9 Results for All Library Resources
Sorted by:
Sorted by:
RelevanceOr hit Enter to replace sort method
- Relevance
- Date-newest
- Date-oldest
- Popularity
- Author
- Title
Show only
| Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
|---|---|---|---|
| 1 |
Material Type: Article
|
|
Arterial stiffness and COVID‐19: A bidirectional cause‐effect relationshipThe journal of clinical hypertension (Greenwich, Conn.), 2021-06, Vol.23 (6), p.1099-1103 [Peer Reviewed Journal]2021 The Authors. published by Wiley Periodicals LLC. ;2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1524-6175 ;EISSN: 1751-7176 ;DOI: 10.1111/jch.14259 ;PMID: 33951308Full text available |
| 2 |
Material Type: Article
|
|
First person - Li WangDisease models & mechanisms, 2021-11, Vol.14 (11) [Peer Reviewed Journal]2021. Published by The Company of Biologists Ltd. ;2021. This work is licensed under https://creativecommons.org/licenses/by/4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2021. Published by The Company of Biologists Ltd 2021 ;ISSN: 1754-8403 ;EISSN: 1754-8411 ;DOI: 10.1242/dmm.049322 ;PMID: 34762124Full text available |
| 3 |
Material Type: Article
|
|
Manipulation of ACE2 expression in COVID-19Open heart, 2020-12, Vol.7 (2), p.e001424 [Peer Reviewed Journal]Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. ;2020 Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ . Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. 2021 ;ISSN: 2053-3624 ;ISSN: 2398-595X ;EISSN: 2053-3624 ;DOI: 10.1136/openhrt-2020-001424 ;PMID: 33443121Full text available |
| 4 |
Material Type: Article
|
|
Heart failure management at home: a non-randomised prospective case–controlled trial (HeMan at Home)Open heart, 2023-12, Vol.10 (2), p.e002371 [Peer Reviewed Journal]Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. ;2023 Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ . Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. 2023 ;ISSN: 2053-3624 ;ISSN: 2398-595X ;EISSN: 2053-3624 ;DOI: 10.1136/openhrt-2023-002371 ;PMID: 38065589Full text available |
| 5 |
Material Type: Article
|
|
Improving Fairness of Automated Chest X-ray Diagnosis by Contrastive LearningarXiv.org, 2024-012024. This work is published under http://creativecommons.org/publicdomain/zero/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/publicdomain/zero/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2401.15111Full text available |
| 6 |
Material Type: Article
|
|
Vision Transformer using Low-level Chest X-ray Feature Corpus for COVID-19 Diagnosis and Severity QuantificationarXiv.org, 2021-042021. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2104.07235Full text available |
| 7 |
Material Type: Article
|
|
Deep Learning-based Four-region Lung Segmentation in Chest Radiography for COVID-19 DiagnosisarXiv.org, 2020-092020. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2009.12610Full text available |
| 8 |
Material Type: Article
|
|
MobileCaps: A Lightweight Model for Screening and Severity Analysis of COVID-19 Chest X-Ray ImagesarXiv.org, 2021-082021. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2108.08775Full text available |
| 9 |
Material Type: Article
|
|
Automatic Detection of Coronavirus Disease (COVID-19) in X-ray and CT Images: A Machine Learning-Based ApproacharXiv.org, 2020-042020. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2004.10641Full text available |
Personalize your results
Refine Search Results
Expand My Results
Show only
Subject
- Covid-19 (6)
- Computer Science - Computer Vision And Pattern Recognition (5)
- Coronaviruses (5)
- Computer Science - Learning (4)
- Medical Imaging (4)
- Life Sciences & Biomedicine (4)
- Science & Technology (4)
- Chest (3)
- Diagnosis (3)
- Datasets (3)
- Cardiovascular System & Cardiology (3)
- Pneumonia (3)
- Disease Transmission (3)
- Feature Extraction (3)
- Pandemics (3)
- Humans (3)
- Animals (2)
- Blood Pressure (2)
- Abnormalities (2)
-
More options
Databases
- ProQuest Central (9)
- Freely Accessible Journals (9)
- ROAD: Directory of Open Access Scholarly Resources (8)
- arXiv.org (5)
- PubMed Central (4)
- DOAJ Directory of Open Access Journals (4)
- HighWire Press (Free Journals) (3)
- MEDLINE (3)
- GFMER Free Medical Journals (2)
- BMJ Open Access Journals (2)
- Wiley-Blackwell Open Access Titles (1)
-
More options
Journal Title
- Arxiv (3)
- arXiv.org (5)
- Disease Models & Mechanisms (1)
- Open Heart (2)
- The Journal Of Clinical Hypertension (1)
-
More options
|
||||
 |
INSPIRE LIBRARY - TON DUC THANG UNIVERSITY |  |
(84-028) 37 755 057 | Feedback |
| 19 Nguyen Huu Tho St. Dist.7, HCM |  |
thuvien@tdtu.edu.vn | ||