Alejandro F. Frangi

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 198

Top Venues

CoRR

Medical Image Anal.

IEEE Trans. Medical Imaging

MICCAI (3)

Publications

Kun Wu, Yan Xia, Nishant Ravikumar, Alejandro F. Frangi
Compressed sensing using a deep adaptive perceptual generative adversarial network for MRI reconstruction from undersampled K-space data. Biomed. Signal Process. Control. 96 (2024)
Fengming Lin, Yan Xia, Michael MacRaild, Yash Deo, Haoran Dou, Qiongyao Liu, Kun Wu, Nishant Ravikumar, Alejandro F. Frangi
Unsupervised Domain Adaptation for Brain Vessel Segmentation through Transwarp Contrastive Learning. CoRR (2024)
Soodeh Kalaie, Andy Bulpitt, Alejandro F. Frangi, Ali Gooya
An End-to-End Deep Learning Generative Framework for Refinable Shape Matching and Generation. CoRR (2024)
Asma Alzaid, Beth Lineham, Sanja Dogramadzi, Hemant Pandit, Alejandro F. Frangi, Sheng Quan Xie
Simultaneous Hip Implant Segmentation and Gruen Landmarks Detection. IEEE J. Biomed. Health Informatics 28 (1) (2024)
Xiangyuan Liu, Zhongke Wu, Xingce Wang, Quansheng Liu, Jose M. Pozo, Alejandro F. Frangi
Joint magnetic resonance imaging artifacts and noise reduction on discrete shape space of images. Pattern Recognit. 153 (2024)
Cynthia Maldonado García, Rodrigo Bonazzola, Enzo Ferrante, Thomas H. Julian, Panagiotis I Sergouniotis, Nishant Ravikumar, Alejandro F. Frangi
Predicting risk of cardiovascular disease using retinal OCT imaging. CoRR (2024)
Rodrigo Bonazzola, Enzo Ferrante, Nishant Ravikumar, Yan Xia, Bernard D. Keavney, Sven Plein, Tanveer F. Syeda-Mahmood, Alejandro F. Frangi
Unsupervised ensemble-based phenotyping enhances discoverability of genes related to left-ventricular morphology. Nat. Mac. Intell. 6 (3) (2024)
Xudong Ru, Haichuan Zhao, Xingce Wang, Zhongke Wu, Shaolong Liu, Yi-Cheng Zhu, Alejandro F. Frangi
Vector-Aware Anisotropic Gauge Equivariant Mesh Convolution Network for 3D Aneurysm Detection. ICMR (2024)
Fengming Lin, Yan Xia, Michael MacRaild, Yash Deo, Haoran Dou, Qiongyao Liu, Nina Cheng, Nishant Ravikumar, Alejandro F. Frangi
GS-EMA: Integrating Gradient Surgery Exponential Moving Average with Boundary-Aware Contrastive Learning for Enhanced Domain Generalization in Aneurysm Segmentation. CoRR (2024)
Behnaz Elhaminia, Alexandra Gilbert, Alejandro F. Frangi, Andrew F. Scarsbrook, John Lilley, Ane Appelt, Ali Gooya
Deep learning with visual explanation for radiotherapy-induced toxicity prediction. Medical Imaging: Computer-Aided Diagnosis (2023)
Yash Deo, Rodrigo Bonazzola, Haoran Dou, Yan Xia, Tianyou Wei, Nishant Ravikumar, Alejandro F. Frangi, Toni Lassila
Learned Local Attention Maps for Synthesising Vessel Segmentations. CoRR (2023)
Fergus Shone, Nishant Ravikumar, Toni Lassila, Michael MacRaild, Yongxing Wang, Zeike A. Taylor, Peter K. Jimack, Erica Dall' Armellina, Alejandro F. Frangi
Deep Physics-Informed Super-Resolution of Cardiac 4D-Flow MRI. IPMI (2023)
Nurbanu Aksoy, Nishant Ravikumar, Alejandro F. Frangi
Radiology Report Generation Using Transformers Conditioned with Non-imaging Data. CoRR (2023)
