BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

169 related articles for article (PubMed ID: 34943603)

  • 1. COVLIAS 1.0 vs. MedSeg: Artificial Intelligence-Based Comparative Study for Automated COVID-19 Computed Tomography Lung Segmentation in Italian and Croatian Cohorts.
    Suri JS; Agarwal S; Carriero A; Paschè A; Danna PSC; Columbu M; Saba L; Viskovic K; Mehmedović A; Agarwal S; Gupta L; Faa G; Singh IM; Turk M; Chadha PS; Johri AM; Khanna NN; Mavrogeni S; Laird JR; Pareek G; Miner M; Sobel DW; Balestrieri A; Sfikakis PP; Tsoulfas G; Protogerou A; Misra DP; Agarwal V; Kitas GD; Teji JS; Al-Maini M; Dhanjil SK; Nicolaides A; Sharma A; Rathore V; Fatemi M; Alizad A; Krishnan PR; Nagy F; Ruzsa Z; Gupta A; Naidu S; Paraskevas KI; Kalra MK
    Diagnostics (Basel); 2021 Dec; 11(12):. PubMed ID: 34943603
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Multicenter Study on COVID-19 Lung Computed Tomography Segmentation with varying Glass Ground Opacities using Unseen Deep Learning Artificial Intelligence Paradigms: COVLIAS 1.0 Validation.
    Suri JS; Agarwal S; Saba L; Chabert GL; Carriero A; Paschè A; Danna P; Mehmedović A; Faa G; Jujaray T; Singh IM; Khanna NN; Laird JR; Sfikakis PP; Agarwal V; Teji JS; R Yadav R; Nagy F; Kincses ZT; Ruzsa Z; Viskovic K; Kalra MK
    J Med Syst; 2022 Aug; 46(10):62. PubMed ID: 35988110
    [TBL] [Abstract][Full Text] [Related]  

  • 3. COVLIAS 1.0: Lung Segmentation in COVID-19 Computed Tomography Scans Using Hybrid Deep Learning Artificial Intelligence Models.
    Suri JS; Agarwal S; Pathak R; Ketireddy V; Columbu M; Saba L; Gupta SK; Faa G; Singh IM; Turk M; Chadha PS; Johri AM; Khanna NN; Viskovic K; Mavrogeni S; Laird JR; Pareek G; Miner M; Sobel DW; Balestrieri A; Sfikakis PP; Tsoulfas G; Protogerou A; Misra DP; Agarwal V; Kitas GD; Teji JS; Al-Maini M; Dhanjil SK; Nicolaides A; Sharma A; Rathore V; Fatemi M; Alizad A; Krishnan PR; Frence N; Ruzsa Z; Gupta A; Naidu S; Kalra M
    Diagnostics (Basel); 2021 Aug; 11(8):. PubMed ID: 34441340
    [TBL] [Abstract][Full Text] [Related]  

