Automated hemodynamic modeling to explore arterial curvature effects on intracranial aneurysm initiation Adi Konsens, Alejandro F. Frangi, Gil Marom Computer Methods and Programs in Biomedicine, 2026 BACKGROUND AND OBJECTIVE: Intracranial aneurysms (IA) cause hundreds of thousands of deaths annually, yet most remain undiagnosed until rupture due to their asymptomatic nature. Improved prediction of aneurysm initiation could enable earlier detection and intervention. While computational hemodynamic models can identify high-risk regions, previous studies were limited to small cohorts due to labor-intensive manual workflows. We developed the first semi-automated workflow to enable large-scale, patient-specific hemodynamic analysis of IA initiation. METHODS: Our workflow integrates automated centerline extraction for quantitative morphological characterization with computational fluid dynamics (CFD) simulations to derive wall shear stress patterns and hemodynamic markers. We tested the workflow's robustness across multiple IA types and anatomical locations, focusing primarily on sidewall aneurysms of the internal carotid artery (ICA). RESULTS: Our semi-automated workflow successfully processed 42 diverse cases, 5 of them initially failed but were subsequently resolved through manual reconstruction, demonstrating robust performance across sidewall ICA aneurysms (16 cases), bifurcation aneurysms (6 cases), and validation cohorts. Validation against published data showed consistent trends with mean normalized TAWSS values of 1.31±0.09 in aneurysmal cases versus 1.14±0.07 in controls, aligning with previous findings despite methodological differences. CONCLUSIONS: The workflow's adaptability was confirmed across multiple anatomical configurations and region of interest selection methods. This scalable approach enables the statistical analysis necessary to identify reliable hemodynamic biomarkers for IA initiation, representing a critical advancement towards evidence-based prediction models for clinical risk stratification.
An effective deep learning algorithm for medical image registration Jinqiu Deng, Ke Chen, Mingke Li, Zhichao Zuo, Alejandro F. Frangi, Jianping Zhang Plos Digital Health, 2026 Image registration is crucial for many medical imaging applications, including longitudinal monitoring and multimodal information fusion. A key challenge is to achieve accurate alignment while strictly preserving topology and invertibility. To address the limitations of traditional penalty-based regularization, which may still permit local folding, this study proposes DTC-Reg, a dynamically learned registration framework that more explicitly enforces diffeomorphic deformation. The framework integrates a homotopy-based control–increment formulation with explicit multiscale geometric constraints. Two parameter-sharing U-Nets first extract multiscale feature pyramids from the input images, after which a symmetric registration module with a sequential temporal cascade network progressively refines the forward and inverse multiscale deformation fields. To further enhance diffeomorphic consistency, this study introduces a Multiscale Folding-aware Deformation Correction (MFDC) module that explicitly detects and geometrically rectifies folding points in the predicted deformation fields. Beyond its integration within DTC-Reg, MFDC can also be readily incorporated into several state-of-the-art registration networks, significantly reducing folding and improving deformation regularity. Extensive experiments on three 3D brain MRI registration tasks demonstrate that the proposed method consistently achieves superior performance over existing approaches in both quantitative and qualitative evaluations.
Computational modeling and simulation for medical devices: a summary of the 2024 FDA/MDIC Symposium Brent A Craven, Christopher A Basciano, Payman Afshari, Kenneth I Aycock, Jeffrey J Ballyns, Andrew P Baumann, Jeffrey E Bischoff, Jeff Bodner, Paul Briant, Mark Driscoll, Alejandro F Frangi, Conrad J Grant, Ismail Guler, David M Hoganson, Carl W Imhauser, Linda Knudsen, Xiangyi (Cheryl) Liu, Brandon A Lurie, Vinay M Pai, Mark Palmer, Pras Pathmanathan, Fernando J Quevedo Gonzalez, Devashish Shrivastava, Emmanuelle Voisin Progress in Biomedical Engineering, 2026 Computational modeling and simulation (CM&S) is a powerful tool that can be used to support the development, evaluation, and regulatory authorization of medical devices. CM&S can provide valuable insights into device performance, safety, and effectiveness, as well as reduce the need for animal or human testing. Computational models are, however, idealized digital representations that often have many assumptions and need to be credible before they are used in decision making that could incur patient harm. While the medical device community has made great strides to advance the use of CM&S, a number of challenges remain. To begin addressing these challenges, the US Food and Drug Administration (FDA) and the Medical Device Innovation Consortium (MDIC) co-sponsored the FDA/MDIC Symposium on Computational Modeling and Simulation on April 16–17, 2024 in College Park, Maryland, USA, where attendees from around the world convened to hear from leaders in the field through a unique blend of invited presentations and interactive panel discussions. The symposium agenda covered several major themes, including credibility considerations for CM&S used across the medical device total product life cycle, practical examples of performing model credibility assessment, and the use of CM&S for clinical decision making and the emerging areas of in silico clinical trials and digital twins. The objective of this article is to summarize the major takeaways of the symposium. We first provide an overview of the invited presentations followed by summaries of the topics covered during the interactive panel discussions. In doing so, we highlight the main takeaways and identify areas in which panelists had shared perspectives or differences of opinion. Next, we present the results of a survey conducted at the symposium that sought attendees’ perspectives on different aspects of medical device CM&S. Finally, we conclude by summarizing the major outcomes of the symposium, including areas where more work and investment are needed to advance the field.
Multiple teachers-meticulous student: A domain adaptive meta-knowledge distillation model for medical image classification Shahabedin Nabavi, Kian Anvari Hamedani, Mohsen Ebrahimi Moghaddam, Ahmad Ali Abin, Alejandro F. Frangi Medical Physics, 2026 Background Deep learning (DL) has shown to be a powerful tool in medical image classification, yet it still faces major practical challenges. These include performance degradation due to domain shift, dependency on large‐scale annotated datasets, high model complexity that limits deployment, and concerns regarding patient data privacy. Purpose To address these challenges, we propose a framework called Multiple Teachers–Meticulous Student (MT–MS) for source‐free domain adaptive medical image classification using meta‐knowledge distillation. Methods In the proposed method, multiple teacher models trained on heterogeneous source domains are used to guide a compact student model without needing access to the source data. This source‐free setup preserves privacy only by learning from parameters of teacher models. To enable robust adaptation to new target domains, the student learns to fuse and refine the knowledge from multiple teachers using a meta‐learning strategy. The architecture integrates convolutional and attentive components to maximize knowledge transfer, and an adaptive training schedule balances teacher guidance during the learning process. Results We evaluate the proposed method on six public medical imaging datasets spanning various imaging modalities and clinical applications. The experiments focus on a binary classification task of respiratory motion artifact detection as a representative challenge. The results demonstrate that the MT–MS framework achieves strong performance in accuracy and F1‐score while maintaining a lightweight structure suitable for deployment in real‐world clinical environments. Conclusions Overall, MT‐MS provides a unified solution for source‐free domain adaptation, data‐efficient training, knowledge consolidation, and privacy preservation, making it a promising approach for practical medical image classification across domains.
