Ali Gooya
Ali Gooya
Verificeret mail på glasgow.ac.uk
Citeret af
Citeret af
A multi-organ nucleus segmentation challenge
N Kumar, R Verma, D Anand, Y Zhou, OF Onder, E Tsougenis, H Chen, ...
IEEE transactions on medical imaging 39 (5), 1380-1391, 2019
A review of heart chamber segmentation for structural and functional analysis using cardiac magnetic resonance imaging
P Peng, K Lekadir, A Gooya, L Shao, SE Petersen, AF Frangi
Magnetic Resonance Materials in Physics, Biology and Medicine 29, 155-195, 2016
GLISTR: glioma image segmentation and registration
A Gooya, KM Pohl, M Bilello, L Cirillo, G Biros, ER Melhem, C Davatzikos
IEEE transactions on medical imaging 31 (10), 1941-1954, 2012
Deformable registration of glioma images using EM algorithm and diffusion reaction modeling
A Gooya, G Biros, C Davatzikos
IEEE transactions on medical imaging 30 (2), 375-390, 2010
Reconstruction of coronary arteries from X-ray angiography: A review
S Çimen, A Gooya, M Grass, AF Frangi
Medical image analysis 32, 46-68, 2016
A variational method for geometric regularization of vascular segmentation in medical images
A Gooya, H Liao, K Matsumiya, K Masamune, Y Masutani, T Dohi
IEEE Transactions on Image Processing 17 (8), 1295-1312, 2008
Supervised saliency map driven segmentation of lesions in dermoscopic images
M Jahanifar, NZ Tajeddin, BM Asl, A Gooya
IEEE journal of biomedical and health informatics 23 (2), 509-518, 2018
Statistical shape modeling of the left ventricle: myocardial infarct classification challenge
A Suinesiaputra, P Ablin, X Alba, M Alessandrini, J Allen, W Bai, S Cimen, ...
IEEE journal of biomedical and health informatics 22 (2), 503-515, 2017
Joint segmentation and deformable registration of brain scans guided by a tumor growth model
A Gooya, KM Pohl, M Bilello, G Biros, C Davatzikos
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011: 14th …, 2011
Fully automatic detection of lung nodules in CT images using a hybrid feature set
F Shaukat, G Raja, A Gooya, AF Frangi
Medical physics 44 (7), 3615-3629, 2017
Semi-supervised assessment of incomplete LV coverage in cardiac MRI using generative adversarial nets
L Zhang, A Gooya, AF Frangi
Simulation and Synthesis in Medical Imaging: Second International Workshop …, 2017
Quantitative CMR population imaging on 20,000 subjects of the UK Biobank imaging study: LV/RV quantification pipeline and its evaluation
R Attar, M Pereañez, A Gooya, X Albà, L Zhang, MH de Vila, AM Lee, ...
Medical image analysis 56, 26-42, 2019
Automated quality assessment of cardiac MR images using convolutional neural networks
L Zhang, A Gooya, B Dong, R Hua, SE Petersen, P Medrano-Gracia, ...
Simulation and Synthesis in Medical Imaging: First International Workshop …, 2016
Segmentation of skin lesions and their attributes using multi-scale convolutional neural networks and domain specific augmentations
M Jahanifar, NZ Tajeddin, NA Koohbanani, A Gooya, N Rajpoot
arXiv preprint arXiv:1809.10243, 2018
Group-wise similarity registration of point sets using Student’s t-mixture model for statistical shape models
N Ravikumar, A Gooya, S Çimen, AF Frangi, ZA Taylor
Medical image analysis 44, 156-176, 2018
Nuclear instance segmentation using a proposal-free spatially aware deep learning framework
N Alemi Koohbanani, M Jahanifar, A Gooya, N Rajpoot
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
Generalised coherent point drift for group-wise registration of multi-dimensional point sets
N Ravikumar, A Gooya, AF Frangi, ZA Taylor
Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017
Simulation and Synthesis in Medical Imaging
HC Shin, NA Tenenholtz, JK Rogers, CG Schwarz, ML Senjem, JL Gunter, ...
Cham: Springer, 2018
Automatic assessment of full left ventricular coverage in cardiac cine magnetic resonance imaging with fisher-discriminative 3-D CNN
L Zhang, A Gooya, M Pereanez, B Dong, SK Piechnik, S Neubauer, ...
IEEE Transactions on Biomedical Engineering 66 (7), 1975-1986, 2018
Deep learning for radiotherapy outcome prediction using dose data – a review
AL Appel, B Elhaminia, A Gooya, A Gilbert, M Nix
Clinical Oncology, 2021
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