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Ashwin Raju

3 papers hereh-index 9416 citations9 works total

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author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

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  • cs.CV2
  • eess.IV1

identity via Semantic Scholar / OpenAlex

most citedHarvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning

9 citations · 11 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2020

User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation

Ashwin Raju, Zhanghexuan Ji, Chi Tung Cheng +6

Mask-based annotation of medical images, especially for 3D data, is a bottleneck in developing reliable machine learning models. Using minimal-labor user interactions (UIs) to guid…

cs.CV2020★ 9 cited

Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning

Yuankai Huo, Jinzheng Cai, Chi-Tung Cheng +7

Non-invasive radiological-based lesion characterization and identification, e.g., to differentiate cancer subtypes, has long been a major aim to enhance oncological diagnosis and t…

eess.IV2020★ 2 cited

JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-Modal Image Alignment of Large-scale Pathological CT Scans

Fengze Liu, Jinzheng Cai, Yuankai Huo +8

Multi-modal image registration is a challenging problem that is also an important clinical task for many real applications and scenarios. As a first step in analysis, deformable re…

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