On the analyses of medical images using traditional machine learning techniques and convolutional neural networks
Convolutional neural network (CNN) has shown dissuasive accomplishment on different
areas especially Object Detection, Segmentation, Reconstruction (2D and 3D), Information …
areas especially Object Detection, Segmentation, Reconstruction (2D and 3D), Information …
Analytic mutual information in bayesian neural networks
JO Woo - 2022 IEEE International Symposium on Information …, 2022 - ieeexplore.ieee.org
Bayesian neural networks have successfully designed and optimized a robust neural
network model in many application problems, including uncertainty quantification. However …
network model in many application problems, including uncertainty quantification. However …
Self-Supervised Contrastive Representation Learning for 3D Mesh Segmentation
3D deep learning is a growing field of interest due to the vast amount of information stored in
3D formats. Triangular meshes are an efficient representation for irregular, non-uniform 3D …
3D formats. Triangular meshes are an efficient representation for irregular, non-uniform 3D …
[PDF][PDF] TRANSFORMING OUR DNA—GENOTYPING STRUCTURAL VARIANTS USING VISION TRANSFORMERS
B Allan-Rahill - 2023 - benji.ar
Structural Variants (SVs), are changes from the reference DNA, greater than 50 DNA base-
pairs in size. SVs play a significant role in disease [3, 47]. However, discovery—detecting …
pairs in size. SVs play a significant role in disease [3, 47]. However, discovery—detecting …