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Ali Gooya
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2020 – today
- 2024
- [j23]Arezoo Zakeri, Alireza Hokmabadi, Michael G. Nix, Ali Gooya, Isuru Wijesinghe, Zeike A. Taylor:
4D-Precise: Learning-based 3D motion estimation and high temporal resolution 4DCT reconstruction from treatment 2D+t X-ray projections. Comput. Methods Programs Biomed. 250: 108158 (2024) - [j22]Lucy Godson, Navid Alemi Koohbanani, Jeremie Nsengimana, Graham P. Cook, Emily L. Clarke, Darren Treanor, D. Timothy Bishop, Julia Newton-Bishop, Ali Gooya, Derek R. Magee:
Immune subtyping of melanoma whole slide images using multiple instance learning. Medical Image Anal. 93: 103097 (2024) - [i8]Soodeh Kalaie, Andy Bulpitt, Alejandro F. Frangi, Ali Gooya:
An End-to-End Deep Learning Generative Framework for Refinable Shape Matching and Generation. CoRR abs/2403.06317 (2024) - [i7]Isuru Wijesinghe, Michael G. Nix, Arezoo Zakeri, Alireza Hokmabadi, Bashar Al-Qaisieh, Ali Gooya, Zeike A. Taylor:
Deep-Motion-Net: GNN-based volumetric organ shape reconstruction from single-view 2D projections. CoRR abs/2407.06692 (2024) - 2023
- [j21]Arezoo Zakeri, Alireza Hokmabadi, Ning Bi, Isuru Wijesinghe, Michael G. Nix, Steffen E. Petersen, Alejandro F. Frangi, Zeike A. Taylor, Ali Gooya:
DragNet: Learning-based deformable registration for realistic cardiac MR sequence generation from a single frame. Medical Image Anal. 83: 102678 (2023) - [j20]Behnaz Elhaminia, Alexandra Gilbert, John Lilley, Moloud Abdar, Alejandro F. Frangi, Andrew F. Scarsbrook, Ane Appelt, Ali Gooya:
Toxicity Prediction in Pelvic Radiotherapy Using Multiple Instance Learning and Cascaded Attention Layers. IEEE J. Biomed. Health Informatics 27(4): 1958-1966 (2023) - [c27]Behnaz Elhaminia, Alexandra Gilbert, Alejandro F. Frangi, Andrew F. Scarsbrook, John Lilley, Ane Appelt, Ali Gooya:
Deep learning with visual explanation for radiotherapy-induced toxicity prediction. Computer-Aided Diagnosis 2023 - [c26]Soodeh Kalaie, Andrew J. Bulpitt, Alejandro F. Frangi, Ali Gooya:
A Geometric Deep Learning Framework for Generation of Virtual Left Ventricles as Graphs. MIDL 2023: 426-443 - 2022
- [j19]Arezoo Zakeri, Alireza Hokmabadi, Nishant Ravikumar, Alejandro F. Frangi, Ali Gooya:
A probabilistic deep motion model for unsupervised cardiac shape anomaly assessment. Medical Image Anal. 75: 102276 (2022) - [c25]Lucy Godson, Navid Alemi Koohbanani, Jeremie Nsengimana, Graham P. Cook, Emily L. Clarke, Darren Treanor, D. Timothy Bishop, Julia Newton-Bishop, Ali Gooya:
Weakly-supervised learning for image-based classification of primary melanomas into genomic immune subgroups. MIDL 2022: 423-440 - [i6]Lucy Godson, Navid Alemi Koohbanani, Jeremie Nsengimana, Graham P. Cook, Emily L. Clarke, Darren Treanor, D. Timothy Bishop, Julia Newton-Bishop, Ali Gooya:
Weakly-supervised learning for image-based classification of primary melanomas into genomic immune subgroups. CoRR abs/2202.11524 (2022) - 2020