Fourier-Net+: Band-Limited Spatial Representation for Efficient Medical Image Registration Xi Jia, Alexander Thorley, Alberto Gomez, Wenqi Lu, Dipak Kotecha, Alejandro F. Frangi, Jinming Duan IEEE Transactions on Neural Networks and Learning Systems, 2026 U-Net style networks are commonly utilized in unsupervised image registration to predict dense displacement fields in the full-resolution spatial domain. For high-resolution volumetric image data, this process is, however, resource-intensive and time-consuming. To address this challenge, we propose Fourier-Net+, an image-domain deformable registration framework that operates on real-valued images for broad modality compatibility. Fourier-Net+ uses deterministic Fourier-domain band-limiting for efficient down- and up-sampling and employs a parameter-free, model-driven decoder to learn a band-limited, low-dimensional representation of the displacement field; all learnable network layers are real-valued. In addition, to enhance the registration performance and encourage diffeomorphism, we propose the cascaded and diffeomorphic versions of Fourier-Net+. We evaluate the proposed methods on five datasets, including two brain MRI, one 3-D cardiac MRI (3-D-CMR), one abdominal CT-MR dataset, and one noisy ultrasound cardiac dataset, comparing them against various state-of-the-art approaches. Our Fourier-Net+ and its variants achieve comparable results with these approaches while exhibiting faster training and inference speeds with a lower memory footprint and fewer multiply add operations (mult-adds). For example, on the 3-D-CMR dataset, our Diff-Fourier-Net+ significantly outperforms strong baselines such as TransMorph, TransMatch, and SACB-Net in Dice and HD, as well as in clinical metrics including end-diastolic (ED) volume and ejection fraction estimation, while using substantially less memory and computational cost. This efficiency enables large-scale 3-D registration training on low-VRAM GPUs.
Unlocking the potential of disease prevention through regulatory science Daniel J. O’Connor, Alison C. Cave, Alejandro F. Frangi, John Hardy, James Kennard, Kathryn Goodey, Virginia Acha, Deb Lancaster, Paul Fisher, Natalie Schmidt, Sheuli Porkess, Alice Fabre Nature Reviews Drug Discovery, 2026
The concept of virtual clinical trials: A game changer in radiation oncology research? Corinne Faivre-Finn, Colin Baker, Clare Dempsey, Jasmin Fisher, Alejandro F. Frangi, Andrew Gosling, Crispin Hiley, Matthew Lowe, Tom Marchant, Alan McWilliam, Gareth Price, Romelie Rieu, Marcel van Herk, Eliana Vasquez Osorio, David Woolf, Marianne Aznar Radiotherapy and Oncology, 2026
Digital twins for the era of personalized surgery Yosra Magdi Mekki, Gijs Luijten, Elisabet Hagert, Sirajeddin Belkhair, Chris Varghese, Junaid Qadir, Barry Solaiman, Muhammad Bilal, Jaghtar Dhanda, Jan Egger, Jun Deng, Vikas Khanduja, Alejandro F. Frangi, Susu M. Zughaier, Mitchell A. Stotland Npj Digital Medicine, 2025
Personalized uncertainty quantification in artificial intelligence Tapabrata Chakraborti, Christopher R. S. Banerji, Ariane Marandon, Vicky Hellon, Robin Mitra, Brieuc Lehmann, Leandra Bräuninger, Sarah McGough, Cagatay Turkay, Alejandro F. Frangi, Ginestra Bianconi, Weizi Li, Owen Rackham, Deepak Parashar, Chris Harbron, Ben MacArthur Nature Machine Intelligence, 2025
Standardization and clinical applications of retinal imaging biomarkers for cardiovascular disease: a Roadmap from an NHLBI workshop Emily Y. Chew, Stephen A. Burns, Alison G. Abraham, Mathieu F. Bakhoum, Joshua A. Beckman, Toco Y. P. Chui, Robert P. Finger, Alejandro F. Frangi, Rebecca F. Gottesman, Maria B. Grant, Henner Hanssen, Cecilia S. Lee, Michelle L. Meyer, Damiano Rizzoni, Alicja R. Rudnicka, Joel S. Schuman, Sara B. Seidelmann, W. H. Wilson Tang, Bishow B. Adhikari, Narasimhan Danthi, Yuling Hong, Diane Reid, Grace L. Shen, Young S. Oh Nature Reviews Cardiology, 2025
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare Karim Lekadir, Alejandro F Frangi, Antonio R Porras, Ben Glocker, Celia Cintas, Curtis P Langlotz, Eva Weicken, Folkert W Asselbergs, Fred Prior, Gary S Collins, Georgios Kaissis, Gianna Tsakou, Irène Buvat, Jayashree Kalpathy-Cramer, John Mongan, Julia A Schnabel, Kaisar Kushibar, Katrine Riklund, Kostas Marias, Lameck M Amugongo, Lauren A Fromont, Lena Maier-Hein, Leonor Cerdá-Alberich, Luis Martí-Bonmatí, M Jorge Cardoso, Maciej Bobowicz, Mahsa Shabani, Manolis Tsiknakis, Maria A Zuluaga, Marie-Christine Fritzsche, Marina Camacho, Marius George Linguraru, Markus Wenzel, Marleen De Bruijne, Martin G Tolsgaard, Melanie Goisauf, Mónica Cano Abadía, Nikolaos Papanikolaou, Noussair Lazrak, Oriol Pujol, Richard Osuala, Sandy Napel, Sara Colantonio, Smriti Joshi, Stefan Klein, Susanna Aussó, Wendy A Rogers, Zohaib Salahuddin, Martijn P A Starmans BMJ, 2025
Early detection of dementia through retinal imaging and trustworthy AI Jinkui Hao, William R. Kwapong, Ting Shen, Huazhu Fu, Yanwu Xu, Qinkang Lu, Shouyue Liu, Jiong Zhang, Yonghuai Liu, Yifan Zhao, Yalin Zheng, Alejandro F. Frangi, Shuting Zhang, Hong Qi, Yitian Zhao Npj Digital Medicine, 2024
Toward widespread use of virtual trials in medical imaging innovation and regulatory science Ehsan Abadi, Bruno Barufaldi, Miguel Lago, Andreu Badal, Claudia Mello‐Thoms, Nick Bottenus, Kristen A. Wangerin, Mitchell Goldburgh, Lawrence Tarbox, Erica Beaucage‐Gauvreau, Alejandro F. Frangi, Andrew Maidment, Paul E. Kinahan, Hilde Bosmans, Ehsan Samei Medical Physics, 2024
Adaptive Semi-supervised Segmentation of Brain Vessels with Ambiguous Labels Fengming Lin, Yan Xia, Nishant Ravikumar, Qiongyao Liu, Michael MacRaild, Alejandro F. Frangi Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2024
Deep Physics-Informed Super-Resolution of Cardiac 4D-Flow MRI Fergus Shone, Nishant Ravikumar, Toni Lassila, Michael MacRaild, Yongxing Wang, Zeike A. Taylor, Peter Jimack, Erica Dall’Armellina, Alejandro F. Frangi Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2023
Preface AIIIMA 2022 Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2022
Predicting Myocardial Infarction Using Retinal OCT Imaging Cynthia Maldonado García, Rodrigo Bonazzola, Nishant Ravikumar, Alejandro F. Frangi Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 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 Nature Machine Intelligence, 2022
