BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

273 related articles for article (PubMed ID: 36685715)

  • 1. SynthEye: Investigating the Impact of Synthetic Data on Artificial Intelligence-assisted Gene Diagnosis of Inherited Retinal Disease.
    Veturi YA; Woof W; Lazebnik T; Moghul I; Woodward-Court P; Wagner SK; Cabral de Guimarães TA; Daich Varela M; Liefers B; Patel PJ; Beck S; Webster AR; Mahroo O; Keane PA; Michaelides M; Balaskas K; Pontikos N
    Ophthalmol Sci; 2023 Jun; 3(2):100258. PubMed ID: 36685715
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Synthetic Medical Images for Robust, Privacy-Preserving Training of Artificial Intelligence: Application to Retinopathy of Prematurity Diagnosis.
    Coyner AS; Chen JS; Chang K; Singh P; Ostmo S; Chan RVP; Chiang MF; Kalpathy-Cramer J; Campbell JP;
    Ophthalmol Sci; 2022 Jun; 2(2):100126. PubMed ID: 36249693
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Assessment of Deep Generative Models for High-Resolution Synthetic Retinal Image Generation of Age-Related Macular Degeneration.
    Burlina PM; Joshi N; Pacheco KD; Liu TYA; Bressler NM
    JAMA Ophthalmol; 2019 Mar; 137(3):258-264. PubMed ID: 30629091
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Deepfakes in Ophthalmology: Applications and Realism of Synthetic Retinal Images from Generative Adversarial Networks.
    Chen JS; Coyner AS; Chan RVP; Hartnett ME; Moshfeghi DM; Owen LA; Kalpathy-Cramer J; Chiang MF; Campbell JP
    Ophthalmol Sci; 2021 Dec; 1(4):100079. PubMed ID: 36246951
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Assessment of Generative Adversarial Networks Model for Synthetic Optical Coherence Tomography Images of Retinal Disorders.
    Zheng C; Xie X; Zhou K; Chen B; Chen J; Ye H; Li W; Qiao T; Gao S; Yang J; Liu J
    Transl Vis Sci Technol; 2020 May; 9(2):29. PubMed ID: 32832202
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Deep Learning-Based Classification of Inherited Retinal Diseases Using Fundus Autofluorescence.
    Miere A; Le Meur T; Bitton K; Pallone C; Semoun O; Capuano V; Colantuono D; Taibouni K; Chenoune Y; Astroz P; Berlemont S; Petit E; Souied E
    J Clin Med; 2020 Oct; 9(10):. PubMed ID: 33066661
    [No Abstract]   [Full Text] [Related]  

