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1. Deep Learning-Based Kinetic Analysis in Paper-Based Analytical Cartridges Integrated with Field-Effect Transistors.

2. Deep Learning-Enhanced Paper-Based Vertical Flow Assay for High-Sensitivity Troponin Detection Using Nanoparticle Amplification.

3. Visible detection of chilled beef freshness using a paper-based colourimetric sensor array combining with deep learning algorithms.

5. Automated entry of paper-based patient-reported outcomes: Applying deep learning to the Japanese orthopaedic association back pain evaluation questionnaire.

6. Deep Learning-Enabled Multiplexed Point-of-Care Sensor using a Paper-Based Fluorescence Vertical Flow Assay.

7. Deep learning-assisted ultra-accurate smartphone testing of paper-based colorimetric ELISA assays.

10. Paper microfluidics with deep learning for portable intelligent nucleic acid amplification tests.

11. A Review Paper about Deep Learning for Medical Image Analysis.

13. 3D plasmonic coral nanoarchitecture paper for label-free human urine sensing and deep learning-assisted cancer screening.

14. Development of a paper-based analytical device for the colourimetric detection of alanine transaminase and the application of deep learning for image analysis.

17. Web-based diagnostic platform for microorganism-induced deterioration on paper-based cultural relics with iterative training from human feedback

18. A fully-automated paper ECG digitisation algorithm using deep learning.

19. Simultaneous phenotyping of five Rh red blood cell antigens on a paper-based analytical device combined with deep learning for rapid and accurate interpretation.

22. NSTU-BDTAKA: An open dataset for Bangladeshi paper currency detection and recognition

24. Deep learning for digitizing highly noisy paper-based ECG records.

27. Research hotspots and trends of artificial intelligence in diabetic retinopathy based on bibliometrics and high-impact papers

29. The European Federation of Organisations for Medical Physics (EFOMP) White Paper: Big data and deep learning in medical imaging and in relation to medical physics profession.

30. Position paper of the EACVI and EANM on artificial intelligence applications in multimodality cardiovascular imaging using SPECT/CT, PET/CT, and cardiac CT

31. Advanced reliability and safety methodologies and novel applications (Selected papers of the international conference of QR2MSE2023).

32. Speech recognition for Kazakh language: a research paper.

33. Improved GRU prediction of paper pulp press variables using different pre-processing methods

34. Sequential sentence classification in research papers using cross-domain multi-task learning.

35. Computer vision digitization of smartphone images of anesthesia paper health records from low-middle income countries.

36. Ash Detection of Coal Slime Flotation Tailings Based on Chromatographic Filter Paper Sampling and Multi-Scale Residual Network.

37. Position paper on how technology for human motion analysis and relevant clinical applications have evolved over the past decades: Striking a balance between accuracy and convenience.

38. A modified LSTM network to predict the citation counts of papers.

39. A comparative analysis of different augmentations for brain images.

40. A comparative evaluation of deep learning approaches for ophthalmology.

41. Auto-segmentation of Adult-Type Diffuse Gliomas: Comparison of Transfer Learning-Based Convolutional Neural Network Model vs. Radiologists.

42. Simulation: The Great Enabler? : Synthetic Data for Supercharging AI Military Systems

44. Generation of Highlights From Research Papers Using Pointer-Generator Networks and SciBERT Embeddings

45. An Overview of Machine Learning in Orthopedic Surgery: An Educational Paper.

46. Study design of deep learning based automatic detection of cerebrovascular diseases on medical imaging: a position paper from Chinese Association of Radiologists

47. A personalized paper recommendation method based on knowledge graph and transformer encoder with a self-attention mechanism.

48. A novel application of XAI in squinting models: A position paper

50. Deep Learning for 3D Reconstruction, Augmentation, and Registration: A Review Paper