A Deep Discontinuity-Preserving Image Registration Network Xiang Chen, Yan Xia, Nishant Ravikumar, Alejandro F. Frangi Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2021
Self Context and Shape Prior for Sensorless Freehand 3D Ultrasound Reconstruction Mingyuan Luo, Xin Yang, Xiaoqiong Huang, Yuhao Huang, Yuxin Zou, Xindi Hu, Nishant Ravikumar, Alejandro F. Frangi, Dong Ni Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2021
Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound Shuangchi He, Zehui Lin, Xin Yang, Chaoyu Chen, Jian Wang, Xue Shuang, Ziwei Deng, Qin Liu, Yan Cao, Xiduo Lu, Ruobing Huang, Nishant Ravikumar, Alejandro Frangi, Yuanji Zhang, Yi Xiong, Dong Ni Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2021
The UK Biobank imaging enhancement of 100,000 participants: rationale, data collection, management and future directions Thomas J. Littlejohns, Jo Holliday, Lorna M. Gibson, Steve Garratt, Niels Oesingmann, Fidel Alfaro-Almagro, Jimmy D. Bell, Chris Boultwood, Rory Collins, Megan C. Conroy, Nicola Crabtree, Nicola Doherty, Alejandro F. Frangi, Nicholas C. Harvey, Paul Leeson, Karla L. Miller, Stefan Neubauer, Steffen E. Petersen, Jonathan Sellors, Simon Sheard, Stephen M. Smith, Cathie L. M. Sudlow, Paul M. Matthews, Naomi E. Allen Nature Communications, 2020
Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detection Fei Li, Diping Song, Han Chen, Jian Xiong, Xingyi Li, Hua Zhong, Guangxian Tang, Sujie Fan, Dennis S. C. Lam, Weihua Pan, Yajuan Zheng, Ying Li, Guoxiang Qu, Junjun He, Zhe Wang, Ling Jin, Rouxi Zhou, Yunhe Song, Yi Sun, Weijing Cheng, Chunman Yang, Yazhi Fan, Yingjie Li, Hengli Zhang, Ye Yuan, Yang Xu, Yunfan Xiong, Lingfei Jin, Aiguo Lv, Lingzhi Niu, Yuhong Liu, Shaoli Li, Jiani Zhang, Linda M. Zangwill, Alejandro F. Frangi, Tin Aung, Ching-yu Cheng, Yu Qiao, Xiulan Zhang, Daniel S. W. Ting Npj Digital Medicine, 2020
Virtual clinical trials in medical imaging: A review Ehsan Abadi, William P. Segars, Benjamin M. W. Tsui, Paul E. Kinahan, Nick Bottenus, Alejandro F. Frangi, Andrew Maidment, Joseph Lo, Ehsan Samei Journal of Medical Imaging, 2020
A Spatio-Temporal Ageing Atlas of the Proximal Femur Mohsen Farzi, Jose M. Pozo, Eugene McCloskey, Richard Eastell, Nicholas Harvey, J. Mark Wilkinson, Alejandro F. Frangi IEEE Transactions on Medical Imaging, 2020
Federated simulation for medical imaging Daiqing Li, Amlan Kar, Nishant Ravikumar, Alejandro F. Frangi, Sanja Fidler Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2020
Searching Collaborative Agents for Multi-plane Localization in 3D Ultrasound Yuhao Huang, Xin Yang, Rui Li, Jikuan Qian, Xiaoqiong Huang, Wenlong Shi, Haoran Dou, Chaoyu Chen, Yuanji Zhang, Huanjia Luo, Alejandro Frangi, Yi Xiong, Dong Ni Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2020
Self-weighted Multi-task Learning for Subjective Cognitive Decline Diagnosis Nina Cheng, Alejandro Frangi, Zhi-Guo Zhang, Denao Deng, Lihua Zhao, Tianfu Wang, Yichen Wei, Bihan Yu, Wei Mai, Gaoxiong Duan, Xiucheng Nong, Chong Li, Jiahui Su, Baiying Lei Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2020
Contrastive Rendering for Ultrasound Image Segmentation Haoming Li, Xin Yang, Jiamin Liang, Wenlong Shi, Chaoyu Chen, Haoran Dou, Rui Li, Rui Gao, Guangquan Zhou, Jinghui Fang, Xiaowen Liang, Ruobing Huang, Alejandro Frangi, Zhiyi Chen, Dong Ni Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2020
Special issue on MICCAI 2018 Julia A. Schnabel, Christos Davatzikos, Gabor Fichtinger, Alejandro F. Frangi, Carlos Alberola-López Medical Image Analysis, 2019
Erratum to: Why rankings of biomedical image analysis competitions should be interpreted with care (Nature Communications, (2018), 9, 1, (5217), 10.1038/s41467-018-07619-7) 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 Nature Communications, 2019
IJCARS-MICCAI 2018 special issue Gabor Fichtinger, Julia A. Schnabel, Christos Davatzikos, Alejandro F. Frangi, Carlos Alberola-López International Journal of Computer Assisted Radiology and Surgery, 2019
Pelvis segmentation using multi-pass U-Net and iterative shape estimation Chunliang Wang, Bryan Connolly, Pedro Filipe de Oliveira Lopes, Alejandro F. Frangi, Örjan Smedby Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2019
Ray-based segmentation algorithm for medical imaging V. V. Danilov, I. P. Skirnevskiy, R. A. Manakov, D. Y. Kolpashchikov, O. M. Gerget, A. F. Frangi International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences ISPRS Archives, 2019
CS-Net: Channel and spatial attention network for curvilinear structure segmentation Lei Mou, Yitian Zhao, Li Chen, Jun Cheng, Zaiwang Gu, Huaying Hao, Hong Qi, Yalin Zheng, Alejandro Frangi, Jiang Liu Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2019
Message from general and program chairs Liu, C.-L., Lee, S.-W., Yang, J., Yang, J., Makihara, Y., et al. Proceedings 4th Asian Conference on Pattern Recognition Acpr 2017, 2018
Why rankings of biomedical image analysis competitions should be interpreted with care 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 Nature Communications, 2018
Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge Avan Suinesiaputra, Jan Dhooge, Nicolas Duchateau, Jan Ehrhardt, Alejandro F. Frangi, Ali Gooya, Vicente Grau, Karim Lekadir, Allen Lu, Anirban Mukhopadhyay, Ilkay Oksuz, Pierre Ablin, Nripesh Parajuli, Xavier Pennec, Marco Pereanez, Catarina Pinto, Paolo Piras, Marc-Michel Rohe, Daniel Rueckert, Dennis Saring, Maxime Sermesant, Kaleem Siddiqi, Xenia Alba, Mahdi Tabassian, Luciano Teresi, Sotirios A. Tsaftaris, Matthias Wilms, Alistair A. Young, Xingyu Zhang, Pau Medrano-Gracia, Martino Alessandrini, Jack Allen, Wenjia Bai, Serkan Cimen, Peter Claes, Brett R. Cowan IEEE Journal of Biomedical and Health Informatics, 2018
Multi-task learning approach for natural images’ quality assessment Journal of Telecommunication Electronic and Computer Engineering, 2018
Preface Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2018
