ Comput Sci; 2024; 10():e2011. PubMed ID: 38855226
[TBL] [Abstract][Full Text] [Related]
20. Deep learning based automatic diagnosis of first-episode psychosis, bipolar disorder and healthy controls.
Li Z; Li W; Wei Y; Gui G; Zhang R; Liu H; Chen Y; Jiang Y
Comput Med Imaging Graph; 2021 Apr; 89():101882. PubMed ID: 33684730
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]