232 results on '"Wang, Shidan"'
Search Results
2. STIE: Single-cell level deconvolution, convolution, and clustering in in situ capturing-based spatial transcriptomics
3. iIMPACT: integrating image and molecular profiles for spatial transcriptomics analysis
4. A critical assessment of using ChatGPT for extracting structured data from clinical notes
5. Deep Learning–Based H-Score Quantification of Immunohistochemistry-Stained Images
6. Cell Segmentation With Globally Optimized Boundaries: A Deep Learning Pipeline for Whole-Cell Segmentation in Hematoxylin-and-Eosin–Stained Tissues
7. Deep learning of cell spatial organizations identifies clinically relevant insights in tissue images
8. Comprehensive characterization of patient-derived xenograft models of pediatric leukemia
9. Unsupervised domain adaptation for nuclei segmentation: Adapting from hematoxylin & eosin stained slides to immunohistochemistry stained slides using a curriculum approach
10. Depression prediction based on LassoNet-RNN model: A longitudinal study
11. A Deep Learning Approach for Histology-Based Nucleus Segmentation and Tumor Microenvironment Characterization
12. Enhanced Pathology Image Quality with Restore–Generative Adversarial Network
13. Sprod for de-noising spatially resolved transcriptomics data based on position and image information
14. ConvPath: A Software Tool for Lung Adenocarcinoma Digital Pathological Image Analysis Aided by Convolutional Neural Network
15. Deep Learning of Rhabdomyosarcoma Pathology Images for Classification and Survival Outcome Prediction
16. Features of tumor-microenvironment images predict targeted therapy survival benefit in patients with EGFR-mutant lung cancer
17. Correction: Validation and applicability of the music ear test on a large Chinese sample
18. Validation and applicability of the music ear test on a large Chinese sample
19. Semi-supervised generative adversarial learning for denoising adaptive optics retinal images
20. Musical Ear Test--Chinese Version
21. Recent advances in understanding the roles of sialyltransferases in tumor angiogenesis and metastasis
22. Retraction Note: Alginate oligosaccharide attenuates α2,6- sialylation modification to inhibit prostate cancer cell growth via the Hippo/YAP pathway
23. Pathology Image Analysis Using Segmentation Deep Learning Algorithms
24. Advances in the relationship between glycosyltransferases and multidrug resistance in cancer
25. Reconstructing Spatial Transcriptomics at the Single-cell Resolution with BayesDeep
26. A Generalized Supervised Contrastive Learning Framework for Integrative Multi-omics Prediction Models
27. Music therapy on depression in college students
28. Usefulness of a Simple Algorithm to Identify Hypertensive Patients Who Benefit from Intensive Blood Pressure Lowering
29. α2,6-Sialylation promotes immune escape in hepatocarcinoma cells by regulating T cell functions and CD147/MMP signaling
30. A Deep Learning Onion Peeling Approach to Measure Oral Epithelium Layer Number
31. ScopeViewer: A Browser-Based Solution for Visualizing Spatial Transcriptomics Data
32. Deep Learning of Cell Spatial Organizations Identifies Clinically Relevant Insights in Tissue Images
33. Deep-Learning-Based Hepatic Ploidy Quantification Using H&E Histopathology Images
34. Abstract 5407: A pan-cancer PDX histology image repository with genomic and pathological annotations for deep learning analysis
35. RETRACTED ARTICLE: Alginate oligosaccharide attenuates α2,6-sialylation modification to inhibit prostate cancer cell growth via the Hippo/YAP pathway
36. Table S1 from Computational Staining of Pathology Images to Study the Tumor Microenvironment in Lung Cancer
37. Figure S4 from Computational Staining of Pathology Images to Study the Tumor Microenvironment in Lung Cancer
38. Supplementary Materials from Validation of the 12-gene Predictive Signature for Adjuvant Chemotherapy Response in Lung Cancer
39. Data from Computational Staining of Pathology Images to Study the Tumor Microenvironment in Lung Cancer
40. Deep learning in digital pathology for personalized treatment plans of cancer patients
41. Deep learning‐based pathology image analysis predicts cancer progression risk in patients with oral leukoplakia
42. A Deep Learning Approach for Histology-Based Nuclei Segmentation and Tumor Microenvironment Characterization
43. Comprehensive analysis of lung cancer pathology images to discover tumor shape and boundary features that predict survival outcome
44. Microvessel prediction in H&E Stained Pathology Images using fully convolutional neural networks
45. MB-SupCon: Microbiome-based Predictive Models via Supervised Contrastive Learning
46. Correction to: α2,6-Sialylation promotes immune escape in hepatocarcinoma cells by regulating T cell functions and CD147/MMP signaling
47. Abstract 1208: Denoising spatial expression profiling data based on in situ position and image information
48. Flux synthesis of two new organically templated zinc phosphites with different 3,4-connected frameworks
49. Sprod for De-noising Spatial Transcriptomics Data Based on Position and Image Information
50. ST8SIA1 inhibits the proliferation, migration and invasion of bladder cancer cells by blocking the JAK/STAT signaling pathway
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