150 related articles for article (PubMed ID: 38074779)
1. Patient Reidentification from Chest Radiographs: An Interpretable Deep Metric Learning Approach and Its Applications.
Macpherson MS; Hutchinson CE; Horst C; Goh V; Montana G
Radiol Artif Intell; 2023 Nov; 5(6):e230019. PubMed ID: 38074779
[TBL] [Abstract][Full Text] [Related]
2. Deep Learning Systems for Pneumothorax Detection on Chest Radiographs: A Multicenter External Validation Study.
Thian YL; Ng D; Hallinan JTPD; Jagmohan P; Sia SY; Tan CH; Ting YH; Kei PL; Pulickal GG; Tiong VTY; Quek ST; Feng M
Radiol Artif Intell; 2021 Jul; 3(4):e200190. PubMed ID: 34350409
[TBL] [Abstract][Full Text] [Related]
3. Performance and Usability of Code-Free Deep Learning for Chest Radiograph Classification, Object Detection, and Segmentation.
Santomartino SM; Hafezi-Nejad N; Parekh VS; Yi PH
Radiol Artif Intell; 2023 Mar; 5(2):e220062. PubMed ID: 37035428
[TBL] [Abstract][Full Text] [Related]
4. Automated detection of moderate and large pneumothorax on frontal chest X-rays using deep convolutional neural networks: A retrospective study.
Taylor AG; Mielke C; Mongan J
PLoS Med; 2018 Nov; 15(11):e1002697. PubMed ID: 30457991
[TBL] [Abstract][Full Text] [Related]
5. Deep learning prediction of sex on chest radiographs: a potential contributor to biased algorithms.
Li D; Lin CT; Sulam J; Yi PH
Emerg Radiol; 2022 Apr; 29(2):365-370. PubMed ID: 35006495
[TBL] [Abstract][Full Text] [Related]
6. Visual Transformers and Convolutional Neural Networks for Disease Classification on Radiographs: A Comparison of Performance, Sample Efficiency, and Hidden Stratification.
Murphy ZR; Venkatesh K; Sulam J; Yi PH
Radiol Artif Intell; 2022 Nov; 4(6):e220012. PubMed ID: 36523640
[TBL] [Abstract][Full Text] [Related]
7. Generalizable Inter-Institutional Classification of Abnormal Chest Radiographs Using Efficient Convolutional Neural Networks.
Pan I; Agarwal S; Merck D
J Digit Imaging; 2019 Oct; 32(5):888-896. PubMed ID: 30838482
[TBL] [Abstract][Full Text] [Related]
8. Chest Radiograph Interpretation with Deep Learning Models: Assessment with Radiologist-adjudicated Reference Standards and Population-adjusted Evaluation.
Majkowska A; Mittal S; Steiner DF; Reicher JJ; McKinney SM; Duggan GE; Eswaran K; Cameron Chen PH; Liu Y; Kalidindi SR; Ding A; Corrado GS; Tse D; Shetty S
Radiology; 2020 Feb; 294(2):421-431. PubMed ID: 31793848
[TBL] [Abstract][Full Text] [Related]
9. The Subgroup Imperative: Chest Radiograph Classifier Generalization Gaps in Patient, Setting, and Pathology Subgroups.
Ahluwalia M; Abdalla M; Sanayei J; Seyyed-Kalantari L; Hussain M; Ali A; Fine B
Radiol Artif Intell; 2023 Sep; 5(5):e220270. PubMed ID: 37795140
[TBL] [Abstract][Full Text] [Related]
10. Rethinking Annotation Granularity for Overcoming Shortcuts in Deep Learning-based Radiograph Diagnosis: A Multicenter Study.