Rachael Harkness, Alejandro F. Frangi, Kieran Zucker, Nishant Ravikumar
Learning disentangled representations for explainable chest X-ray classification using Dirichlet VAEs. CoRR (2023)
Yan Xia, Nishant Ravikumar, Toni Lassila, Alejandro F. Frangi
Virtual high-resolution MR angiography from non-angiographic multi-contrast MRIs: synthetic vascular model populations for in-silico trials. Medical Image Anal. 87 (2023)
Thomas Hartung, Jun Deng, Raghvendra Mall, Alejandro F. Frangi, Frank Emmert-Streib, Tuan D. Pham
Editorial: Insights in AI: Medicine and public health 2022. Frontiers Artif. Intell. 6 (2023)
Xuegang Song, Feng Zhou, Alejandro F. Frangi, Jiuwen Cao, Xiaohua Xiao, Yi Lei, Tianfu Wang, Baiying Lei
Multicenter and Multichannel Pooling GCN for Early AD Diagnosis Based on Dual-Modality Fused Brain Network. IEEE Trans. Medical Imaging 42 (2) (2023)
Arezoo Zakeri, Alireza Hokmabadi, Ning Bi, Isuru Wijesinghe, Michael G. Nix, Steffen E. Petersen, Alejandro F. Frangi, Zeike A. Taylor, Ali Gooya
DragNet: Learning-based deformable registration for realistic cardiac MR sequence generation from a single frame. Medical Image Anal. 83 (2023)
Rodrigo Bonazzola, Enzo Ferrante, Nishant Ravikumar, Yan Xia, Bernard Keavney, Sven Plein, Tanveer F. Syeda-Mahmood, Alejandro F. Frangi
Unsupervised ensemble-based phenotyping helps enhance the discoverability of genes related to heart morphology. CoRR (2023)
Huazhu Fu, Yitian Zhao, Pew-Thian Yap, Carola-Bibiane Schönlieb, Alejandro F. Frangi
Guest Editorial Special Issue on Geometric Deep Learning in Medical Imaging. IEEE Trans. Medical Imaging 42 (2) (2023)
Nurbanu Aksoy, Serge Sharoff, Selcuk Baser, Nishant Ravikumar, Alejandro F. Frangi
Beyond Images: An Integrative Multi-modal Approach to Chest X-Ray Report Generation. CoRR (2023)
Fengming Lin, Yan Xia, Nishant Ravikumar, Qiongyao Liu, Michael MacRaild, Alejandro F. Frangi
Adaptive Semi-Supervised Segmentation of Brain Vessels with Ambiguous Labels. CoRR (2023)
Haoran Dou, Ning Bi, Luyi Han, Yuhao Huang, Ritse Mann, Xin Yang, Dong Ni, Nishant Ravikumar, Alejandro F. Frangi, Yunzhi Huang
GSMorph: Gradient Surgery for Cine-MRI Cardiac Deformable Registration. MICCAI (10) (2023)
Yash Deo, Rodrigo Bonazzola, Haoran Dou, Yan Xia, Tianyou Wei, Nishant Ravikumar, Alejandro F. Frangi, Toni Lassila
Learned Local Attention Maps for Synthesising Vessel Segmentations from T2 MRI. SASHIMI@MICCAI (2023)
Selin Aviyente, Alejandro F. Frangi, Erik Meijering, Arrate Muñoz-Barrutia, Michael Liebling, Dimitri Van De Ville, Jean-Christophe Olivo-Marin, Jelena Kovacevic, Michael Unser
From Nano to Macro: An overview of the IEEE Bio Image and Signal Processing Technical Committee. IEEE Signal Process. Mag. 40 (4) (2023)
Fengming Lin, Yan Xia, Nishant Ravikumar, Qiongyao Liu, Michael MacRaild, Alejandro F. Frangi
Adaptive Semi-supervised Segmentation of Brain Vessels with Ambiguous Labels. DALI@MICCAI (2023)
Yash Deo, Haoran Dou, Nishant Ravikumar, Alejandro F. Frangi, Toni Lassila
Shape-Guided Conditional Latent Diffusion Models for Synthesising Brain Vasculature. DGM4MICCAI (2023)
