92 related articles for article (PubMed ID: 33607819)
1. A machine-learning based approach to quantify fine crackles in the diagnosis of interstitial pneumonia: A proof-of-concept study.
Horimasu Y; Ohshimo S; Yamaguchi K; Sakamoto S; Masuda T; Nakashima T; Miyamoto S; Iwamoto H; Fujitaka K; Hamada H; Sadamori T; Shime N; Hattori N
Medicine (Baltimore); 2021 Feb; 100(7):e24738. PubMed ID: 33607819
[TBL] [Abstract][Full Text] [Related]
2. Usefulness of Quantification and Serial Monitoring of Fine Crackles for Early Detection of Treatment-related Lung Injury: A Report of Two Cases.
Nakamoto K; Horimasu Y; Yamaguchi K; Sakamoto S; Masuda T; Miyamoto S; Nakashima T; Iwamoto H; Ohshimo S; Sadamori T; Fujitaka K; Hamada H; Shime N; Hattori N
Intern Med; 2024 Jun; 63(12):1783-1787. PubMed ID: 37866919
[TBL] [Abstract][Full Text] [Related]
3. Computed tomography machine learning classifier correlates with mortality in interstitial lung disease.
Moran-Mendoza O; Singla A; Kalra A; Muelly M; Reicher JJ
Respir Investig; 2024 Jul; 62(4):670-676. PubMed ID: 38772191
[TBL] [Abstract][Full Text] [Related]
4. Inspiratory crackles-early and late-revisited: identifying COPD by crackle characteristics.
Melbye H; Aviles Solis JC; Jácome C; Pasterkamp H
BMJ Open Respir Res; 2021 Mar; 8(1):. PubMed ID: 33674283
[TBL] [Abstract][Full Text] [Related]
5. Exploring the link between a novel approach for computer aided lung sound analysis and imaging biomarkers: a cross-sectional study.
Lauwers E; Stas T; McLane I; Snoeckx A; Van Hoorenbeeck K; De Backer W; Ides K; Steckel J; Verhulst S
Respir Res; 2024 Apr; 25(1):177. PubMed ID: 38658980
[TBL] [Abstract][Full Text] [Related]
6. Recent Advancements in Computed Tomography Assessment of Fibrotic Interstitial Lung Diseases.
Suman G; Koo CW
J Thorac Imaging; 2023 Nov; 38(Suppl 1):S7-S18. PubMed ID: 37015833
[TBL] [Abstract][Full Text] [Related]
7. The Importance of Imaging in the Assessment of Interstitial Lung Diseases.
Sneider MB; Kershaw CD
J Thorac Imaging; 2023 Nov; 38(Suppl 1):S2-S6. PubMed ID: 37294708
[TBL] [Abstract][Full Text] [Related]
8. Towards the adoption of quantitative computed tomography in the management of interstitial lung disease.
Walsh SLF; De Backer J; Prosch H; Langs G; Calandriello L; Cottin V; Brown KK; Inoue Y; Tzilas V; Estes E;
Eur Respir Rev; 2024 Jan; 33(171):. PubMed ID: 38537949
[TBL] [Abstract][Full Text] [Related]
9. The role of lung ultrasound and ultrasound elastography in diagnosis of interstitial lung diseases.
Abdullayeva Z; Aydoğdu M; Öztürk E; Yilmaz Demirci N; Türktaş HŞ; Köktürk N
Tuberk Toraks; 2024 Jun; 72(2):95-106. PubMed ID: 38869201
[TBL] [Abstract][Full Text] [Related]
10. A Novel Automatic Algorithm to Support Lung Ultrasound Non-Expert Physicians in Interstitial Pneumonia Evaluation: A Single-Center Study.
Marozzi MS; Cicco S; Mancini F; Corvasce F; Lombardi FA; Desantis V; Loponte L; Giliberti T; Morelli CM; Longo S; Lauletta G; Solimando AG; Ria R; Vacca A
Diagnostics (Basel); 2024 Jan; 14(2):. PubMed ID: 38248032
[TBL] [Abstract][Full Text] [Related]
11. Imaging in the diagnosis and management of fibrosing interstitial lung diseases.
Lederer C; Storman M; Tarnoki AD; Tarnoki DL; Margaritopoulos GA; Prosch H
Breathe (Sheff); 2024 Mar; 20(1):240006. PubMed ID: 38746908
[TBL] [Abstract][Full Text] [Related]
12. A machine learning approach to the development and prospective evaluation of a pediatric lung sound classification model.
Park JS; Kim K; Kim JH; Choi YJ; Kim K; Suh DI
Sci Rep; 2023 Jan; 13(1):1289. PubMed ID: 36690658
[TBL] [Abstract][Full Text] [Related]
13. Lung Auscultation of Hospitalized Patients with SARS-CoV-2 Pneumonia via a Wireless Stethoscope.
Zhang P; Wang B; Liu Y; Fan M; Ji Y; Xu H; Xu M; Chen S; Li Q; Zhang Z
Int J Med Sci; 2021; 18(6):1415-1422. PubMed ID: 33628098
[No Abstract] [Full Text] [Related]
14. Unwrapping the phase portrait features of adventitious crackle for auscultation and classification: a machine learning approach.
Sreejyothi S; Renjini A; Raj V; Swapna MNS; Sankararaman SI
J Biol Phys; 2021 Jun; 47(2):103-115. PubMed ID: 33905049
[TBL] [Abstract][Full Text] [Related]
15. Idiopathic Pulmonary Fibrosis Complicated by Adenocarcinoma and Organizing Pneumonia.
Inutsuka Y; Yanagihara T; Matsumoto K; Yoneda R; Hashisako M; Ogo N; Asoh T; Maeyama T
Cureus; 2022 Jan; 14(1):e20916. PubMed ID: 35004080
[TBL] [Abstract][Full Text] [Related]
16. Idiopathic Pulmonary Fibrosis Incidentally Detected by Computed Tomography Scan as Interstitial Lung Abnormalities.
Bando T; Takei R; Fukihara J; Sasano H; Yamano Y; Yokoyama T; Matsuda T; Kataoka K; Kimura T; Fukuoka J; Hatabu H; Johkoh T; Kondoh Y
Ann Am Thorac Soc; 2024 Jun; 21(6):983-985. PubMed ID: 38498902
[No Abstract] [Full Text] [Related]
17. Pilot study on nocturnal monitoring of crackles in children with pneumonia.
Nikolaizik W; Wuensch L; Bauck M; Gross V; Sohrabi K; Weissflog A; Hildebrandt O; Koehler U; Weber S
ERJ Open Res; 2021 Oct; 7(4):. PubMed ID: 34853781
[TBL] [Abstract][Full Text] [Related]
18. Constrained Synthetic Sampling for Augmentation of Crackle Lung Sounds.
Kala A; Elhilali M
Annu Int Conf IEEE Eng Med Biol Soc; 2023 Jul; 2023():1-5. PubMed ID: 38083624
[TBL] [Abstract][Full Text] [Related]
19. High-Resolution Computer Tomography Image Features of Lungs for Patients with Type 2 Diabetes under the Faster-Region Recurrent Convolutional Neural Network Algorithm.
He Y; Tan J; Han X
Comput Math Methods Med; 2022; 2022():4147365. PubMed ID: 35509859
[TBL] [Abstract][Full Text] [Related]
20. An open auscultation dataset for machine learning-based respiratory diagnosis studies.
Zhou G; Liu C; Li X; Liang S; Wang R; Huang X
JASA Express Lett; 2024 May; 4(5):. PubMed ID: 38717466
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
