135 related articles for article (PubMed ID: 37015445)
21. Federated Learning in Medical Imaging: Part II: Methods, Challenges, and Considerations.
Darzidehkalani E; Ghasemi-Rad M; van Ooijen PMA
J Am Coll Radiol; 2022 Aug; 19(8):975-982. PubMed ID: 35483437
[TBL] [Abstract][Full Text] [Related]
22. An Efficient Semi-Supervised Framework with Multi-Task and Curriculum Learning for Medical Image Segmentation.
Wang K; Wang Y; Zhan B; Yang Y; Zu C; Wu X; Zhou J; Nie D; Zhou L
Int J Neural Syst; 2022 Sep; 32(9):2250043. PubMed ID: 35912583
[TBL] [Abstract][Full Text] [Related]
23. Boosted federated learning based on improved Particle Swarm Optimization for healthcare IoT devices.
Houssein EH; Sayed A
Comput Biol Med; 2023 Sep; 163():107195. PubMed ID: 37393788
[TBL] [Abstract][Full Text] [Related]
24. FaxMatch: Multi-Curriculum Pseudo-Labeling for semi-supervised medical image classification.
Peng Z; Zhang D; Tian S; Wu W; Yu L; Zhou S; Huang S
Med Phys; 2023 May; 50(5):3210-3222. PubMed ID: 36779849
[TBL] [Abstract][Full Text] [Related]
25. Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results.
Li X; Gu Y; Dvornek N; Staib LH; Ventola P; Duncan JS
Med Image Anal; 2020 Oct; 65():101765. PubMed ID: 32679533
[TBL] [Abstract][Full Text] [Related]
26. 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]
27. Contrastive encoder pre-training-based clustered federated learning for heterogeneous data.
Tun YL; Nguyen MNH; Thwal CM; Choi J; Hong CS
Neural Netw; 2023 Aug; 165():689-704. PubMed ID: 37385023
[TBL] [Abstract][Full Text] [Related]
28. Semi-supervised learning for medical image classification using imbalanced training data.
Huynh T; Nibali A; He Z
Comput Methods Programs Biomed; 2022 Apr; 216():106628. PubMed ID: 35101700
[TBL] [Abstract][Full Text] [Related]
29. Blockchain and homomorphic encryption based privacy-preserving model aggregation for medical images.
Kumar R; Kumar J; Khan AA; Zakria ; Ali H; Bernard CM; Khan RU; Zeng S
Comput Med Imaging Graph; 2022 Dec; 102():102139. PubMed ID: 36395604
[TBL] [Abstract][Full Text] [Related]
30. A semi-supervised multi-task learning framework for cancer classification with weak annotation in whole-slide images.
Gao Z; Hong B; Li Y; Zhang X; Wu J; Wang C; Zhang X; Gong T; Zheng Y; Meng D; Li C
Med Image Anal; 2023 Jan; 83():102652. PubMed ID: 36327654
[TBL] [Abstract][Full Text] [Related]
31. Securing federated learning with blockchain: a systematic literature review.
Qammar A; Karim A; Ning H; Ding J
Artif Intell Rev; 2023; 56(5):3951-3985. PubMed ID: 36160367
[TBL] [Abstract][Full Text] [Related]
32. Semi-Supervised Learning for Multi-Label Cardiovascular Diseases Prediction: A Multi-Dataset Study.
Zhou R; Lu L; Liu Z; Xiang T; Liang Z; Clifton DA; Dong Y; Zhang YT
IEEE Trans Pattern Anal Mach Intell; 2024 May; 46(5):3305-3320. PubMed ID: 38096090
[TBL] [Abstract][Full Text] [Related]
33. Exploring personalization via federated representation Learning on non-IID data.
Jing C; Huang Y; Zhuang Y; Sun L; Xiao Z; Huang Y; Ding X
Neural Netw; 2023 Jun; 163():354-366. PubMed ID: 37099898
[TBL] [Abstract][Full Text] [Related]
34. Federated Learning for Multicenter Collaboration in Ophthalmology: Improving Classification Performance in Retinopathy of Prematurity.
Lu C; Hanif A; Singh P; Chang K; Coyner AS; Brown JM; Ostmo S; Chan RVP; Rubin D; Chiang MF; Campbell JP; Kalpathy-Cramer J;
Ophthalmol Retina; 2022 Aug; 6(8):657-663. PubMed ID: 35296449
[TBL] [Abstract][Full Text] [Related]
35. One model to unite them all: Personalized federated learning of multi-contrast MRI synthesis.
Dalmaz O; Mirza MU; Elmas G; Ozbey M; Dar SUH; Ceyani E; Oguz KK; Avestimehr S; Çukur T
Med Image Anal; 2024 May; 94():103121. PubMed ID: 38402791
[TBL] [Abstract][Full Text] [Related]
36. MMVFL: A Simple Vertical Federated Learning Framework for Multi-Class Multi-Participant Scenarios.
Feng S; Yu H; Zhu Y
Sensors (Basel); 2024 Jan; 24(2):. PubMed ID: 38257712
[TBL] [Abstract][Full Text] [Related]
37. A modality-collaborative convolution and transformer hybrid network for unpaired multi-modal medical image segmentation with limited annotations.
Liu H; Zhuang Y; Song E; Xu X; Ma G; Cetinkaya C; Hung CC
Med Phys; 2023 Sep; 50(9):5460-5478. PubMed ID: 36864700
[TBL] [Abstract][Full Text] [Related]
38. Efficient Combination of CNN and Transformer for Dual-Teacher Uncertainty-guided Semi-supervised Medical Image Segmentation.
Xiao Z; Su Y; Deng Z; Zhang W
Comput Methods Programs Biomed; 2022 Nov; 226():107099. PubMed ID: 36116398
[TBL] [Abstract][Full Text] [Related]
39. 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]
40.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Previous] [Next] [New Search]
