MultiIB‐TransUNet: Transformer with multiple information bottleneck blocks for CT and ultrasound image segmentation

G Li, D Jin, Q Yu, Y Zheng, M Qi - Medical Physics, 2024 - Wiley Online Library
Background Accurate medical image segmentation is crucial for disease diagnosis and
surgical planning. Transformer networks offer a promising alternative for medical image …

Combating Spurious Correlations in Loose‐fitting Garment Animation Through Joint‐Specific Feature Learning

J Diao, J Xiao, Y He, H Jiang - Computer Graphics Forum, 2023 - Wiley Online Library
We address the 3D animation of loose‐fitting garments from a sequence of body motions.
State‐of‐the‐art approaches treat all body joints as a whole to encode motion features …

Deep deformation detail synthesis for thin shell models

L Chen, L Gao, J Yang, S Xu, J Ye… - Computer Graphics …, 2023 - Wiley Online Library
In physics‐based cloth animation, rich folds and detailed wrinkles are achieved at the cost of
expensive computational resources and huge labor tuning. Data‐driven techniques make …

Neural Garment Dynamics via Manifold‐Aware Transformers

P Li, TY Wang, TL Kesdogan, D Ceylan… - Computer Graphics …, 2024 - Wiley Online Library
Data driven and learning based solutions for modeling dynamic garments have significantly
advanced, especially in the context of digital humans. However, existing approaches often …

An online diagnosis method for cancer lesions based on intelligent imaging analysis

G Gu, L Shen, X Zhou - Open Life Sciences, 2023 - degruyter.com
With the popularization and application of artificial intelligence and medical image big data
in the field of medical image, the universality of modes and the rapid development of deep …

Transformer‐and joint learning‐based dual‐domain networks for undersampled MRI segmentation

J Duan, Z Huang, Y Xie, J Wang, Y Liu - Medical Physics - Wiley Online Library
Background Recently, magnetic resonance imaging (MRI) has become a crucial medical
imaging technology widely used in clinical practice. However, MRI faces challenges such as …

Reconstruction of patient-specific confounders in AI-based radiologic image interpretation using generative pretraining

T Han, L Žigutytė, L Huck, MS Huppertz… - Cell Reports …, 2024 - cell.com
Reliably detecting potentially misleading patterns in automated diagnostic assistance
systems, such as those powered by artificial intelligence (AI), is crucial for instilling user trust …