Rahman Attar

According to our database, Rahman Attar authored at least 11 papers between 2018 and 2024.

Collaborative distances:

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

2024

Remote Assessment of Eczema Severity via AI-powered Skin Image Analytics: A Systematic Review.

Leo Huang, Wai Hoh Tang, Rahman Attar, Claudia Gore, Hywel C. Williams, Adnan Custovic, Reiko J. Tanaka

Artif. Intell. Medicine, 2024

2022

Predicting myocardial infarction through retinal scans and minimal personal information.

Andres Diaz-Pinto, Nishant Ravikumar, Rahman Attar, Avan Suinesiaputra, Yitian Zhao, Eylem Levelt, Erica Dall' Armellina, Marco Lorenzi, Qingyu Chen, Tiarnan D. L. Keenan, Elvira Agrón, Emily Y. Chew, Zhiyong Lu, Chris P. Gale, Richard P. Gale, Sven Plein, Alejandro F. Frangi

Nat. Mach. Intell., 2022

Automatic 3D+t four-chamber CMR quantification of the UK biobank: integrating imaging and non-imaging data priors at scale.

Yan Xia, Xiang Chen, Nishant Ravikumar, Christopher Kelly, Rahman Attar, Nay Aung, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi

Medical Image Anal., 2022

2021

Recovering from missing data in population imaging - Cardiac MR image imputation via conditional generative adversarial nets.

Yan Xia, Le Zhang, Nishant Ravikumar, Rahman Attar, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi

Medical Image Anal., 2021

Shape registration with learned deformations for 3D shape reconstruction from sparse and incomplete point clouds.

Xiang Chen, Nishant Ravikumar, Yan Xia, Rahman Attar, Andres Diaz-Pinto, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi

Medical Image Anal., 2021

Image-Derived Phenotype Extraction for Genetic Discovery via Unsupervised Deep Learning in CMR Images.

Rodrigo Bonazzola, Nishant Ravikumar, Rahman Attar, Enzo Ferrante, Tanveer F. Syeda-Mahmood, Alejandro F. Frangi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2019

Quantitative CMR population imaging on 20, 000 subjects of the UK Biobank imaging study: LV/RV quantification pipeline and its evaluation.

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

Medical Image Anal., 2019

2D reconstruction of small intestine's interior wall.

Rahman Attar, Xiang Xie, Zhihua Wang, Shigang Yue

Comput. Biol. Medicine, 2019

3D Cardiac Shape Prediction with Deep Neural Networks: Simultaneous Use of Images and Patient Metadata.

Rahman Attar, Marco Pereañez, Christopher Bowles, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi

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

2018

High Throughput Computation of Reference Ranges of Biventricular Cardiac Function on the UK Biobank Population Cohort.

Rahman Attar, Marco Pereañez, Ali Gooya, Xènia Albà, Le Zhang, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi

Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018

MULTI-X, a State-of-the-Art Cloud-Based Ecosystem for Biomedical Research.

Milton Hoz de Vila, Rahman Attar, Marco Pereañez, Alejandro F. Frangi

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018