3 citations · 5 across the 7 of their papers we have counts for
7 papers
EyeMVP: OCT-Informed Fundus Representation Learning via Paired CFP--OCT Pretraining
Zhuo Deng, Ruiheng Zhang, Ziheng Zhang +23
Color fundus photography (CFP) is the mainstay of large-scale retinal screening, but its diagnostic capacity is limited by the lack of depth-resolved structure, which optical coher…
Auditing Training-Free 3D Shape Retrieval with Diffused Geodesic Moments
Zhicheng Du, Changyue Liu, Wenji Xi +5
Reported retrieval scores for training-free shape descriptors conflate local signal design, normalization, aggregation, codebook fitting, and metric choices, making isolated compon…
Enabling Real-Time Colonoscopic Polyp Segmentation on Commodity CPUs via Ultra-Lightweight Architecture
Weihao Gao, Zhuo Deng, Zheng Gong +1
Real-time polyp segmentation is essential for early colorectal cancer detection, yet clinical deployment remains blocked by GPU dependency. We introduce the UltraSeg family, a set…
AI-driven Prediction of Insulin Resistance in Normal Populations: Comparing Models and Criteria
Weihao Gao, Zhuo Deng, Zheng Gong +2
Insulin resistance (IR) is a key precursor to diabetes and a significant risk factor for cardiovascular disease. Traditional IR assessment methods require multiple blood tests. We…
Versatile Cataract Fundus Image Restoration Model Utilizing Unpaired Cataract and High-quality Images
Zheng Gong, Zhuo Deng, Weihao Gao +7
Cataract is one of the most common blinding eye diseases and can be treated by surgery. However, because cataract patients may also suffer from other blinding eye diseases, ophthal…
Acquire Precise and Comparable Fundus Image Quality Score: FTHNet and FQS Dataset
Zheng Gong, Zhuo Deng, Run Gan +8
The retinal fundus images are utilized extensively in the diagnosis, and their quality can directly affect the diagnosis results. However, due to the insufficient dataset and algor…
TabKANet: Tabular Data Modeling with Kolmogorov-Arnold Network and Transformer
Weihao Gao, Zheng Gong, Zhuo Deng +3
Tabular data is the most common type of data in real-life scenarios. In this study, we propose the TabKANet model for tabular data modeling, which targets the bottlenecks in learni…