- [j18]Neeraj Kumar, Ruchika Verma, Deepak Anand, Yanning Zhou, Omer Fahri Onder, Efstratios Tsougenis, Hao Chen, Pheng-Ann Heng, Jiahui Li, Zhiqiang Hu, Yunzhi Wang, Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajeddin, Ali Gooya, Nasir M. Rajpoot, Xuhua Ren, Sihang Zhou, Qian Wang, Dinggang Shen, Cheng-Kun Yang, Chi-Hung Weng, Wei-Hsiang Yu, Chao-Yuan Yeh, Shuang Yang, Shuoyu Xu, Pak-Hei Yeung, Peng Sun, Amirreza Mahbod, Gerald Schaefer, Isabella Ellinger, Rupert Ecker, Örjan Smedby, Chunliang Wang, Benjamin Chidester, That-Vinh Ton, Minh-Triet Tran, Jian Ma, Minh N. Do, Simon Graham, Quoc Dang Vu, Jin Tae Kwak, Akshaykumar Gunda, Raviteja Chunduri, Corey Hu, Xiaoyang Zhou, Dariush Lotfi, Reza Safdari, Antanas Kascenas, Alison O'Neil, Dennis Eschweiler, Johannes Stegmaier, Yanping Cui, Baocai Yin, Kailin Chen, Xinmei Tian, Philipp Grüning, Erhardt Barth, Elad Arbel, Itay Remer, Amir Ben-Dor, Ekaterina Sirazitdinova, Matthias Kohl, Stefan Braunewell, Yuexiang Li, Xinpeng Xie, Linlin Shen, Jun Ma, Krishanu Das Baksi, Mohammad Azam Khan, Jaegul Choo, Adrián Colomer, Valery Naranjo, Linmin Pei, Khan M. Iftekharuddin, Kaushiki Roy, Debotosh Bhattacharjee, Aníbal Pedraza, Maria Gloria Bueno, Sabarinathan Devanathan, Saravanan Radhakrishnan, Praveen Koduganty, Zihan Wu, Guanyu Cai, Xiaojie Liu, Yuqin Wang, Amit Sethi:
A Multi-Organ Nucleus Segmentation Challenge. IEEE Trans. Medical Imaging 39(5): 1380-1391 (2020)
2010 – 2019
- 2019
- [j17]Nishant Ravikumar, Ali Gooya, Leandro Beltrachini, Alejandro F. Frangi, Zeike A. Taylor:
Generalised coherent point drift for group-wise multi-dimensional analysis of diffusion brain MRI data. Medical Image Anal. 53: 47-63 (2019) - [j16]Rahman Attar, Marco Pereañez, Ali Gooya, Xènia Albà, Le Zhang, Milton Hoz de Vila, Aaron M. Lee, Nay Aung, Elena Lukaschuk, Mihir M. Sanghvi, Kenneth Fung, José Miguel Paiva, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi:
Quantitative CMR population imaging on 20, 000 subjects of the UK Biobank imaging study: LV/RV quantification pipeline and its evaluation. Medical Image Anal. 56: 26-42 (2019) - [j15]Le Zhang, Ali Gooya, Marco Pereañez, Bo Dong, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi:
Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging With Fisher-Discriminative 3-D CNN. IEEE Trans. Biomed. Eng. 66(7): 1975-1986 (2019) - [j14]Hamid Fehri, Ali Gooya, Yuanjun Lu, Erik Meijering, Simon A. Johnston, Alejandro F. Frangi:
Bayesian Polytrees With Learned Deep Features for Multi-Class Cell Segmentation. IEEE Trans. Image Process. 28(7): 3246-3260 (2019) - [j13]Mostafa Jahanifar, Neda Zamani Tajeddin, Babak Mohammadzadeh Asl, Ali Gooya:
Supervised Saliency Map Driven Segmentation of Lesions in Dermoscopic Images. IEEE J. Biomed. Health Informatics 23(2): 509-518 (2019) - [c24]Navid Alemi Koohbanani, Mostafa Jahanifar, Ali Gooya, Nasir M. Rajpoot:
Nuclear Instance Segmentation Using a Proposal-Free Spatially Aware Deep Learning Framework. MICCAI (1) 2019: 622-630 - [e4]Ninon Burgos, Ali Gooya, David Svoboda:
Simulation and Synthesis in Medical Imaging - 4th International Workshop, SASHIMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings. Lecture Notes in Computer Science 11827, Springer 2019, ISBN 978-3-030-32777-4 [contents] - [i5]Rahman Attar, Marco Pereañez, Ali Gooya, Xènia Albà, Le Zhang, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi:
