162 related articles for article (PubMed ID: 36085881)
1. Benchmarking Self-Supervised Representation Learning from a million Cardiac Ultrasound images.
Anand D; Annangi P; Sudhakar P
Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():529-532. PubMed ID: 36085881
[TBL] [Abstract][Full Text] [Related]
2. ReFs: A hybrid pre-training paradigm for 3D medical image segmentation.
Xie Y; Zhang J; Liu L; Wang H; Ye Y; Verjans J; Xia Y
Med Image Anal; 2024 Jan; 91():103023. PubMed ID: 37956551
[TBL] [Abstract][Full Text] [Related]
3. Self-supervised driven consistency training for annotation efficient histopathology image analysis.
Srinidhi CL; Kim SW; Chen FD; Martel AL
Med Image Anal; 2022 Jan; 75():102256. PubMed ID: 34717189
[TBL] [Abstract][Full Text] [Related]
4. Enhancing diagnostic deep learning via self-supervised pretraining on large-scale, unlabeled non-medical images.
Tayebi Arasteh S; Misera L; Kather JN; Truhn D; Nebelung S
Eur Radiol Exp; 2024 Feb; 8(1):10. PubMed ID: 38326501
[TBL] [Abstract][Full Text] [Related]
5. Benchmarking Supervised and Self-Supervised Learning Methods in A Large Ultrasound Muti-task Images Dataset.
Liu P; Zhang J; Wu X; Liu S; Wang Y; Feng L; Diao Y; Liu Z; Lyu G; Chen Y
IEEE J Biomed Health Inform; 2024 Mar; PP():. PubMed ID: 38536687
[TBL] [Abstract][Full Text] [Related]
6. Cluster-based histopathology phenotype representation learning by self-supervised multi-class-token hierarchical ViT.
Ye J; Kalra S; Miri MS
Sci Rep; 2024 Feb; 14(1):3202. PubMed ID: 38331955
[TBL] [Abstract][Full Text] [Related]
7. A Systematic Benchmarking Analysis of Transfer Learning for Medical Image Analysis.
Hosseinzadeh Taher MR; Haghighi F; Feng R; Gotway MB; Liang J
Domain Adapt Represent Transf Afford Healthc AI Resour Divers Glob Health (2021); 2021; 12968():3-13. PubMed ID: 35713581
[TBL] [Abstract][Full Text] [Related]
8. Self-supervised learning for automated anatomical tracking in medical image data with minimal human labeling effort.
Frueh M; Kuestner T; Nachbar M; Thorwarth D; Schilling A; Gatidis S
Comput Methods Programs Biomed; 2022 Oct; 225():107085. PubMed ID: 36044801
[TBL] [Abstract][Full Text] [Related]
9. Contrastive rendering with semi-supervised learning for ovary and follicle segmentation from 3D ultrasound.
Yang X; Li H; Wang Y; Liang X; Chen C; Zhou X; Zeng F; Fang J; Frangi A; Chen Z; Ni D
Med Image Anal; 2021 Oct; 73():102134. PubMed ID: 34246847
[TBL] [Abstract][Full Text] [Related]
10. Using self-supervised feature learning to improve the use of pulse oximeter signals to predict paediatric hospitalization.
Mwaniki P; Kamanu T; Akech S; Dunsmuir D; Ansermino JM; Eijkemans MJC
Wellcome Open Res; 2021; 6():248. PubMed ID: 37346816
[No Abstract] [Full Text] [Related]
11. Pyramid-based self-supervised learning for histopathological image classification.
Wang J; Quan H; Wang C; Yang G
Comput Biol Med; 2023 Oct; 165():107336. PubMed ID: 37708715
[TBL] [Abstract][Full Text] [Related]
12. Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging.
Yan R; Qu L; Wei Q; Huang SC; Shen L; Rubin DL; Xing L; Zhou Y
IEEE Trans Med Imaging; 2023 Jul; 42(7):1932-1943. PubMed ID: 37018314
[TBL] [Abstract][Full Text] [Related]
13. Applying Self-Supervised Representation Learning for Emotion Recognition Using Physiological Signals.
Montero Quispe KG; Utyiama DMS; Dos Santos EM; Oliveira HABF; Souto EJP
Sensors (Basel); 2022 Nov; 22(23):. PubMed ID: 36501803
[TBL] [Abstract][Full Text] [Related]
14. Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification.
Marini N; Otálora S; Müller H; Atzori M
Med Image Anal; 2021 Oct; 73():102165. PubMed ID: 34303169
[TBL] [Abstract][Full Text] [Related]
15. Self-supervised maize kernel classification and segmentation for embryo identification.
Dong D; Nagasubramanian K; Wang R; Frei UK; Jubery TZ; Lübberstedt T; Ganapathysubramanian B
Front Plant Sci; 2023; 14():1108355. PubMed ID: 37123832
[TBL] [Abstract][Full Text] [Related]
16. A self-supervised fusion network for carotid plaque ultrasound image classification.
Zhang Y; Gan H; Wang F; Cheng X; Wu X; Yan J; Yang Z; Zhou R
Math Biosci Eng; 2024 Jan; 21(2):3110-3128. PubMed ID: 38454721
[TBL] [Abstract][Full Text] [Related]
17. SSL++: Improving Self-Supervised Learning by Mitigating the Proxy Task-Specificity Problem.
Chen S; Xue JH; Chang J; Zhang J; Yang J; Tian Q
IEEE Trans Image Process; 2022; 31():1134-1148. PubMed ID: 34932477
[TBL] [Abstract][Full Text] [Related]
18. Exploring simple triplet representation learning.
Ren Z; Lan Q; Zhang Y; Wang S
Comput Struct Biotechnol J; 2024 Dec; 23():1510-1521. PubMed ID: 38633386
[TBL] [Abstract][Full Text] [Related]
19. Contrastive self-supervised learning from 100 million medical images with optional supervision.
Ghesu FC; Georgescu B; Mansoor A; Yoo Y; Neumann D; Patel P; Vishwanath RS; Balter JM; Cao Y; Grbic S; Comaniciu D
J Med Imaging (Bellingham); 2022 Nov; 9(6):064503. PubMed ID: 36466078
[TBL] [Abstract][Full Text] [Related]
20. Self-supervised learning for medical image analysis using image context restoration.
Chen L; Bentley P; Mori K; Misawa K; Fujiwara M; Rueckert D
Med Image Anal; 2019 Dec; 58():101539. PubMed ID: 31374449
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