Multi-modal synthesis of ASL-MRI features with KPLS regression on heterogeneous data Toni Lassila, Helena M. Faria, Ali Sarrami-Foroushani, Francesca Meneghello, Annalena Venneri, Alejandro F. Frangi Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2018
Spatio-temporal atlas of bone mineral density ageing Mohsen Farzi, Jose M. Pozo, Eugene McCloskey, Richard Eastell, J. Mark Wilkinson, Alejandro F. Frangi Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2018
Retinal Image Synthesis for Glaucoma Assessment Using DCGAN and VAE Models Andres Diaz-Pinto, Adrián Colomer, Valery Naranjo, Sandra Morales, Yanwu Xu, Alejandro F. Frangi Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2018
Preface Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2018
Preface Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2018
Preface Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2018
Preface Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2018
Support for Taverna workflows in the VPH-Share cloud platform Marek Kasztelnik, Ernesto Coto, Marian Bubak, Maciej Malawski, Piotr Nowakowski, Juan Arenas, Alfredo Saglimbeni, Debora Testi, Alejandro F. Frangi Computer Methods and Programs in Biomedicine, 2017
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 Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2017
Preface Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2017
CoronARe: A coronary artery reconstruction challenge Serkan Çimen, Mathias Unberath, Alejandro Frangi, Andreas Maier Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2017
A multi-center milestone study of clinical vertebral CT segmentation Jianhua Yao, Joseph E. Burns, Daniel Forsberg, Alexander Seitel, Abtin Rasoulian, Purang Abolmaesumi, Kerstin Hammernik, Martin Urschler, Bulat Ibragimov, Robert Korez, Tomaž Vrtovec, Isaac Castro-Mateos, Jose M. Pozo, Alejandro F. Frangi, Ronald M. Summers, Shuo Li Computerized Medical Imaging and Graphics, 2016
Patient metadata-constrained shape models for cardiac image segmentation Marco Pereañez, Karim Lekadir, Xenia Albà, Pau Medrano-Gracia, Alistair A. Young, Alejandro Frangi Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2016
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015: 18th International Conference Munich, Germany, October 5-9, 2015 proceedings, part III Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2015
Medical image computing and computer-assisted intervention – MICCAI 2015: 18th international conference Munich, Germany, october 5-9, 2015 proceedings, Part II Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2015
Multi-stage biomarker models for progression estimation in Alzheimer’s disease on behalf of the Alzheimers Disease Neuroimaging Initiative, Alexander Schmidt-Richberg, Ricardo Guerrero, Christian Ledig, Helena Molina-Abril, Alejandro F. Frangi, Daniel Rueckert Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2015
Reconstruction of coronary trees from 3DRA using a 3D+t statistical cardiac prior Medical Image Computing and Computer Assisted Intervention Miccai International Conference on Medical Image Computing and Computer Assisted Intervention, 2014
Multichannel foetal heartbeat detection by combining source cancellation with expectation-weighted estimation of fiducial points Computing in Cardiology, 2013
Risk of rupture of small anterior communicating artery aneurysms is similar to posterior circulation aneurysms Philippe Bijlenga, Christian Ebeling, Max Jaegersberg, Paul Summers, Alister Rogers, Alan Waterworth, Jimison Iavindrasana, Juan Macho, Vitor Mendes Pereira, Peter Bukovics, Elio Vivas, Miriam C.J.M. Sturkenboom, Jessica Wright, Christoph M. Friedrich, Alejandro Frangi, James Byrne, Karl Schaller, Daniel Rufenacht, Collaborators From the @neurIST Investigators, Ana Paula Narata, Alison Clarke, Julia Yarnold, Ferenc Kover, Bawarjan Schatlo, Stephan Hudak, Patrick Teta, Jordi Blasco, Ana Marcos Gonzalez, Karl-Olof Lovblad, Stuart Coley, Tamas Dòczi, Roelof Risselada, Theresa Sola, Patricia Lawford, Umang Patel, Pankaj Singh, Jeremy Wickins, Bernice Elger, Derick Beyleveld, Steven Wood, Peer Hasselmeyer, Antonio Arbona, Rodolphe Meyer, Rod Hose, Guy Lonsdale, Martin Hofmann-Apitius, Investigators, Project Board:, Alejandro Frangi, Philippe Bijlenga, Martin Hofmann-Apitius, Rod Hose, Guy Lonsdale, Antonio Arbona, Peer Hasselmeyer, Daniel Rüfenacht, Article writing team:, Philippe Bijlenga, Paul Summers, Max Jägersberg, Alister Rogers, Karl Schaller, James Byrne, Ethical, legal review committee:, Jessica Wright, Jeremy Wilkins, Derick Beyleveld, Bernice Elger, Information platform development, maintenance:, Alan Waterworth, Steven Wood, Jimison Iavindrasana, Rodolphe Meyer, Christoph Friedrich, Christian Ebeling, Epidemiology, statistics:, Christian Ebeling, Philippe Bijlenga, Roelof Risselada, Christoph Friedrich, Miriam CJM Sturkenboom, Participating Centers (In Order of Number of Recruited Patients), Philippe Bijlenga, Max Jägersberg, Alister Rogers, Bawarjan Schatlo, Patrick Teta, Karl Schaller, Vitor Mendes-Pereira, Ana Marcos Gonzalez, Ana Paula Narata, Karl O Lovblad, Daniel A. Rüfenacht, Julia Yarnold, Paul Summers, Alison Clarke, Gulam Zilani, James Byrne, Juan Macho, Jordi Blasco, Peter Bukovics, Ferenc Kover, Istvan Hudak, Tamas Doczi, Roelof Risselada, Miriam CJM Sturkenboom, Pankaj Singh, Alan Waterworth, Umang Patel, Stuart Coley, Patricia Lawford, Teresa Sola, Elio Vivas Stroke, 2013
Fusing correspondenceless 3D point distribution models Marco Pereañez, Karim Lekadir, Constantine Butakoff, Corné Hoogendoorn, Alejandro Frangi Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2013
Benchmarking framework for myocardial tracking and deformation algorithms: An open access database C. Tobon-Gomez, M. De Craene, K. McLeod, L. Tautz, W. Shi, A. Hennemuth, A. Prakosa, H. Wang, G. Carr-White, S. Kapetanakis, A. Lutz, V. Rasche, T. Schaeffter, C. Butakoff, O. Friman, T. Mansi, M. Sermesant, X. Zhuang, S. Ourselin, H-O. Peitgen, X. Pennec, R. Razavi, D. Rueckert, A.F. Frangi, K.S. Rhode Medical Image Analysis, 2013
Healthy and scar myocardial tissue classification in DE-MRI Xènia Albà, Rosa M. Figueras i Ventura, Karim Lekadir, Alejandro F. Frangi Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2013
