Tag: deep learning
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Vision Transformers Predict Chemotherapy Response in Ovarian Cancer
Discover how vision transformers and CT imaging predict chemotherapy response in high-grade serous ovarian carcinoma, aiding preoperative decisions.
Scaling Laws and Generalization in MoE Transformers
Explore key scaling laws and generalization bounds for Mixture-of-Experts Transformers to optimize model size, data, and compute trade-offs.
Adaptive Dual Residual U-Net for Accurate Glioma Segmentation
Discover ADRUwAMS, an advanced U-Net model with attention gates and multiscale spatial attention for precise glioma tumor detection and segmentation.
PSIRNet: Fast Deep Learning Cardiac MRI Enhancement
PSIRNet uses deep learning for rapid, free-breathing cardiac MRI, producing high-quality images in seconds and reducing scan time up to 24-fold.
Detecting Silent Correctness Bugs in PyTorch Compiler
Explore how AlignGuard detects silent correctness bugs in PyTorch compiler, improving reliability for AI and deep learning models.