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ORCIDAlejandro F. Frangi
Alejandro Federico Frangi – Alejandro Frangi
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2020 – today
- 2022
[j134]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)- [j133]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) - [j132]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) - [j131]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) - 2021
- [j130]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) - [j129]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) - [j128]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) - [j127]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) - [j126]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) - [j125]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) - [j124]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) - [j123]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) - [j122]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) - [j121]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) - [j120]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) - [j119]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) - [j118]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) - [j117]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
- [j116]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) - [j115]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) - [j114]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) - [j113]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) - [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]Julia A. Schnabel, Christos Davatzikos, Gabor Fichtinger, Alejandro F. Frangi, Carlos Alberola-López:
Special issue on MICCAI 2018. Medical Image Anal. 58 (2019) - [j105]Le Zhang, Ali Gooya, Marco Pereañez, Bo Dong, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi:
Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging With Fisher-Discriminative 3-D CNN. IEEE Trans. Biomed. Eng. 66(7): 1975-1986 (2019) - [j104]Hamid Fehri, Ali Gooya, Yuanjun Lu, Erik Meijering, Simon A. Johnston, Alejandro F. Frangi:
Bayesian Polytrees With Learned Deep Features for Multi-Class Cell Segmentation. IEEE Trans. Image Process. 28(7): 3246-3260 (2019) - [j103]Shuang Song, Alejandro F. Frangi, Jian Yang, Danni Ai, Chenbing Du, Yong Huang, Hong Song, Luosha Zhang, Yechen Han, Yongtian Wang:
Patch-Based Adaptive Background Subtraction for Vascular Enhancement in X-Ray Cineangiograms. IEEE J. Biomed. Health Informatics 23(6): 2563-2575 (2019) - [j102]Andres Diaz-Pinto, Adrián Colomer, Valery Naranjo, Sandra Morales, Yanwu Xu, Alejandro F. Frangi:
Retinal Image Synthesis and Semi-Supervised Learning for Glaucoma Assessment. IEEE Trans. Medical Imaging 38(9): 2211-2218 (2019) - [c180]Mingsong Zhou, Xingce Wang, Zhongke Wu, Jose M. Pozo, Alejandro F. Frangi:
Aneurysm Identification in Cerebral Models with Multiview Convolutional Neural Network. BrainLes@MICCAI (1) 2019: 23-31 - [c179]Matthias Lange, Toni Lassila, Alejandro F. Frangi:
Predicting Plausible Human Purkinje Network Morphology from Simulations. CinC 2019: 1-4 - [c178]Mingsong Zhou, Xingce Wang, Zhongke Wu, Jose M. Pozo, Alejandro F. Frangi:
Intracranial Aneurysm Detection from 3D Vascular Mesh Models with Ensemble Deep Learning. MICCAI (4) 2019: 243-252 - [c177]Chenglong Wang, Yuichiro Hayashi, Masahiro Oda, Hayato Itoh, Takayuki Kitasaka, Alejandro F. Frangi, Kensaku Mori:
Tubular Structure Segmentation Using Spatial Fully Connected Network with Radial Distance Loss for 3D Medical Images. MICCAI (6) 2019: 348-356 - [c176]Rahman Attar, Marco Pereañez, Christopher Bowles, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi:
3D Cardiac Shape Prediction with Deep Neural Networks: Simultaneous Use of Images and Patient Metadata. MICCAI (2) 2019: 586-594 - [c175]Santiago Coelho, Jose M. Pozo, Sune Nørhøj Jespersen, Alejandro F. Frangi:
