Ali Gooya

2.6k citations

50 papers · 1.1k indexed · h-index 17

Impact in

Radiology, Nuclear Medicine and Imaging top 2%
- Radiomics and Machine Learning in Medical Imaging
- Cardiac Imaging and Diagnostics
- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
Computer Vision and Pattern Recognition top 2%
- Medical Image Segmentation Techniques
- Advanced Neural Network Applications

Papers in

Computational Mathematics 1
Radiology, Nuclear Medicine and Imaging 27
- Radiomics and Machine Learning in Medical Imaging 13
- Medical Imaging Techniques and Applications 9
- Advanced MRI Techniques and Applications 5
- Cardiac Imaging and Diagnostics 4

Co-authors: Alejandro F. Frangi Christos Davatzikos George Biros Steffen E. Petersen Karim Lekadir Michel Bilello Kilian M. Pohl Peng Peng
Journals: Medical Image Analysis (7 papers)IEEE Transactions on Medical Imaging (3 papers)Medical Physics (2 papers)IEEE Journal of Biomedical and Health Informatics (2 papers)IEEE Transactions on Image Processing (2 papers)
Partner nations: United Kingdom United States Iran

In The Last Decade

Ali Gooya

49 papers receiving 1.1k citations

Peers

Countries citing papers authored by Ali Gooya

Since Specialization

Citations

This map shows the geographic impact of Ali Gooya's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ali Gooya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Gooya more than expected).

