Semantic Aware Data Augmentation for Cell Nuclei Microscopical Images With Artificial Neural Networks

no code implementations • ICCV 2021 • Alireza Naghizadeh, Hongye Xu, Mohab Mohamed, Dimitris N. Metaxas, Dongfang Liu

The importance of this subject is nested in the amount of training data that artificial neural networks need to accurately identify and segment objects in images and the infeasibility of acquiring a sufficient dataset within the biomedical field.

Data Augmentation object-detection +3

Deep Subspace Clustering with Data Augmentation

no code implementations • NeurIPS 2020 • Mahdi Abavisani, Alireza Naghizadeh, Dimitris Metaxas, Vishal Patel

In particular, we introduce a temporal ensembling component to the objective function of DSC algorithms to enable the DSC networks to maintain consistent subspaces for random transformations in the input data.

Clustering Data Augmentation

Greedy AutoAugment

2 code implementations • 2 Aug 2019 • Alireza Naghizadeh, Mohammadsajad Abavisani, Dimitris N. Metaxas

This is a challenging problem and requires exploration for data augmentation policies to ensure their effectiveness in covering the search space.

Data Augmentation

BSROne: Binary Search with Routing of O(1); A Scalable Circular Design for Distributed Networks

no code implementations • 12 Aug 2014 • Alireza Naghizadeh, Tahereh Yourdkhani, Behrooz Razeghi, Ehsan Meamari

Peer-to-Peer (P2P) networks as distributed solutions are used in a variety of applications.