Haoran Dou, Nishant Ravikumar, Alejandro F. Frangi
A Conditional Flow Variational Autoencoder for Controllable Synthesis of Virtual Populations of Anatomy. MICCAI (7) (2023)
Haoran Dou, Ning Bi, Luyi Han, Yuhao Huang, Ritse Mann, Xin Yang, Dong Ni, Nishant Ravikumar, Alejandro F. Frangi, Yunzhi Huang
GSMorph: Gradient Surgery for cine-MRI Cardiac Deformable Registration. CoRR (2023)
Shahabedin Nabavi, Hossein Simchi, Mohsen Ebrahimi Moghaddam, Ahmad Ali Abin, Alejandro F. Frangi
A generalised deep meta-learning model for automated quality control of cardiovascular magnetic resonance images. Comput. Methods Programs Biomed. 242 (2023)
Behnaz Elhaminia, Alexandra Gilbert, John Lilley, Moloud Abdar, Alejandro F. Frangi, Andrew F. Scarsbrook, Ane Appelt, Ali Gooya
Toxicity Prediction in Pelvic Radiotherapy Using Multiple Instance Learning and Cascaded Attention Layers. IEEE J. Biomed. Health Informatics 27 (4) (2023)
Zhenhong Liu, Xingce Wang, Zhongke Wu, Yi-Cheng Zhu, Alejandro F. Frangi
Simultaneous Super-Resolution and Denoising on MRI via Conditional Stochastic Normalizing Flow. BIBM (2023)
Soodeh Kalaie, Andrew J. Bulpitt, Alejandro F. Frangi, Ali Gooya
A Geometric Deep Learning Framework for Generation of Virtual Left Ventricles as Graphs. MIDL (2023)
Rachael Harkness, Alejandro F. Frangi, Kieran Zucker, Nishant Ravikumar
Learning disentangled representations for explainable chest x-ray classification using Dirichlet VAEs. Medical Imaging: Image Processing (2023)
Nicolás Gaggion, Benjamin A. Matheson, Yan Xia, Rodrigo Bonazzola, Nishant Ravikumar, Zeike A. Taylor, Diego H. Milone, Alejandro F. Frangi, Enzo Ferrante
Multi-view Hybrid Graph Convolutional Network for Volume-to-mesh Reconstruction in Cardiovascular MRI. CoRR (2023)
Mingyuan Luo, Xin Yang, Hongzhang Wang, Haoran Dou, Xindi Hu, Yuhao Huang, Nishant Ravikumar, Songcheng Xu, Yuanji Zhang, Yi Xiong, Wufeng Xue, Alejandro F. Frangi, Dong Ni, Litao Sun
RecON: Online learning for sensorless freehand 3D ultrasound reconstruction. Medical Image Anal. 87 (2023)
Haoran Dou, Nishant Ravikumar, Alejandro F. Frangi
A Conditional Flow Variational Autoencoder for Controllable Synthesis of Virtual Populations of Anatomy. CoRR (2023)
Karim Lekadir, Aasa Feragen, Abdul Joseph Fofanah, Alejandro F. Frangi, Alena Buyx, Anais Emelie, Andrea Lara, Antonio R. Porras, An-Wen Chan, Arcadi Navarro, Ben Glocker, Benard Ohene Botwe, Bishesh Khanal, Brigit Beger, Carol C. Wu, Celia Cintas, Curtis P. Langlotz, Daniel Rueckert, Deogratias Mzurikwao, Dimitrios I. Fotiadis, Doszhan Zhussupov, Enzo Ferrante, Erik Meijering, Eva Weicken, Fabio A. González, Folkert W. Asselbergs, Fred W. Prior, Gabriel P. Krestin, Gary S. Collins, Geletaw Sahle Tegenaw, Georgios Kaissis, Gianluca Misuraca, Gianna Tsakou, Girish Dwivedi, Haridimos Kondylakis, Harsha Jayakody, Henry C. Woodruff, Hugo J. W. L. Aerts, Ian Walsh, Ioanna Chouvarda, Irène Buvat, Islem Rekik, James S. Duncan, Jayashree Kalpathy-Cramer, Jihad Zahir, Jinah Park, John Mongan, Judy W. Gichoya, Julia A. Schnabel, et al.
