Year |
Citation |
Score |
2017 |
O'Neill TJ, Davenport EM, Murugesan G, Montillo A, Maldjian JA. Applications of Resting State Functional MR Imaging to Traumatic Brain Injury. Neuroimaging Clinics of North America. 27: 685-696. PMID 28985937 DOI: 10.1016/J.Nic.2017.06.006 |
0.305 |
|
2016 |
Müller H, Menze B, Langs G, Montillo A, Kelm M, Zhang S, Cai W, Metaxas D. Overview of the 2015 workshop on medical computer vision — Algorithms for big data (MCV 2015) Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9601: 3-9. DOI: 10.1007/978-3-319-42016-5_1 |
0.468 |
|
2015 |
Montillo A, Song Q, Das B, Yin Z. Hierarchical Pictorial Structures for Simultaneously Localizing Multiple Organs in Volumetric Pre-Scan CT. Proceedings of Spie--the International Society For Optical Engineering. 9413. PMID 31798201 DOI: 10.1117/12.2082183 |
0.348 |
|
2015 |
Yin Z, Yao Y, Montillo A, Wu M, Edic PM, Kalra M, De Man B. Acquisition, preprocessing, and reconstruction of ultralow dose volumetric CT scout for organ-based CT scan planning. Medical Physics. 42: 2730-9. PMID 25979071 DOI: 10.1118/1.4921065 |
0.334 |
|
2014 |
Yan Z, Zhang S, Liu X, Metaxas DN, Montillo A. Accurate Whole-Brain Segmentation for Alzheimer's Disease Combining an Adaptive Statistical Atlas and Multi-atlas. 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). 8331: 65-73. PMID 31723945 DOI: 10.1007/978-3-319-05530-5_7 |
0.505 |
|
2014 |
Müller H, Menze B, Langs G, Montillo A, Kelm M, Zhang S, Cai W, Metaxas D. Overview of the 2014 workshop on medical computer vision-algorithms for big data (MCV 2014) Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8848: 3-10. DOI: 10.1007/978-3-319-13972-2_1 |
0.471 |
|
2014 |
Yan Z, Zhang S, Liu X, Metaxas DN, Montillo A. Accurate whole-brain segmentation for Alzheimer's Disease combining an adaptive statistical atlas and multi-atlas Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8331: 65-73. DOI: 10.1007/978-3-319-05530-5_7 |
0.506 |
|
2013 |
Yan Z, Zhang S, Liu X, Metaxas DN, Montillo A. 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. Proceedings. Ieee International Symposium On Biomedical Imaging. 2013: 1202-1205. PMID 31788155 DOI: 10.1109/ISBI.2013.6556696 |
0.535 |
|
2013 |
Liu X, Montillo A, Tan ET, Schenck JF. iSTAPLE: Improved Label Fusion for Segmentation by Combining STAPLE with Image Intensity. Proceedings of Spie--the International Society For Optical Engineering. 8669. PMID 31741552 DOI: 10.1117/12.2006447 |
0.437 |
|
2013 |
Liu X, Montillo A, Tan ET, Schenck JF. iSTAPLE: Improved Label Fusion for Segmentation by Combining STAPLE with Image Intensity. Proceedings of Spie--the International Society For Optical Engineering. 8669. PMID 31741552 DOI: 10.1117/12.2006447 |
0.337 |
|
2013 |
Montillo A, Song Q, Liu X, Miller JV. Parsing radiographs by integrating landmark set detection and multi-object active appearance models. Proceedings of Spie--the International Society For Optical Engineering. 8669: 86690H. PMID 25075265 DOI: 10.1117/12.2007138 |
0.339 |
|
2013 |
Liu X, Montillo A, Tan ET, Schenck JF, Mendonca P. Deformable atlas for multi-structure segmentation. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 16: 743-50. PMID 24505734 DOI: 10.1007/978-3-642-40811-3_93 |
0.368 |
|
2013 |
Liu X, Montillo A, Tan ET, Schenck JF. iSTAPLE: Improved label fusion for segmentation by combining STAPLE with image intensity Progress in Biomedical Optics and Imaging - Proceedings of Spie. 8669. DOI: 10.1117/12.2006447 |
0.337 |
|
2013 |
Yan Z, Zhang S, Liu X, Metaxas DN, Montillo A. 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 Proceedings - International Symposium On Biomedical Imaging. 1202-1205. DOI: 10.1109/ISBI.2013.6556696 |
0.535 |
|
2011 |
