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1. AI Fairness in Medical Imaging: Controlling for Disease Severity

3. Semantic Image Synthesis for Abdominal CT

4. Anatomical Location-Guided Deep Learning-Based Genetic Cluster Identification of Pheochromocytomas and Paragangliomas from CT Images

5. Utilizing Longitudinal Chest X-Rays and Reports to Pre-fill Radiology Reports

8. Automated Assessment of Renal Calculi in Serial Computed Tomography Scans

9. Monitoring, Recognition and Attendance Automation in Online Class: Combination of Image Processing, Cryptography in IoT Security

12. SAM-U: Multi-box Prompts Triggered Uncertainty Estimation for Reliable SAM in Medical Image

13. PLMVQA: Applying Pseudo Labels for Medical Visual Question Answering with Limited Data

14. Leveraging Contrastive Learning with SimSiam for the Classification of Primary and Secondary Liver Cancers

15. Anisotropic Hybrid Networks for Liver Tumor Segmentation with Uncertainty Quantification

16. Anatomy-Aware Lymph Node Detection in Chest CT Using Implicit Station Stratification

17. Identifying Shared Neuroanatomic Architecture Between Cognitive Traits Through Multiscale Morphometric Correlation Analysis

18. Noisy-Consistent Pseudo Labeling Model for Semi-supervised Skin Lesion Classification

19. Hybrid Multimodality Fusion with Cross-Domain Knowledge Transfer to Forecast Progression Trajectories in Cognitive Decline

20. Operating Critical Machine Learning Models in Resource Constrained Regimes

21. Groupwise Image Registration with Atlas of Multiple Resolutions Refined at Test Phase

22. Data Efficiency of Segment Anything Model for Optic Disc and Cup Segmentation

23. MuST: Multimodal Spatiotemporal Graph-Transformer for Hospital Readmission Prediction

24. Hessian-Based Similarity Metric for Multimodal Medical Image Registration

25. Osteoarthritis Diagnosis Integrating Whole Joint Radiomics and Clinical Features for Robust Learning Models Using Biological Privileged Information

26. MAD: Modality Agnostic Distance Measure for Image Registration

27. Graph-Based Counterfactual Causal Inference Modeling for Neuroimaging Analysis

28. Synthesising Brain Iron Maps from Quantitative Magnetic Resonance Images Using Interpretable Generative Adversarial Networks

29. Modality Cycles with Masked Conditional Diffusion for Unsupervised Anomaly Segmentation in MRI

30. Multimodal Context-Aware Detection of Glioma Biomarkers Using MRI and WSI

31. Fusion: Bayesian-Based Multimodal Multi-level Fusion on Colorectal Cancer Microsatellite Instability Prediction

32. BreastRegNet: A Deep Learning Framework for Registration of Breast Faxitron and Histopathology Images

33. Efficient Registration of Longitudinal Studies for Follow-Up Lesion Assessment by Exploiting Redundancy and Composition of Deformations

34. Query Re-Training for Modality-Gnostic Incomplete Multi-modal Brain Tumor Segmentation

35. Outlier Robust Disease Classification via Stochastic Confidence Network

36. Graph-Based Multimodal Multi-lesion DLBCL Treatment Response Prediction from PET Images

37. RPTK: The Role of Feature Computation on Prediction Performance

38. A Two-Species Model for Abnormal Tau Dynamics in Alzheimer’s Disease

39. A New Large-Scale Video Dataset of the Eyelid Opening Degree for Deep Regression-Based PERCLOS Estimation

40. A Hierarchical Descriptor Framework for On-the-Fly Anatomical Location Matching Between Longitudinal Studies

41. FusionNet: A Frame Interpolation Network for 4D Heart Models

42. A Groupwise Method for the Reconstruction of Hypergraph Representation of Resting-State Functional Networks

43. MomentaMorph: Unsupervised Spatial-Temporal Registration with Momenta, Shooting, and Correction

44. Learning Dynamic MRI Reconstruction with Convolutional Network Assisted Reconstruction Swin Transformer

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