144 related articles for article (PubMed ID: 36960342)
1. Data augmentation and multimodal learning for predicting drug response in patient-derived xenografts from gene expressions and histology images.
Partin A; Brettin T; Zhu Y; Dolezal JM; Kochanny S; Pearson AT; Shukla M; Evrard YA; Doroshow JH; Stevens RL
Front Med (Lausanne); 2023; 10():1058919. PubMed ID: 36960342
[TBL] [Abstract][Full Text] [Related]
2. Survival Prediction via Hierarchical Multimodal Co-Attention Transformer: A Computational Histology-Radiology Solution.
Li Z; Jiang Y; Lu M; Li R; Xia Y
IEEE Trans Med Imaging; 2023 Sep; 42(9):2678-2689. PubMed ID: 37030860
[TBL] [Abstract][Full Text] [Related]
3. Learning curves for drug response prediction in cancer cell lines.
Partin A; Brettin T; Evrard YA; Zhu Y; Yoo H; Xia F; Jiang S; Clyde A; Shukla M; Fonstein M; Doroshow JH; Stevens RL
BMC Bioinformatics; 2021 May; 22(1):252. PubMed ID: 34001007
[TBL] [Abstract][Full Text] [Related]
4. GPDRP: a multimodal framework for drug response prediction with graph transformer.
Yang Y; Li P
BMC Bioinformatics; 2023 Dec; 24(1):484. PubMed ID: 38105227
[TBL] [Abstract][Full Text] [Related]
5. Multimodal Co-attention Fusion Network with Online Data Augmentation for Cancer Subtype Classification.
Ding S; Li J; Wang J; Ying S; Shi J
IEEE Trans Med Imaging; 2024 May; PP():. PubMed ID: 38801690
[TBL] [Abstract][Full Text] [Related]
6. A conventional-to-spectral CT image translation augmentation workflow for robust contrast injection-independent organ segmentation.
Lartaud PJ; Dupont C; Hallé D; Schleef A; Dessouky R; Vlachomitrou AS; Rouet JM; Nempont O; Boussel L
Med Phys; 2022 Feb; 49(2):1108-1122. PubMed ID: 34689353
[TBL] [Abstract][Full Text] [Related]
7. PPsNet: An improved deep learning model for microsatellite instability high prediction in colorectal cancer from whole slide images.
Lou J; Xu J; Zhang Y; Sun Y; Fang A; Liu J; Mur LAJ; Ji B
Comput Methods Programs Biomed; 2022 Oct; 225():107095. PubMed ID: 36057226
[TBL] [Abstract][Full Text] [Related]
8. Combined
Maleckar MM; Myklebust L; Uv J; Florvaag PM; Strøm V; Glinge C; Jabbari R; Vejlstrup N; Engstrøm T; Ahtarovski K; Jespersen T; Tfelt-Hansen J; Naumova V; Arevalo H
Front Physiol; 2021; 12():745349. PubMed ID: 34819872
[No Abstract] [Full Text] [Related]
9. TGSA: protein-protein association-based twin graph neural networks for drug response prediction with similarity augmentation.
Zhu Y; Ouyang Z; Chen W; Feng R; Chen DZ; Cao J; Wu J
Bioinformatics; 2022 Jan; 38(2):461-468. PubMed ID: 34559177
[TBL] [Abstract][Full Text] [Related]
10. Direct Gene Expression Profile Prediction for Uveal Melanoma from Digital Cytopathology Images via Deep Learning and Salient Image Region Identification.
Liu TYA; Chen H; Gomez C; Correa ZM; Unberath M
Ophthalmol Sci; 2023 Mar; 3(1):100240. PubMed ID: 36561353
[TBL] [Abstract][Full Text] [Related]
11. Imitating Pathologist Based Assessment With Interpretable and Context Based Neural Network Modeling of Histology Images.
Srivastava A; Kulkarni C; Huang K; Parwani A; Mallick P; Machiraju R
Biomed Inform Insights; 2018; 10():1178222618807481. PubMed ID: 30450002
[TBL] [Abstract][Full Text] [Related]
12. Sanders classification of calcaneal fractures in CT images with deep learning and differential data augmentation techniques.
Aghnia Farda N; Lai JY; Wang JC; Lee PY; Liu JW; Hsieh IH
Injury; 2021 Mar; 52(3):616-624. PubMed ID: 32962829
[TBL] [Abstract][Full Text] [Related]
13. Deep learning for colon cancer histopathological images analysis.
Ben Hamida A; Devanne M; Weber J; Truntzer C; Derangère V; Ghiringhelli F; Forestier G; Wemmert C
Comput Biol Med; 2021 Sep; 136():104730. PubMed ID: 34375901
[TBL] [Abstract][Full Text] [Related]
14. Data-driven color augmentation for H&E stained images in computational pathology.
Marini N; Otalora S; Wodzinski M; Tomassini S; Dragoni AF; Marchand-Maillet S; Morales JPD; Duran-Lopez L; Vatrano S; Müller H; Atzori M
J Pathol Inform; 2023; 14():100183. PubMed ID: 36687531
[TBL] [Abstract][Full Text] [Related]
15. Which data subset should be augmented for deep learning? a simulation study using urothelial cell carcinoma histopathology images.
Ameen YA; Badary DM; Abonnoor AEI; Hussain KF; Sewisy AA
BMC Bioinformatics; 2023 Mar; 24(1):75. PubMed ID: 36869300
[TBL] [Abstract][Full Text] [Related]
16. Establishment of a platform of non-small-cell lung cancer patient-derived xenografts with clinical and genomic annotation.
Kang HN; Choi JW; Shim HS; Kim J; Kim DJ; Lee CY; Hong MH; Park SY; Park AY; Shin EJ; Lee SY; Pyo KH; Yun MR; Choi HM; Lee SS; Kim SY; Lee H; Paik S; Cho BC; Lee JG; Kim HR
Lung Cancer; 2018 Oct; 124():168-178. PubMed ID: 30268457
[TBL] [Abstract][Full Text] [Related]
17. Fusion of CT images and clinical variables based on deep learning for predicting invasiveness risk of stage I lung adenocarcinoma.
Huang H; Zheng D; Chen H; Wang Y; Chen C; Xu L; Li G; Wang Y; He X; Li W
Med Phys; 2022 Oct; 49(10):6384-6394. PubMed ID: 35938604
[TBL] [Abstract][Full Text] [Related]
18. BM-Net: CNN-Based MobileNet-V3 and Bilinear Structure for Breast Cancer Detection in Whole Slide Images.
Huang J; Mei L; Long M; Liu Y; Sun W; Li X; Shen H; Zhou F; Ruan X; Wang D; Wang S; Hu T; Lei C
Bioengineering (Basel); 2022 Jun; 9(6):. PubMed ID: 35735504
[TBL] [Abstract][Full Text] [Related]
19. Building a patient-specific model using transfer learning for four-dimensional cone beam computed tomography augmentation.
Sun L; Jiang Z; Chang Y; Ren L
Quant Imaging Med Surg; 2021 Feb; 11(2):540-555. PubMed ID: 33532255
[TBL] [Abstract][Full Text] [Related]
20. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]