1 citations · 1 across the 6 of their papers we have counts for
6 papers
CellPath-Bench: A Multidimensional Benchmark for Whole-Slide Cellular Representations in Pathology Foundation Models
Bokai Zhao, Yiyang Zhang, Hanqing Chao +6
Pathology foundation models (PFMs) are increasingly used as general-purpose backbones, yet existing benchmarks cannot systematically diagnose their whole-slide cellular representat…
DaX: Learning General Pathology Representations Across Scales
Bokai Zhao, Yiyang Zhang, Long Bai +3
Computational pathology requires visual representations that transfer across diverse clinical endpoints and remain robust to variation in magnification, staining, scanner type, sli…
SitLLM: Large Language Models for Sitting Posture Health Understanding via Pressure Sensor Data
Jian Gao, Fufangchen Zhao, Yiyang Zhang +1
Poor sitting posture is a critical yet often overlooked factor contributing to long-term musculoskeletal disorders and physiological dysfunctions. Existing sitting posture monitori…
Neural Proteomics Fields for Super-resolved Spatial Proteomics Prediction
Bokai Zhao, Weiyang Shi, Hanqing Chao +4
Spatial proteomics maps protein distributions in tissues, providing transformative insights for life sciences. However, current sequencing-based technologies suffer from low spatia…
MAMBO-NET: Multi-Causal Aware Modeling Backdoor-Intervention Optimization for Medical Image Segmentation Network
Ruiguo Yu, Yiyang Zhang, Yuan Tian +3
Medical image segmentation methods generally assume that the process from medical image to segmentation is unbiased, and use neural networks to establish conditional probability mo…
CP-UNet: Contour-based Probabilistic Model for Medical Ultrasound Images Segmentation
Ruiguo Yu, Yiyang Zhang, Yuan Tian +3
Deep learning-based segmentation methods are widely utilized for detecting lesions in ultrasound images. Throughout the imaging procedure, the attenuation and scattering of ultraso…