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Picture for Alejandro F. Frangi

Alejandro F. Frangi

Centre for Computational Imaging and Simulation Technologies in Biomedicine

AI-based Aortic Vessel Tree Segmentation for Cardiovascular Diseases Treatment: Status Quo


Aug 06, 2021
Yuan Jin, Antonio Pepe, Jianning Li, Christina Gsaxner, Fen-hua Zhao, Jens Kleesiek, Alejandro F. Frangi, Jan Egger

* 44 pages (inclusive three pages supplemental material), 10 figures, 6 tables, 100 references 

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Modality Completion via Gaussian Process Prior Variational Autoencoders for Multi-Modal Glioma Segmentation


Jul 07, 2021
Mohammad Hamghalam, Alejandro F. Frangi, Baiying Lei, Amber L. Simpson

* Accepted in MICCAI 2021 

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Medical Imaging and Computational Image Analysis in COVID-19 Diagnosis: A Review


Oct 01, 2020
Shahabedin Nabavi, Azar Ejmalian, Mohsen Ebrahimi Moghaddam, Ahmad Ali Abin, Alejandro F. Frangi, Mohammad Mohammadi, Hamidreza Saligheh Rad

* 29 pages, 4 tables 

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Partially Conditioned Generative Adversarial Networks


Jul 06, 2020
Francisco J. Ibarrola, Nishant Ravikumar, Alejandro F. Frangi

* 10 pages, 9 figures 

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


Jul 02, 2019
Rahman Attar, Marco Pereanez, Christopher Bowles, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi

* Accepted for publication in MICCAI 2019 

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


Jan 10, 2019
Rahman Attar, Marco Pereanez, Ali Gooya, Xenia Alba, Le Zhang, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi

* Accepted in STACOM workshop of MICCAI2018 

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Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging with Fisher-Discriminative 3D CNN


Nov 08, 2018
Le Zhang, Ali Gooya, Marco Pereanez, Bo Dong, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi

* 12 pages, 5 figures, accepted by IEEE Transactions on Biomedical Engineering 

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Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions


Jun 06, 2018
Lena Maier-Hein*, Matthias Eisenmann*, Annika Reinke, Sinan Onogur, Marko Stankovic, Patrick Scholz, Tal Arbel, Hrvoje Bogunovic, Andrew P. Bradley, Aaron Carass, Carolin Feldmann, Alejandro F. Frangi, Peter M. Full, Bram van Ginneken, Allan Hanbury, Katrin Honauer, Michal Kozubek, Bennett A. Landman, Keno März, Oskar Maier, Klaus Maier-Hein, Bjoern H. Menze, Henning Müller, Peter F. Neher, Wiro Niessen, Nasir Rajpoot, Gregory C. Sharp, Korsuk Sirinukunwattana, Stefanie Speidel, Christian Stock, Danail Stoyanov, Abdel Aziz Taha, Fons van der Sommen, Ching-Wei Wang, Marc-André Weber, Guoyan Zheng, Pierre Jannin*, Annette Kopp-Schneider*

* 48 pages, under review in Nature Methods 

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DOTE: Dual cOnvolutional filTer lEarning for Super-Resolution and Cross-Modality Synthesis in MRI


Jun 15, 2017
Yawen Huang, Ling Shao, Alejandro F. Frangi

* 8 pages, 5 figures To appear in MICCAI 2017 

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Simultaneous Super-Resolution and Cross-Modality Synthesis of 3D Medical Images using Weakly-Supervised Joint Convolutional Sparse Coding


May 07, 2017
Yawen Huang, Ling Shao, Alejandro F. Frangi

* 10 pages, 6 figures. Accepted by CVPR 2017 

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