1 citations · 2 across the 5 of their papers we have counts for
4 papers · 1 filter
Semi-Supervised Anomaly Detection in Brain MRI Using a Domain-Agnostic Deep Reinforcement Learning Approach
Zeduo Zhang, Yalda Mohsenzadeh
To develop a domain-agnostic, semi-supervised anomaly detection framework that integrates deep reinforcement learning (DRL) to address challenges such as large-scale data, overfitt…
Modeling Visual Memorability Assessment with Autoencoders Reveals Characteristics of Memorable Images
Elham Bagheri, Yalda Mohsenzadeh
Image memorability refers to the phenomenon where certain images are more likely to be remembered than others. It is a quantifiable and intrinsic image attribute, defined as the li…
Efficient Slice Anomaly Detection Network for 3D Brain MRI Volume
Zeduo Zhang, Yalda Mohsenzadeh
Current anomaly detection methods excel with benchmark industrial data but struggle with natural images and medical data due to varying definitions of 'normal' and 'abnormal.' This…
Multi-modal News Understanding with Professionally Labelled Videos (ReutersViLNews)
Shih-Han Chou, Matthew Kowal, Yasmin Niknam +8
While progress has been made in the domain of video-language understanding, current state-of-the-art algorithms are still limited in their ability to understand videos at high leve…