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Bailiang Jian

11 papers hereh-index 6116 citations16 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author6

Across the 9 of 11 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • eess.IV3
  • cs.AI2
  • cs.CG1
  • cs.CL1
  • cs.LG1
same name
  • Bailiang Jian — 2 papers, h 4
  • Bailiang Jian — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedMamba? Catch The Hype Or Rethink What Really Helps for Image Registration

6 citations · 10 across the 10 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2026

Generating Reports or Repeating Templates? Measuring and Mitigating Template Collapse in 3D CT Report Generation

Tom Maye-Lasserre, Yitong Li, Bailiang Jian +3

Modern 3D medical vision-language models (VLMs) can generate fluent radiology-style text while exhibit critically low pathology detection and output diversity, collapsing to generi…

cs.CV2025★ 1 cited

Does DINOv3 Set a New Medical Vision Standard? Benchmarking 2D and 3D Classification, Segmentation, and Registration

Che Liu, Yinda Chen, Haoyuan Shi +21

The advent of large-scale vision foundation models, pre-trained on diverse natural images, has marked a paradigm shift in computer vision. However, how the frontier vision foundati…

cs.CV2024

Mamba? Catch The Hype Or Rethink What Really Helps for Image Registration

Bailiang Jian, Jiazhen Pan, Morteza Ghahremani +3

Our findings indicate that adopting "advanced" computational elements fails to significantly improve registration accuracy. Instead, well-established registration-specific designs…

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