Luo L; Chen H; Xiao Y; Zhou Y; Wang X; Vardhanabhuti V; Wu M; Han C; Liu Z; Fang XHB; Tsougenis E; Lin H; Heng PA
Radiol Artif Intell; 2022 Sep; 4(5):e210299. PubMed ID: 36204545
[TBL] [Abstract][Full Text] [Related]
11. Anonymizing Radiographs Using an Object Detection Deep Learning Algorithm.
Khosravi B; Mickley JP; Rouzrokh P; Taunton MJ; Larson AN; Erickson BJ; Wyles CC
Radiol Artif Intell; 2023 Nov; 5(6):e230085. PubMed ID: 38074777
[TBL] [Abstract][Full Text] [Related]
12. Chest X-ray-based opportunistic screening of sarcopenia using deep learning.
Ryu J; Eom S; Kim HC; Kim CO; Rhee Y; You SC; Hong N
J Cachexia Sarcopenia Muscle; 2023 Feb; 14(1):418-428. PubMed ID: 36457204
[TBL] [Abstract][Full Text] [Related]
13. A promising approach for screening pulmonary hypertension based on frontal chest radiographs using deep learning: A retrospective study.
Zou XL; Ren Y; Feng DY; He XQ; Guo YF; Yang HL; Li X; Fang J; Li Q; Ye JJ; Han LQ; Zhang TT
PLoS One; 2020; 15(7):e0236378. PubMed ID: 32706807
[TBL] [Abstract][Full Text] [Related]
14. Deep multi-instance transfer learning for pneumothorax classification in chest X-ray images.
Tian Y; Wang J; Yang W; Wang J; Qian D
Med Phys; 2022 Jan; 49(1):231-243. PubMed ID: 34802144
[TBL] [Abstract][Full Text] [Related]
15. Comparison of Chest Radiograph Interpretations by Artificial Intelligence Algorithm vs Radiology Residents.
Wu JT; Wong KCL; Gur Y; Ansari N; Karargyris A; Sharma A; Morris M; Saboury B; Ahmad H; Boyko O; Syed A; Jadhav A; Wang H; Pillai A; Kashyap S; Moradi M; Syeda-Mahmood T
JAMA Netw Open; 2020 Oct; 3(10):e2022779. PubMed ID: 33034642
[TBL] [Abstract][Full Text] [Related]
16. Thorax-Net: An Attention Regularized Deep Neural Network for Classification of Thoracic Diseases on Chest Radiography.
Wang H; Jia H; Lu L; Xia Y
IEEE J Biomed Health Inform; 2020 Feb; 24(2):475-485. PubMed ID: 31329567
[TBL] [Abstract][Full Text] [Related]
17. A semi-supervised learning-based quality evaluation system for digital chest radiographs.
Wei S; Qiu R; Pu Y; Hu A; Niu Y; Wu Z; Zhang H; Li J
Med Phys; 2023 Nov; 50(11):6789-6800. PubMed ID: 37543992
[TBL] [Abstract][Full Text] [Related]
18. Assessment of Convolutional Neural Networks for Automated Classification of Chest Radiographs.
Dunnmon JA; Yi D; Langlotz CP; Ré C; Rubin DL; Lungren MP
Radiology; 2019 Feb; 290(2):537-544. PubMed ID: 30422093
[TBL] [Abstract][Full Text] [Related]
19. Refining dataset curation methods for deep learning-based automated tuberculosis screening.
Kim TK; Yi PH; Hager GD; Lin CT
J Thorac Dis; 2020 Sep; 12(9):5078-5085. PubMed ID: 33145084
[TBL] [Abstract][Full Text] [Related]
20. Simplified Transfer Learning for Chest Radiography Models Using Less Data.
Sellergren AB; Chen C; Nabulsi Z; Li Y; Maschinot A; Sarna A; Huang J; Lau C; Kalidindi SR; Etemadi M; Garcia-Vicente F; Melnick D; Liu Y; Eswaran K; Tse D; Beladia N; Krishnan D; Shetty S
Radiology; 2022 Nov; 305(2):454-465. PubMed ID: 35852426
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]