2 citations · 2 across the 8 of their papers we have counts for
8 papers
Non-negative Subspace Feature Representation for Few-shot Learning in Medical Imaging
Keqiang Fan, Xiaohao Cai, Mahesan Niranjan
Unlike typical visual scene recognition domains, in which massive datasets are accessible to deep neural networks, medical image interpretations are often obstructed by the paucity…
Thinking Outside the Box: Orthogonal Approach to Equalizing Protected Attributes
Jiahui Liu, Xiaohao Cai, Mahesan Niranjan
There is growing concern that the potential of black box AI may exacerbate health-related disparities and biases such as gender and ethnicity in clinical decision-making. Biased de…
TransNet: A Transfer Learning-Based Network for Human Action Recognition
K. Alomar, X. Cai
Human action recognition (HAR) is a high-level and significant research area in computer vision due to its ubiquitous applications. The main limitations of the current HAR models a…
IIHT: Medical Report Generation with Image-to-Indicator Hierarchical Transformer
Keqiang Fan, Xiaohao Cai, Mahesan Niranjan
Automated medical report generation has become increasingly important in medical analysis. It can produce computer-aided diagnosis descriptions and thus significantly alleviate the…
Proximal nested sampling with data-driven priors for physical scientists
Jason D. McEwen, Tobías I. Liaudat, Matthew A. Price +2
Proximal nested sampling was introduced recently to open up Bayesian model selection for high-dimensional problems such as computational imaging. The framework is suitable for mode…
A Bilevel Formalism for the Peer-Reviewing Problem
Gennaro Auricchio, Ruixiao Zhang, Jie Zhang +1
Due to the large number of submissions that more and more conferences experience, finding an automatized way to well distribute the submitted papers among reviewers has become nece…