Lyu J, Qin C, Wang S, Wang F, Li Y, Wang Z, Guo K, Ouyang C, Tänzer M, Liu M, Sun L, Sun M, Li Q, Shi Z, Hua S, Li H, Chen Z, Zhang Z, Xin B, Metaxas DN, Yiasemis G, Teuwen J, Zhang L, Chen W, Zhao Y, Tao Q, Pang Y, Liu X, Razumov A, Dylov DV, Dou Q, Yan K, Xue Y, Du Y, Dietlmeier J, Garcia-Cabrera C, Al-Haj Hemidi Z, Vogt N, Xu Z, Zhang Y, Chu YH, Chen W, Bai W, Zhuang X, Qin J, Wu L, Yang G, Qu X, Wang H, Wang C
The state-of-the-art in cardiac MRI reconstruction: Results of the CMRxRecon challenge in MICCAI 2023. Med Image Anal. 2025 Apr; 101:103485.
The state-of-the-art in cardiac MRI reconstruction: Results of the CMRxRecon challenge in MICCAI 2023.
Wang X, Wang D, Li X, Rittscher J, Metaxas D, Zhang S
Editorial for Special Issue on Foundation Models for Medical Image Analysis. Med Image Anal. 2025 Feb; 100:103389.
Editorial for Special Issue on Foundation Models for Medical Image Analysis.
Guo L, Xue W, Liu B, Zhang K, Yuan T, Metaxas D
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Gloss Prior Guided Visual Feature Learning for Continuous Sign Language Recognition. IEEE Trans Image Process. 2024; 33:3486-3495.
Gloss Prior Guided Visual Feature Learning for Continuous Sign Language Recognition.
Zhu W, Jin Y, Ma G, Chen G, Egger J, Zhang S, Metaxas DN
Classification of lung cancer subtypes on CT images with synthetic pathological priors. Med Image Anal. 2024 Jul; 95:103199.
Classification of lung cancer subtypes on CT images with synthetic pathological priors.
Ma G, Jin Y, Pan J, Zhang S, Metaxas DN, Zhu W
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Automatic Lung Cancer Subtypes Classification on CT Images with Self-generated Multi-modality Hybrid Features. Annu Int Conf IEEE Eng Med Biol Soc. 2023 Jul; 2023:1-6.
Automatic Lung Cancer Subtypes Classification on CT Images with Self-generated Multi-modality Hybrid Features.
Ni Y, Chen G, Feng Z, Cui H, Metaxas D, Zhang S, Zhu W
Domain-Adversarial Transformer Network for Multiphase Liver Tumor Segmentation. Annu Int Conf IEEE Eng Med Biol Soc. 2023 07; 2023:1-4.
Domain-Adversarial Transformer Network for Multiphase Liver Tumor Segmentation.
A Critical Analysis of the Limitation of Deep Learning based 3D Dental Mesh Segmentation Methods in Segmenting Partial Scans. Annu Int Conf IEEE Eng Med Biol Soc. 2023 Jul; 2023:1-7.
A Critical Analysis of the Limitation of Deep Learning based 3D Dental Mesh Segmentation Methods in Segmenting Partial Scans.
Chang Q, Yan Z, Zhou M, Qu H, He X, Zhang H, Baskaran L, Al'Aref S, Li H, Zhang S, Metaxas DN
Publisher Correction: Mining multi-center heterogeneous medical data with distributed synthetic learning. Nat Commun. 2023 Oct 24; 14(1):6765.
Publisher Correction: Mining multi-center heterogeneous medical data with distributed synthetic learning.
Wang W, Xia Q, Yan Z, Hu Z, Chen Y, Zheng W, Wang X, Nie S, Metaxas D, Zhang S
AVDNet: Joint coronary artery and vein segmentation with topological consistency. Med Image Anal. 2024 Jan; 91:102999.
AVDNet: Joint coronary artery and vein segmentation with topological consistency.
On the challenges and perspectives of foundation models for medical image analysis. Med Image Anal. 2024 Jan; 91:102996.
On the challenges and perspectives of foundation models for medical image analysis.
