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Found 8 papers, 0 papers with code
Is Open-Source There Yet? A Comparative Study on Commercial and Open-Source LLMs in Their Ability to Label Chest X-Ray Reports
While recent publications have explored GPT-4 in its application to extracting information of interest from radiology reports, there has not been a real-world comparison of GPT-4 to different leading open-source models.
Anisotropic Fanning Aware Low-Rank Tensor Approximation Based Tractography
Our technical contributions include an initialization scheme for the new parameters, which is based on the Hessian of the low-rank approximation, pre-integration of the required convolution integrals to reduce the computational effort, and representation of the required 3D rotations with quaternions.
Combining Image Space and q-Space PDEs for Lossless Compression of Diffusion MR Images
Diffusion MRI is a modern neuroimaging modality with a unique ability to acquire microstructural information by measuring water self-diffusion at the voxel level.
Federated Learning for Breast Density Classification: A Real-World Implementation
Building robust deep learning-based models requires large quantities of diverse training data.
Fourth-Order Anisotropic Diffusion for Inpainting and Image Compression
Edge-enhancing diffusion (EED) can reconstruct a close approximation of an original image from a small subset of its pixels.
Classification on Large Networks: A Quantitative Bound via Motifs and Graphons
When each data point is a large graph, graph statistics such as densities of certain subgraphs (motifs) can be used as feature vectors for machine learning.
Multi-Scale Anisotropic Fourth-Order Diffusion Improves Ridge and Valley Localization
Ridge and valley enhancing filters are widely used in applications such as vessel detection in medical image computing.
Fuzzy Fibers: Uncertainty in dMRI Tractography
Fiber tracking based on diffusion weighted Magnetic Resonance Imaging (dMRI) allows for noninvasive reconstruction of fiber bundles in the human brain.
