129 related articles for article (PubMed ID: 36772135)
1. Multi-Class Classification and Multi-Output Regression of Three-Dimensional Objects Using Artificial Intelligence Applied to Digital Holographic Information.
Mahesh R N U; Nelleri A
Sensors (Basel); 2023 Jan; 23(3):. PubMed ID: 36772135
[TBL] [Abstract][Full Text] [Related]
2. Towards real-time photorealistic 3D holography with deep neural networks.
Shi L; Li B; Kim C; Kellnhofer P; Matusik W
Nature; 2021 Mar; 591(7849):234-239. PubMed ID: 33692557
[TBL] [Abstract][Full Text] [Related]
3. Classification of Holograms with 3D-CNN.
Terbe D; Orzó L; Zarándy Á
Sensors (Basel); 2022 Oct; 22(21):. PubMed ID: 36366064
[TBL] [Abstract][Full Text] [Related]
4. Fast acquisition system for digital holograms and image processing for three-dimensional display with data manipulation.
Matoba O; Hosoi K; Nitta K; Yoshimura T
Appl Opt; 2006 Dec; 45(35):8945-50. PubMed ID: 17119595
[TBL] [Abstract][Full Text] [Related]
5. Plankton classification with high-throughput submersible holographic microscopy and transfer learning.
MacNeil L; Missan S; Luo J; Trappenberg T; LaRoche J
BMC Ecol Evol; 2021 Jun; 21(1):123. PubMed ID: 34134620
[TBL] [Abstract][Full Text] [Related]
6. Comprehensive deep learning model for 3D color holography.
Yolalmaz A; Yüce E
Sci Rep; 2022 Feb; 12(1):2487. PubMed ID: 35169161
[TBL] [Abstract][Full Text] [Related]
7. A novel ground truth multispectral image dataset with weight, anthocyanins, and Brix index measures of grape berries tested for its utility in machine learning pipelines.
Navarro PJ; Miller L; Díaz-Galián MV; Gila-Navarro A; Aguila DJ; Egea-Cortines M
Gigascience; 2022 Jun; 11():. PubMed ID: 35701377
[TBL] [Abstract][Full Text] [Related]
8. Transfer of Learning from Vision to Touch: A Hybrid Deep Convolutional Neural Network for Visuo-Tactile 3D Object Recognition.
Rouhafzay G; Cretu AM; Payeur P
Sensors (Basel); 2020 Dec; 21(1):. PubMed ID: 33375400
[TBL] [Abstract][Full Text] [Related]
9. The mathematics of erythema: Development of machine learning models for artificial intelligence assisted measurement and severity scoring of radiation induced dermatitis.
Ranjan R; Partl R; Erhart R; Kurup N; Schnidar H
Comput Biol Med; 2021 Dec; 139():104952. PubMed ID: 34739967
[TBL] [Abstract][Full Text] [Related]
10. DTV-CNN: Neural network based on depth and thickness views for efficient 3D shape classification.
Xia Q
Heliyon; 2023 Nov; 9(11):e21515. PubMed ID: 38027921
[TBL] [Abstract][Full Text] [Related]
11. Deep Learning-Based Cataract Detection and Grading from Slit-Lamp and Retro-Illumination Photographs: Model Development and Validation Study.
Son KY; Ko J; Kim E; Lee SY; Kim MJ; Han J; Shin E; Chung TY; Lim DH
Ophthalmol Sci; 2022 Jun; 2(2):100147. PubMed ID: 36249697
[TBL] [Abstract][Full Text] [Related]
12. An increasing number of convolutional neural networks for fracture recognition and classification in orthopaedics : are these externally validated and ready for clinical application?
Oliveira E Carmo L; van den Merkhof A; Olczak J; Gordon M; Jutte PC; Jaarsma RL; IJpma FFA; Doornberg JN; Prijs J;
Bone Jt Open; 2021 Oct; 2(10):879-885. PubMed ID: 34669518
[TBL] [Abstract][Full Text] [Related]
13. Artificial intelligence (AI) diagnostic tools: utilizing a convolutional neural network (CNN) to assess periodontal bone level radiographically-a retrospective study.
Alotaibi G; Awawdeh M; Farook FF; Aljohani M; Aldhafiri RM; Aldhoayan M
BMC Oral Health; 2022 Sep; 22(1):399. PubMed ID: 36100856
[TBL] [Abstract][Full Text] [Related]
14. Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts.
Haggenmüller S; Maron RC; Hekler A; Utikal JS; Barata C; Barnhill RL; Beltraminelli H; Berking C; Betz-Stablein B; Blum A; Braun SA; Carr R; Combalia M; Fernandez-Figueras MT; Ferrara G; Fraitag S; French LE; Gellrich FF; Ghoreschi K; Goebeler M; Guitera P; Haenssle HA; Haferkamp S; Heinzerling L; Heppt MV; Hilke FJ; Hobelsberger S; Krahl D; Kutzner H; Lallas A; Liopyris K; Llamas-Velasco M; Malvehy J; Meier F; Müller CSL; Navarini AA; Navarrete-Dechent C; Perasole A; Poch G; Podlipnik S; Requena L; Rotemberg VM; Saggini A; Sangueza OP; Santonja C; Schadendorf D; Schilling B; Schlaak M; Schlager JG; Sergon M; Sondermann W; Soyer HP; Starz H; Stolz W; Vale E; Weyers W; Zink A; Krieghoff-Henning E; Kather JN; von Kalle C; Lipka DB; Fröhling S; Hauschild A; Kittler H; Brinker TJ
Eur J Cancer; 2021 Oct; 156():202-216. PubMed ID: 34509059
[TBL] [Abstract][Full Text] [Related]
15. Non-invasive multi-channel deep learning convolutional neural networks for localization and classification of common hepatic lesions.
Shah S; Mishra R; Szczurowska A; Guziński M
Pol J Radiol; 2021; 86():e440-e448. PubMed ID: 34429791
[TBL] [Abstract][Full Text] [Related]
16. Fast and accurate 3D object recognition directly from digital holograms.
Seifi M; Denis L; Fournier C
J Opt Soc Am A Opt Image Sci Vis; 2013 Nov; 30(11):2216-24. PubMed ID: 24322918
[TBL] [Abstract][Full Text] [Related]
17. fMRI volume classification using a 3D convolutional neural network robust to shifted and scaled neuronal activations.
Vu H; Kim HC; Jung M; Lee JH
Neuroimage; 2020 Dec; 223():117328. PubMed ID: 32896633
[TBL] [Abstract][Full Text] [Related]
18. Recognition and classification of three-dimensional phase objects by digital Fresnel holography.
Nelleri A; Joseph J; Singh K
Appl Opt; 2006 Jun; 45(17):4046-53. PubMed ID: 16761044
[TBL] [Abstract][Full Text] [Related]
19. Artificial image objects for classification of schizophrenia with GWAS-selected SNVs and convolutional neural network.
Chen X; Chen DG; Zhao Z; Zhan J; Ji C; Chen J
Patterns (N Y); 2021 Aug; 2(8):100303. PubMed ID: 34430925
[TBL] [Abstract][Full Text] [Related]
20. Transfer learning using a multi-scale and multi-network ensemble for skin lesion classification.
Mahbod A; Schaefer G; Wang C; Dorffner G; Ecker R; Ellinger I
Comput Methods Programs Biomed; 2020 Sep; 193():105475. PubMed ID: 32268255
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
