activity
20202026
most citedExplainable Medical Imaging AI Needs Human-Centered Design: Guidelines and Evidence from a Systematic Review

7 citations · 14 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IR2026

DREAM Technical Report

Bin Zhang, Bowen Zheng, Chao Yi +74

Industrial recommender systems commonly use cascaded retrieval, ranking, and re-ranking pipelines. Although efficient, these pipelines fragment information and objectives across mo…

cs.HC2021★ 7 cited

Explainable Medical Imaging AI Needs Human-Centered Design: Guidelines and Evidence from a Systematic Review

Haomin Chen, Catalina Gomez, Chien-Ming Huang +1

Transparency in Machine Learning (ML), attempts to reveal the working mechanisms of complex models. Transparent ML promises to advance human factors engineering goals of human-cent…

cs.CV2021★ 1 cited

An Interpretable Algorithm for Uveal Melanoma Subtyping from Whole Slide Cytology Images

Haomin Chen, T. Y. Alvin Liu, Catalina Gomez +2

Algorithmic decision support is rapidly becoming a staple of personalized medicine, especially for high-stakes recommendations in which access to certain information can drasticall…

cs.CV2020

Deep Hiearchical Multi-Label Classification Applied to Chest X-Ray Abnormality Taxonomies

Haomin Chen, Shun Miao, Daguang Xu +2

CXRs are a crucial and extraordinarily common diagnostic tool, leading to heavy research for CAD solutions. However, both high classification accuracy and meaningful model predicti…

cs.CV2020★ 6 cited

Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-ray Images

Haomin Chen, Yirui Wang, Kang Zheng +8

Visual cues of enforcing bilaterally symmetric anatomies as normal findings are widely used in clinical practice to disambiguate subtle abnormalities from medical images. So far, i…