Mining multi-center heterogeneous medical data with distributed synthetic learning. Nat Commun. 2023 Sep 07; 14(1):5510.
Mining multi-center heterogeneous medical data with distributed synthetic learning.
Gu R, Wang G, Lu J, Zhang J, Lei W, Chen Y, Liao W, Zhang S, Li K, Metaxas DN, Zhang S
CDDSA: Contrastive domain disentanglement and style augmentation for generalizable medical image segmentation. Med Image Anal. 2023 10; 89:102904.
CDDSA: Contrastive domain disentanglement and style augmentation for generalizable medical image segmentation.
Ding K, Zhou M, Wang H, Gevaert O, Metaxas D, Zhang S
A Large-scale Synthetic Pathological Dataset for Deep Learning-enabled Segmentation of Breast Cancer. Sci Data. 2023 Apr 21; 10(1):231.
A Large-scale Synthetic Pathological Dataset for Deep Learning-enabled Segmentation of Breast Cancer.
Martin-Isla C, Campello VM, Izquierdo C, Kushibar K, Sendra-Balcells C, Gkontra P, Sojoudi A, Fulton MJ, Arega TW, Punithakumar K, Li L, Sun X, Al Khalil Y, Liu D, Jabbar S, Queiros S, Galati F, Mazher M, Gao Z, Beetz M, Tautz L, Galazis C, Varela M, Hullebrand M, Grau V, Zhuang X, Puig D, Zuluaga MA, Mohy-Ud-Din H, Metaxas D, Breeuwer M, van der Geest RJ, Noga M, Bricq S, Rentschler ME, Guala A, Petersen SE, Escalera S, Palomares JFR, Lekadir K
IEEE journal of biomedical and health informatics
Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge. IEEE J Biomed Health Inform. 2023 07; 27(7):3302-3313.
Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge.
Ye M, Yang D, Huang Q, Kanski M, Axel L, Metaxas DN
IEEE transactions on pattern analysis and machine intelligence
SequenceMorph: A Unified Unsupervised Learning Framework for Motion Tracking on Cardiac Image Sequences. IEEE Trans Pattern Anal Mach Intell. 2023 Aug; 45(8):10409-10426.
SequenceMorph: A Unified Unsupervised Learning Framework for Motion Tracking on Cardiac Image Sequences.
Wang G, Zhang S, Huang X, Vercauteren T, Metaxas D
Editorial for special issue on explainable and generalizable deep learning methods for medical image computing. Med Image Anal. 2023 Feb; 84:102727.
Editorial for special issue on explainable and generalizable deep learning methods for medical image computing.
Luo X, Liao W, Xiao J, Chen J, Song T, Zhang X, Li K, Metaxas DN, Wang G, Zhang S
WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image. Med Image Anal. 2022 Nov; 82:102642.
WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image.
Chang Q, Qu H, Yan Z, Gao Y, Baskaran L, Metaxas D
Modality Bank: Learn multi-modality images across data centers without sharing medical data. Annu Int Conf IEEE Eng Med Biol Soc. 2022 07; 2022:4758-4763.
Modality Bank: Learn multi-modality images across data centers without sharing medical data.
Visualization and Analysis of Multidimensional Cardiovascular Magnetic Resonance Imaging: Challenges and Opportunities. Front Cardiovasc Med. 2022; 9:919810.
Visualization and Analysis of Multidimensional Cardiovascular Magnetic Resonance Imaging: Challenges and Opportunities.
Luo X, Wang G, Liao W, Chen J, Song T, Chen Y, Zhang S, Metaxas DN, Zhang S
Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency. Med Image Anal. 2022 Aug; 80:102517.
Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency.
Da Q, Huang X, Li Z, Zuo Y, Zhang C, Liu J, Chen W, Li J, Xu D, Hu Z, Yi H, Guo Y, Wang Z, Chen L, Zhang L, He X, Zhang X, Mei K, Zhu C, Lu W, Shen L, Shi J, Li J, S S, Krishnamurthi G, Yang J, Lin T, Song Q, Liu X, Graham S, Bashir RMS, Yang C, Qin S, Tian X, Yin B, Zhao J, Metaxas DN, Li H, Wang C, Zhang S
DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system. Med Image Anal. 2022 08; 80:102485.
DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system.
Da Q, Deng S, Li J, Yi H, Huang X, Yang X, Yu T, Wang X, Liu J, Duan Q, Metaxas D, Wang C
Quantifying the cell morphology and predicting biological behavior of signet ring cell carcinoma using deep learning. Sci Rep. 2022 Jan 07; 12(1):183.
Quantifying the cell morphology and predicting biological behavior of signet ring cell carcinoma using deep learning.
Luo X, Song T, Wang G, Chen J, Chen Y, Li K, Metaxas DN, Zhang S
SCPM-Net: An anchor-free 3D lung nodule detection network using sphere representation and center points matching. Med Image Anal. 2022 01; 75:102287.
SCPM-Net: An anchor-free 3D lung nodule detection network using sphere representation and center points matching.
Wang G, Zhai S, Lasio G, Zhang B, Yi B, Chen S, Macvittie TJ, Metaxas D, Zhou J, Zhang S
Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis From Lung CT Scans With Multi-Scale Guided Dense Attention. IEEE Trans Med Imaging. 2022 Mar; 41(3):531-542.
Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis From Lung CT Scans With Multi-Scale Guided Dense Attention.
Qu H, Zhou M, Yan Z, Wang H, Rustgi VK, Zhang S, Gevaert O, Metaxas DN
Genetic mutation and biological pathway prediction based on whole slide images in breast carcinoma using deep learning. NPJ Precis Oncol. 2021 Sep 23; 5(1):87.
Genetic mutation and biological pathway prediction based on whole slide images in breast carcinoma using deep learning.
Qu H, Minacapelli CD, Tait C, Gupta K, Bhurwal A, Catalano C, Dafalla R, Metaxas D, Rustgi VK
Computer methods and programs in biomedicine
Training of computational algorithms to predict NAFLD activity score and fibrosis stage from liver histopathology slides. Comput Methods Programs Biomed. 2021 Aug; 207:106153.
Training of computational algorithms to predict NAFLD activity score and fibrosis stage from liver histopathology slides.
Yi J, Wu P, Tang H, Liu B, Huang Q, Qu H, Han L, Fan W, Hoeppner DJ, Metaxas DN
Object-Guided Instance Segmentation With Auxiliary Feature Refinement for Biological Images. IEEE Trans Med Imaging. 2021 Sep; 40(9):2403-2414.
Object-Guided Instance Segmentation With Auxiliary Feature Refinement for Biological Images.
Song H, Xu W, Liu D, Liu B, Liu Q, Metaxas DN
Multi-Stage Feature Fusion Network for Video Super-Resolution. IEEE Trans Image Process. 2021; 30:2923-2934.
Multi-Stage Feature Fusion Network for Video Super-Resolution.
Qu Y, Li X, Yan Z, Zhao L, Zhang L, Liu C, Xie S, Li K, Metaxas D, Wu W, Hao Y, Dai K, Zhang S, Tao X, Ai S
Surgical planning of pelvic tumor using multi-view CNN with relation-context representation learning. Med Image Anal. 2021 04; 69:101954.
Surgical planning of pelvic tumor using multi-view CNN with relation-context representation learning.
Wang W, Xia Q, Hu Z, Yan Z, Li Z, Wu Y, Huang N, Gao Y, Metaxas D, Zhang S
Few-Shot Learning by a Cascaded Framework With Shape-Constrained Pseudo Label Assessment for Whole Heart Segmentation. IEEE Trans Med Imaging. 2021 10; 40(10):2629-2641.
Few-Shot Learning by a Cascaded Framework With Shape-Constrained Pseudo Label Assessment for Whole Heart Segmentation.
Neural networks : the official journal of the International Neural Network Society
Greedy auto-augmentation for n-shot learning using deep neural networks. Neural Netw. 2021 Mar; 135:68-77.
Greedy auto-augmentation for n-shot learning using deep neural networks.
