Multi-level multi-type self-generated knowledge fusion for cardiac ultrasound segmentation
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Multi-level multi-type self-generated knowledge fusion for cardiac ultrasound segmentation
Authors
Keywords
-
Journal
Information Fusion
Volume 92, Issue -, Pages 1-12
Publisher
Elsevier BV
Online
2022-11-15
DOI
10.1016/j.inffus.2022.11.004
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Shadow-consistent Semi-supervised Learning for Prostate Ultrasound Segmentation
- (2022) Xuanang Xu et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Contrastive learning based self-supervised time-series analysis
- (2022) Johannes Pöppelbaum et al. APPLIED SOFT COMPUTING
- Deep contrastive learning based tissue clustering for annotation-free histopathology image analysis
- (2022) Jiangpeng Yan et al. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
- Self-Supervised Representation Learning: Introduction, advances, and challenges
- (2022) Linus Ericsson et al. IEEE SIGNAL PROCESSING MAGAZINE
- Polar transform network for prostate ultrasound segmentation with uncertainty estimation
- (2022) Xuanang Xu et al. MEDICAL IMAGE ANALYSIS
- Augmented Semi-Supervised Learning for Salient Object Detection with Edge Computing
- (2022) Chengjin Yu et al. IEEE WIRELESS COMMUNICATIONS
- Machine Learning and the Future of Cardiovascular Care
- (2021) Giorgio Quer et al. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
- Developing a BERT based triple classification model using knowledge graph embedding for question answering system
- (2021) Phuc Do et al. APPLIED INTELLIGENCE
- Two-stage image segmentation based on nonconvex ℓ2−ℓp approximation and thresholding
- (2021) Tingting Wu et al. APPLIED MATHEMATICS AND COMPUTATION
- Multi-level semantic adaptation for few-shot segmentation on cardiac image sequences
- (2021) Saidi Guo et al. MEDICAL IMAGE ANALYSIS
- Exploring DeshuffleGANs in Self-Supervised Generative Adversarial Networks
- (2021) Gulcin Baykal et al. PATTERN RECOGNITION
- Learning multi-level structural information for small organ segmentation
- (2021) Yueyun Liu et al. SIGNAL PROCESSING
- The Role of Artificial Intelligence in Echocardiography
- (2020) Karthik Seetharam et al. Current Cardiology Reports
- Models Genesis
- (2020) Zongwei Zhou et al. MEDICAL IMAGE ANALYSIS
- Deep pyramid local attention neural network for cardiac structure segmentation in two-dimensional echocardiography
- (2020) Fei Liu et al. MEDICAL IMAGE ANALYSIS
- Multitask Learning for Estimating Multitype Cardiac Indices in MRI and CT Based on Adversarial Reverse Mapping
- (2020) Chengjin Yu et al. IEEE Transactions on Neural Networks and Learning Systems
- ACCURACY AND REPRODUCIBILITY OF A NOVEL ARTIFICIAL INTELLIGENCE DEEP LEARNING-BASED ALGORITHM FOR AUTOMATED CALCULATION OF EJECTION FRACTION IN ECHOCARDIOGRAPHY
- (2019) Federico M. Asch et al. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
- Direct delineation of myocardial infarction without contrast agents using a joint motion feature learning architecture
- (2018) Chenchu Xu et al. MEDICAL IMAGE ANALYSIS
- Recommendations for Cardiac Chamber Quantification by Echocardiography in Adults: An Update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging
- (2015) Roberto M. Lang et al. JOURNAL OF THE AMERICAN SOCIETY OF ECHOCARDIOGRAPHY
- TurboPixels: Fast Superpixels Using Geometric Flows
- (2009) A. Levinshtein et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now