BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

136 related articles for article (PubMed ID: 37831587)

  • 1. Out-of-distribution detection with in-distribution voting using the medical example of chest x-ray classification.
    Wollek A; Willem T; Ingrisch M; Sabel B; Lasser T
    Med Phys; 2024 Apr; 51(4):2721-2732. PubMed ID: 37831587
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Out-of-Distribution Detection Algorithms for Robust Insect Classification.
    Saadati M; Balu A; Chiranjeevi S; Jubery TZ; Singh AK; Sarkar S; Singh A; Ganapathysubramanian B
    Plant Phenomics; 2024; 6():0170. PubMed ID: 38699404
    [TBL] [Abstract][Full Text] [Related]  

  • 3. FRODO: An In-Depth Analysis of a System to Reject Outlier Samples From a Trained Neural Network.
    Calli E; Van Ginneken B; Sogancioglu E; Murphy K
    IEEE Trans Med Imaging; 2023 Apr; 42(4):971-981. PubMed ID: 36374875
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A radiomics-boosted deep-learning model for COVID-19 and non-COVID-19 pneumonia classification using chest x-ray images.
    Hu Z; Yang Z; Lafata KJ; Yin FF; Wang C
    Med Phys; 2022 May; 49(5):3213-3222. PubMed ID: 35263458
    [TBL] [Abstract][Full Text] [Related]  

  • 5. CheSS: Chest X-Ray Pre-trained Model via Self-supervised Contrastive Learning.
    Cho K; Kim KD; Nam Y; Jeong J; Kim J; Choi C; Lee S; Lee JS; Woo S; Hong GS; Seo JB; Kim N
    J Digit Imaging; 2023 Jun; 36(3):902-910. PubMed ID: 36702988
    [TBL] [Abstract][Full Text] [Related]  

  • 6. MLR-OOD: A Markov Chain Based Likelihood Ratio Method for Out-Of-Distribution Detection of Genomic Sequences.
    Bai X; Ren J; Sun F
    J Mol Biol; 2022 Aug; 434(15):167586. PubMed ID: 35427634
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Investigation of out-of-distribution detection across various models and training methodologies.
    Kim BC; Kim B; Hyun Y
    Neural Netw; 2024 Jul; 175():106288. PubMed ID: 38599136
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Fast and Accurate Detection of COVID-19 Along With 14 Other Chest Pathologies Using a Multi-Level Classification: Algorithm Development and Validation Study.
    Albahli S; Yar GNAH
    J Med Internet Res; 2021 Feb; 23(2):e23693. PubMed ID: 33529154
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Deep Transfer Learning with Enhanced Feature Fusion for Detection of Abnormalities in X-ray Images.
    Alammar Z; Alzubaidi L; Zhang J; Li Y; Lafta W; Gu Y
    Cancers (Basel); 2023 Aug; 15(15):. PubMed ID: 37568821
    [TBL] [Abstract][Full Text] [Related]  

  • 10. CheXNet and feature pyramid network: a fusion deep learning architecture for multilabel chest X-Ray clinical diagnoses classification.
    Hasanah U; Avian C; Darmawan JT; Bachroin N; Faisal M; Prakosa SW; Leu JS; Tsai CT
    Int J Cardiovasc Imaging; 2024 Apr; 40(4):709-722. PubMed ID: 38150139
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Development and validation of bone-suppressed deep learning classification of COVID-19 presentation in chest radiographs.
    Lam NFD; Sun H; Song L; Yang D; Zhi S; Ren G; Chou PH; Wan SBN; Wong MFE; Chan KK; Tsang HCH; Kong FS; Wáng YXJ; Qin J; Chan LWC; Ying M; Cai J
    Quant Imaging Med Surg; 2022 Jul; 12(7):3917-3931. PubMed ID: 35782269
    [TBL] [Abstract][Full Text] [Related]  

  • 12. From Global to Local: Multi-scale Out-of-distribution Detection.
    Zhang J; Gao L; Hao B; Huang H; Song J; Shen H
    IEEE Trans Image Process; 2023 Nov; PP():. PubMed ID: 37922164
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Effect of a comprehensive deep-learning model on the accuracy of chest x-ray interpretation by radiologists: a retrospective, multireader multicase study.
    Seah JCY; Tang CHM; Buchlak QD; Holt XG; Wardman JB; Aimoldin A; Esmaili N; Ahmad H; Pham H; Lambert JF; Hachey B; Hogg SJF; Johnston BP; Bennett C; Oakden-Rayner L; Brotchie P; Jones CM
    Lancet Digit Health; 2021 Aug; 3(8):e496-e506. PubMed ID: 34219054
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Language model-based labeling of German thoracic radiology reports.
    Wollek A; Haitzer P; Sedlmeyr T; Hyska S; Rueckel J; Sabel BO; Ingrisch M; Lasser T
    Rofo; 2024 Apr; ():. PubMed ID: 38663428
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Deep learning, reusable and problem-based architectures for detection of consolidation on chest X-ray images.
    Behzadi-Khormouji H; Rostami H; Salehi S; Derakhshande-Rishehri T; Masoumi M; Salemi S; Keshavarz A; Gholamrezanezhad A; Assadi M; Batouli A
    Comput Methods Programs Biomed; 2020 Mar; 185():105162. PubMed ID: 31715332
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Chest x-ray automated triage: A semiologic approach designed for clinical implementation, exploiting different types of labels through a combination of four Deep Learning architectures.
    Mosquera C; Diaz FN; Binder F; Rabellino JM; Benitez SE; Beresñak AD; Seehaus A; Ducrey G; Ocantos JA; Luna DR
    Comput Methods Programs Biomed; 2021 Jul; 206():106130. PubMed ID: 34023576
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Robustness to Spurious Correlations Improves Semantic Out-of-Distribution Detection.
    Zhang LH; Ranganath R
    Proc AAAI Conf Artif Intell; 2023 Jun; 37(12):15305-15312. PubMed ID: 38464961
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Performance improvement in multi-label thoracic abnormality classification of chest X-rays with noisy labels.
    Yang M; Tanaka H; Ishida T
    Int J Comput Assist Radiol Surg; 2023 Jan; 18(1):181-189. PubMed ID: 35616775
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Enhancing deep learning based classifiers with inpainting anatomical side markers (L/R markers) for multi-center trials.
    Kim KD; Cho K; Kim M; Lee KH; Lee S; Lee SM; Lee KH; Kim N
    Comput Methods Programs Biomed; 2022 Jun; 220():106705. PubMed ID: 35462346
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.