An atlas for cardiac MRI regional wall motion and infarct scoring Pau Medrano-Gracia, Avan Suinesiaputra, Brett Cowan, David Bluemke, Alejandro Frangi, Daniel Lee, João Lima, Alistair Young Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2013
A vision and strategy for the virtual physiological human: 2012 update Peter Hunter, Tara Chapman, Peter V. Coveney, Bernard de Bono, Vanessa Diaz, John Fenner, Alejandro F. Frangi, Peter Harris, Rod Hose, Peter Kohl, Pat Lawford, Keith McCormack, Miriam Mendes, Stig Omholt, Alfio Quarteroni, Nour Shublaq, John Skår, Karl Stroetmann, Jesper Tegner, S. Randall Thomas, Ioannis Tollis, Ioannis Tsamardinos, Johannes H. G. M. van Beek, Marco Viceconti Interface Focus, 2013
Age-related changes in vertebral morphometry by statistical shape analysis Tristan Whitmarsh, Luis M. Del Río Barquero, Silvana Di Gregorio, Jorge Malouf Sierra, Ludovic Humbert, Alejandro F. Frangi Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2012
Construction of a statistical atlas of the whole heart from a large 4D CT database Computing in Cardiology, 2012
The VPH-Physiome Project: Standards, tools and databases for multi-scale physiological modelling Peter Hunter, Chris Bradley, Randall Britten, David Brooks, Luigi Carotenuto, Richard Christie, Alejandro Frangi, Alan Garny, David Ladd, Caton Little, David Nickerson, Poul Nielsen, Andrew Miller, Xavier Planes, Martin Steghoffer, Alistair Young, Tommy Yu Modeling Simulation and Applications, 2012
Full multiresolution active shape models Juan J. Cerrolaza, Arantxa Villanueva, Federico M. Sukno, Constantine Butakoff, Alejandro F. Frangi, Rafael Cabeza Journal of Mathematical Imaging and Vision, 2012
A multimodal database for the 1 st Cardiac Motion Analysis Challenge Catalina Tobon-Gomez, Mathieu De Craene, Annette Dahl, Stam Kapetanakis, Gerry Carr-White, Anja Lutz, Volker Rasche, Patrick Etyngier, Sebastian Kozerke, Tobias Schaeffter, Chiara Riccobene, Yves Martelli, Oscar Camara, Alejandro F. Frangi, Kawal S. Rhode Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2012
Integration of different cardiac electrophysiological models into a single simulation pipeline O. Camara, M. Sermesant, P. Lamata, L. Wang, M. Pop, J. Relan, M. De Craene, H. Delingette, H. Liu, S. Niederer, A. Pashaei, G. Plank, D. Romero, R. Sebastian, K. C. L. Wong, H. Zhang, N. Ayache, A. F. Frangi, P. Shi, N. P Smith, G. A. Wright Proceedings International Symposium on Biomedical Imaging, 2012
Integrating volumetric biomedical data in the virtual physiological human Albert Burger, Bernard de Bono, Peter Hunter, Jesus Bisbal, Alejandro F. Frangi, Corne Hoogendoorn, Duncan Davidson, Xu Gu, Richard Baldock International Conference on Information and Knowledge Management Proceedings, 2011
Cardiac magnetic resonance imaging in patients with chest pain, high troponin levels and absence of coronary artery obstruction Revista Argentina De Cardiologia, 2011
Predictive modeling of cardiac fiber orientation using the knutsson mapping Karim Lekadir, Babak Ghafaryasl, Emma Muñoz-Moreno, Constantine Butakoff, Corné Hoogendoorn, Alejandro F. Frangi Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2011
Virtual coiling of intracranial aneurysms based on dynamic path planning Hernán G. Morales, Ignacio Larrabide, Minsuok Kim, Maria-Cruz Villa-Uriol, Juan M. Macho, Jordi Blasco, Luis San Roman, Alejandro F. Frangi Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2011
OpenCMISS: A multi-physics & multi-scale computational infrastructure for the VPH/Physiome project Chris Bradley, Andy Bowery, Randall Britten, Vincent Budelmann, Oscar Camara, Richard Christie, Andrew Cookson, Alejandro F. Frangi, Thiranja Babarenda Gamage, Thomas Heidlauf, Sebastian Krittian, David Ladd, Caton Little, Kumar Mithraratne, Martyn Nash, David Nickerson, Poul Nielsen, Øyvind Nordbø, Stig Omholt, Ali Pashaei, David Paterson, Vijayaraghavan Rajagopal, Adam Reeve, Oliver Röhrle, Soroush Safaei, Rafael Sebastián, Martin Steghöfer, Tim Wu, Ting Yu, Heye Zhang, Peter Hunter Progress in Biophysics and Molecular Biology, 2011
Reply A.J Geers, I. Larrabide, A.G. Radaelli, H. Bogunovic, M. Kim, A.F. Frangi, H.A.F. Gratama van Andel, C.B. Majoie, E. VanBavel American Journal of Neuroradiology, 2011
euHeart: Personalized and integrated cardiac care using patient-specific cardiovascular modelling Nic Smith, Adelaide de Vecchi, Matthew McCormick, David Nordsletten, Oscar Camara, Alejandro F. Frangi, Hervé Delingette, Maxime Sermesant, Jatin Relan, Nicholas Ayache, Martin W. Krueger, Walther H. W. Schulze, Rod Hose, Israel Valverde, Philipp Beerbaum, Cristina Staicu, Maria Siebes, Jos Spaan, Peter Hunter, Juergen Weese, Helko Lehmann, Dominique Chapelle, Reza Rezavi Interface Focus, 2011
Comparison of phenomenological and biophysical cardiac models coupled with heterogenous structures for prediction of electrical activation sequence Computing in Cardiology, 2010
Automatic cardiac MRI segmentation using a biventricular deformable medial model Hui Sun, Alejandro F. Frangi, Hongzhi Wang, Federico M. Sukno, Catalina Tobon-Gomez, Paul A. Yushkevich Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2010
Temporal diffeomorphic free-form deformation for strain quantification in 3D-US images Mathieu De Craene, Gemma Piella, Nicolas Duchateau, Etel Silva, Adelina Doltra, Hang Gao, Jan D’hooge, Oscar Camara, Josep Brugada, Marta Sitges, Alejandro F. Frangi Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2010
Temporal diffeomorphic free-form deformation for strain quantification in 3D-US images. Medical Image Computing and Computer Assisted Intervention Miccai International Conference on Medical Image Computing and Computer Assisted Intervention, 2010
Atlas construction and image analysis using statistical cardiac models Mathieu De Craene, Federico M. Sukno, Catalina Tobon-Gomez, Constantine Butakoff, Rosa M. Figueras i Ventura, Corné Hoogendoorn, Gemma Piella, Nicolas Duchateau, Emma Muñoz-Moreno, Rafael Sebastian, Oscar Camara, Alejandro F. Frangi Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2010
