activity
20172021
most citedA hybrid model for predicting human physical activity status from lifelogging data

24 citations · 66 across the 5 of their papers we have counts for

collaborators

5 papers

physics.med-ph2021

Optimal Configuration of Proton Therapy Accelerators for Proton Computed Tomography RSP Resolution

Alexander T. Herrod, Alasdair Winter, Serena Psoroulas +5

The determination of relative stopping power (RSP) via proton computed tomography (pCT) of a patient is dependent in part on the knowledge of the incoming proton kinetic energies;…

cs.CV2019★ 18 cited

MRI Brain Tumor Segmentation using Random Forests and Fully Convolutional Networks

Mohammadreza Soltaninejad, Lei Zhang, Tryphon Lambrou +3

In this paper, we propose a novel learning based method for automated segmentation of brain tumor in multimodal MRI images, which incorporates two sets of machine -learned and hand…

cs.CY2019★ 24 cited

A hybrid model for predicting human physical activity status from lifelogging data

Ji Ni, Bowei Chen, Nigel M. Allinson +1

One trend in the recent healthcare transformations is people are encouraged to monitor and manage their health based on their daily diets and physical activity habits. However, muc…

cs.CV2018★ 13 cited

Automatic individual pig detection and tracking in surveillance videos

Lei Zhang, Helen Gray, Xujiong Ye +2

Individual pig detection and tracking is an important requirement in many video-based pig monitoring applications. However, it still remains a challenging task in complex scenes, d…

cs.CV2017★ 11 cited

Multimodal MRI brain tumor segmentation using random forests with features learned from fully convolutional neural network

Mohammadreza Soltaninejad, Lei Zhang, Tryphon Lambrou +2

In this paper, we propose a novel learning based method for automated segmenta-tion of brain tumor in multimodal MRI images. The machine learned features from fully convolutional n…