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2. The artificial intelligence-based model ANORAK improves histopathological grading of lung adenocarcinoma

4. Lightweight Image Hashing Based on Knowledge Distillation and Optimal Transport for Face Retrieval

7. Cross-Stream Interactions: Segmentation of Lung Adenocarcinoma Growth Patterns

8. Self-supervised Antigen Detection Artificial Intelligence (SANDI)

13. Clinical utility of office hysteroscopy following failed in vitro fertilization–embryo transfer: A retrospective cohort study.

15. Self-supervised Antigen Detection Artificial Intelligence (SANDI)

18. Deciphering the diversity and sequence of extracellular matrix and cellular spatial patterns in lung adenocarcinoma using topological data analysis

19. Cancer Associated Bacteria in Primary and Metastatic Non-Small Cell Lung Cancer

22. Video Hashing with Tensor Robust PCA and Histogram of Optical Flow for Copy Detection.

28. Comparative Genomic Analysis Reveals Genetic Diversity and Pathogenic Potential of Haemophilus seminalis and Emended Description of Haemophilus seminalis

32. Figure 5 from Spatial Positioning of Immune Hotspots Reflects the Interplay between B and T Cells in Lung Squamous Cell Carcinoma

33. Figure 2 from Spatial Positioning of Immune Hotspots Reflects the Interplay between B and T Cells in Lung Squamous Cell Carcinoma

34. Table 1 from Spatial Positioning of Immune Hotspots Reflects the Interplay between B and T Cells in Lung Squamous Cell Carcinoma

35. Supplementary Data from Spatial Positioning of Immune Hotspots Reflects the Interplay between B and T Cells in Lung Squamous Cell Carcinoma

36. Figure 4 from Spatial Positioning of Immune Hotspots Reflects the Interplay between B and T Cells in Lung Squamous Cell Carcinoma

37. Table S1 from Spatial Positioning of Immune Hotspots Reflects the Interplay between B and T Cells in Lung Squamous Cell Carcinoma

38. Data from Spatial Positioning of Immune Hotspots Reflects the Interplay between B and T Cells in Lung Squamous Cell Carcinoma

39. Figure 6 from Spatial Positioning of Immune Hotspots Reflects the Interplay between B and T Cells in Lung Squamous Cell Carcinoma

40. Figure 1 from Spatial Positioning of Immune Hotspots Reflects the Interplay between B and T Cells in Lung Squamous Cell Carcinoma

41. Figure 3 from Spatial Positioning of Immune Hotspots Reflects the Interplay between B and T Cells in Lung Squamous Cell Carcinoma

43. Body composition and lung cancer-associated cachexia in TRACERx

44. The evolution of non-small cell lung cancer metastases in TRACERx

45. The evolution of lung cancer and impact of subclonal selection in TRACERx

46. Evolutionary characterization of lung adenocarcinoma morphology in TRACERx

47. Efficacy predictors of a 2-month exclusive enteral nutrition for inducing remission of active Crohn's disease

48. Spatial Positioning of Immune Hotspots Reflects the Interplay between B and T Cells in Lung Squamous Cell Carcinoma

49. Self-Supervised Deep Learning for Highly Efficient Spatial Immunophenotyping

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