  • 4. COVLIAS 1.0
    Suri JS; Agarwal S; Chabert GL; Carriero A; Paschè A; Danna PSC; Saba L; Mehmedović A; Faa G; Singh IM; Turk M; Chadha PS; Johri AM; Khanna NN; Mavrogeni S; Laird JR; Pareek G; Miner M; Sobel DW; Balestrieri A; Sfikakis PP; Tsoulfas G; Protogerou AD; Misra DP; Agarwal V; Kitas GD; Teji JS; Al-Maini M; Dhanjil SK; Nicolaides A; Sharma A; Rathore V; Fatemi M; Alizad A; Krishnan PR; Nagy F; Ruzsa Z; Fouda MM; Naidu S; Viskovic K; Kalra MK
    Diagnostics (Basel); 2022 May; 12(5):. PubMed ID: 35626438
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0.
    Agarwal M; Agarwal S; Saba L; Chabert GL; Gupta S; Carriero A; Pasche A; Danna P; Mehmedovic A; Faa G; Shrivastava S; Jain K; Jain H; Jujaray T; Singh IM; Turk M; Chadha PS; Johri AM; Khanna NN; Mavrogeni S; Laird JR; Sobel DW; Miner M; Balestrieri A; Sfikakis PP; Tsoulfas G; Misra DP; Agarwal V; Kitas GD; Teji JS; Al-Maini M; Dhanjil SK; Nicolaides A; Sharma A; Rathore V; Fatemi M; Alizad A; Krishnan PR; Yadav RR; Nagy F; Kincses ZT; Ruzsa Z; Naidu S; Viskovic K; Kalra MK; Suri JS
    Comput Biol Med; 2022 Jul; 146():105571. PubMed ID: 35751196
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Inter-Variability Study of COVLIAS 1.0: Hybrid Deep Learning Models for COVID-19 Lung Segmentation in Computed Tomography.
    Suri JS; Agarwal S; Elavarthi P; Pathak R; Ketireddy V; Columbu M; Saba L; Gupta SK; Faa G; Singh IM; Turk M; Chadha PS; Johri AM; Khanna NN; Viskovic K; Mavrogeni S; Laird JR; Pareek G; Miner M; Sobel DW; Balestrieri A; Sfikakis PP; Tsoulfas G; Protogerou A; Misra DP; Agarwal V; Kitas GD; Teji JS; Al-Maini M; Dhanjil SK; Nicolaides A; Sharma A; Rathore V; Fatemi M; Alizad A; Krishnan PR; Ferenc N; Ruzsa Z; Gupta A; Naidu S; Kalra MK
    Diagnostics (Basel); 2021 Nov; 11(11):. PubMed ID: 34829372
    [No Abstract]   [Full Text] [Related]  

  • 7. COVLIAS 2.0-cXAI: Cloud-Based Explainable Deep Learning System for COVID-19 Lesion Localization in Computed Tomography Scans.
    Suri JS; Agarwal S; Chabert GL; Carriero A; Paschè A; Danna PSC; Saba L; Mehmedović A; Faa G; Singh IM; Turk M; Chadha PS; Johri AM; Khanna NN; Mavrogeni S; Laird JR; Pareek G; Miner M; Sobel DW; Balestrieri A; Sfikakis PP; Tsoulfas G; Protogerou AD; Misra DP; Agarwal V; Kitas GD; Teji JS; Al-Maini M; Dhanjil SK; Nicolaides A; Sharma A; Rathore V; Fatemi M; Alizad A; Krishnan PR; Nagy F; Ruzsa Z; Fouda MM; Naidu S; Viskovic K; Kalra MK
    Diagnostics (Basel); 2022 Jun; 12(6):. PubMed ID: 35741292
    [TBL] [Abstract][Full Text] [Related]  