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare. CoRR (2023)
Yash Deo, Haoran Dou, Nishant Ravikumar, Alejandro F. Frangi, Toni Lassila
Shape-guided Conditional Latent Diffusion Models for Synthesising Brain Vasculature. CoRR (2023)
Jie Zhang, Yihui Zhao, Tianzhe Bao, Zhenhong Li, Kun Qian, Alejandro F. Frangi, Sheng Quan Xie, Zhiqiang Zhang
Boosting Personalized Musculoskeletal Modeling With Physics-Informed Knowledge Transfer. IEEE Trans. Instrum. Meas. 72 (2023)
Moloud Abdar, Mohammad Amin Fahami, Leonardo Rundo, Petia Radeva, Alejandro F. Frangi, U. Rajendra Acharya, Abbas Khosravi, Hak-Keung Lam, Alexander Jung, Saeid Nahavandi
Hercules: Deep Hierarchical Attentive Multilevel Fusion Model With Uncertainty Quantification for Medical Image Classification. IEEE Trans. Ind. Informatics 19 (1) (2023)
Fengming Lin, Yan Xia, Shuang Song, Nishant Ravikumar, Alejandro F. Frangi
High-throughput 3DRA segmentation of brain vasculature and aneurysms using deep learning. Comput. Methods Programs Biomed. 230 (2023)
Huaifei Hu, Ning Pan, Alejandro F. Frangi
Fully Automatic initialization and segmentation of left and right ventricles for large-scale cardiac MRI using a deeply supervised network and 3D-ASM. Comput. Methods Programs Biomed. 240 (2023)
Cynthia Maldonado García, Rodrigo Bonazzola, Nishant Ravikumar, Alejandro F. Frangi
Predicting Myocardial Infarction Using Retinal OCT Imaging. MIUA (2022)
Cheng Zhao, Weiling Chen, Jing Qin, Peng Yang, Zhuo Xiang, Alejandro F. Frangi, Minsi Chen, Shumin Fan, Wei Yu, Xunyi Chen, Bei Xia, Tianfu Wang, Baiying Lei
IFT-Net: Interactive Fusion Transformer Network for Quantitative Analysis of Pediatric Echocardiography. Medical Image Anal. 82 (2022)
Xiaoqin Zhang, Runhua Jiang, Pengcheng Huang, Tao Wang, Mingjun Hu, Andrew F. Scarsbrook, Alejandro F. Frangi
Dynamic feature learning for COVID-19 segmentation and classification. Comput. Biol. Medicine 150 (2022)
Haoran Dou, Seppo Virtanen, Nishant Ravikumar, Alejandro F. Frangi
A Generative Shape Compositional Framework: Towards Representative Populations of Virtual Heart Chimaeras. CoRR (2022)
Mojtaba Lashgari, Nishant Ravikumar, Irvin Teh, Jing-Rebecca Li, David L. Buckley, Jürgen E. Schneider, Alejandro F. Frangi
Three-dimensional micro-structurally informed in silico myocardium - Towards virtual imaging trials in cardiac diffusion weighted MRI. Medical Image Anal. 82 (2022)
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
Predicting myocardial infarction through retinal scans and minimal personal information. Nat. Mach. Intell. 4 (1) (2022)
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
Author Correction: Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detection. npj Digit. Medicine 5 (2022)
Haoran Dou, Luyi Han, Yushuang He, Jun Xu, Nishant Ravikumar, Ritse Mann, Alejandro F. Frangi, Pew-Thian Yap, Yunzhi Huang
Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework. MICCAI (4) (2022)
Xiang Chen, Yan Xia, Nishant Ravikumar, Alejandro F. Frangi
Joint segmentation and discontinuity-preserving deformable registration: Application to cardiac cine-MR images. CoRR (2022)
Haoran Dou, Luyi Han, Yushuang He, Jun Xu, Nishant Ravikumar, Ritse Mann, Alejandro F. Frangi, Pew-Thian Yap, Yunzhi Huang
Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework. CoRR (2022)
Nina Cheng, Rodrigo Bonazzola, Nishant Ravikumar, Alejandro F. Frangi
A Generative Framework for Predicting Myocardial Strain from Cine-Cardiac Magnetic Resonance Imaging. MIUA (2022)