Optimal Experimental Design for Biophysical Modelling in Multidimensional Diffusion MRI. MICCAI (3) 2019: 617-625 - [c174]Le Zhang, Marco Pereañez, Christopher Bowles, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi:
Missing Slice Imputation in Population CMR Imaging via Conditional Generative Adversarial Nets. MICCAI (2) 2019: 651-659 - [c173]Le Zhang, Marco Pereañez, Christopher Bowles, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi:
Unsupervised Standard Plane Synthesis in Population Cine MRI via Cycle-Consistent Adversarial Networks. MICCAI (2) 2019: 660-668 - [c172]Lei Mou, Yitian Zhao, Li Chen, Jun Cheng, Zaiwang Gu, Huaying Hao, Hong Qi, Yalin Zheng, Alejandro F. Frangi, Jiang Liu:
CS-Net: Channel and Spatial Attention Network for Curvilinear Structure Segmentation. MICCAI (1) 2019: 721-730 - [p3]Le Zhang, Marco Pereañez, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi:
Image Quality Assessment for Population Cardiac Magnetic Resonance Imaging. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 299-321 - [p2]Yawen Huang, Ling Shao, Alejandro F. Frangi:
Simultaneous Super-Resolution and Cross-Modality Synthesis in Magnetic Resonance Imaging. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 437-457 - [i7]Rahman Attar, Marco Pereañez, Ali Gooya, Xènia Albà, Le Zhang, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi:
High Throughput Computation of Reference Ranges of Biventricular Cardiac Function on the UK Biobank Population Cohort. CoRR abs/1901.03326 (2019) - [i6]Rahman Attar, Marco Pereañez, Christopher Bowles, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi:
3D Cardiac Shape Prediction with Deep Neural Networks: Simultaneous Use of Images and Patient Metadata. CoRR abs/1907.01913 (2019) - 2018
- [j101]Xènia Albà, Karim Lekadir, Marco Pereañez, Pau Medrano-Gracia, Alistair A. Young, Alejandro F. Frangi:
Automatic initialization and quality control of large-scale cardiac MRI segmentations. Medical Image Anal. 43: 129-141 (2018) - [j100]Nishant Ravikumar, Ali Gooya, Serkan Çimen, Alejandro F. Frangi, Zeike A. Taylor:
Group-wise similarity registration of point sets using Student's t-mixture model for statistical shape models. Medical Image Anal. 44: 156-176 (2018) - [j99]Santiago Coelho, Jose M. Pozo, Marina Costantini, J. Robin Highley, Meghdoot Mozumder, Julie E. Simpson, Paul G. Ince, Alejandro F. Frangi:
Local volume fraction distributions of axons, astrocytes, and myelin in deep subcortical white matter. NeuroImage 179: 275-287 (2018) - [j98]Ali Gooya, Karim Lekadir, Isaac Castro-Mateos, José María Pozo, Alejandro F. Frangi:
Mixture of Probabilistic Principal Component Analyzers for Shapes from Point Sets. IEEE Trans. Pattern Anal. Mach. Intell. 40(4): 891-904 (2018) - [j97]Toni Lassila, Luigi Yuri Di Marco, Micaela Mitolo, Vincenzo Iaia, Giorgio Levedianos, Annalena Venneri, Alejandro F. Frangi:
Screening for Cognitive Impairment by Model-Assisted Cerebral Blood Flow Estimation. IEEE Trans. Biomed. Eng. 65(7): 1654-1661 (2018) - [j96]Avan Suinesiaputra, Pierre Ablin, Xènia Albà, Martino Alessandrini, Jack Allen, Wenjia Bai, Serkan Çimen, Peter Claes, Brett R. Cowan, Jan D'hooge, Nicolas Duchateau, Jan Ehrhardt, Alejandro F. Frangi, Ali Gooya, Vicente Grau, Karim Lekadir, Allen Lu, Anirban Mukhopadhyay, Ilkay Öksüz, Nripesh Parajuli, Xavier Pennec, Marco Pereañez, Catarina Pinto, Paolo Piras, Marc-Michel Rohé, Daniel Rueckert, Dennis Säring, Maxime Sermesant, Kaleem Siddiqi, Mahdi Tabassian, Luciano Teresi, Sotirios A. Tsaftaris, Matthias Wilms, Alistair A. Young, Xingyu Zhang, Pau Medrano-Gracia:
Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge. IEEE J. Biomed. Health Informatics 22(2): 503-515 (2018) - [j95]Alejandro F. Frangi, Sotirios A. Tsaftaris, Jerry L. Prince:
Simulation and Synthesis in Medical Imaging. IEEE Trans. Medical Imaging 37(3): 673-679 (2018) - [j94]Yawen Huang, Ling Shao, Alejandro F. Frangi:
Cross-Modality Image Synthesis via Weakly Coupled and Geometry Co-Regularized Joint Dictionary Learning. IEEE Trans. Medical Imaging 37(3): 815-827 (2018) - [c171]Milton Hoz de Vila, Rahman Attar, Marco Pereañez, Alejandro F. Frangi:
