MultiIB‐TransUNet: Transformer with multiple information bottleneck blocks for CT and ultrasound image segmentation
Background Accurate medical image segmentation is crucial for disease diagnosis and
surgical planning. Transformer networks offer a promising alternative for medical image …
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 …
State‐of‐the‐art approaches treat all body joints as a whole to encode motion features …
Deep deformation detail synthesis for thin shell models
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 …
expensive computational resources and huge labor tuning. Data‐driven techniques make …
Neural Garment Dynamics via Manifold‐Aware Transformers
Data driven and learning based solutions for modeling dynamic garments have significantly
advanced, especially in the context of digital humans. However, existing approaches often …
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 …
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 …
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 …
systems, such as those powered by artificial intelligence (AI), is crucial for instilling user trust …