Arezoo Zakeri, Alireza Hokmabadi, Nishant Ravikumar, Alejandro F. Frangi, Ali Gooya
A probabilistic deep motion model for unsupervised cardiac shape anomaly assessment. Medical Image Anal. 75 (2022)
Mojtaba Lashgari, Nishant Ravikumar, Irvin Teh, Jing-Rebecca Li, David L. Buckley, Jürgen E. Schneider, Alejandro F. Frangi
Three-dimensional micro-structurally informed in silico myocardium - towards virtual imaging trials in cardiac diffusion weighted MRI. CoRR (2022)
Yuxin Zou, Haoran Dou, Yuhao Huang, Xin Yang, Jikuan Qian, Chaojiong Zhen, Xiaodan Ji, Nishant Ravikumar, Guoqiang Chen, Weijun Huang, Alejandro F. Frangi, Dong Ni
Agent with Tangent-Based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound. MICCAI (4) (2022)
Yuxin Zou, Haoran Dou, Yuhao Huang, Xin Yang, Jikuan Qian, Chaojiong Zhen, Xiaodan Ji, Nishant Ravikumar, Guoqiang Chen, Weijun Huang, Alejandro F. Frangi, Dong Ni
Agent with Tangent-based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound. CoRR (2022)
Yan Xia, Nishant Ravikumar, Alejandro F. Frangi
Learning to complete incomplete hearts for population analysis of cardiac MR images. Medical Image Anal. 77 (2022)
Yan Xia, Xiang Chen, Nishant Ravikumar, Christopher Kelly, Rahman Attar, Nay Aung, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi
Automatic 3D+t four-chamber CMR quantification of the UK biobank: integrating imaging and non-imaging data priors at scale. Medical Image Anal. 80 (2022)
Huazhu Fu, Tao Zhou, Shuo Li, Alejandro F. Frangi
Guest Editorial Generative Adversarial Networks in Biomedical Image Computing. IEEE J. Biomed. Health Informatics 26 (1) (2022)
Zhongwei Huang, Haijun Lei, Guoliang Chen, Alejandro F. Frangi, Yanwu Xu, Ahmed Elazab, Jing Qin, Baiying Lei
Parkinson's Disease Classification and Clinical Score Regression via United Embedding and Sparse Learning From Longitudinal Data. IEEE Trans. Neural Networks Learn. Syst. 33 (8) (2022)
Anabik Pal, Akshay Chaturvedi, Aditi Chandra, Raghunath Chatterjee, Swapan Senapati, Alejandro F. Frangi, Utpal Garain
MICaps: Multi-instance capsule network for machine inspection of Munro's microabscess. Comput. Biol. Medicine 140 (2022)
Yuhao Huang, Xin Yang, Yuxin Zou, Chaoyu Chen, Jian Wang, Haoran Dou, Nishant Ravikumar, Alejandro F. Frangi, Jianqiao Zhou, Dong Ni
Flip Learning: Erase to Segment. MICCAI (1) (2021)
Zhendong Liu, Xiaoqiong Huang, Xin Yang, Rui Gao, Rui Li, Yuanji Zhang, Yankai Huang, Guangquan Zhou, Yi Xiong, Alejandro F. Frangi, Dong Ni
Generalize Ultrasound Image Segmentation via Instant and Plug & Play Style Transfer. CoRR (2021)
Lei Mou, Yitian Zhao, Huazhu Fu, Yonghuai Liu, Jun Cheng, Yalin Zheng, Pan Su, Jianlong Yang, Li Chen, Alejandro F. Frangi, Masahiro Akiba, Jiang Liu
CS2-Net: Deep learning segmentation of curvilinear structures in medical imaging. Medical Image Anal. 67 (2021)
Xiang Chen, Yan Xia, Nishant Ravikumar, Alejandro F. Frangi
A Deep Discontinuity-Preserving Image Registration Network. MICCAI (4) (2021)
Rachael Harkness, Geoff Hall, Alejandro F. Frangi, Nishant Ravikumar, Kieran Zucker
The Pitfalls of Using Open Data to Develop Deep Learning Solutions for COVID-19 Detection in Chest X-Rays. MedInfo (2021)
Yuan Jin, Antonio Pepe, Jianning Li, Christina Gsaxner, Fen-hua Zhao, Jens Kleesiek, Alejandro F. Frangi, Jan Egger
AI-based Aortic Vessel Tree Segmentation for Cardiovascular Diseases Treatment: Status Quo. CoRR (2021)
Rodrigo Bonazzola, Nishant Ravikumar, Rahman Attar, Enzo Ferrante, Tanveer F. Syeda-Mahmood, Alejandro F. Frangi