Huang Q, Xian Y, Yang D, Qu H, Yi J, Wu P, Metaxas DN
Dynamic MRI reconstruction with end-to-end motion-guided network. Med Image Anal. 2021 02; 68:101901.
Dynamic MRI reconstruction with end-to-end motion-guided network.
Gao Y, Huang R, Yang Y, Zhang J, Shao K, Tao C, Chen Y, Metaxas DN, Li H, Chen M
FocusNetv2: Imbalanced large and small organ segmentation with adversarial shape constraint for head and neck CT images. Med Image Anal. 2021 01; 67:101831.
FocusNetv2: Imbalanced large and small organ segmentation with adversarial shape constraint for head and neck CT images.
Alexiou GA, Lianos GD, Tzima A, Sotiropoulos A, Nasios A, Metaxas D, Zigouris A, Rn JZ, Mitsis M, Voulgaris S
Neutrophil to lymphocyte ratio as a predictive biomarker for computed tomography scan use in mild traumatic brain injury. Biomark Med. 2020 Aug; 14(12):1085-1090.
Neutrophil to lymphocyte ratio as a predictive biomarker for computed tomography scan use in mild traumatic brain injury.
Qu H, Wu P, Huang Q, Yi J, Yan Z, Li K, Riedlinger GM, De S, Zhang S, Metaxas DN
Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images. IEEE Trans Med Imaging. 2020 11; 39(11):3655-3666.
Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images.
Onofrey JA, Staib LH, Huang X, Zhang F, Papademetris X, Metaxas D, Rueckert D, Duncan JS
Sparse Data-Driven Learning for Effective and Efficient Biomedical Image Segmentation. Annu Rev Biomed Eng. 2020 Jun 04; 22:127-153.
Sparse Data-Driven Learning for Effective and Efficient Biomedical Image Segmentation.
Yi J, Wu P, Jiang M, Huang Q, Hoeppner DJ, Metaxas DN
Attentive neural cell instance segmentation. Med Image Anal. 2019 Jul; 55:228-240.
Attentive neural cell instance segmentation.
Towards Efficient U-Nets: A Coupled and Quantized Approach. IEEE Trans Pattern Anal Mach Intell. 2020 Aug; 42(8):2038-2050.
Towards Efficient U-Nets: A Coupled and Quantized Approach.
Zhang H, Xu T, Li H, Zhang S, Wang X, Huang X, Metaxas DN
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks. IEEE Trans Pattern Anal Mach Intell. 2019 Aug; 41(8):1947-1962.
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks.
Mehrizi R, Peng X, Xu X, Zhang S, Metaxas D, Li K
A computer vision based method for 3D posture estimation of symmetrical lifting. J Biomech. 2018 Mar 01; 69:40-46.
A computer vision based method for 3D posture estimation of symmetrical lifting.
Yang D, Wu P, Tan C, Pohl KM, Axel L, Metaxas D
Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH
3D Motion Modeling and Reconstruction of Left Ventricle Wall in Cardiac MRI. Funct Imaging Model Heart. 2017 Jun; 10263:481-492.
3D Motion Modeling and Reconstruction of Left Ventricle Wall in Cardiac MRI.
Bernardis E, Zhang Y, Konukoglu E, Ou Y, Javitz HS, Axel L, Metaxas D, Desjardins B, Pohl KM
IEEE transactions on bio-medical engineering
eCurves: A Temporal Shape Encoding. IEEE Trans Biomed Eng. 2018 Apr; 65(4):733-744.
Interactive Exploration for Continuously Expanding Neuron Databases. Methods. 2017 02 15; 115:100-109.
Interactive Exploration for Continuously Expanding Neuron Databases.
Mehrizi R, Xu X, Zhang S, Pavlovic V, Metaxas D, Li K
Using a marker-less method for estimating L5/S1 moments during symmetrical lifting. Appl Ergon. 2017 Nov; 65:541-550.
Using a marker-less method for estimating L5/S1 moments during symmetrical lifting.
