activity
20192022
most citedBrain tumour segmentation using cascaded 3D densely-connected U-net

3 citations · 5 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV20221 cited

Computed tomography coronary angiogram images, annotations and associated data of normal and diseased arteries

Ramtin Gharleghi, Dona Adikari, Katy Ellenberger +5

Computed Tomography Coronary Angiography (CTCA) is a non-invasive method to evaluate coronary artery anatomy and disease. CTCA is ideal for geometry reconstruction to create virtua…

cs.CV2020

Video Generative Adversarial Networks: A Review

Nuha Aldausari, Arcot Sowmya, Nadine Marcus +1

With the increasing interest in the content creation field in multiple sectors such as media, education, and entertainment, there is an increasing trend in the papers that uses AI…

eess.IV20203 cited

Brain tumour segmentation using cascaded 3D densely-connected U-net

Mina Ghaffari, Arcot Sowmya, Ruth Oliver

Accurate brain tumour segmentation is a crucial step towards improving disease diagnosis and proper treatment planning. In this paper, we propose a deep-learning based method to se…

cs.LG20191 cited

Scalable Inference for Nonparametric Hawkes Process Using Pólya-Gamma Augmentation

Feng Zhou, Zhidong Li, Xuhui Fan +3

In this paper, we consider the sigmoid Gaussian Hawkes process model: the baseline intensity and triggering kernel of Hawkes process are both modeled as the sigmoid transformation…

stat.AP2019

Fast Multi-resolution Segmentation for Nonstationary Hawkes Process Using Cumulants

Feng Zhou, Zhidong Li, Xuhui Fan +3

The stationarity is assumed in vanilla Hawkes process, which reduces the model complexity but introduces a strong assumption. In this paper, we propose a fast multi-resolution segm…