Image-Derived Phenotype Extraction for Genetic Discovery via Unsupervised Deep Learning in CMR Images. MICCAI (5) (2021)
Yan Xia, Le Zhang, Nishant Ravikumar, Rahman Attar, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi
Recovering from missing data in population imaging - Cardiac MR image imputation via conditional generative adversarial nets. Medical Image Anal. 67 (2021)
Rachael Harkness, Geoff Hall, Alejandro F. Frangi, Nishant Ravikumar, Kieran Zucker
The pitfalls of using open data to develop deep learning solutions for COVID-19 detection in chest X-rays. CoRR (2021)
Xiang Chen, Yan Xia, Nishant Ravikumar, Alejandro F. Frangi
CAR-Net: Unsupervised Co-Attention Guided Registration Network for Joint Registration and Structure Learning. CoRR (2021)
Yan Xia, Nishant Ravikumar, John P. Greenwood, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi
Super-Resolution of Cardiac MR Cine Imaging using Conditional GANs and Unsupervised Transfer Learning. Medical Image Anal. 71 (2021)
Shahabedin Nabavi, Azar Ejmalian, Mohsen Ebrahimi Moghaddam, Ahmad Ali Abin, Alejandro F. Frangi, Mohammad Mohammadi, Hamidreza Saligheh Rad
Medical imaging and computational image analysis in COVID-19 diagnosis: A review. Comput. Biol. Medicine 135 (2021)
Xiang Chen, Nishant Ravikumar, Yan Xia, Rahman Attar, Andres Diaz-Pinto, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi
Shape registration with learned deformations for 3D shape reconstruction from sparse and incomplete point clouds. Medical Image Anal. 74 (2021)
Yuhao Huang, Xin Yang, Yuxin Zou, Chaoyu Chen, Jian Wang, Haoran Dou, Nishant Ravikumar, Alejandro F. Frangi, Jianqiao Zhou, Dong Ni
Flip Learning: Erase to Segment. CoRR (2021)
Muhammad Asif, Hong Song, Lei Chen, Jian Yang, Alejandro F. Frangi
Intrinsic layer based automatic specular reflection detection in endoscopic images. Comput. Biol. Medicine 128 (2021)
Mohammad Hamghalam, Alejandro F. Frangi, Baiying Lei, Amber L. Simpson
Modality Completion via Gaussian Process Prior Variational Autoencoders for Multi-Modal Glioma Segmentation. CoRR (2021)
Mingyuan Luo, Xin Yang, Xiaoqiong Huang, Yuhao Huang, Yuxin Zou, Xindi Hu, Nishant Ravikumar, Alejandro F. Frangi, Dong Ni
Self Context and Shape Prior for Sensorless Freehand 3D Ultrasound Reconstruction. MICCAI (6) (2021)
Zhendong Liu, Xiaoqiong Huang, Xin Yang, Rui Gao, Rui Li, Yuanji Zhang, Yankai Huang, Guangquan Zhou, Yi Xiong, Alejandro F. Frangi, Dong Ni
Generalize Ultrasound Image Segmentation Via Instant And Plug & Play Style Transfer. ISBI (2021)
Zhendong Liu, Manh The Van, Xin Yang, Xiaoqiong Huang, Karim Lekadir, Víctor M. Campello, Nishant Ravikumar, Alejandro F. Frangi, Dong Ni
Style Curriculum Learning for Robust Medical Image Segmentation. MICCAI (1) (2021)
Baiying Lei, Nina Cheng, Alejandro F. Frangi, Yichen Wei, Bihan Yu, Lingyan Liang, Wei Mai, Gaoxiong Duan, Xiucheng Nong, Chong Li, Jiahui Su, Tianfu Wang, Lihua Zhao, Demao Deng, Zhiguo Zhang
Auto-weighted centralised multi-task learning via integrating functional and structural connectivity for subjective cognitive decline diagnosis. Medical Image Anal. 74 (2021)
Xuegang Song, Feng Zhou, Alejandro F. Frangi, Jiuwen Cao, Xiaohua Xiao, Yi Lei, Tianfu Wang, Baiying Lei
Graph convolution network with similarity awareness and adaptive calibration for disease-induced deterioration prediction. Medical Image Anal. 69 (2021)
Huaifei Hu, Ning Pan, Haihua Liu, Liman Liu, Tailang Yin, Zhigang Tu, Alejandro F. Frangi
Automatic segmentation of left and right ventricles in cardiac MRI using 3D-ASM and deep learning. Signal Process. Image Commun. 96 (2021)
