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Ange Lou

4 papers here

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

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • eess.IV1
ORCID 0000-0002-3983-8877
same name
  • Ange Lou — 5 papers, h 11

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

most citedCaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects

141 citations · 146 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2024

Monocular Microscope to CT Registration using Pose Estimation of the Incus for Augmented Reality Cochlear Implant Surgery

Yike Zhang, Eduardo Davalos, Dingjie Su +2

For those experiencing severe-to-profound sensorineural hearing loss, the cochlear implant (CI) is the preferred treatment. Augmented reality (AR) aided surgery can potentially imp…

cs.CV2024

DaReNeRF: Direction-aware Representation for Dynamic Scenes

Ange Lou, Benjamin Planche, Zhongpai Gao +6

Addressing the intricate challenge of modeling and re-rendering dynamic scenes, most recent approaches have sought to simplify these complexities using plane-based explicit represe…

cs.CV2023★ 5 cited

False Negative/Positive Control for SAM on Noisy Medical Images

Xing Yao, Han Liu, Dewei Hu +9

The Segment Anything Model (SAM) is a recently developed all-range foundation model for image segmentation. It can use sparse manual prompts such as bounding boxes to generate pixe…

eess.IV2023★ 141 cited

CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects

Ange Lou, Shuyue Guan, Murray Loew

Segmenting medical images accurately and reliably is important for disease diagnosis and treatment. It is a challenging task because of the wide variety of objects' sizes, shapes,…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.