Alejandro F. Frangi

Manchester Academic Health Science Centre — United Kingdom

Computer Science · Physical Sciences

75h-index33.2kcitations871works7.12yr avg
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Research Topics

Medical Image Segmentation Techniques(180), Advanced MRI Techniques and Applications(109), Intracranial Aneurysms: Treatment and Complications(104), Radiomics and Machine Learning in Medical Imaging(99), Cerebrovascular and Carotid Artery Diseases(92)

Publications868 total

Multiple teachers‐meticulous student: A domain adaptive meta‐knowledge distillation model for medical image classification
Medical Physics·2026Open Access
Plasticine: A Traceable Diffusion Model for Medical Image Translation
IEEE Transactions on Artificial Intelligence·2025
Plasticine: A Traceable Diffusion Model for Medical Image Translation
ArXiv.org·2025Open Access
Plasticine: A Traceable Diffusion Model for Medical Image Translation
arXiv (Cornell University)·2025Open Access
Predicting cardiovascular disease risk using retinal optical coherence tomography imaging
Frontiers in Artificial Intelligence·2025· 1 citedOpen Access
Computational modeling and simulation for medical devices: a summary of the 2024 FDA/MDIC Symposium
Progress in Biomedical Engineering·2025Open Access
The concept of virtual clinical trials: A game changer in radiation oncology research?
Radiotherapy and Oncology·2025Open Access
Synthetic Anatomy: Deep Learning Models for Virtual Population Generation–A Review
2025Open Access
Imaging genetics of the beating heart: disentangling static and dynamic cardiac phenotypes
2025Open Access
StressMAP: A Surrogate Model for Predicting Pacemaker Dependency in TAVI In-Silico Trials
Global Cardiology Science and Practice·2025Open Access
Precision TAVR quantification— AI-accelerated TAVR planning reduces assessment time by 80% in bicuspid aortic stenosis
European Heart Journal - Imaging Methods and Practice·2025Open Access
Developing a knowledge-guided federated graph attention learning network with a diffusion module to diagnose Alzheimer’s disease
Medical Image Analysis·2025· 1 citedOpen Access
Ophthalmic imaging as a measure of cardiovascular and neurological health: a multi-omic analysis of deep-learning derived phenotypes
2025Open Access
SACB-Net: Spatial-Awareness Convolutions for Medical Image Registration
2025· 2 cited
Chemoradiotherapy and Local Excision vs Total Mesorectal Excision in T2-T3ab, N0, M0 Rectal Cancer
JAMA Surgery·2025· 9 cited
Multi-view hybrid graph convolutional network for volume-to-mesh reconstruction in cardiovascular MRI
Medical Image Analysis·2025· 4 citedOpen Access
Digital twins for the era of personalized surgery
npj Digital Medicine·2025· 22 citedOpen Access
Metrics that matter: Evaluating image quality metrics for medical image generation
arXiv (Cornell University)·2025Open Access
From Pixels to Polygons: A Survey of Deep Learning Approaches for Medical Image-to-Mesh Reconstruction
arXiv (Cornell University)·2025Open Access
An End-to-End Deep Learning Generative Framework for Refinable Shape Matching and Generation
IEEE Transactions on Medical Imaging·2025Open Access
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Frequent Co-authors

Philippe Bijlenga(6), Daniel A. Rüfenacht(6), Wiro J. Niessen(5), Max A. Viergever(4), Daniel Rueckert(4), Julia A. Schnabel(4), Roelof Risselada(4), Christoph M. Friedrich(4), Paul Summers(4), Miriam Sturkenboom(4), James V. Byrne(4), Óscar Cámara(4), Rod Hose(4), Jian Yang(3), David Zhang(3), Jingyu Yang(3), Nassir Navab(3), Joachim Hornegger(3), William M. Wells(3), Juan R. Cebral(3)