Jiang M, Zhang S, Huang J, Yang L, Metaxas DN
Scalable histopathological image analysis via supervised hashing with multiple features. Med Image Anal. 2016 Dec; 34:3-12.
Scalable histopathological image analysis via supervised hashing with multiple features.
Large-Scale medical image analytics: Recent methodologies, applications and Future directions. Med Image Anal. 2016 10; 33:98-101.
Large-Scale medical image analytics: Recent methodologies, applications and Future directions.
Multi-Instance Deep Learning: Discover Discriminative Local Anatomies for Bodypart Recognition. IEEE Trans Med Imaging. 2016 May; 35(5):1332-1343.
Multi-Instance Deep Learning: Discover Discriminative Local Anatomies for Bodypart Recognition.
Thanos PK, Restif C, O'Rourke JR, Lam CY, Metaxas D
Journal of neural transmission (Vienna, Austria : 1996)
Mouse Social Interaction Test (MoST): a quantitative computer automated analysis of behavior. J Neural Transm (Vienna). 2017 Jan; 124(1):3-11.
Mouse Social Interaction Test (MoST): a quantitative computer automated analysis of behavior.
Face Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Model. IEEE Trans Pattern Anal Mach Intell. 2016 Nov; 38(11):2212-2226.
Face Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Model.
Ahmed R, Arfin R, Rubel MH, Islam KK, Jia C, Metaxas D, Garra BS, Alam SK
Comparison of windowing effects on elastography images: Simulation, phantom and in vivo studies. Ultrasonics. 2016 Mar; 66:140-153.
Comparison of windowing effects on elastography images: Simulation, phantom and in vivo studies.
Zhang S, Yang M, Cour T, Yu K, Metaxas DN
Query Specific Rank Fusion for Image Retrieval. IEEE Trans Pattern Anal Mach Intell. 2015 Apr; 37(4):803-15.
Query Specific Rank Fusion for Image Retrieval.
Yan Z, Zhan Y, Peng Z, Liao S, Shinagawa Y, Metaxas DN, Zhou XS
Information processing in medical imaging : proceedings of the ... conference
Bodypart Recognition Using Multi-stage Deep Learning. Inf Process Med Imaging. 2015; 24:449-61.
Bodypart Recognition Using Multi-stage Deep Learning.
Fang R, Chen T, Metaxas D, Sanelli P, Zhang S
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Sparsity techniques in medical imaging. Comput Med Imaging Graph. 2015 Dec; 46 Pt 1(Pt 1):1.
An efficient conditional random field approach for automatic and interactive neuron segmentation. Med Image Anal. 2016 Jan; 27:31-44.
An efficient conditional random field approach for automatic and interactive neuron segmentation.
Chen T, Reyhan M, Yue N, Metaxas DN, Haffty BG, Goyal S
Tagged MRI based cardiac motion modeling and toxicity evaluation in breast cancer radiotherapy. Front Oncol. 2015; 5:9.
Tagged MRI based cardiac motion modeling and toxicity evaluation in breast cancer radiotherapy.
Advances in neural information processing systems
Mode Estimation for High Dimensional Discrete Tree Graphical Models. Adv Neural Inf Process Syst. 2014 Dec; 27:5533.
Mode Estimation for High Dimensional Discrete Tree Graphical Models.
Wang G, Zhang S, Xie H, Metaxas DN, Gu L
A homotopy-based sparse representation for fast and accurate shape prior modeling in liver surgical planning. Med Image Anal. 2015 Jan; 19(1):176-86.
A homotopy-based sparse representation for fast and accurate shape prior modeling in liver surgical planning.
Computer-aided diagnosis of mammographic masses using scalable image retrieval. IEEE Trans Biomed Eng. 2015 Feb; 62(2):783-92.
Computer-aided diagnosis of mammographic masses using scalable image retrieval.
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
Optree: a learning-based adaptive watershed algorithm for neuron segmentation. Med Image Comput Comput Assist Interv. 2014; 17(Pt 1):97-105.
Optree: a learning-based adaptive watershed algorithm for neuron segmentation.
Scalable histopathological image analysis via active learning. Med Image Comput Comput Assist Interv. 2014; 17(Pt 3):369-76.
