12 citations · 20 across the 14 of their papers we have counts for
14 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…
Continuous Language Diffusion as a Decoder-Interface Problem
Zhicheng Du, Lan Ma
Gaussian-corrupted sentence embeddings have no direct linguistic interpretation, yet continuous diffusion language models can generate fluent text from them. We study this puzzle t…
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…
Prime Certificates for Exact Vertex-Coprime Ramsey Numbers
Zhicheng Du, Wenji Xi, Zhuo Deng +1
Let be the coprime graph on . We prove that the mixed vertex-coloring coprime Ramsey number satisfies \[ \Rcop(k_1,\ldots,k_c)=p_{\sum_{i=1}^c(k_i-1)}, \] whe…
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…
mRNA Design and Optimization with Deep Knowledge-Infused Approach
Zheng Gong, Ziyi Jiang, Weihao Gao +4
The mRNA optimization is essential for mRNA vaccines, therapies, and industrial protein production. Based on current explorations, an ideal optimization approach should simultaneou…
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…
OphGLM: Training an Ophthalmology Large Language-and-Vision Assistant based on Instructions and Dialogue
Weihao Gao, Zhuo Deng, Zhiyuan Niu +10
Large multimodal language models (LMMs) have achieved significant success in general domains. However, due to the significant differences between medical images and text and genera…
RCMNet: A deep learning model assists CAR-T therapy for leukemia
Ruitao Zhang, Xueying Han, Ijaz Gul +8
Acute leukemia is a type of blood cancer with a high mortality rate. Current therapeutic methods include bone marrow transplantation, supportive therapy, and chemotherapy. Although…
Mixed-UNet: Refined Class Activation Mapping for Weakly-Supervised Semantic Segmentation with Multi-scale Inference
Yang Liu, Ersi Zhang, Lulu Xu +13
Deep learning techniques have shown great potential in medical image processing, particularly through accurate and reliable image segmentation on magnetic resonance imaging (MRI) s…
RFormer: Transformer-based Generative Adversarial Network for Real Fundus Image Restoration on A New Clinical Benchmark
Zhuo Deng, Yuanhao Cai, Lu Chen +6
Ophthalmologists have used fundus images to screen and diagnose eye diseases. However, different equipments and ophthalmologists pose large variations to the quality of fundus imag…