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BMapOpt: Optimization of Brain Tissue Probability Maps using a Differentiable MRI Simulator
Reconstructing digital brain phantoms in the form of multi-channeled brain tissue probability maps for individual subjects is essential for capturing brain anatomical variability, understanding neurological diseases, as well as for testing image processing methods.
GaSpCT: Gaussian Splatting for Novel CT Projection View Synthesis
Furthermore, we empirically observe reduced training time compared to neural network based image synthesis for sparse-view CT image reconstruction.
Modified LAB Algorithm with Clustering-based Search Space Reduction Method for solving Engineering Design Problems
Furthermore, a Clustering-Based Search Space Reduction (C-SSR) method is proposed, making the algorithm capable to solve constrained problems.
LEAF-QA: Locate, Encode & Attend for Figure Question Answering
LEAF-QA being constructed from real-world sources, requires a novel architecture to enable question answering.
Document Chunking and Learning Objective Generation for Instruction Design
Instructional Systems Design is the practice of creating of instructional experiences that make the acquisition of knowledge and skill more efficient, effective, and appealing.