Zhendong Liu, Manh The Van, Xin Yang, Xiaoqiong Huang, Karim Lekadir, Víctor M. Campello, Nishant Ravikumar, Alejandro F. Frangi, Dong Ni
Style Curriculum Learning for Robust Medical Image Segmentation. CoRR (2021)
Xiang Chen, Nishant Ravikumar, Yan Xia, Alejandro F. Frangi
A Deep Discontinuity-Preserving Image Registration Network. CoRR (2021)
Tania Mendonca, Ana A. Jones, Jose M. Pozo, Sarah Baxendale, Tanya T. Whitfield, Alejandro F. Frangi
Origami: Single-cell 3D shape dynamics oriented along the apico-basal axis of folding epithelia from fluorescence microscopy data. PLoS Comput. Biol. 17 (11) (2021)
Muhammad Asif, Lei Chen, Hong Song, Jian Yang, Alejandro F. Frangi
An automatic framework for endoscopic image restoration and enhancement. Appl. Intell. 51 (4) (2021)
Viacheslav V. Danilov, Olga M. Gerget, K. Yu. Klyshnikov, Alejandro F. Frangi, E. A. Ovcharenko
Analysis of Deep Neural Networks for Detection of Coronary Artery Stenosis. Program. Comput. Softw. 47 (3) (2021)
Mohammad Hamghalam, Alejandro F. Frangi, Baiying Lei, Amber L. Simpson
Modality Completion via Gaussian Process Prior Variational Autoencoders for Multi-modal Glioma Segmentation. MICCAI (7) (2021)
Libao Guo, Baiying Lei, Weiling Chen, Jie Du, Alejandro F. Frangi, Jing Qin, Cheng Zhao, Pengpeng Shi, Bei Xia, Tianfu Wang
Dual attention enhancement feature fusion network for segmentation and quantitative analysis of paediatric echocardiography. Medical Image Anal. 71 (2021)
Mingyuan Luo, Xin Yang, Xiaoqiong Huang, Yuhao Huang, Yuxin Zou, Xindi Hu, Nishant Ravikumar, Alejandro F. Frangi, Dong Ni
Self Context and Shape Prior for Sensorless Freehand 3D Ultrasound Reconstruction. CoRR (2021)
Arso M. Vukicevic, Nenad Filipovic, Vera Milic, Alen Zabotti, Alojzija Hocevar, Orazio De Lucia, Georgios Filippou, Alejandro F. Frangi, Athanasios G. Tzioufas, Salvatore de Vita
Radiomics-Based Assessment of Primary Sjögren's Syndrome From Salivary Gland Ultrasonography Images. IEEE J. Biomed. Health Informatics 24 (3) (2020)
Aleks Attanasio, Bruno Scaglioni, Matteo Leonetti, Alejandro F. Frangi, William Cross, Chandra Shekhar Biyani, Pietro Valdastri
Autonomous Tissue Retraction in Robotic Assisted Minimally Invasive Surgery - A Feasibility Study. IEEE Robotics Autom. Lett. 5 (4) (2020)
Baiying Lei, Nina Cheng, Alejandro F. Frangi, Ee-Leng Tan, Jiuwen Cao, Peng Yang, Ahmed Elazab, Jie Du, Yanwu Xu, Tianfu Wang
Self-calibrated brain network estimation and joint non-convex multi-task learning for identification of early Alzheimer's disease. Medical Image Anal. 61 (2020)
Mohsen Farzi, Jose M. Pozo, Eugene V. McCloskey, Richard Eastell, Nicholas Harvey, J. Mark Wilkinson, Alejandro F. Frangi
A Spatio-Temporal Ageing Atlas of the Proximal Femur. IEEE Trans. Medical Imaging 39 (5) (2020)
Lei Mou, Yitian Zhao, Huazhu Fu, Yonghuai Liu, Jun Cheng, Yalin Zheng, Pan Su, Jianlong Yang, Li Chen, Alejandro F. Frangi, Masahiro Akiba, Jiang Liu
CS2-Net: Deep Learning Segmentation of Curvilinear Structures in Medical Imaging. CoRR (2020)
Daiqing Li, Amlan Kar, Nishant Ravikumar, Alejandro F. Frangi, Sanja Fidler
Federated Simulation for Medical Imaging. MICCAI (1) (2020)
Shahabedin Nabavi, Azar Ejmalian, Mohsen Ebrahimi Moghaddam, Ahmad Ali Abin, Alejandro F. Frangi, Mohammad Mohammadi, Hamidreza Saligheh Rad
Medical Imaging and Computational Image Analysis in COVID-19 Diagnosis: A Review. CoRR (2020)

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Alejandro F. Frangi