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20232026
most citedData and Physics driven Deep Learning Models for Fast MRI Reconstruction: Fundamentals and Methodologies

13 citations · 16 across the 20 of their papers we have counts for

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7 papers · 1 filter

eess.IV2025

Unpaired Translation of Chest X-ray Images for Lung Opacity Diagnosis via Adaptive Activation Masks and Cross-Domain Alignment

Junzhi Ning, Dominic Marshall, Yijian Gao +5

Chest X-ray radiographs (CXRs) play a pivotal role in diagnosing and monitoring cardiopulmonary diseases. However, lung opacities in CXRs frequently obscure anatomical structures,…

eess.IV2024

Enhancing Weakly Supervised Semantic Segmentation for Fibrosis via Controllable Image Generation

Zhiling Yue, Yingying Fang, Liutao Yang +3

Fibrotic Lung Disease (FLD) is a severe condition marked by lung stiffening and scarring, leading to respiratory decline. High-resolution computed tomography (HRCT) is critical for…

eess.IV2024

Learning Task-Specific Sampling Strategy for Sparse-View CT Reconstruction

Liutao Yang, Jiahao Huang, Yingying Fang +4

Sparse-View Computed Tomography (SVCT) offers low-dose and fast imaging but suffers from severe artifacts. Optimizing the sampling strategy is an essential approach to improving th…

eess.IV2024

Probing Perfection: The Relentless Art of Meddling for Pulmonary Airway Segmentation from HRCT via a Human-AI Collaboration Based Active Learning Method

Shiyi Wang, Yang Nan, Sheng Zhang +6

In pulmonary tracheal segmentation, the scarcity of annotated data is a prevalent issue in medical segmentation. Additionally, Deep Learning (DL) methods face challenges: the opaci…

eess.IV2024

Fuzzy Attention-based Border Rendering Network for Lung Organ Segmentation

Sheng Zhang, Yang Nan, Yingying Fang +4

Automatic lung organ segmentation on CT images is crucial for lung disease diagnosis. However, the unlimited voxel values and class imbalance of lung organs can lead to false-negat…

eess.IV2024

Diff3Dformer: Leveraging Slice Sequence Diffusion for Enhanced 3D CT Classification with Transformer Networks

Zihao Jin, Yingying Fang, Jiahao Huang +3

The manifestation of symptoms associated with lung diseases can vary in different depths for individual patients, highlighting the significance of 3D information in CT scans for me…