High Throughput Computation of Reference Ranges of Biventricular Cardiac Function on the UK Biobank Population Cohort. CoRR abs/1901.03326 (2019) - 2018
- [j12]Nishant Ravikumar, Ali Gooya, Serkan Çimen, Alejandro F. Frangi, Zeike A. Taylor:
Group-wise similarity registration of point sets using Student's t-mixture model for statistical shape models. Medical Image Anal. 44: 156-176 (2018) - [j11]Ali Gooya, Karim Lekadir, Isaac Castro-Mateos, José María Pozo, Alejandro F. Frangi:
Mixture of Probabilistic Principal Component Analyzers for Shapes from Point Sets. IEEE Trans. Pattern Anal. Mach. Intell. 40(4): 891-904 (2018) - [j10]Avan Suinesiaputra, Pierre Ablin, Xènia Albà, Martino Alessandrini, Jack Allen, Wenjia Bai, Serkan Çimen, Peter Claes, Brett R. Cowan, Jan D'hooge, Nicolas Duchateau, Jan Ehrhardt, Alejandro F. Frangi, Ali Gooya, Vicente Grau, Karim Lekadir, Allen Lu, Anirban Mukhopadhyay, Ilkay Öksüz, Nripesh Parajuli, Xavier Pennec, Marco Pereañez, Catarina Pinto, Paolo Piras, Marc-Michel Rohé, Daniel Rueckert, Dennis Säring, Maxime Sermesant, Kaleem Siddiqi, Mahdi Tabassian, Luciano Teresi, Sotirios A. Tsaftaris, Matthias Wilms, Alistair A. Young, Xingyu Zhang, Pau Medrano-Gracia:
Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge. IEEE J. Biomed. Health Informatics 22(2): 503-515 (2018) - [c23]Rahman Attar, Marco Pereañez, Ali Gooya, Xènia Albà, Le Zhang, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi:
High Throughput Computation of Reference Ranges of Biventricular Cardiac Function on the UK Biobank Population Cohort. STACOM@MICCAI 2018: 114-121 - [c22]Navid Alemi Koohbanani, Mostafa Jahanifar, Ali Gooya, Nasir M. Rajpoot:
Nuclei Detection Using Mixture Density Networks. MLMI@MICCAI 2018: 241-248 - [e3]Ali Gooya, Orcun Goksel, Ipek Oguz, Ninon Burgos:
Simulation and Synthesis in Medical Imaging - Third International Workshop, SASHIMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings. Lecture Notes in Computer Science 11037, Springer 2018, ISBN 978-3-030-00535-1 [contents] - [i4]Navid Alemi Koohbanani, Mostafa Jahanifar, Ali Gooya, Nasir M. Rajpoot:
Nuclei Detection Using Mixture Density Networks. CoRR abs/1808.08279 (2018) - [i3]Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajeddin, Ali Gooya, Nasir M. Rajpoot:
Leveraging Transfer Learning for Segmenting Lesions and their Attributes in Dermoscopy Images. CoRR abs/1809.10243 (2018) - [i2]Le Zhang, Ali Gooya, Marco Pereañez, Bo Dong, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi:
Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging with Fisher-Discriminative 3D CNN. CoRR abs/1811.02688 (2018) - 2017
- [j9]Soodeh Kalaie, Ali Gooya:
Vascular tree tracking and bifurcation points detection in retinal images using a hierarchical probabilistic model. Comput. Methods Programs Biomed. 151: 139-149 (2017) - [c21]Hamid Fehri, Ali Gooya, Simon A. Johnston, Alejandro F. Frangi:
Multi-class Image Segmentation in Fluorescence Microscopy Using Polytrees. IPMI 2017: 517-528 - [c20]Le Zhang, Ali Gooya, Alejandro F. Frangi:
Semi-supervised Assessment of Incomplete LV Coverage in Cardiac MRI Using Generative Adversarial Nets. SASHIMI@MICCAI 2017: 61-68 - [c19]Nishant Ravikumar, Ali Gooya, Alejandro F. Frangi, Zeike A. Taylor:
Generalised Coherent Point Drift for Group-Wise Registration of Multi-dimensional Point Sets. MICCAI (1) 2017: 309-316 - [e2]Sotirios A. Tsaftaris, Ali Gooya, Alejandro F. Frangi, Jerry L. Prince:
Simulation and Synthesis in Medical Imaging - Second International Workshop, SASHIMI 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10, 2017, Proceedings. Lecture Notes in Computer Science 10557, Springer 2017, ISBN 978-3-319-68126-9 [contents] - [i1]Mostafa Jahanifar, Neda Zamani Tajeddin, Ali Gooya, Babak Mohammadzadeh Asl:
Segmentation of Lesions in Dermoscopy Images Using Saliency Map And Contour Propagation. CoRR abs/1703.00087 (2017) - 2016
- [j8]Serkan Çimen, Ali Gooya, Michael Grass, Alejandro F. Frangi:
Reconstruction of coronary arteries from X-ray angiography: A review. Medical Image Anal. 32: 46-68 (2016) - [j7]Alejandro F. Frangi, Zeike A. Taylor, Ali Gooya:
Precision Imaging: more descriptive, predictive and integrative imaging. Medical Image Anal. 33: 27-32 (2016) - [c18]Le Zhang, Ali Gooya, Bo Dong, Rui Hua, Steffen E. Petersen, Pau Medrano-Gracia, Alejandro F. Frangi:
Automated Quality Assessment of Cardiac MR Images Using Convolutional Neural Networks. SASHIMI@MICCAI 2016: 138-145 - [c17]Nishant Ravikumar, Ali Gooya, Serkan Çimen, Alejandro F. Frangi, Zeike A. Taylor:
A Multi-resolution T-Mixture Model Approach to Robust Group-Wise Alignment of Shapes. MICCAI (3) 2016: 142-149 - [c16]Ali Sarrami-Foroushani, Toni Lassila, Jose M. Pozo, Ali Gooya, Alejandro F. Frangi:
Direct Estimation of Wall Shear Stress from Aneurysmal Morphology: A Statistical Approach. MICCAI (3) 2016: 201-209 - [c15]Serkan Çimen, Ali Gooya, Nishant Ravikumar, Zeike A. Taylor, Alejandro F. Frangi:
Reconstruction of Coronary Artery Centrelines from X-Ray Angiography Using a Mixture of Student's t-Distributions. MICCAI (3) 2016: 291-299 - [c14]Nishant Ravikumar, Ali Gooya, Alejandro F. Frangi, Zeike A. Taylor:
Robust group-wise rigid registration of point sets using t-mixture model. Image Processing 2016: 97840S - [c13]Serkan Çimen, Ali Gooya, Alejandro F. Frangi:
Reconstruction of coronary artery centrelines from X-ray rotational angiography using a probabilistic mixture model. Image Processing 2016: 97843A - [e1]Sotirios A. Tsaftaris, Ali Gooya, Alejandro F. Frangi, Jerry L. Prince:
Simulation and Synthesis in Medical Imaging - First International Workshop, SASHIMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings. Lecture Notes in Computer Science 9968, 2016, ISBN 978-3-319-46629-3 [contents] - 2015
- [j6]Sina Shamekhi, Mohammad Hossein Miran Baygi, Bahareh Azarian, Ali Gooya:
A novel multi-scale Hessian based spot enhancement filter for two dimensional gel electrophoresis images. Comput. Biol. Medicine 66: 154-169 (2015) - [j5]Ali Gooya, Christos Davatzikos, Alejandro F. Frangi:
A Bayesian Approach to Sparse Model Selection in Statistical Shape Models. SIAM J. Imaging Sci. 8(2): 858-887 (2015) - [c12]Ali Gooya, Karim Lekadir, Xènia Albà, Andrew J. Swift, Jim M. Wild, Alejandro F. Frangi:
Joint Clustering and Component Analysis of Correspondenceless Point Sets: Application to Cardiac Statistical Modeling. IPMI 2015: 98-109 - [c11]Catarina Pinto, Serkan Çimen, Ali Gooya, Karim Lekadir, Alejandro F. Frangi:
Joint Clustering and Component Analysis of Spatio-Temporal Shape Patterns in Myocardial Infarction. STACOM@MICCAI 2015: 171-179 - 2013
- [c10]Ali Gooya, Elaheh Mousavi, Christos Davatzikos, Hongen Liao:
A Bayesian Approach for Construction of Sparse Statistical Shape Models Using Dirichlet Distribution. AE-CAI 2013: 144-152 - 2012
- [j4]Ali Gooya, Hongen Liao, Ichiro Sakuma:
Generalization of geometrical flux maximizing flow on Riemannian manifolds for improved volumetric blood vessel segmentation. Comput. Medical Imaging Graph. 36(6): 474-483 (2012) - [j3]Ali Gooya, Kilian M. Pohl, Michel Bilello, Luigi Cirillo, George Biros, Elias R. Melhem, Christos Davatzikos:
GLISTR: Glioma Image Segmentation and Registration. IEEE Trans. Medical Imaging 31(10): 1941-1954 (2012) - 2011
- [j2]Ali Gooya, George Biros, Christos Davatzikos:
Deformable Registration of Glioma Images Using EM Algorithm and Diffusion Reaction Modeling. IEEE Trans. Medical Imaging 30(2): 375-390 (2011) - [c9]Christos Davatzikos, Evangelia I. Zacharaki, Ali Gooya, Vanessa Clark:
Multi-parametric analysis and registration of brain tumors: Constructing statistical atlases and diagnostic tools of predictive value. EMBC 2011: 6979-6981 - [c8]Ali Gooya, Kilian M. Pohl, Michel Bilello, George Biros, Christos Davatzikos:
Joint Segmentation and Deformable Registration of Brain Scans Guided by a Tumor Growth Model. MICCAI (2) 2011: 532-540 - 2010
- [c7]Ali Gooya, George Biros, Christos Davatzikos:
An EM algorithm for brain tumor image registration: A tumor growth modeling based approach. CVPR Workshops 2010: 39-46 - [c6]Nematollah Batmanghelich, Ali Gooya, Stathis Kanterakis, Ben Taskar, Christos Davatzikos:
Application of trace-norm and low-rank matrix decomposition for computational anatomy. CVPR Workshops 2010: 146-153
2000 – 2009
- 2008
- [j1]Ali Gooya, Hongen Liao, Kiyoshi Matsumiya, Ken Masamune, Yoshitaka Masutani, Takeyoshi Dohi:
A Variational Method for Geometric Regularization of Vascular Segmentation in Medical Images. IEEE Trans. Image Process. 17(8): 1295-1312 (2008) - [c5]Ali Gooya, Takeyoshi Dohi, Ichiro Sakuma, Hongen Liao:
Anisotropic Haralick Edge Detection Scheme with Application to Vessel Segmentation. MIAR 2008: 430-438 - [c4]Ali Gooya, Takeyoshi Dohi, Ichiro Sakuma, Hongen Liao:
R-PLUS: A Riemannian Anisotropic Edge Detection Scheme for Vascular Segmentation. MICCAI (1) 2008: 262-269 - 2007
- [c3]Ali Gooya, Hongen Liao, Kiyoshi Matsumiya, Ken Masamune, Takeyoshi Dohi:
Effective Statistical Edge Integration Using a Flux Maximizing Scheme for Volumetric Vascular Segmentation in MRA. IPMI 2007: 86-97 - [c2]Ali Gooya, Hongen Liao, Kiyoshi Matsumiya, Ken Masamune, Takeyoshi Dohi:
A Shape Induced Anisotropic Flowfor Volumetric Vascular Segmentation in MRA. ISBI 2007: 664-667 - 2006
- [c1]Ali Gooya, Hongen Liao, Kiyoshi Matsumiya, Ken Masamune, Takeyoshi Dohi:
Pulsative Flow Segmentation in MRA Image Series by AR Modeling and EM Algorithm. MIAR 2006: 356-363
Coauthor Index
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