  • 8. SAA-UNet: Spatial Attention and Attention Gate UNet for COVID-19 Pneumonia Segmentation from Computed Tomography.
    Alshomrani S; Arif M; Al Ghamdi MA
    Diagnostics (Basel); 2023 May; 13(9):. PubMed ID: 37175049
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Assessment of COVID-19 lung involvement on computed tomography by deep-learning-, threshold-, and human reader-based approaches-an international, multi-center comparative study.
    Fervers P; Fervers F; Jaiswal A; Rinneburger M; Weisthoff M; Pollmann-Schweckhorst P; Kottlors J; Carolus H; Lennartz S; Maintz D; Shahzad R; Persigehl T
    Quant Imaging Med Surg; 2022 Nov; 12(11):5156-5170. PubMed ID: 36330188
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Using Artificial Intelligence for Automatic Segmentation of CT Lung Images in Acute Respiratory Distress Syndrome.
    Herrmann P; Busana M; Cressoni M; Lotz J; Moerer O; Saager L; Meissner K; Quintel M; Gattinoni L
    Front Physiol; 2021; 12():676118. PubMed ID: 34594233
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Hybrid deep learning segmentation models for atherosclerotic plaque in internal carotid artery B-mode ultrasound.
    Jain PK; Sharma N; Giannopoulos AA; Saba L; Nicolaides A; Suri JS
    Comput Biol Med; 2021 Sep; 136():104721. PubMed ID: 34371320
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A hybrid deep learning paradigm for carotid plaque tissue characterization and its validation in multicenter cohorts using a supercomputer framework.
    Skandha SS; Nicolaides A; Gupta SK; Koppula VK; Saba L; Johri AM; Kalra MS; Suri JS
    Comput Biol Med; 2022 Feb; 141():105131. PubMed ID: 34922173
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Computer vision applied to dual-energy computed tomography images for precise calcinosis cutis quantification in patients with systemic sclerosis.
    Chandrasekaran AC; Fu Z; Kraniski R; Wilson FP; Teaw S; Cheng M; Wang A; Ren S; Omar IM; Hinchcliff ME
    Arthritis Res Ther; 2021 Jan; 23(1):6. PubMed ID: 33407814
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Software system to predict the infection in COVID-19 patients using deep learning and web of things.
    Singh A; Kaur A; Dhillon A; Ahuja S; Vohra H
    Softw Pract Exp; 2022 Apr; 52(4):868-886. PubMed ID: 34538962
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Ensemble Deep Learning Derived from Transfer Learning for Classification of COVID-19 Patients on Hybrid Deep-Learning-Based Lung Segmentation: A Data Augmentation and Balancing Framework.
    Dubey AK; Chabert GL; Carriero A; Pasche A; Danna PSC; Agarwal S; Mohanty L; Nillmani ; Sharma N; Yadav S; Jain A; Kumar A; Kalra MK; Sobel DW; Laird JR; Singh IM; Singh N; Tsoulfas G; Fouda MM; Alizad A; Kitas GD; Khanna NN; Viskovic K; Kukuljan M; Al-Maini M; El-Baz A; Saba L; Suri JS
    Diagnostics (Basel); 2023 Jun; 13(11):. PubMed ID: 37296806
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Automatic lung segmentation in functional SPECT images using active shape models trained on reference lung shapes from CT.
    Cheimariotis GA; Al-Mashat M; Haris K; Aletras AH; Jögi J; Bajc M; Maglaveras N; Heiberg E
    Ann Nucl Med; 2018 Feb; 32(2):94-104. PubMed ID: 29236220
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A computational pipeline for quantification of pulmonary infections in small animal models using serial PET-CT imaging.
    Bagci U; Foster B; Miller-Jaster K; Luna B; Dey B; Bishai WR; Jonsson CB; Jain S; Mollura DJ
    EJNMMI Res; 2013 Jul; 3(1):55. PubMed ID: 23879987
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Two-stage deep learning model for fully automated pancreas segmentation on computed tomography: Comparison with intra-reader and inter-reader reliability at full and reduced radiation dose on an external dataset.
    Panda A; Korfiatis P; Suman G; Garg SK; Polley EC; Singh DP; Chari ST; Goenka AH
    Med Phys; 2021 May; 48(5):2468-2481. PubMed ID: 33595105
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Artificial Intelligence for Fast and Accurate 3-Dimensional Tooth Segmentation on Cone-beam Computed Tomography.
    Lahoud P; EzEldeen M; Beznik T; Willems H; Leite A; Van Gerven A; Jacobs R
    J Endod; 2021 May; 47(5):827-835. PubMed ID: 33434565
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Segmentation and classification of lungs CT-scan for detecting COVID-19 abnormalities by deep learning technique: U-Net model.
    Moosavi AS; Mahboobi A; Arabzadeh F; Ramezani N; Moosavi HS; Mehrpoor G
    J Family Med Prim Care; 2024 Feb; 13(2):691-698. PubMed ID: 38605799
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.