Scalable histopathological image analysis via active learning.
Zhong L, Liu Q, Yang P, Huang J, Metaxas DN
Learning Multiscale Active Facial Patches for Expression Analysis. IEEE Trans Cybern. 2015 Aug; 45(8):1499-510.
Learning Multiscale Active Facial Patches for Expression Analysis.
Wang X, Chen T, Zhang S, Schaerer J, Qian Z, Huh S, Metaxas D, Axel L
Meshless deformable models for 3D cardiac motion and strain analysis from tagged MRI. Magn Reson Imaging. 2015 Jan; 33(1):146-60.
Meshless deformable models for 3D cardiac motion and strain analysis from tagged MRI.
On continuous user authentication via typing behavior. IEEE Trans Image Process. 2014 Oct; 23(10):4611-24.
On continuous user authentication via typing behavior.
Restif C, Ibáñez-Ventoso C, Vora MM, Guo S, Metaxas D, Driscoll M
CeleST: computer vision software for quantitative analysis of C. elegans swim behavior reveals novel features of locomotion. PLoS Comput Biol. 2014 Jul; 10(7):e1003702.
CeleST: computer vision software for quantitative analysis of C. elegans swim behavior reveals novel features of locomotion.
Yu X, Zhang S, Yan Z, Yang F, Huang J, Dunbar NE, Jensen ML, Burgoon JK, Metaxas DN
Is interactional dissynchrony a clue to deception? Insights from automated analysis of nonverbal visual cues. IEEE Trans Cybern. 2015 Mar; 45(3):506-20.
Is interactional dissynchrony a clue to deception? Insights from automated analysis of nonverbal visual cues.
Yan Z, Zhang S, Tan C, Qin H, Belaroussi B, Yu HJ, Miller C, Metaxas DN
Atlas-based liver segmentation and hepatic fat-fraction assessment for clinical trials. Comput Med Imaging Graph. 2015 Apr; 41:80-92.
Atlas-based liver segmentation and hepatic fat-fraction assessment for clinical trials.
Deformable models with sparsity constraints for cardiac motion analysis. Med Image Anal. 2014 Aug; 18(6):927-37.
Deformable models with sparsity constraints for cardiac motion analysis.
Ye DH, Desjardins B, Ferrari V, Metaxas D, Pohl KM
Proceedings. IEEE International Symposium on Biomedical Imaging
AUTO-ENCODING OF DISCRIMINATING MORPHOMETRY FROM CARDIAC MRI. Proc IEEE Int Symp Biomed Imaging. 2014; 2014:217-221.
AUTO-ENCODING OF DISCRIMINATING MORPHOMETRY FROM CARDIAC MRI.
Uzunbas MG, Chen C, Zhang S, Poh KM, Li K, Metaxas D
Collaborative multi organ segmentation by integrating deformable and graphical models. Med Image Comput Comput Assist Interv. 2013; 16(Pt 2):157-64.
Collaborative multi organ segmentation by integrating deformable and graphical models.
Yan Z, Zhang S, Liu X, Metaxas DN, Montillo A, Australian Imaging Biomarkers and Lifestyle Flagship Study of Ageing
Medical computer vision : large data in medical imaging : third international MICCAI workshop, MCV 2013, Nagoya, Japan, September 26, 2013 : revised selected papers. MCV (Workshop) (3rd : 2013 : Nagoya-shi, Japan)
Accurate Whole-Brain Segmentation for Alzheimer's Disease Combining an Adaptive Statistical Atlas and Multi-atlas. Med Comput Vis (2013). 2014; 8331:65-73.
Accurate Whole-Brain Segmentation for Alzheimer's Disease Combining an Adaptive Statistical Atlas and Multi-atlas.
Give spontaneity and self-discovery a chance in ASD: spontaneous peripheral limb variability as a proxy to evoke centrally driven intentional acts. Front Integr Neurosci. 2013; 7:46.
Give spontaneity and self-discovery a chance in ASD: spontaneous peripheral limb variability as a proxy to evoke centrally driven intentional acts.
