Qiang Zhang

According to our database, Qiang Zhang authored at least 12 papers between 2015 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Deep neural network ensemble for on-the-fly quality control-driven segmentation of cardiac MRI T1 mapping.

Evan Hann, Iulia A. Popescu, Qiang Zhang, Ricardo A. Gonzales, Ahmet Barutcu, Stefan Neubauer, Vanessa M. Ferreira, Stefan K. Piechnik

Medical Image Anal., 2021

Ensemble of Deep Convolutional Neural Networks with Monte Carlo Dropout Sampling for Automated Image Segmentation Quality Control and Robust Deep Learning Using Small Datasets.

Evan Hann, Ricardo A. Gonzales, Iulia A. Popescu, Qiang Zhang, Vanessa M. Ferreira, Stefan K. Piechnik

Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021

2020

Total Mapping Toolbox (TOMATO): An open source library for cardiac magnetic resonance parametric mapping.

Konrad Werys, Iulius Dragonu, Qiang Zhang, Iulia A. Popescu, Evan Hann, Henrike Puchta, Agata Kubik, Dogan Polat, Cody Wu, Niall O. Moon, Ahmet Barutcu, Vanessa M. Ferreira, Stefan K. Piechnik

SoftwareX, 2020

Deep learning with attention supervision for automated motion artefact detection in quality control of cardiac T1-mapping.

Qiang Zhang, Evan Hann, Konrad Werys, Cody Wu, Iulia A. Popescu, Elena Lukaschuk, Ahmet Barutcu, Vanessa M. Ferreira, Stefan K. Piechnik

Artif. Intell. Medicine, 2020

2019

Quality Control-Driven Image Segmentation Towards Reliable Automatic Image Analysis in Large-Scale Cardiovascular Magnetic Resonance Aortic Cine Imaging.

Evan Hann, Luca Biasiolli, Qiang Zhang, Iulia A. Popescu, Konrad Werys, Elena Lukaschuk, Valentina Carapella, José Miguel Paiva, Nay Aung, Jennifer J. Rayner, Kenneth Fung, Henrike Puchta, Mihir M. Sanghvi, Niall O. Moon, Katharine E. Thomas, Vanessa M. Ferreira, Steffen E. Petersen, Stefan Neubauer, Stefan K. Piechnik

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2017

Appearance modelling, pathology classification and evidence pinpointing for medical image analysis.

Qiang Zhang

PhD thesis, 2017

Deformable appearance pyramids for anatomy representation, landmark detection and pathology classification.

Qiang Zhang, Abhir Bhalerao, Charles Hutchinson

Int. J. Comput. Assist. Radiol. Surg., 2017

Weakly-Supervised Evidence Pinpointing and Description.

Qiang Zhang, Abhir Bhalerao, Charles Hutchinson

Proceedings of the Information Processing in Medical Imaging, 2017

2016

Active appearance pyramids for object parametrisation and fitting.

Qiang Zhang, Abhir Bhalerao, Edward Dickenson, Charles Hutchinson

Medical Image Anal., 2016

Wavelet Appearance Pyramids for Landmark Detection and Pathology Classification: Application to Lumbar Spinal Stenosis.

Qiang Zhang, Abhir Bhalerao, Caron Parsons, Emma Helm, Charles Hutchinson

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Loglet SIFT for Part Description in Deformable Part Models: Application to Face Alignment.

Qiang Zhang, Abhir Bhalerao

Proceedings of the British Machine Vision Conference 2016, 2016

2015

Active shape model unleashed with multi-scale local appearance.

Qiang Zhang, Abhir Bhalerao, Emma Helm, Charles Hutchinson

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015