235 related articles for article (PubMed ID: 34892758)
41. 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]
42. Clinical Document Classification Using Labeled and Unlabeled Data Across Hospitals.
Hassanzadeh H; Kholghi M; Nguyen A; Chu K
AMIA Annu Symp Proc; 2018; 2018():545-554. PubMed ID: 30815095
[TBL] [Abstract][Full Text] [Related]
43. A joint cross-dimensional contrastive learning framework for 12-lead ECGs and its heterogeneous deployment on SoC.
Liu W; Zhang H; Chang S; Wang H; He J; Huang Q
Comput Biol Med; 2023 Jan; 152():106390. PubMed ID: 36473340
[TBL] [Abstract][Full Text] [Related]
44. Self-Supervised Learning With Limited Labeled Data for Prostate Cancer Detection in High-Frequency Ultrasound.
Wilson PFR; Gilany M; Jamzad A; Fooladgar F; To MNN; Wodlinger B; Abolmaesumi P; Mousavi P
IEEE Trans Ultrason Ferroelectr Freq Control; 2023 Sep; 70(9):1073-1083. PubMed ID: 37478033
[TBL] [Abstract][Full Text] [Related]
45. GHNN: Graph Harmonic Neural Networks for semi-supervised graph-level classification.
Ju W; Luo X; Ma Z; Yang J; Deng M; Zhang M
Neural Netw; 2022 Jul; 151():70-79. PubMed ID: 35398673
[TBL] [Abstract][Full Text] [Related]
46. Weakly supervised mitosis detection in breast histopathology images using concentric loss.
Li C; Wang X; Liu W; Latecki LJ; Wang B; Huang J
Med Image Anal; 2019 Apr; 53():165-178. PubMed ID: 30798116
[TBL] [Abstract][Full Text] [Related]
47. Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images.
Qu H; Wu P; Huang Q; Yi J; Yan Z; Li K; Riedlinger GM; De S; Zhang S; Metaxas DN
IEEE Trans Med Imaging; 2020 Nov; 39(11):3655-3666. PubMed ID: 32746112
[TBL] [Abstract][Full Text] [Related]
48. Patient contrastive learning: A performant, expressive, and practical approach to electrocardiogram modeling.
Diamant N; Reinertsen E; Song S; Aguirre AD; Stultz CM; Batra P
PLoS Comput Biol; 2022 Feb; 18(2):e1009862. PubMed ID: 35157695
[TBL] [Abstract][Full Text] [Related]
49. Image Quality Assessment Using Contrastive Learning.
Madhusudana PC; Birkbeck N; Wang Y; Adsumilli B; Bovik AC
IEEE Trans Image Process; 2022; 31():4149-4161. PubMed ID: 35700254
[TBL] [Abstract][Full Text] [Related]
50. Multi-class motor imagery EEG classification using collaborative representation-based semi-supervised extreme learning machine.
She Q; Zou J; Luo Z; Nguyen T; Li R; Zhang Y
Med Biol Eng Comput; 2020 Sep; 58(9):2119-2130. PubMed ID: 32676841
[TBL] [Abstract][Full Text] [Related]
51. Exploring semi-supervised variational autoencoders for biomedical relation extraction.
Zhang Y; Lu Z
Methods; 2019 Aug; 166():112-119. PubMed ID: 30822516
[TBL] [Abstract][Full Text] [Related]
52. Interpolation consistency training for semi-supervised learning.
Verma V; Kawaguchi K; Lamb A; Kannala J; Solin A; Bengio Y; Lopez-Paz D
Neural Netw; 2022 Jan; 145():90-106. PubMed ID: 34735894
[TBL] [Abstract][Full Text] [Related]
53. Self-supervised pseudo-colorizing of masked cells.
Wagner R; Lopez CF; Stiller C
PLoS One; 2023; 18(8):e0290561. PubMed ID: 37616272
[TBL] [Abstract][Full Text] [Related]
54. Deep semi-supervised learning ensemble framework for classifying co-mentions of human proteins and phenotypes.
Pourreza Shahri M; Kahanda I
BMC Bioinformatics; 2021 Oct; 22(1):500. PubMed ID: 34656098
[TBL] [Abstract][Full Text] [Related]
55. Compound Figure Separation of Biomedical Images: Mining Large Datasets for Self-supervised Learning.
Yao T; Qu C; Long J; Liu Q; Deng R; Tian Y; Xu J; Jha A; Asad Z; Bao S; Zhao M; Fogo AB; Landman BA; Yang H; Chang C; Huo Y
J Mach Learn Biomed Imaging; 2022 Aug; 1():. PubMed ID: 37077404
[TBL] [Abstract][Full Text] [Related]
56. Robust Semi-Supervised Traffic Sign Recognition via Self-Training and Weakly-Supervised Learning.
Nartey OT; Yang G; Asare SK; Wu J; Frempong LN
Sensors (Basel); 2020 May; 20(9):. PubMed ID: 32397197
[TBL] [Abstract][Full Text] [Related]
57. Co-occurrence balanced time series classification for the semi-supervised recognition of surgical smoke.
Reiter W
Int J Comput Assist Radiol Surg; 2021 Nov; 16(11):2021-2027. PubMed ID: 34032964
[TBL] [Abstract][Full Text] [Related]
58. Self-FI: Self-Supervised Learning for Disease Diagnosis in Fundus Images.
Nguyen TD; Le DT; Bum J; Kim S; Song SJ; Choo H
Bioengineering (Basel); 2023 Sep; 10(9):. PubMed ID: 37760191
[TBL] [Abstract][Full Text] [Related]
59. PathAL: An Active Learning Framework for Histopathology Image Analysis.
Li W; Li J; Wang Z; Polson J; Sisk AE; Sajed DP; Speier W; Arnold CW
IEEE Trans Med Imaging; 2022 May; 41(5):1176-1187. PubMed ID: 34898432
[TBL] [Abstract][Full Text] [Related]
60. Deep Neural Networks With Region-Based Pooling Structures for Mammographic Image Classification.
Shu X; Zhang L; Wang Z; Lv Q; Yi Z
IEEE Trans Med Imaging; 2020 Jun; 39(6):2246-2255. PubMed ID: 31985411
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