@neurIST: Infrastructure for advanced disease management through integration of heterogeneous data, computing, and complex processing services Siegfried Benkner, Antonio Arbona, Guntram Berti, Alessandro Chiarini, Robert Dunlop, Gerhard Engelbrecht, Alejandro F. Frangi, Christoph M. Friedrich, Susanne Hanser, Peer Hasselmeyer, Rod D. Hose, Jimison Iavindrasana, Martin Kohler, Luigi Lo Iacono, Guy Lonsdale, Rodolphe Meyer, Bob Moore, Hariharan Rajasekaran, Paul E. Summers, Alexander Wohrer, Steven Wood IEEE Transactions on Information Technology in Biomedicine, 2010
Toward integrated management of cerebral aneurysms M. C. Villa-Uriol, I. Larrabide, J. M. Pozo, M. Kim, O. Camara, M. De Craene, C. Zhang, A. J. Geers, H. Morales, H. Bogunović, R. Cardenes, A. F. Frangi Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, 2010
A vision and strategy for the virtual physiological human in 2010 and beyond Peter Hunter, Peter V. Coveney, Bernard de Bono, Vanessa Diaz, John Fenner, Alejandro F. Frangi, Peter Harris, Rod Hose, Peter Kohl, Pat Lawford, Keith McCormack, Miriam Mendes, Stig Omholt, Alfio Quarteroni, John Skår, Jesper Tegner, S. Randall Thomas, Ioannis Tollis, Ioannis Tsamardinos, Johannes H. G. M. van Beek, Marco Viceconti Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, 2010
Genome-wide association study of intracranial aneurysm identifies three new risk loci Katsuhito Yasuno, Kaya Bilguvar, Philippe Bijlenga, Siew-Kee Low, Boris Krischek, Georg Auburger, Matthias Simon, Dietmar Krex, Zulfikar Arlier, Nikhil Nayak, Ynte M Ruigrok, Mika Niemelä, Atsushi Tajima, Mikael von und zu Fraunberg, Tamás Dóczi, Florentina Wirjatijasa, Akira Hata, Jordi Blasco, Agi Oszvald, Hidetoshi Kasuya, Gulam Zilani, Beate Schoch, Pankaj Singh, Carsten Stüer, Roelof Risselada, Jürgen Beck, Teresa Sola, Filomena Ricciardi, Arpo Aromaa, Thomas Illig, Stefan Schreiber, Cornelia M van Duijn, Leonard H van den Berg, Claire Perret, Carole Proust, Constantin Roder, Ali K Ozturk, Emília Gaál, Daniela Berg, Christof Geisen, Christoph M Friedrich, Paul Summers, Alejandro F Frangi, Matthew W State, H Erich Wichmann, Monique M B Breteler, Cisca Wijmenga, Shrikant Mane, Leena Peltonen, Vivas Elio, Miriam C J M Sturkenboom, Patricia Lawford, James Byrne, Juan Macho, Erol I Sandalcioglu, Bernhard Meyer, Andreas Raabe, Helmuth Steinmetz, Daniel Rüfenacht, Juha E Jääskeläinen, Juha Hernesniemi, Gabriel J E Rinkel, Hitoshi Zembutsu, Ituro Inoue, Aarno Palotie, François Cambien, Yusuke Nakamura, Richard P Lifton, Murat Günel Nature Genetics, 2010
The multiscenario multienvironment biosecure multimodal database (BMDB) Javier Ortega-Garcia, Julian Fierrez, Fernando Alonso-Fernandez, Javier Galbally, Manuel R Freire, Joaquin Gonzalez-Rodriguez, Carmen Garcia-Mateo, Jose-Luis Alba-Castro, Elisardo Gonzalez-Agulla, Enrique Otero-Muras, Sonia Garcia-Salicetti, Lorene Allano, Bao Ly-Van, Bernadette Dorizzi, Josef Kittler, Thirimachos Bourlai, Norman Poh, Farzin Deravi, Ming Ng, Michael Fairhurst, Jean Hennebert, Andreas Humm, Massimo Tistarelli, Linda Brodo, Jonas Richiardi, Andrezj Drygajlo, Harald Ganster, Federico M Sukno, Sri-Kaushik Pavani, Alejandro Frangi, Lale Akarun, Arman Savran IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010
Bilinear point distribution models for heart motion analysis Rosa M. Figueras i Ventura, Corne Hoogendoorn, Federico M. Sukno, Alejandro F. Frangi 2010 7th IEEE International Symposium on Biomedical Imaging from Nano to Macro Isbi 2010 Proceedings, 2010
Modeling the Purkinje conduction system with a non deterministic rule based iterative method Computers in Cardiology, 2009
A mesh-less approach for fast estimation of electrical activation time in the ventricular wall Computers in Cardiology, 2009
Cardiac injuries in blunt chest trauma Marina Huguet, Catalina Tobon-Gomez, Bart H Bijnens, Alejandro F Frangi, Marius Petit Journal of Cardiovascular Magnetic Resonance, 2009
Similarity-based Fisherfaces David Delgado-Gomez, Jens Fagertun, Bjarne Ersbøll, Federico M. Sukno, Alejandro F. Frangi Pattern Recognition Letters, 2009
The purkinje system and cardiac geometry: Assessing their influence on the paced heart Daniel Romero, Rafael Sebastian, Bart H. Bijnens, Viviana Zimmerman, Patrick M. Boyle, Edward J. Vigmond, Alejandro F. Frangi Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2009
GIMIAS: An open source framework for efficient development of research tools and clinical prototypes Ignacio Larrabide, Pedro Omedas, Yves Martelli, Xavier Planes, Maarten Nieber, Juan A. Moya, Constantine Butakoff, Rafael Sebastián, Oscar Camara, Mathieu De Craene, Bart H. Bijnens, Alejandro F. Frangi Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2009
Towards regional elastography of intracranial aneurysms Simone Balocco, Oscar Camara, Alejandro F. Frangi Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2008
Branching medial models for cardiac shape representation Hui Sun, Brian B. Avants, Alejandro F. Frangi, Sebastian Ordas, James C. Gee, Paul A. Yushkevich 2008 5th IEEE International Symposium on Biomedical Imaging from Nano to Macro Proceedings Isbi, 2008
Cardiac medial modeling and time-course heart wall thickness analysis Hui Sun, Brian B. Avants, Alejandro F. Frangi, Federico Sukno, James C. Gee, Paul A. Yushkevich Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2008
@neurIST - Chronic disease management through integration of heterogeneous data and computer-interpretable guideline services Studies in Health Technology and Informatics, 2008
The @neurIST project Studies in Health Technology and Informatics, 2008
Computational anatomy atlas of the heart Sebastian Ordas, Estanislao Oubel, Rafael Sebastian, Alejadro F. Frangi Ispa 2007 Proceedings of the 5th International Symposium on Image and Signal Processing and Analysis, 2007
Craniofacial statistical deformation models of wild-type mice and crouzon mice Hildur Ólafsdóttir, Tron A. Darvann, Bjarne K. Ersbøll, Nuno V. Hermann, Estanislao Oubel, Rasmus Larsen, Alejandro F. Frangi, Per Larsen, Chad A. Perlyn, Gillian M. Morriss-Kay, Sven Kreiborg Progress in Biomedical Optics and Imaging Proceedings of SPIE, 2007
Multiview registration of cardiac tagging MRI images Estanislao Oubel, Mathieu Craene, Mattia Gazzola, Alfred Hero, Alejandro Frangi 2007 4th IEEE International Symposium on Biomedical Imaging from Nano to Macro Proceedings, 2007