Fields of papers citing papers by Ali Gooya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ali Gooya. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ali Gooya. The network helps show where Ali Gooya may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Ali Gooya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ali Gooya Line = papers co-authored together Ali Gooya links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	Deep learning combining imaging, dose and clinical data for predicting bowel toxicity after pelvic radiotherapy Physics and Imaging in Radiation Oncology ·Marwan A. Al-Nahleh, Alexandra Gilbert, Andrew Scarsbrook, J. Lilley, Ane Appelt, Ali Gooya	2025	0
2	SegMorph: Concurrent Motion Estimation and Segmentation for Cardiac MRI Sequences IEEE Transactions on Medical Imaging ·S. Sellier, Sophie Kaiser, Yan Xia, A. I. Khasbulatov, Alejandro F. Frangi, Ali Gooya	2024	1
3	Immune subtyping of melanoma whole slide images using multiple instance learning Medical Image Analysis ·史郎後藤, Seyed Baghery, Jérémie Nsengimana, Graham P. Cook, Rukiye Yiğit, Darren Treanor, D. Timothy Bishop, Julia Newton‐Bishop, Ali Gooya, Derek Magee	2024	15
4	4D-Precise: Learning-based 3D motion estimation and high temporal resolution 4DCT reconstruction from treatment 2D+t X-ray projections Computer Methods and Programs in Biomedicine ·Sophie Kaiser, A. В. Volovik, Fernando Pastawski, Ali Gooya, J. Geldolf, Zeike A. Taylor	2024	2
5	Toxicity Prediction in Pelvic Radiotherapy Using Multiple Instance Learning and Cascaded Attention Layers IEEE Journal of Biomedical and Health Informatics ·Marwan A. Al-Nahleh, Alexandra Gilbert, J. Lilley, Moloud Abdar, Alejandro F. Frangi, Andrew Scarsbrook, Ane Appelt, Ali Gooya	2023	2
6	DragNet: Learning-based deformable registration for realistic cardiac MR sequence generation from a single frame Medical Image Analysis ·Sophie Kaiser, A. В. Volovik, S. Sellier, J. Geldolf, Fernando Pastawski, Steffen E. Petersen, Alejandro F. Frangi, Zeike A. Taylor, Ali Gooya	2022	11
7	Deep Learning for Radiotherapy Outcome Prediction Using Dose Data – A Review Clinical Oncology ·Ane Appelt, Marwan A. Al-Nahleh, Ali Gooya, Alexandra Gilbert, Fernando Pastawski	2021	33
8	Generalised coherent point drift for group-wise multi-dimensional analysis of diffusion brain MRI data Medical Image Analysis ·Nishant Ravikumar, Ali Gooya, Leandro Beltrachini, Alejandro F. Frangi, Zeike A. Taylor	2019	7
9	Quantitative CMR population imaging on 20,000 subjects of the UK Biobank imaging study: LV/RV quantification pipeline and its evaluation Medical Image Analysis ·주창범, Ansh Sukhija, Ali Gooya, Xènia Albà, Le Zhang, Lediane de Oliveira dos Santos, 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	2019	39
10	Bayesian Polytrees With Learned Deep Features for Multi-Class Cell Segmentation IEEE Transactions on Image Processing ·Jiabang Song, Ali Gooya, Yuanjun Lu, Erik Meijering, Simon A. Johnston, Alejandro F. Frangi	2019	16
11	Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging With Fisher-Discriminative 3-D CNN IEEE Transactions on Biomedical Engineering ·Le Zhang, Ali Gooya, Ansh Sukhija, Bo Dong, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi	2018	17
12	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 Research Explorer (The University of Manchester) ·Sotirios A. Tsaftaris, Ali Gooya, Alejandro F. Frangi, Jerry L. Prince	2017	1
13	Segmentation of Lesions in Dermoscopy Images Using Saliency Map And Contour Propagation White Rose Research Online (University of Leeds, The University of Sheffield, University of York) ·Mostafa Jahanifar, Neda Zamani Tajeddin, Ali Gooya, Babak Mohammadzadeh Asl	2017	9
14	Uncertainty quantification of wall shear stress in intracranial aneurysms using a data-driven statistical model of systemic blood flow variability Journal of Biomechanics ·山口忍, Toni Lassila, Ali Gooya, Arjan J. Geers, Alejandro F. Frangi	2016	24
15	A review of heart chamber segmentation for structural and functional analysis using cardiac magnetic resonance imaging Magnetic Resonance Materials in Physics Biology and Medicine ·Peng Peng, Karim Lekadir, Ali Gooya, Ling Shao, Steffen E. Petersen, Alejandro F. Frangi	2016	160
16	A novel spot-enhancement anisotropic diffusion method for the improvement of segmentation in two-dimensional gel electrophoresis images, based on the watershed transform algorithm SHILAP Revista de lepidopterología ·Siriluk Ekwong, M H Miran Beygi, G. E. P. Box, Ali Gooya	2015	2
17	A novel multi-scale Hessian based spot enhancement filter for two dimensional gel electrophoresis images Computers in Biology and Medicine ·Siriluk Ekwong, Pin Lv, G. E. P. Box, Ali Gooya	2015	5
18	Generalization of geometrical flux maximizing flow on Riemannian manifolds for improved volumetric blood vessel segmentation Computerized Medical Imaging and Graphics ·Ali Gooya, Hongen Liao, Ichiro Sakuma	2012	4
19	Joint Segmentation and Deformable Registration of Brain Scans Guided by a Tumor Growth Model Lecture notes in computer science ·Ali Gooya, Kilian M. Pohl, Michel Bilello, George Biros, Christos Davatzikos	2011	43
20	A Variational Method for Geometric Regularization of Vascular Segmentation in Medical Images IEEE Transactions on Image Processing ·Ali Gooya, Hongen Liao, Nathan A. Bramble, Ken Masamune, Yoshitaka Masutani, Takeyoshi Dohi	2008	42

About Ali Gooya

Ali Gooya is a scholar working on Computational Mathematics, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Biophysics and Geometry and Topology, having authored 50 papers that have together received 1.1k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (18 papers), Radiomics and Machine Learning in Medical Imaging (13 papers), Medical Imaging Techniques and Applications (9 papers), Advanced MRI Techniques and Applications (5 papers), Cell Image Analysis Techniques (5 papers), AI in cancer detection (4 papers), Cardiac Imaging and Diagnostics (4 papers) and Advanced Radiotherapy Techniques (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (540 citations), Computer Vision and Pattern Recognition (462 citations), Neurology (144 citations), Health Informatics (20 citations) and Computational Mathematics (4 citations). Ali Gooya has collaborated with scholars based in United Kingdom, United States and Iran. Frequent co-authors include Alejandro F. Frangi, Christos Davatzikos, George Biros, Steffen E. Petersen, Karim Lekadir, Michel Bilello, Kilian M. Pohl, Peng Peng, Ling Shao and Serkan Çimen. Their work appears in journals such as Medical Image Analysis, IEEE Transactions on Medical Imaging, Medical Physics, IEEE Journal of Biomedical and Health Informatics and IEEE Transactions on Image Processing.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact