66 citations · 83 across the 7 of their papers we have counts for
7 papers
Multimodal Knowledge Aggregation for Microbial Keratitis: Geographic Confounding and Shortcut Risk in Pooled Multicountry Data
Yiqing Wang, Maria A. Woodward, Ziyun Yang +12
To develop an open-source multimodal model for bacterial-versus-fungal microbial keratitis classification and assess shortcuts from geographic pooling. Participants: 1,645 US and I…
PRIMA: Pre-Training with Risk-Integrated Image--Metadata Alignment for Medical Diagnosis with LLM-Based Feature Aggregation
Yiqing Wang, Chunming He, Ziyun Yang +5
Medical diagnosis requires the effective synthesis of visual manifestations and clinical metadata. However, existing methods often treat metadata as isolated tags, failing to explo…
Spatial Coherence Loss: All Objects Matter in Salient and Camouflaged Object Detection
Ziyun Yang, Kevin Choy, Sina Farsiu
Generic object detection is a category-independent task that relies on accurate modeling of objectness. We show that for accurate semantic analysis, the network needs to learn all…
Directional Connectivity-based Segmentation of Medical Images
Ziyun Yang, Sina Farsiu
Anatomical consistency in biomarker segmentation is crucial for many medical image analysis tasks. A promising paradigm for achieving anatomically consistent segmentation via deep…
RetiFluidNet: A Self-Adaptive and Multi-Attention Deep Convolutional Network for Retinal OCT Fluid Segmentation
Reza Rasti, Armin Biglari, Mohammad Rezapourian +2
Optical coherence tomography (OCT) helps ophthalmologists assess macular edema, accumulation of fluids, and lesions at microscopic resolution. Quantification of retinal fluids is n…
BiconNet: An Edge-preserved Connectivity-based Approach for Salient Object Detection
Ziyun Yang, Somayyeh Soltanian-Zadeh, Sina Farsiu
Salient object detection (SOD) is viewed as a pixel-wise saliency modeling task by traditional deep learning-based methods. A limitation of current SOD models is insufficient utili…
Multimodal Densenet
Faisal Mahmood, Ziyun Yang, Thomas Ashley +1
Humans make accurate decisions by interpreting complex data from multiple sources. Medical diagnostics, in particular, often hinge on human interpretation of multi-modal informatio…