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ORCIDAlejandro F. Frangi
Alejandro Federico Frangi – Alejandro Frangi
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2020 – today
- 2023
[j152]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: 107355 (2023)- [j151]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: 102678 (2023) - [j150]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: 102810 (2023) - [j149]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: 102814 (2023) - [j148]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): 61-71 (2023) - [j147]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): 274-285 (2023) - [j146]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: 1-11 (2023) - [j145]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): 1958-1966 (2023) - [j144]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): 332-335 (2023) - [j143]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): 354-367 (2023) - [c200]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: 511-522 - [e15]Alejandro F. Frangi, Marleen de Bruijne, Demian Wassermann, Nassir Navab:
Information Processing in Medical Imaging - 28th International Conference, IPMI 2023, San Carlos de Bariloche, Argentina, June 18-23, 2023, Proceedings. Lecture Notes in Computer Science 13939, Springer 2023, ISBN 978-3-031-34047-5 [contents] - [i36]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 abs/2301.02916 (2023) - [i35]Rachael Harkness, Alejandro F. Frangi, Kieran Zucker, Nishant Ravikumar:
Learning disentangled representations for explainable chest X-ray classification using Dirichlet VAEs. CoRR abs/2302.02979 (2023) - [i34]Haoran Dou, Nishant Ravikumar, Alejandro F. Frangi:
A Conditional Flow Variational Autoencoder for Controllable Synthesis of Virtual Populations of Anatomy. CoRR abs/2306.14680 (2023) - [i33]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 abs/2306.14687 (2023) - [i32]Fengming Lin, Yan Xia, Nishant Ravikumar, Qiongyao Liu, Michael MacRaild, Alejandro F. Frangi:
Adaptive Semi-Supervised Segmentation of Brain Vessels with Ambiguous Labels. CoRR abs/2308.03613 (2023) - [i31]Yash Deo, Haoran Dou, Nishant Ravikumar, Alejandro F. Frangi, Toni Lassila:
Shape-guided Conditional Latent Diffusion Models for Synthesising Brain Vasculature. CoRR abs/2308.06781 (2023) - [i30]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 abs/2308.12861 (2023) - 2022
- [j142]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: 105071 (2022) - [j141]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: 106136 (2022) - [j140]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: 102276 (2022) - [j139]Yan Xia, Nishant Ravikumar, Alejandro F. Frangi:
Learning to complete incomplete hearts for population analysis of cardiac MR images. Medical Image Anal. 77: 102354 (2022) - [j138]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: 102498 (2022) - [j137]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: 102592 (2022) - [j136]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: 102648 (2022) - [j135]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): 55-61 (2022) - [j134]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) - [j133]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): 4-6 (2022) - [j132]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): 3357-3371 (2022) - [c199]Zihan Wei, Yizhou Chen, Qiu Guan, Haigen Hu, Qianwei Zhou, Zhicheng Li, Xinli Xu, Alejandro Frangi, Feng Chen:
Pancreatic Image Augmentation Based on Local Region Texture Synthesis for Tumor Segmentation. ICANN (2) 2022: 419-431 - [c198]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: 258-267 - [c197]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: 300-309 - [c196]Nina Cheng, Rodrigo Bonazzola, Nishant Ravikumar, Alejandro F. Frangi:
A Generative Framework for Predicting Myocardial Strain from Cine-Cardiac Magnetic Resonance Imaging. MIUA 2022: 482-493 - [c195]Cynthia Maldonado García, Rodrigo Bonazzola, Nishant Ravikumar, Alejandro F. Frangi:
Predicting Myocardial Infarction Using Retinal OCT Imaging. MIUA 2022: 787-797 - [e14]Siva Teja Kakileti, Maria Gabrani, Geetha Manjunath, Michal Rosen-Zvi, Nathaniel Braman, Robert G. Schwartz, Alejandro F. Frangi, Pau-Choo Chung, Christopher Weight, Vekataraman Jagadish:
Artificial Intelligence over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery - First MICCAI Workshop, AIIIMA 2022, and First MICCAI Workshop, MIABID 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18 and 22, 2022, Proceedings. Lecture Notes in Computer Science 13602, Springer 2022, ISBN 978-3-031-19659-1 [contents] - [i29]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 abs/2206.15254 (2022) - [i28]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 abs/2207.00475 (2022) - [i27]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 abs/2208.10623 (2022) - [i26]Haoran Dou, Seppo Virtanen, Nishant Ravikumar, Alejandro F. Frangi:
A Generative Shape Compositional Framework: Towards Representative Populations of Virtual Heart Chimaeras. CoRR abs/2210.01607 (2022) - [i25]Xiang Chen, Yan Xia, Nishant Ravikumar, Alejandro F. Frangi:
Joint segmentation and discontinuity-preserving deformable registration: Application to cardiac cine-MR images. CoRR abs/2211.13828 (2022) - 2021
- [j131]Muhammad Asif, Lei Chen, Hong Song, Jian Yang, Alejandro F. Frangi:
An automatic framework for endoscopic image restoration and enhancement. Appl. Intell. 51(4): 1959-1971 (2021) - [j130]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: 104106 (2021) - [j129]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: 104605 (2021) - [j128]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: 101812 (2021) - [j127]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: 101874 (2021) - [j126]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: 101947 (2021) - [j125]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: 102037 (2021) - [j124]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: 102042 (2021) - [j123]Xin Yang, Haoming Li, Yi Wang, Xiaowen Liang, Chaoyu Chen, Xu Zhou, Fengyi Zeng, Jinghui Fang, Alejandro Frangi, Zhiyi Chen, Dong Ni:
Contrastive rendering with semi-supervised learning for ovary and follicle segmentation from 3D ultrasound. Medical Image Anal. 73: 102134 (2021) - [j122]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: 102228 (2021) - [j121]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: 102248 (2021) - [j120]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): 153-160 (2021) - [j119]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) - [j118]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: 116303 (2021) - [c194]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: 419-423 - [c193]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: 679-683 - [c192]Xiang Chen, Yan Xia, Nishant Ravikumar, Alejandro F. Frangi:
A Deep Discontinuity-Preserving Image Registration Network. MICCAI (4) 2021: 46-55 - [c191]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:
Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound. MLMI@MICCAI 2021: 190-198 - [c190]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: 201-210 - [c189]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: 442-452 - [c188]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: 451-460 - [c187]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: 493-502 - [c186]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: 699-708 - [i24]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 abs/2101.03711 (2021) - [i23]Xiang Chen, Yan Xia, Nishant Ravikumar, Alejandro F. Frangi:
CAR-Net: Unsupervised Co-Attention Guided Registration Network for Joint Registration and Structure Learning. CoRR abs/2106.06637 (2021) - [i22]Mohammad Hamghalam, Alejandro F. Frangi, Baiying Lei, Amber L. Simpson:
Modality Completion via Gaussian Process Prior Variational Autoencoders for Multi-Modal Glioma Segmentation. CoRR abs/2107.03442 (2021) - [i21]Xiang Chen, Nishant Ravikumar, Yan Xia, Alejandro F. Frangi:
A Deep Discontinuity-Preserving Image Registration Network. CoRR abs/2107.04440 (2021) - [i20]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 abs/2108.00274 (2021) - [i19]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 abs/2108.00402 (2021) - [i18]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 abs/2108.00752 (2021) - [i17]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 abs/2108.02998 (2021) - [i16]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:
Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound. CoRR abs/2108.05055 (2021) - [i15]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 abs/2109.08020 (2021) - [i14]Javier Ortega-Garcia, Julian Fiérrez, Fernando Alonso-Fernandez, Javier Galbally, Manuel R. Freire, Joaquin Gonzalez-Rodriguez, Carmen García-Mateo, José Luis Alba-Castro, Elisardo González-Agulla, Enrique Otero Muras, Sonia Garcia-Salicetti, Lorène Allano, Bao Ly-Van, Bernadette Dorizzi, Josef Kittler, Thirimachos Bourlai, Norman Poh, Farzin Deravi, Ming W. R. Ng, Michael C. Fairhurst, Jean Hennebert, Andreas Humm, Massimo Tistarelli, Linda Brodo, Jonas Richiardi, Andrzej Drygajlo, Harald Ganster, Federico M. Sukno, Sri-Kaushik Pavani, Alejandro Frangi, Lale Akarun, Arman Savran:
The Multiscenario Multienvironment BioSecure Multimodal Database (BMDB). CoRR abs/2111.08702 (2021) - 2020
- [j117]Yujin Hu, Bei Xia, Muyi Mao, Zelong Jin, Jie Du, Libao Guo, Alejandro F. Frangi, Baiying Lei, Tianfu Wang:
AIDAN: An Attention-Guided Dual-Path Network for Pediatric Echocardiography Segmentation. IEEE Access 8: 29176-29187 (2020) - [j116]Chenglong Wang, Masahiro Oda, Yuichiro Hayashi, Yasushi Yoshino, Tokunori Yamamoto, Alejandro F. Frangi, Kensaku Mori:
Tensor-cut: A tensor-based graph-cut blood vessel segmentation method and its application to renal artery segmentation. Medical Image Anal. 60 (2020) - [j115]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: 101652 (2020) - [j114]Tianyu Fu, Jian Yang, Qin Li, Danni Ai, Hong Song, Yurong Jiang, Yongtian Wang, Alejandro F. Frangi:
Groupwise registration with global-local graph shrinkage in atlas construction. Medical Image Anal. 64: 101711 (2020) - [j113]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:
Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detection. npj Digit. Medicine 3 (2020) - [j112]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): 6528-6535 (2020) - [j111]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): 835-843 (2020) - [j110]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): 1359-1368 (2020) - [c185]Nina Cheng, Alejandro Frangi, Zhiguo Zhang, Denao Deng, Lihua Zhao, Tianfu Wang, Yichen Wei, Bihan Yu, Wei Mai, Gaoxiong Duan, Xiucheng Nong, Chong Li, Jiahui Su, Baiying Lei:
Self-weighted Multi-task Learning for Subjective Cognitive Decline Diagnosis. MICCAI (7) 2020: 104-113 - [c184]Xuegang Song, Alejandro F. Frangi, Xiaohua Xiao, Jiuwen Cao, Tianfu Wang, Baiying Lei:
Integrating Similarity Awareness and Adaptive Calibration in Graph Convolution Network to Predict Disease. MICCAI (7) 2020: 124-133 - [c183]Daiqing Li, Amlan Kar, Nishant Ravikumar, Alejandro F. Frangi, Sanja Fidler:
Federated Simulation for Medical Imaging. MICCAI (1) 2020: 159-168 - [c182]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:
Searching Collaborative Agents for Multi-plane Localization in 3D Ultrasound. MICCAI (3) 2020: 553-562 - [c181]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:
Contrastive Rendering for Ultrasound Image Segmentation. MICCAI (3) 2020: 563-572 - [i13]Francisco Javier Ibarrola, Nishant Ravikumar, Alejandro F. Frangi:
Partially Conditioned Generative Adversarial Networks. CoRR abs/2007.02845 (2020) - [i12]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:
Searching Collaborative Agents for Multi-plane Localization in 3D Ultrasound. CoRR abs/2007.15273 (2020) - [i11]Daiqing Li, Amlan Kar, Nishant Ravikumar, Alejandro F. Frangi, Sanja Fidler:
Fed-Sim: Federated Simulation for Medical Imaging. CoRR abs/2009.00668 (2020) - [i10]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 abs/2010.02154 (2020) - [i9]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:
Contrastive Rendering for Ultrasound Image Segmentation. CoRR abs/2010.04928 (2020) - [i8]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 abs/2010.07486 (2020)
2010 – 2019
- 2019
- [j109]Gabor Fichtinger, Julia A. Schnabel, Christos Davatzikos, Alejandro F. Frangi, Carlos Alberola-López:
IJCARS-MICCAI 2018 special issue. Int. J. Comput. Assist. Radiol. Surg. 14(9): 1461 (2019) - [j108]Nishant Ravikumar, Ali Gooya, Leandro Beltrachini, Alejandro F. Frangi, Zeike A. Taylor:
Generalised coherent point drift for group-wise multi-dimensional analysis of diffusion brain MRI data. Medical Image Anal. 53: 47-63 (2019) - [j107]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:
Quantitative CMR population imaging on 20, 000 subjects of the UK Biobank imaging study: LV/RV quantification pipeline and its evaluation. Medical Image Anal. 56: 26-42 (2019) - [j106]