  • 7. Synthetic artificial intelligence using generative adversarial network for retinal imaging in detection of age-related macular degeneration.
    Wang Z; Lim G; Ng WY; Tan TE; Lim J; Lim SH; Foo V; Lim J; Sinisterra LG; Zheng F; Liu N; Tan GSW; Cheng CY; Cheung GCM; Wong TY; Ting DSW
    Front Med (Lausanne); 2023; 10():1184892. PubMed ID: 37425325
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Deep Learning for the Diagnosis of Stage in Retinopathy of Prematurity: Accuracy and Generalizability across Populations and Cameras.
    Chen JS; Coyner AS; Ostmo S; Sonmez K; Bajimaya S; Pradhan E; Valikodath N; Cole ED; Al-Khaled T; Chan RVP; Singh P; Kalpathy-Cramer J; Chiang MF; Campbell JP
    Ophthalmol Retina; 2021 Oct; 5(10):1027-1035. PubMed ID: 33561545
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Assessment of Generative Adversarial Networks for Synthetic Anterior Segment Optical Coherence Tomography Images in Closed-Angle Detection.
    Zheng C; Bian F; Li L; Xie X; Liu H; Liang J; Chen X; Wang Z; Qiao T; Yang J; Zhang M
    Transl Vis Sci Technol; 2021 Apr; 10(4):34. PubMed ID: 34004012
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Generative adversarial network based synthetic data training model for lightweight convolutional neural networks.
    Rather IH; Kumar S
    Multimed Tools Appl; 2023 May; ():1-23. PubMed ID: 37362646
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A deep learning model for generating fundus autofluorescence images from color fundus photography.
    Song F; Zhang W; Zheng Y; Shi D; He M
    Adv Ophthalmol Pract Res; 2023; 3(4):192-198. PubMed ID: 38059165
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Evaluation of Generative Adversarial Networks for High-Resolution Synthetic Image Generation of Circumpapillary Optical Coherence Tomography Images for Glaucoma.
    Sreejith Kumar AJ; Chong RS; Crowston JG; Chua J; Bujor I; Husain R; Vithana EN; Girard MJA; Ting DSW; Cheng CY; Aung T; Popa-Cherecheanu A; Schmetterer L; Wong D
    JAMA Ophthalmol; 2022 Oct; 140(10):974-981. PubMed ID: 36048435
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Can artificial intelligence accelerate the diagnosis of inherited retinal diseases? Protocol for a data-only retrospective cohort study (Eye2Gene).
    Nguyen Q; Woof W; Kabiri N; Sen S; Daich Varela M; Cabral De Guimaraes TA; Shah M; Sumodhee D; Moghul I; Al-Khuzaei S; Liu Y; Hollyhead C; Tailor B; Lobo L; Veal C; Archer S; Furman J; Arno G; Gomes M; Fujinami K; Madhusudhan S; Mahroo OA; Webster AR; Balaskas K; Downes SM; Michaelides M; Pontikos N;
    BMJ Open; 2023 Mar; 13(3):e071043. PubMed ID: 36940949
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Deep learning detects genetic alterations in cancer histology generated by adversarial networks.
    Krause J; Grabsch HI; Kloor M; Jendrusch M; Echle A; Buelow RD; Boor P; Luedde T; Brinker TJ; Trautwein C; Pearson AT; Quirke P; Jenniskens J; Offermans K; van den Brandt PA; Kather JN
    J Pathol; 2021 May; 254(1):70-79. PubMed ID: 33565124
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Combating COVID-19 Using Generative Adversarial Networks and Artificial Intelligence for Medical Images: Scoping Review.
    Ali H; Shah Z
    JMIR Med Inform; 2022 Jun; 10(6):e37365. PubMed ID: 35709336
    [TBL] [Abstract][Full Text] [Related]  

  • 16. AI vs. AI: Can AI Detect AI-Generated Images?
    Baraheem SS; Nguyen TV
    J Imaging; 2023 Sep; 9(10):. PubMed ID: 37888306
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Deep learning-based classification of retinal atrophy using fundus autofluorescence imaging.
    Miere A; Capuano V; Kessler A; Zambrowski O; Jung C; Colantuono D; Pallone C; Semoun O; Petit E; Souied E
    Comput Biol Med; 2021 Mar; 130():104198. PubMed ID: 33383315
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Creating High Fidelity Synthetic Pelvis Radiographs Using Generative Adversarial Networks: Unlocking the Potential of Deep Learning Models Without Patient Privacy Concerns.
    Khosravi B; Rouzrokh P; Mickley JP; Faghani S; Larson AN; Garner HW; Howe BM; Erickson BJ; Taunton MJ; Wyles CC
    J Arthroplasty; 2023 Oct; 38(10):2037-2043.e1. PubMed ID: 36535448
    [TBL] [Abstract][Full Text] [Related]  

  • 19. High-content image generation for drug discovery using generative adversarial networks.
    Hussain S; Anees A; Das A; Nguyen BP; Marzuki M; Lin S; Wright G; Singhal A
    Neural Netw; 2020 Dec; 132():353-363. PubMed ID: 32977280
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Improving breast mass classification by shared data with domain transformation using a generative adversarial network.
    Muramatsu C; Nishio M; Goto T; Oiwa M; Morita T; Yakami M; Kubo T; Togashi K; Fujita H
    Comput Biol Med; 2020 Apr; 119():103698. PubMed ID: 32339129
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.