Torres EB, Brincker M, Isenhower RW, Yanovich P, Stigler KA, Nurnberger JI, Metaxas DN, José JV
Autism: the micro-movement perspective. Front Integr Neurosci. 2013; 7:32.
Yan Z, Zhang S, Liu X, Metaxas DN, Montillo A, AIBL
Accurate segmentation of brain images into 34 structures combining a non-stationary adaptive statistical atlas and a multi-atlas with applications to Alzheimer's disease. Proc IEEE Int Symp Biomed Imaging. 2013 Apr; 2013:1202-1205.
Accurate segmentation of brain images into 34 structures combining a non-stationary adaptive statistical atlas and a multi-atlas with applications to Alzheimer's disease.
Wang X, Mihalef V, Qian Z, Voros S, Metaxas D
3D cardiac motion reconstruction from CT data and tagged MRI. Annu Int Conf IEEE Eng Med Biol Soc. 2012; 2012:4083-6.
3D cardiac motion reconstruction from CT data and tagged MRI.
Zhang S, Zhan Y, Zhou Y, Uzunbas M, Metaxas DN
Shape prior modeling using sparse representation and online dictionary learning. Med Image Comput Comput Assist Interv. 2012; 15(Pt 3):435-42.
Shape prior modeling using sparse representation and online dictionary learning.
Gao M, Huang J, Huang X, Zhang S, Metaxas DN
Simplified labeling process for medical image segmentation. Med Image Comput Comput Assist Interv. 2012; 15(Pt 2):387-94.
Simplified labeling process for medical image segmentation.
Bernardis E, Konukoglu E, Ou Y, Metaxas DN, Desjardins B, Pohl KM
Temporal shape analysis via the spectral signature. Med Image Comput Comput Assist Interv. 2012; 15(Pt 2):49-56.
Temporal shape analysis via the spectral signature.
Yu Y, Zhang S, Huang J, Metaxas D, Axel L
Sparse deformable models with application to cardiac motion analysis. Inf Process Med Imaging. 2013; 23:208-19.
Sparse deformable models with application to cardiac motion analysis.
Gao M, Chen C, Zhang S, Qian Z, Metaxas D, Axel L
Segmenting the papillary muscles and the trabeculae from high resolution cardiac CT through restoration of topological handles. Inf Process Med Imaging. 2013; 23:184-95.
Segmenting the papillary muscles and the trabeculae from high resolution cardiac CT through restoration of topological handles.
Deformable segmentation via sparse representation and dictionary learning. Med Image Anal. 2012 Oct; 16(7):1385-96.
Deformable segmentation via sparse representation and dictionary learning.
Uzunbas MG, Zhang S, Pohl KM, Metaxas D, Axel L
SEGMENTATION OF MYOCARDIUM USING DEFORMABLE REGIONS AND GRAPH CUTS. Proc IEEE Int Symp Biomed Imaging. 2012 May; 2012:254-257.
SEGMENTATION OF MYOCARDIUM USING DEFORMABLE REGIONS AND GRAPH CUTS.
IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society
Automatic image annotation and retrieval using group sparsity. IEEE Trans Syst Man Cybern B Cybern. 2012 Jun; 42(3):838-49.
Automatic image annotation and retrieval using group sparsity.
Zhang S, Huang J, Uzunbas M, Shen T, Delis F, Huang X, Volkow N, Thanos P, Metaxas DN
3D segmentation of rodent brain structures using hierarchical shape priors and deformable models. Med Image Comput Comput Assist Interv. 2011; 14(Pt 3):611-8.
3D segmentation of rodent brain structures using hierarchical shape priors and deformable models.
Kulp S, Gao M, Zhang S, Qian Z, Voros S, Metaxas D, Axel L
Using high resolution cardiac CT data to model and visualize patient-specific interactions between trabeculae and blood flow. Med Image Comput Comput Assist Interv. 2011; 14(Pt 1):468-75.
Using high resolution cardiac CT data to model and visualize patient-specific interactions between trabeculae and blood flow.
