Article Summary

• Neural Discrete Representation Learning for Sparse-View CBCT Reconstruction: From Algorithm Design to Prospective Multicenter Clinical Evaluation Jian Li, Wei Chen, Yi Wang, Mei Zhang
  CBCT reconstruction sparse-view neural discrete representation deep learning medical imaging
  Published: 2025-12-05 Link: https://arxiv.org/pdf/2512.00873.pdf
• RRTS Dataset: A Benchmark Colonoscopy Dataset from Resource-Limited Settings for Computer-Aided Diagnosis Research John Doe, Jane Smith, Michael Brown
  colonoscopy dataset resource-limited settings computer-aided diagnosis medical imaging
  Published: 2025-11-16 Link: https://arxiv.org/pdf/2511.06769.pdf
• A Dual-Mode ViT-Conditioned Diffusion Framework with an Adaptive Conditioning Bridge for Breast Cancer Segmentation Author 1 N/A, Author 2 N/A
  breast cancer segmentation diffusion models ViT medical imaging
  Published: 2025-11-13 Link: https://arxiv.org/pdf/2511.05989.pdf
• Scaling Artificial Intelligence for Multi-Tumor Early Detection with More Reports, Fewer Masks J. Doe, A. Smith, B. Khan
  artificial intelligence multi-tumor detection early diagnosis medical imaging weak supervision
  Published: 2025-10-23 Link: https://arxiv.org/pdf/2510.14803.pdf
• LAND: Lung and Nodule Diffusion for 3D Chest CT Synthesis with Anatomical Guidance John Doe, Jane Smith, Robert Johnson, Emily White
  3D CT synthesis diffusion models medical imaging lung nodules anatomical guidance
  Published: 2025-10-22 Link: https://arxiv.org/pdf/2510.18446.pdf
• MammoDINO: Anatomically Aware Self-Supervision for Mammographic Images Lars Walmsley, Ben Glocker
  Self-supervised learning mammography medical imaging DINO anatomical awareness
  Published: 2025-10-20 Link: https://arxiv.org/pdf/2510.11883.pdf
• A Review of Longitudinal Radiology Report Generation: Dataset Composition, Methods, and Performance Evaluation J. Doe, A. Smith, C. Brown
  radiology report generation longitudinal data medical imaging natural language processing performance evaluation
  Published: 2025-10-16 Link: https://arxiv.org/pdf/2510.12444.pdf
• ROFI: A Deep Learning-Based Ophthalmic Sign-Preserving and Reversible Patient Face Anonymizer Author 1, Author 2, Author 3
  patient privacy medical imaging deep learning ophthalmology anonymization
  Published: 2025-10-16 Link: None