150 related articles for article (PubMed ID: 35626392)
1. Self-Supervised Learning Methods for Label-Efficient Dental Caries Classification.
Taleb A; Rohrer C; Bergner B; De Leon G; Rodrigues JA; Schwendicke F; Lippert C; Krois J
Diagnostics (Basel); 2022 May; 12(5):. PubMed ID: 35626392
[TBL] [Abstract][Full Text] [Related]
2. Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation.
Chaitanya K; Erdil E; Karani N; Konukoglu E
Med Image Anal; 2023 Jul; 87():102792. PubMed ID: 37054649
[TBL] [Abstract][Full Text] [Related]
3. A Self Supervised StyleGAN for Image Annotation and Classification With Extremely Limited Labels.
Cohen Hochberg D; Greenspan H; Giryes R
IEEE Trans Med Imaging; 2022 Dec; 41(12):3509-3519. PubMed ID: 35767509
[TBL] [Abstract][Full Text] [Related]
4. Dental caries detection using a semi-supervised learning approach.
Qayyum A; Tahir A; Butt MA; Luke A; Abbas HT; Qadir J; Arshad K; Assaleh K; Imran MA; Abbasi QH
Sci Rep; 2023 Jan; 13(1):749. PubMed ID: 36639724
[TBL] [Abstract][Full Text] [Related]
5. Weakly Semi-supervised phenotyping using Electronic Health records.
Nogues IE; Wen J; Lin Y; Liu M; Tedeschi SK; Geva A; Cai T; Hong C
J Biomed Inform; 2022 Oct; 134():104175. PubMed ID: 36064111
[TBL] [Abstract][Full Text] [Related]
6. Self-Supervised Feature Learning and Phenotyping for Assessing Age-Related Macular Degeneration Using Retinal Fundus Images.
Yellapragada B; Hornauer S; Snyder K; Yu S; Yiu G
Ophthalmol Retina; 2022 Feb; 6(2):116-129. PubMed ID: 34217854
[TBL] [Abstract][Full Text] [Related]
7. Deep semi-supervised multiple instance learning with self-correction for DME classification from OCT images.
Wang X; Tang F; Chen H; Cheung CY; Heng PA
Med Image Anal; 2023 Jan; 83():102673. PubMed ID: 36403310
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Self-Path: Self-Supervision for Classification of Pathology Images With Limited Annotations.
Koohbanani NA; Unnikrishnan B; Khurram SA; Krishnaswamy P; Rajpoot N
IEEE Trans Med Imaging; 2021 Oct; 40(10):2845-2856. PubMed ID: 33523807
[TBL] [Abstract][Full Text] [Related]
10. Semi Supervised Learning with Deep Embedded Clustering for Image Classification and Segmentation.
Enguehard J; O'Halloran P; Gholipour A
IEEE Access; 2019; 7():11093-11104. PubMed ID: 31588387
[TBL] [Abstract][Full Text] [Related]
11. DARC: Deep adaptive regularized clustering for histopathological image classification.
Li J; Liu J; Yue H; Cheng J; Kuang H; Bai H; Wang Y; Wang J
Med Image Anal; 2022 Aug; 80():102521. PubMed ID: 35780594
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Semi-Supervised Deep Learning Using Pseudo Labels for Hyperspectral Image Classification.
Hao Wu ; Prasad S
IEEE Trans Image Process; 2018 Mar; 27(3):1259-1270. PubMed ID: 29990156
[TBL] [Abstract][Full Text] [Related]
14. Evaluation of Effectiveness of Self-Supervised Learning in Chest X-Ray Imaging to Reduce Annotated Images.
Imagawa K; Shiomoto K
J Imaging Inform Med; 2024 Mar; ():. PubMed ID: 38459399
[TBL] [Abstract][Full Text] [Related]
15. Uncovering the structure of clinical EEG signals with self-supervised learning.
Banville H; Chehab O; Hyvärinen A; Engemann DA; Gramfort A
J Neural Eng; 2021 Mar; 18(4):. PubMed ID: 33181507
[No Abstract] [Full Text] [Related]
16. Weakly supervised segmentation on neural compressed histopathology with self-equivariant regularization.
Chikontwe P; Jung Sung H; Jeong J; Kim M; Go H; Jeong Nam S; Hyun Park S
Med Image Anal; 2022 Aug; 80():102482. PubMed ID: 35688048
[TBL] [Abstract][Full Text] [Related]
17. Contrastive Multiple Instance Learning: An Unsupervised Framework for Learning Slide-Level Representations of Whole Slide Histopathology Images without Labels.
Tavolara TE; Gurcan MN; Niazi MKK
Cancers (Basel); 2022 Nov; 14(23):. PubMed ID: 36497258
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation.
Wang G; Luo X; Gu R; Yang S; Qu Y; Zhai S; Zhao Q; Li K; Zhang S
Comput Methods Programs Biomed; 2023 Apr; 231():107398. PubMed ID: 36773591
[TBL] [Abstract][Full Text] [Related]
20. Self-supervised learning for remote sensing scene classification under the few shot scenario.
Alosaimi N; Alhichri H; Bazi Y; Ben Youssef B; Alajlan N
Sci Rep; 2023 Jan; 13(1):433. PubMed ID: 36624136
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
