266 related articles for article (PubMed ID: 34372758)
41. Feasibility of Image Registration for Ultrasound-Guided Prostate Radiotherapy Based on Similarity Measurement by a Convolutional Neural Network.
Zhu N; Najafi M; Han B; Hancock S; Hristov D
Technol Cancer Res Treat; 2019 Jan; 18():1533033818821964. PubMed ID: 30803364
[TBL] [Abstract][Full Text] [Related]
42. Classification of lung adenocarcinoma transcriptome subtypes from pathological images using deep convolutional networks.
Antonio VAA; Ono N; Saito A; Sato T; Altaf-Ul-Amin M; Kanaya S
Int J Comput Assist Radiol Surg; 2018 Dec; 13(12):1905-1913. PubMed ID: 30159833
[TBL] [Abstract][Full Text] [Related]
43. An iterative multi-path fully convolutional neural network for automatic cardiac segmentation in cine MR images.
Ma Z; Wu X; Wang X; Song Q; Yin Y; Cao K; Wang Y; Zhou J
Med Phys; 2019 Dec; 46(12):5652-5665. PubMed ID: 31605627
[TBL] [Abstract][Full Text] [Related]
44. Facetto: Combining Unsupervised and Supervised Learning for Hierarchical Phenotype Analysis in Multi-Channel Image Data.
Krueger R; Beyer J; Jang WD; Kim NW; Sokolov A; Sorger PK; Pfister H
IEEE Trans Vis Comput Graph; 2020 Jan; 26(1):227-237. PubMed ID: 31514138
[TBL] [Abstract][Full Text] [Related]
45. TIST: Transcriptome and Histopathological Image Integrative Analysis for Spatial Transcriptomics.
Shan Y; Zhang Q; Guo W; Wu Y; Miao Y; Xin H; Lian Q; Gu J
Genomics Proteomics Bioinformatics; 2022 Oct; 20(5):974-988. PubMed ID: 36549467
[TBL] [Abstract][Full Text] [Related]
46. Vitiligo blood transcriptomics provides new insights into disease mechanisms and identifies potential novel therapeutic targets.
Dey-Rao R; Sinha AA
BMC Genomics; 2017 Jan; 18(1):109. PubMed ID: 28129744
[TBL] [Abstract][Full Text] [Related]
47. STAMarker: determining spatial domain-specific variable genes with saliency maps in deep learning.
Zhang C; Dong K; Aihara K; Chen L; Zhang S
Nucleic Acids Res; 2023 Nov; 51(20):e103. PubMed ID: 37811885
[TBL] [Abstract][Full Text] [Related]
48. SCAN-IT: Domain segmentation of spatial transcriptomics images by graph neural network.
Cang Z; Ning X; Nie A; Xu M; Zhang J
BMVC; 2021 Nov; 32():. PubMed ID: 36227018
[TBL] [Abstract][Full Text] [Related]
49. Inferring the Disease-Associated miRNAs Based on Network Representation Learning and Convolutional Neural Networks.
Xuan P; Sun H; Wang X; Zhang T; Pan S
Int J Mol Sci; 2019 Jul; 20(15):. PubMed ID: 31349729
[TBL] [Abstract][Full Text] [Related]
50. Morphological Features Extracted by AI Associated with Spatial Transcriptomics in Prostate Cancer.
Chelebian E; Avenel C; Kartasalo K; Marklund M; Tanoglidi A; Mirtti T; Colling R; Erickson A; Lamb AD; Lundeberg J; Wählby C
Cancers (Basel); 2021 Sep; 13(19):. PubMed ID: 34638322
[TBL] [Abstract][Full Text] [Related]
51. Fusion transcript detection using spatial transcriptomics.
Friedrich S; Sonnhammer ELL
BMC Med Genomics; 2020 Aug; 13(1):110. PubMed ID: 32753032
[TBL] [Abstract][Full Text] [Related]
52. PAUSE: principled feature attribution for unsupervised gene expression analysis.
Janizek JD; Spiro A; Celik S; Blue BW; Russell JC; Lee TI; Kaeberlin M; Lee SI
Genome Biol; 2023 Apr; 24(1):81. PubMed ID: 37076856
[TBL] [Abstract][Full Text] [Related]
53. DeepNAT: Deep convolutional neural network for segmenting neuroanatomy.
Wachinger C; Reuter M; Klein T
Neuroimage; 2018 Apr; 170():434-445. PubMed ID: 28223187
[TBL] [Abstract][Full Text] [Related]
54. 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]
55. SOPHIE: Generative Neural Networks Separate Common and Specific Transcriptional Responses.
Lee AJ; Mould DL; Crawford J; Hu D; Powers RK; Doing G; Costello JC; Hogan DA; Greene CS
Genomics Proteomics Bioinformatics; 2022 Oct; 20(5):912-927. PubMed ID: 36216026
[TBL] [Abstract][Full Text] [Related]
56. Benchmarking spatial clustering methods with spatially resolved transcriptomics data.
Yuan Z; Zhao F; Lin S; Zhao Y; Yao J; Cui Y; Zhang XY; Zhao Y
Nat Methods; 2024 Apr; 21(4):712-722. PubMed ID: 38491270
[TBL] [Abstract][Full Text] [Related]
57. Self-Taught convolutional neural networks for short text clustering.
Xu J; Xu B; Wang P; Zheng S; Tian G; Zhao J; Xu B
Neural Netw; 2017 Apr; 88():22-31. PubMed ID: 28157556
[TBL] [Abstract][Full Text] [Related]
58. CNNDLP: A Method Based on Convolutional Autoencoder and Convolutional Neural Network with Adjacent Edge Attention for Predicting lncRNA-Disease Associations.
Xuan P; Sheng N; Zhang T; Liu Y; Guo Y
Int J Mol Sci; 2019 Aug; 20(17):. PubMed ID: 31480319
[TBL] [Abstract][Full Text] [Related]
59. Deep multi-kernel auto-encoder network for clustering brain functional connectivity data.
Lu H; Liu S; Wei H; Chen C; Geng X
Neural Netw; 2021 Mar; 135():148-157. PubMed ID: 33388506
[TBL] [Abstract][Full Text] [Related]
60. Classification of grazing-incidence small-angle X-ray scattering patterns by convolutional neural network.
Ikemoto H; Yamamoto K; Touyama H; Yamashita D; Nakamura M; Okuda H
J Synchrotron Radiat; 2020 Jul; 27(Pt 4):1069-1073. PubMed ID: 33566017
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]