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20212026
most citedBilinear pooling and metric learning network for early Alzheimer's disease identification with FDG-PET images

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Astra: a generalizable report generation foundation model for 3D computed tomography

Zhuhao Wang, Fang Chen, Chaohui Yu +19

Interpreting computed tomography (CT) requires review of hundreds of volumetric slices and remains time-intensive and expertise-dependent. Automated CT report generation offers a p…

cs.CV2025

Paired Image Generation with Diffusion-Guided Diffusion Models

Haoxuan Zhang, Wenju Cui, Yuzhu Cao +4

The segmentation of mass lesions in digital breast tomosynthesis (DBT) images is very significant for the early screening of breast cancer. However, the high-density breast tissue…

cs.CV2024

Adaptive Critical Subgraph Mining for Cognitive Impairment Conversion Prediction with T1-MRI-based Brain Network

Yilin Leng, Wenju Cui, Bai Chen +3

Prediction the conversion to early-stage dementia is critical for mitigating its progression but remains challenging due to subtle cognitive impairments and structural brain change…

eess.IV2022

Multi-Task Lung Nodule Detection in Chest Radiographs with a Dual Head Network

Chen-Han Tsai, Yu-Shao Peng

Lung nodules can be an alarming precursor to potential lung cancer. Missed nodule detections during chest radiograph analysis remains a common challenge among thoracic radiologists…

eess.IV2021★ 1 cited

Bilinear pooling and metric learning network for early Alzheimer's disease identification with FDG-PET images

Wenju Cui, Caiying Yan, Zhuangzhi Yan +5

FDG-PET reveals altered brain metabolism in individuals with mild cognitive impairment (MCI) and Alzheimer's disease (AD). Some biomarkers derived from FDG-PET by computer-aided-di…