5 citations · 6 across the 9 of their papers we have counts for
5 papers · 1 filter
UnPuzzle: A Unified Framework for Pathology Image Analysis
Dankai Liao, Sicheng Chen, Nuwa Xi +10
Pathology image analysis plays a pivotal role in medical diagnosis, with deep learning techniques significantly advancing diagnostic accuracy and research. While numerous studies h…
Towards Architecture-Agnostic Untrained Network Priors for Image Reconstruction with Frequency Regularization
Yilin Liu, Yunkui Pang, Jiang Li +2
Untrained networks inspired by deep image priors have shown promising capabilities in recovering high-quality images from noisy or partial measurements without requiring training s…
Eosinophils Instance Object Segmentation on Whole Slide Imaging Using Multi-label Circle Representation
Yilin Liu, Ruining Deng, Juming Xiong +5
Eosinophilic esophagitis (EoE) is a chronic and relapsing disease characterized by esophageal inflammation. Symptoms of EoE include difficulty swallowing, food impaction, and chest…
Deep Learning-Based Open Source Toolkit for Eosinophil Detection in Pediatric Eosinophilic Esophagitis
Juming Xiong, Yilin Liu, Ruining Deng +5
Eosinophilic Esophagitis (EoE) is a chronic, immune/antigen-mediated esophageal disease, characterized by symptoms related to esophageal dysfunction and histological evidence of eo…
The Devil is in the Upsampling: Architectural Decisions Made Simpler for Denoising with Deep Image Prior
Yilin Liu, Jiang Li, Yunkui Pang +2
Deep Image Prior (DIP) shows that some network architectures naturally bias towards smooth images and resist noises, a phenomenon known as spectral bias. Image denoising is an imme…