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Qi Dou

Identifiers

  • name variant Qi Dou 0.60 · backfill

Papers (29)

  1. Scaling Parallel Sequence Models to Foundation-Scale Vision Encoders cs.CV · 2026 · author #7
  2. Geometry-Guided Modeling of Foundation Features Enables Generalizable Object Shape Deformation Learning cs.CV · 2026 · author #8
  3. SurfSurg6D: Geometry Consistent Dense Correspondence for Textureless Surgical Instrument Pose Estimation cs.CV · 2026 · author #6
  4. MedExpMem: Adapting Experience Memory for Differential Diagnosis cs.LG · 2026 · author #7
  5. From Articulated Kinematics to Routed Visual Control for Action-Conditioned Surgical Video Generation cs.CV · 2026 · author #9
  6. Saliency-R1: Enforcing Interpretable and Faithful Vision-language Reasoning via Saliency-map Alignment Reward cs.CV · 2026 · author #5
  7. Current validation practice undermines surgical AI development q-bio.OT · 2025 · author #21
  8. SegSTRONG-C: Segmenting Surgical Tools Robustly On Non-adversarial Generated Corruptions -- An EndoVis'24 Challenge cs.CV · 2024 · author #8
  9. Any-point Trajectory Modeling for Policy Learning cs.RO · 2023 · author #5
  10. Incorporating Temporal Prior from Motion Flow for Instrument Segmentation in Minimally Invasive Surgery Video cs.CV · 2019 · author #3
  11. Multi-Task Recurrent Convolutional Network with Correlation Loss for Surgical Video Analysis cs.CV · 2019 · author #3
  12. Respiratory Motion Correction in Abdominal MRI using a Densely Connected U-Net with GAN-guided Training eess.IV · 2019 · author #6
  13. Deep Angular Embedding and Feature Correlation Attention for Breast MRI Cancer Analysis eess.IV · 2019 · author #4
  14. Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST Labels eess.IV · 2019 · author #2
  15. CIA-Net: Robust Nuclei Instance Segmentation with Contour-aware Information Aggregation cs.CV · 2019 · author #3
  16. Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation cs.CV · 2019 · author #2
  17. Robust Learning at Noisy Labeled Medical Images: Applied to Skin Lesion Classification cs.CV · 2019 · author #2
  18. PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac Segmentation cs.CV · 2018 · author #1
  19. MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images cs.CV · 2018 · author #4
  20. Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-ray Segmentation cs.CV · 2018 · author #2
  21. Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss cs.CV · 2018 · author #1
  22. SFCN-OPI: Detection and Fine-grained Classification of Nuclei Using Sibling FCN with Objectness Prior Interaction cs.CV · 2017 · author #2
  23. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes cs.CV · 2017 · author #4
  24. Automated Pulmonary Nodule Detection via 3D ConvNets with Online Sample Filtering and Hybrid-Loss Residual Learning cs.CV · 2017 · author #1
  25. Automatic 3D Cardiovascular MR Segmentation with Densely-Connected Volumetric ConvNets cs.CV · 2017 · author #3
  26. ScanNet: A Fast and Dense Scanning Framework for Metastatic Breast Cancer Detection from Whole-Slide Images cs.CV · 2017 · author #3
  27. Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge cs.CV · 2016 · author #8
  28. VoxResNet: Deep Voxelwise Residual Networks for Volumetric Brain Segmentation cs.CV · 2016 · author #2
  29. 3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes cs.CV · 2016 · author #1

Mentions

  • 2606.00746 #7 · arxiv_oai · confidence 0.70 Qi Dou
  • 2605.29661 #8 · arxiv_oai · confidence 0.70 Qi Dou
  • 2605.25598 #6 · arxiv_oai · confidence 0.70 Qi Dou
  • 2605.22872 #7 · arxiv_oai · confidence 0.70 Qi Dou
  • 2401.00025 #5 · arxiv_oai · confidence 0.70 Qi Dou

Frequent Coauthors