Sparse statistical deformation model for the analysis of craniofacial malformations in the crouzon mouse Hildur Ólafsdóttir, Michael Sass Hansen, Karl Sjöstrand, Tron A. Darvann, Nuno V. Hermann, Estanislao Oubel, Bjarne K. Ersbøll, Rasmus Larsen, Alejandro F. Frangi, Per Larsen, Chad A. Perlyn, Gillian M. Morriss-Kay, Sven Kreiborg Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2007
Automatic pose correction for local feature-based face authentication Daniel González-Jiménez, Federico Sukno, José Luis Alba-Castro, Alejandro Frangi Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2006
Efficient reconstruction of cardiac LV surfaces using a 3D sparse ASM H.C. van Assen, A.F. Frangi, M.G. Danilouchkine, S. Ordas, J.J.M. Westenberg, J.H.C. Reiber, B.P.F. Lelieveldt 2006 3rd IEEE International Symposium on Biomedical Imaging from Nano to Macro Proceedings, 2006
Outlook for grid service technologies within the @neurIST ehealth environment Studies in Health Technology and Informatics, 2006
Automatic quantitative analysis of myocardial wall motion and thickening from long- And short-axis cine MRI studies Annual International Conference of the IEEE Engineering in Medicine and Biology Proceedings, 2005
A survey of three-dimensional modeling techniques for quantitative functional analysis of cardiac images Advanced Image Processing in Magnetic Resonance Imaging, 2005
Characterization of cerebral aneurysms using 3D moment invariants Raul D. Millan, Monica Hernandez, Daniel Gallardo, Juan R. Cebral, Christopher Putman, Laura Dempere-Marco, Alejandro F. Frangi Progress in Biomedical Optics and Imaging Proceedings of SPIE, 2005
Vascular imaging A.F. Frangi, A.A. Amini, E. Bullitt IEEE Transactions on Medical Imaging, 2005
Parametric optimization of a model-based segmentation algorithm for cardiac MR image analysis: A grid-computing approach Studies in Health Technology and Informatics, 2005
Subject-specific modeling of intracranial aneurysms Juan R. Cebral, Monica Hernandez, Alejandro Frangi, Christopher Putman, Richard Pergolizzi, James Burgess Proceedings of SPIE the International Society for Optical Engineering, 2004
AV@CAR: A Spanish multichannel multimodal corpus for in-vehicle automatic audio-visual speech recognition Proceedings of the 4th International Conference on Language Resources and Evaluation Lrec 2004, 2004
Low resource lip finding and tracking algorithm for embedded devices Eurospeech 2003 8th European Conference on Speech Communication and Technology, 2003
Low Resource Lip Finding and Tracking Algorithm for Embedded Devices Avsp 2003 International Conference on Audio Visual Speech Processing, 2003
Automatic construction of biventricular statistical shape models A. F. Frangi, D. Rueckert, J. A. Schnabel, W. J. Niessen Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2003
A non-linear gray-level appearance model improves active shape model segmentation Proceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis, 2001
Segmentation of bone tumor in MR perfusion images using neural networks and multiscale pharmacokinetic features Proceedings International Conference on Pattern Recognition, 2000
Guide wire tracking during endovascular interventions S. A. M. Baert, W. J. Niessen, E. H. W. Meijering, A. F. Frangi, M. A. Viergever Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2000
Three-dimensional model-based stenosis quantification of the carotid arteries from contrast-enhanced MR angiography Proceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis, 2000
Quantitation of vessel morphology from 3D MRA A. F. Frangi, W. J. Niessen, R. M. Hoogeveen, T. van Walsum, M. A. Viergever Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 1999
Multiscale vessel enhancement filtering Alejandro F. Frangi, Wiro J. Niessen, Koen L. Vincken, Max A. Viergever Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 1998
Theoretical analysis of noise in electrical impedance tomographic images Annual International Conference of the IEEE Engineering in Medicine and Biology Proceedings, 1997
Quantification improvement in EIT reconstruction algorithms by incorporating a priori geometrical information Annual International Conference of the IEEE Engineering in Medicine and Biology Proceedings, 1996
RECENT SCHOLAR PUBLICATIONS
Multi-attention-aware motion estimation for cardiac MR imaging based on a feature pyramid network K Wu, X Chen, N Cheng, N Ravikumar, AF Frangi Biomedical Signal Processing and Control 118, 109714 , 2026 2026
Fourier-Net+: Band-Limited Spatial Representation for Efficient Medical Image Registration X Jia, A Thorley, A Gomez, W Lu, D Kotecha, AF Frangi, J Duan IEEE Transactions on Neural Networks and Learning Systems , 2026 2026
Convergent Stochastic Training of Attention and Understanding LoRA Z Sun, D Kumar, AF Frangi, A Mukherjee, M Sun arXiv preprint arXiv:2605.07959 , 2026 2026
Ctrl-GenAug: Controllable generative augmentation for medical sequence classification X Zhou, Y Huang, H Dou, S Chen, A Chang, J Liu, W Long, J Zheng, E Xu, ... International Journal of Computer Vision 134 (5), 216 , 2026 2026 Citations: 2
Angiography-free diagnosis of retinal diseases via interpretable multi-modal learning J Hao, W Li, H Qi, Y Zheng, H Fu, AF Frangi, Y Zhao npj Digital Medicine , 2026 2026
Method and apparatus for generating virtual populations of anatomy AF Frangi, N Ravikumar US Patent App. 19/116,966 , 2026 2026
Correction: Dynamic accelerated cardiac CINE MRI reconstruction based on motion compensation K Wu, J Pu, AF Frangi, X Lin, N Jiang The Visual Computer 42 (7) , 2026 2026
An effective deep learning algorithm for medical image registration J Deng, K Chen, M Li, Z Zuo, AF Frangi, J Zhang PLOS Digital Health 5 (4), e0001339 , 2026 2026
Method and apparatus for generating subject-specific magnetic resonance angiography images from other multi-contrast magnetic resonance images Y Xia, N Ravikumar, AF Frangi US Patent 12,602,798 , 2026 2026
Dynamic accelerated cardiac CINE MRI reconstruction based on motion compensation: K. Wu et al. K Wu, J Pu, AF Frangi, X Lin, N Jiang The Visual Computer 42 (6), 247 , 2026 2026
Ophthalmic features in stroke patients: a systematic review of imaging studies A Sarian, Z Girach, J Cooper-Knock, AF Frangi, PI Sergouniotis, TH Julian Current Eye Research, 1-12 , 2026 2026