MULTI-X, a State-of-the-Art Cloud-Based Ecosystem for Biomedical Research. BIBM 2018: 1726-1733 - [c170]Alejandro F. Frangi:
Precision Imaging - From Population Imaging Analytics to In-silico Clinical Trials. Bildverarbeitung für die Medizin 2018: 4 - [c169]Andres Diaz-Pinto, Adrián Colomer, Valery Naranjo, Sandra Morales, Yanwu Xu, Alejandro F. Frangi:
Retinal Image Synthesis for Glaucoma Assessment Using DCGAN and VAE Models. IDEAL (1) 2018: 224-232 - [c168]Xiangyuan Liu, Quansheng Liu, Zhongke Wu, Xingce Wang, Jose Pozo Sole, Alejandro F. Frangi:
Mixed-Model Noise Removal in 3D MRI via Rotation-and-Scale Invariant Non-Local Means. SaMBa@MICCAI 2018: 33-41 - [c167]Chunliang Wang, Bryan Connolly, Pedro Filipe de Oliveira Lopes, Alejandro F. Frangi, Örjan Smedby:
Pelvis Segmentation Using Multi-pass U-Net and Iterative Shape Estimation. MSKI@MICCAI 2018: 49-57 - [c166]Rahman Attar, Marco Pereañez, Ali Gooya, Xènia Albà, Le Zhang, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi:
High Throughput Computation of Reference Ranges of Biventricular Cardiac Function on the UK Biobank Population Cohort. STACOM@MICCAI 2018: 114-121 - [c165]Toni Lassila, Helena M. Faria, Ali Sarrami-Foroushani, Francesca Meneghello, Annalena Venneri, Alejandro F. Frangi:
Multi-modal Synthesis of ASL-MRI Features with KPLS Regression on Heterogeneous Data. MICCAI (3) 2018: 473-481 - [c164]Le Zhang, Marco Pereañez, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi:
Multi-Input and Dataset-Invariant Adversarial Learning (MDAL) for Left and Right-Ventricular Coverage Estimation in Cardiac MRI. MICCAI (2) 2018: 481-489 - [c163]Mohsen Farzi, Jose M. Pozo, Eugene V. McCloskey, Richard Eastell, J. Mark Wilkinson, Alejandro F. Frangi:
Spatio-Temporal Atlas of Bone Mineral Density Ageing. MICCAI (1) 2018: 720-728 - [e13]Ben Glocker, Jianhua Yao, Tomaz Vrtovec, Alejandro F. Frangi, Guoyan Zheng:
Computational Methods and Clinical Applications in Musculoskeletal Imaging - 5th International Workshop, MSKI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Revised Selected Papers. Lecture Notes in Computer Science 10734, Springer 2018, ISBN 978-3-319-74112-3 [contents] - [e12]Alejandro F. Frangi, Julia A. Schnabel, Christos Davatzikos, Carlos Alberola-López, Gabor Fichtinger:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I. Lecture Notes in Computer Science 11070, Springer 2018, ISBN 978-3-030-00927-4 [contents] - [e11]Alejandro F. Frangi, Julia A. Schnabel, Christos Davatzikos, Carlos Alberola-López, Gabor Fichtinger:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part II. Lecture Notes in Computer Science 11071, Springer 2018, ISBN 978-3-030-00933-5 [contents] - [e10]Alejandro F. Frangi, Julia A. Schnabel, Christos Davatzikos, Carlos Alberola-López, Gabor Fichtinger:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part III. Lecture Notes in Computer Science 11072, Springer 2018, ISBN 978-3-030-00930-4 [contents] - [e9]Alejandro F. Frangi, Julia A. Schnabel, Christos Davatzikos, Carlos Alberola-López, Gabor Fichtinger:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part IV. Lecture Notes in Computer Science 11073, Springer 2018, ISBN 978-3-030-00936-6 [contents] - [i5]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 H. Maier-Hein, Bjoern H. Menze, Henning Müller, Peter F. Neher, Wiro J. Niessen, Nasir M. 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:
Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions. CoRR abs/1806.02051 (2018) - [i4]Le Zhang, Ali Gooya, Marco Pereañez, Bo Dong, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi:
Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging with Fisher-Discriminative 3D CNN. CoRR abs/1811.02688 (2018) - 2017
- [j93]Marek Kasztelnik, Ernesto Coto, Marian Bubak, Maciej Malawski, Piotr Nowakowski, Juan Arenas, Alfredo Saglimbeni, Debora Testi, Alejandro F. Frangi:
Support for Taverna workflows in the VPH-Share cloud platform. Comput. Methods Programs Biomed. 146: 37-46 (2017) - [j92]