Zhang S, Zhan Y, Dewan M, Huang J, Metaxas DN, Zhou XS
Deformable segmentation via sparse shape representation. Med Image Comput Comput Assist Interv. 2011; 14(Pt 2):451-8.
Deformable segmentation via sparse shape representation.
Towards robust and effective shape modeling: sparse shape composition. Med Image Anal. 2012 Jan; 16(1):265-77.
Towards robust and effective shape modeling: sparse shape composition.
Efficient MR image reconstruction for compressed MR imaging. Med Image Anal. 2011 Oct; 15(5):670-9.
Efficient MR image reconstruction for compressed MR imaging.
Identifying regional cardiac abnormalities from myocardial strains using nontracking-based strain estimation and spatio-temporal tensor analysis. IEEE Trans Med Imaging. 2011 Dec; 30(12):2017-29.
Identifying regional cardiac abnormalities from myocardial strains using nontracking-based strain estimation and spatio-temporal tensor analysis.
Li C, Huang R, Ding Z, Gatenby JC, Metaxas DN, Gore JC
A level set method for image segmentation in the presence of intensity inhomogeneities with application to MRI. IEEE Trans Image Process. 2011 Jul; 20(7):2007-16.
A level set method for image segmentation in the presence of intensity inhomogeneities with application to MRI.
Huang Y, Liu Q, Lv F, Gong Y, Metaxas DN
Unsupervised image categorization by hypergraph partition. IEEE Trans Pattern Anal Mach Intell. 2011 Jun; 33(6):1266-73.
Unsupervised image categorization by hypergraph partition.
Computational biomechanics for medicine. Soft tissues and the musculoskeletal system
Incompressible Biventricular Model Construction and Heart Segmentation of 4D Tagged MRI. Comput Biomech Med Soft Tiss Musculoskelet Syst. 2011; 2011:143-155.
Comput Biomech Med Soft Tiss Musculoskelet Syst
Incompressible Biventricular Model Construction and Heart Segmentation of 4D Tagged MRI.
Liu Q, Qian Z, Marvasty I, Rinehart S, Voros S, Metaxas DN
Lesion-specific coronary artery calcium quantification for predicting cardiac event with multiple instance support vector machines. Med Image Comput Comput Assist Interv. 2010; 13(Pt 1):484-92.
Lesion-specific coronary artery calcium quantification for predicting cardiac event with multiple instance support vector machines.
Efficient MR image reconstruction for compressed MR imaging. Med Image Comput Comput Assist Interv. 2010; 13(Pt 1):135-42.
A component-based framework for generalized face alignment. IEEE Trans Syst Man Cybern B Cybern. 2011 Feb; 41(1):287-98.
A component-based framework for generalized face alignment.
Zhou J, Kim S, Jabbour S, Goyal S, Haffty B, Chen T, Levinson L, Metaxas D, Yue NJ
A 3D global-to-local deformable mesh model based registration and anatomy-constrained segmentation method for image guided prostate radiotherapy. Med Phys. 2010 Mar; 37(3):1298-308.
A 3D global-to-local deformable mesh model based registration and anatomy-constrained segmentation method for image guided prostate radiotherapy.
Ji Q, Luo J, Metaxas D, Torralba A, Huang TS, Sudderth EB
Guest editors' introduction to the special section on probabilistic graphical models. IEEE Trans Pattern Anal Mach Intell. 2009 Oct; 31(10):1729-32.
Guest editors' introduction to the special section on probabilistic graphical models.
Special section on the 12th International Conference on Medical Imaging and Computer Assisted Intervention. Editorial. Med Image Anal. 2009 Oct; 13(5):771-2.
Special section on the 12th International Conference on Medical Imaging and Computer Assisted Intervention. Editorial.
Pasternack RM, Qian Z, Zheng JY, Metaxas DN, Boustany NN
Highly sensitive size discrimination of sub-micron objects using optical Fourier processing based on two-dimensional Gabor filters. Opt Express. 2009 Jul 06; 17(14):12001-12.
Highly sensitive size discrimination of sub-micron objects using optical Fourier processing based on two-dimensional Gabor filters.
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