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Alejandro F. Frangi
Alejandro Federico Frangi – Alejandro Frangi
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2020 – today
- 2025
- [j166]Afsana Ahmed Munia, Moloud Abdar
, Mehedi Hasan, Mohammad S. Jalali, Biplab Banerjee, Abbas Khosravi, Ibrahim Hossain, Huazhu Fu, Alejandro F. Frangi
:
Attention-guided hierarchical fusion U-Net for uncertainty-driven medical image segmentation. Inf. Fusion 115: 102719 (2025) - [j165]Mojtaba Lashgari
, Zheyi Yang, Miguel O. Bernabeu
, Jing-Rebecca Li
, Alejandro F. Frangi
:
SpinDoctor-IVIM: A virtual imaging framework for intravoxel incoherent motion MRI. Medical Image Anal. 99: 103369 (2025) - 2024
- [j164]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: 106560 (2024) - [j163]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): 291-306 (2024) - [j162]Jinkui Hao, William Robert 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
:
Early detection of dementia through retinal imaging and trustworthy AI. npj Digit. Medicine 7(1) (2024) - [j161]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: 110495 (2024) - [j160]Le Zhang
, Kevin Bronik
, Stefan K. Piechnik
, Joao A. C. Lima
, Stefan Neubauer
, Steffen E. Petersen
, Alejandro F. Frangi
:
Automatic Plane Pose Estimation for Cardiac Left Ventricle Coverage Estimation via Deep Adversarial Regression Network. IEEE Trans. Artif. Intell. 5(9): 4738-4752 (2024) - [j159]Sheng Zhang
, Yingying Fang, Yang Nan
, Shiyi Wang, Weiping Ding
, Yew-Soon Ong
, Alejandro F. Frangi, Witold Pedrycz
, Simon Walsh, Guang Yang
:
Fuzzy Attention-Based Border Rendering Orthogonal Network for Lung Organ Segmentation. IEEE Trans. Fuzzy Syst. 32(10): 5462-5476 (2024) - [j158]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): 333-342 (2024) - [j157]Lei Mou, Jinghui Lin, Yifan Zhao, Yonghuai Liu
, Shaodong Ma, Jiong Zhang, Wenhao Lv, Tao Zhou, Jiang Liu, Alejandro F. Frangi
, Yitian Zhao:
COSTA: A Multi-Center TOF-MRA Dataset and a Style Self-Consistency Network for Cerebrovascular Segmentation. IEEE Trans. Medical Imaging 43(12): 4442-4456 (2024) - [c217]Zhenhong Liu, Xudong Ru, Xingce Wang, Zhongke Wu, Yi-Cheng Zhu, Chong Zhang, Alejandro F. Frangi:
3D Skull Completion via Two-stage Conditional Diffusion-Based Signed Distance Fields. BIBM 2024: 2204-2209 - [c216]Nina Cheng, Zhengji Liu, Yash Deo, Haoran Dou, Ning Bi, Kun Wu, Fengming Lin, Zeike A. Taylor, Nishant Ravikumar, Alejandro F. Frangi
:
Synthesising 3D Cardiac CINE-MR Images and Corresponding Segmentation Masks using a Latent Diffusion Model. ISBI 2024: 1-5 - [c215]Yash Deo, Fengming Lin, Haoran Dou, Nina Cheng, Nishant Ravikumar, Alejandro F. Frangi
, Toni Lassila:
Few-Shot Learning in Diffusion Models for Generating Cerebral Aneurysm Geometries. ISBI 2024: 1-5 - [c214]Fengming Lin, Yan Xia, Yash Deo, Michael MacRaild, Haoran Dou, Qiongyao Liu, Kun Wu, Nishant Ravikumar, Alejandro F. Frangi:
Unsupervised Domain Adaptation for Brain Vessel Segmentation Through Transwarp Contrastive Learning. ISBI 2024: 1-5 - [c213]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. ISBI 2024: 1-5 - [c212]Aditya Shankar Pal, Debojyoti Biswas, Joy Mahapatra, Debasis Banerjee, Prantar Chakrabarti, Alejandro F. Frangi
, Utpal Garain:
Pathologist-Like Explanations Unveiled: An Explainable Deep Learning System for White Blood Cell Classification. ISBI 2024: 1-5 - [c211]Cynthia Maldonado García
, Arezoo Zakeri
, Alejandro F. Frangi
, Nishant Ravikumar
:
Integrating Deep Learning with Fundus and Optical Coherence Tomography for Cardiovascular Disease Prediction. PRIME@MICCAI 2024: 161-172 - [c210]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: 248-256 - [e18]Ruidan Su, Yu-Dong Zhang
, Alejandro F. Frangi:
Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis, MICAD 2023, Cambridge, UK, December 9-10, 2023. Lecture Notes in Electrical Engineering 1166, Springer 2024, ISBN 978-981-97-1334-9 [contents] - [i46]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 abs/2402.15237 (2024) - [i45]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 abs/2402.15239 (2024) - [i44]Soodeh Kalaie, Andy Bulpitt, Alejandro F. Frangi, Ali Gooya:
An End-to-End Deep Learning Generative Framework for Refinable Shape Matching and Generation. CoRR abs/2403.06317 (2024) - [i43]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 abs/2403.18873 (2024) - [i42]Cynthia Maldonado García, Arezoo Zakeri, Alejandro F. Frangi, Nishant Ravikumar:
Integrating Deep Learning with Fundus and Optical Coherence Tomography for Cardiovascular Disease Prediction. CoRR abs/2410.14423 (2024) - [i41]Jinqiu Deng, Ke Chen, Mingke Li, Daoping Zhang, Chong Chen, Alejandro F. Frangi, Jianping Zhang:
A Symmetric Dynamic Learning Framework for Diffeomorphic Medical Image Registration. CoRR abs/2411.02888 (2024) - 2023
- [j156]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) - [j155]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: 107679 (2023) - [j154]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: 107770 (2023) - [j153]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) - [j152]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) - [j151]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) - [j150]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) - [j149]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) - [j148]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) - [j147]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) - [j146]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) - [j145]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) - [j144]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) - [c209]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: 1313-1318 - [c208]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 - [c207]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. Computer-Aided Diagnosis 2023 - [c206]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: 32-41 - [c205]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: 106-116 - [c204]Haoran Dou, Nishant Ravikumar, Alejandro F. Frangi
:
A Conditional Flow Variational Autoencoder for Controllable Synthesis of Virtual Populations of Anatomy. MICCAI (7) 2023: 143-152 - [c203]Yash Deo, Haoran Dou, Nishant Ravikumar, Alejandro F. Frangi, Toni Lassila:
Shape-Guided Conditional Latent Diffusion Models for Synthesising Brain Vasculature. DGM4MICCAI 2023: 164-173 - [c202]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: 613-622 - [c201]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: 426-443 - [c200]Rachael Harkness, Alejandro F. Frangi
, Kieran Zucker
, Nishant Ravikumar:
Learning disentangled representations for explainable chest x-ray classification using Dirichlet VAEs. Image Processing 2023 - [e17]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] - [e16]Ruidan Su, Yudong Zhang
, Han Liu, Alejandro F. Frangi
:
Proceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis, MICAD 2022, Leicester, UK, November 20-21, 2022. Lecture Notes in Electrical Engineering 810, Springer 2023, ISBN 978-981-16-6774-9 [contents] - [e15]Siva Teja Kakileti
, Geetha Manjunath
, Robert G. Schwartz, Alejandro F. Frangi
:
Artificial Intelligence Over Infrared Images for Medical Applications (AIIIMA 2023) - Second International Workshop Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 2, 2023, Proceedings. Lecture Notes in Computer Science 14298, Springer 2023, ISBN 978-3-031-45657-2 [contents] - [i40]Rodrigo Bonazzola, Enzo Ferrante, Nishant Ravikumar, Yan Xia, Bernard D. 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) - [i39]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) - [i38]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) - [i37]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) - [i36]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) - [i35]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) - [i34]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) - [i33]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 abs/2309.12325 (2023) - [i32]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 abs/2311.11090 (2023) - [i31]Nurbanu Aksoy, Nishant Ravikumar, Alejandro F. Frangi:
Radiology Report Generation Using Transformers Conditioned with Non-imaging Data. CoRR abs/2311.11097 (2023) - [i30]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 abs/2311.13706 (2023) - 2022
- [j143]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) - [j142]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) - [j141]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) - [j140]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) - [j139]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) - [j138]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) - [j137]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) - [j136]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) - [j135]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) - [j134]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) - [j133]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
- [j132]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) - [j131]Muhammad Asif
, Hong Song, Lei Chen
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Intrinsic layer based automatic specular reflection detection in endoscopic images. Comput. Biol. Medicine 128: 104106 (2021) - [j130]Shahabedin Nabavi
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Medical imaging and computational image analysis in COVID-19 diagnosis: A review. Comput. Biol. Medicine 135: 104605 (2021) - [j129]Yan Xia, Le Zhang
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Recovering from missing data in population imaging - Cardiac MR image imputation via conditional generative adversarial nets. Medical Image Anal. 67: 101812 (2021) - [j128]Lei Mou, Yitian Zhao, Huazhu Fu
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CS2-Net: Deep learning segmentation of curvilinear structures in medical imaging. Medical Image Anal. 67: 101874 (2021) - [j127]Xuegang Song, Feng Zhou, Alejandro F. Frangi
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Graph convolution network with similarity awareness and adaptive calibration for disease-induced deterioration prediction. Medical Image Anal. 69: 101947 (2021) - [j126]Yan Xia
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Super-Resolution of Cardiac MR Cine Imaging using Conditional GANs and Unsupervised Transfer Learning. Medical Image Anal. 71: 102037 (2021) - [j125]Libao Guo, Baiying Lei
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Dual attention enhancement feature fusion network for segmentation and quantitative analysis of paediatric echocardiography. Medical Image Anal. 71: 102042 (2021) - [j124]Xin Yang, Haoming Li, Yi Wang, Xiaowen Liang, Chaoyu Chen, Xu Zhou, Fengyi Zeng, Jinghui Fang, Alejandro Frangi
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Contrastive rendering with semi-supervised learning for ovary and follicle segmentation from 3D ultrasound. Medical Image Anal. 73: 102134 (2021) - [j123]Xiang Chen
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Shape registration with learned deformations for 3D shape reconstruction from sparse and incomplete point clouds. Medical Image Anal. 74: 102228 (2021) - [j122]Baiying Lei, Nina Cheng, Alejandro F. Frangi
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Auto-weighted centralised multi-task learning via integrating functional and structural connectivity for subjective cognitive decline diagnosis. Medical Image Anal. 74: 102248 (2021) - [j121]Viacheslav V. Danilov
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Analysis of Deep Neural Networks for Detection of Coronary Artery Stenosis. Program. Comput. Softw. 47(3): 153-160 (2021) - [j120]Tania Mendonca
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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) - [j119]Huaifei Hu
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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
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Generalize Ultrasound Image Segmentation Via Instant And Plug & Play Style Transfer. ISBI 2021: 419-423 - [c193]