Generalization Bounds for Physics-Informed Neural Networks for the Incompressible Navier-Stokes Equations S Andre-Sloan, D Kumar, AF Frangi, A Mukherjee arXiv preprint arXiv:2603.23072 , 2026 2026
Artificial Intelligence for Detecting Fetal Orofacial Clefts and Advancing Medical Education Y Zhang, Y Huang, H Dou, X Zhu, C Ling, Z Yang, L Liang, J Li, S Liang, ... arXiv preprint arXiv:2603.06522 , 2026 2026
Virtual Population to Re-assess AAA Risk Using Neck Geometry and Shape Compactness Alongside Maximum Diameter V Nandurdikar, A Tyagi, T Canchi, AF Frangi, A Revell, AB Harish bioRxiv, 2026.02. 27.708461 , 2026 2026
Computational modeling and simulation for medical devices: a summary of the 2024 FDA/MDIC Symposium BA Craven, CA Basciano, P Afshari, KI Aycock, JJ Ballyns, AP Baumann, ... Progress in Biomedical Engineering 8 (1), 013001 , 2026 2026
Unlocking the potential of disease prevention through regulatory science DJ O’Connor, AC Cave, AF Frangi, J Hardy, J Kennard, K Goodey, V Acha, ... Nature Reviews Drug Discovery , 2026 2026 Citations: 1
Multiple teachers‐meticulous student: A domain adaptive meta‐knowledge distillation model for medical image classification S Nabavi, K Anvari Hamedani, M Ebrahimi Moghaddam, AA Abin, ... Medical Physics 53 (2), e70350 , 2026 2026 Citations: 9
A Calibrated Memorization Index (MI) for Detecting Training Data Leakage in Generative MRI Models Y Deo, Y Jia, T Lassila, VJ Hodge, AF Frangi, C Qian, S Kang, I Habli Proceedings of IEEE International Symposium on Biomedical Imaging (ISBI) , 2026 2026
Automated hemodynamic modeling to explore arterial curvature effects on intracranial aneurysm initiation A Konsens, AF Frangi, G Marom Computer Methods and Programs in Biomedicine, 109245 , 2026 2026
Plasticine: A Traceable Diffusion Model for Medical Image Translation T Zhanng, X Cheng, J Cheng, S Zheng, H Zhao, H Fu, AF Frangi, J Liu, ... IEEE Transactions on Artificial Intelligence , 2025 2025
MOST CITED SCHOLAR PUBLICATIONS
Multiscale vessel enhancement filtering AF Frangi, WJ Niessen, KL Vincken, MA Viergever International conference on medical image computing and computer-assisted … , 1998 1998 Citations: 6169
Two-dimensional PCA: a new approach to appearance-based face representation and recognition J Yang, D Zhang, AF Frangi, J Yang IEEE transactions on pattern analysis and machine intelligence 26 (1), 131-137 , 2004 2004 Citations: 5130
KPCA plus LDA: a complete kernel Fisher discriminant framework for feature extraction and recognition J Yang, AF Frangi, J Yang, D Zhang, Z Jin IEEE Transactions on pattern analysis and machine intelligence 27 (2), 230-244 , 2005 2005 Citations: 1083
The UK Biobank imaging enhancement of 100,000 participants: rationale, data collection, management and future directions TJ Littlejohns, J Holliday, LM Gibson, S Garratt, N Oesingmann, ... Nature communications 11 (1), 2624 , 2020 2020 Citations: 943
Three-dimensional modeling for functional analysis of cardiac images, a review AF Frangi, WJ Niessen, MA Viergever IEEE transactions on medical imaging 20 (1), 2-5 , 2002 2002 Citations: 866
Active shape model segmentation with optimal features B Van Ginneken, AF Frangi, JJ Staal, BM ter Haar Romeny, MA Viergever IEEE transactions on medical imaging 21 (8), 924-933 , 2002 2002 Citations: 754
Efficient pipeline for image-based patient-specific analysis of cerebral aneurysm hemodynamics: technique and sensitivity JR Cebral, MA Castro, S Appanaboyina, CM Putman, D Millan, AF Frangi IEEE transactions on medical imaging 24 (4), 457-467 , 2005 2005 Citations: 739
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III N Navab, J Hornegger, WM Wells, A Frangi Springer , 2015 2015 Citations: 704
Automatic construction of 3-D statistical deformation models of the brain using nonrigid registration D Rueckert, AF Frangi, JA Schnabel IEEE transactions on medical imaging 22 (8), 1014-1025 , 2003 2003 Citations: 586
Automatic construction of multiple-object three-dimensional statistical shape models: Application to cardiac modeling AF Frangi, D Rueckert, JA Schnabel, WJ Niessen IEEE transactions on medical imaging 21 (9), 1151-1166 , 2003 2003 Citations: 577
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare K Lekadir, AF Frangi, AR Porras, B Glocker, C Cintas, CP Langlotz, ... BMJ 388 , 2025 2025 Citations: 575
Model-based quantitation of 3-D magnetic resonance angiographic images AF Frangi, WJ Niessen, RM Hoogeveen, T Van Walsum, MA Viergever IEEE Transactions on medical imaging 18 (10), 946-956 , 1999 1999 Citations: 506
CS2-Net: Deep learning segmentation of curvilinear structures in medical imaging JL Lei Mou, Yitian Zhao, Huazhu Fu, Yonghuai Liu, Jun Cheng, Yalin Zheng ... Med. Image Anal 67 , 2021 2021 Citations: 473
Why rankings of biomedical image analysis competitions should be interpreted with care L Maier-Hein, M Eisenmann, A Reinke, S Onogur, M Stankovic, P Scholz, ... Nature communications 9 (1), 5217 , 2018 2018 Citations: 465
Genome-wide association study of intracranial aneurysm identifies three new risk loci K Yasuno, K Bilguvar, P Bijlenga, SK Low, B Krischek, G Auburger, ... Nature genetics 42 (5), 420-425 , 2010 2010 Citations: 382
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 (2), 155-195 , 2016 2016 Citations: 376
CS-Net: Channel and spatial attention network for curvilinear structure segmentation L Mou, Y Zhao, L Chen, J Cheng, Z Gu, H Hao, H Qi, Y Zheng, AF Frangi, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd … , 2019 2019 Citations: 375
Vascular dysfunction in the pathogenesis of Alzheimer's disease—a review of endothelium-mediated mechanisms and ensuing vicious circles LY Di Marco, A Venneri, E Farkas, PC Evans, A Marzo, AF Frangi Neurobiology of disease 82, 593-606 , 2015 2015 Citations: 328
The multiscenario multienvironment biosecure multimodal database (BMDB) J Ortega-Garcia, J Fierrez, F Alonso-Fernandez, J Galbally, MR Freire, ... IEEE Transactions on Pattern Analysis and Machine Intelligence 32 (6), 1097-1111 , 2009 2009 Citations: 319
Virtual clinical trials in medical imaging: a review E Abadi, WP Segars, BMW Tsui, PE Kinahan, N Bottenus, AF Frangi, ... Journal of Medical Imaging 7 (4), 042805-042805 , 2020 2020 Citations: 312