Montillo A, Metaxas D, Axel L. Incompressible Biventricular Model Construction and Heart Segmentation of 4D Tagged MRI. Computational Biomechanics For Medicine. Soft Tissues and the Musculoskeletal System. 2011: 143-155. PMID 31742255 DOI: 10.1007/978-1-4419-9619-0 |
0.489 |
|
2011 |
Montillo A, Metaxas D, Axel L. Incompressible Biventricular Model Construction and Heart Segmentation of 4D Tagged MRI. Computational Biomechanics For Medicine. Soft Tissues and the Musculoskeletal System. 2011: 143-155. PMID 31742255 DOI: 10.1007/978-1-4419-9619-0 |
0.696 |
|
2011 |
Montillo A, Shotton J, Winn J, Iglesias JE, Metaxas D, Criminisi A. Entangled decision forests and their application for semantic segmentation of CT images. Information Processing in Medical Imaging : Proceedings of the ... Conference. 22: 184-96. PMID 21761656 DOI: 10.1007/978-3-642-22092-0_16 |
0.483 |
|
2005 |
Park K, Montillo A, Metaxas D, Axel L. VOLUMETRIC HEART MODELING AND ANALYSIS: Using magnetically tagged data to better understand the mechanical function of normal and abnormal hearts. Communications of the Acm. 48: 43-48. PMID 31662583 DOI: 10.1145/1042091.1042118 |
0.659 |
|
2005 |
Axel L, Montillo A, Kim D. Tagged magnetic resonance imaging of the heart: a survey. Medical Image Analysis. 9: 376-93. PMID 15878302 DOI: 10.1016/J.Media.2005.01.003 |
0.595 |
|
2005 |
Park K, Montillo A, Metaxas D, Axel L. Volumetric heart modelling and analysis Communications of the Acm. 48: 43-48. DOI: 10.1145/1042091.1042118 |
0.713 |
|
2004 |
Montillo A, Metaxas D, Axel L. Extracting tissue deformation using Gabor filter banks. Proceedings of Spie--the International Society For Optical Engineering. 5369. PMID 31824125 DOI: 10.1117/12.536860 |
0.595 |
|
2004 |
Montillo A, Metaxas D, Axel L. Extracting tissue deformation using Gabor filter banks Proceedings of Spie - the International Society For Optical Engineering. 5369: 1-9. DOI: 10.1117/12.536860 |
0.498 |
|
2003 |
Montillo A, Udupa J, Axel L, Metaxas D. Interaction between noise suppression and inhomogeneity correction in MRI. Proceedings of Spie--the International Society For Optical Engineering. 5032. PMID 31745377 DOI: 10.1117/12.483555 |
0.568 |
|
2003 |
Montillo A, Metaxas D, Axel L. Automated Model-Based Segmentation of the Left and Right Ventricles in Tagged Cardiac MRI. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 2878: 507-515. PMID 31663082 DOI: 10.1007/978-3-540-39899-8_63 |
0.646 |
|
2003 |
Montillo A, Udupa J, Axel L, Metaxas D. Interaction between noise suppression and inhomogeneity correction in MRI Proceedings of Spie - the International Society For Optical Engineering. 5032: 1025-1036. DOI: 10.1117/12.483555 |
0.568 |
|
2003 |
Metaxas DN, Axel L, Hu Z, Montillo A, Park K, Qian Z. Segmentation and Analysis of 3D Cardiac Motion from Tagged MRI Images Annual International Conference of the Ieee Engineering in Medicine and Biology - Proceedings. 1: 122-125. |
0.714 |
|
2003 |
Montillo A, Metaxas D, Axel L. Automated model-based segmentation of the left and right ventricles in tagged cardiac MRI Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2878: 507-515. |
0.566 |
|
2003 |
Qian Z, Montillo A, Metaxas DN, Axel L. Segmenting Cardiac MRI Tagging Lines using Gabor Filter Banks Annual International Conference of the Ieee Engineering in Medicine and Biology - Proceedings. 1: 630-633. |
0.613 |
|
2002 |
Montillo A, Metaxas D, Axel L. Automated Segmentation of the Left and Right Ventricles in 4D Cardiac SPAMM Images. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 2488: 620-633. PMID 31737869 DOI: 10.1007/3-540-45786-0_77 |
0.662 |
|
2002 |
Montillo A, Metaxas D, Axel L. Automated Segmentation of the Left and Right Ventricles in 4D Cardiac SPAMM Images. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 2488: 620-633. PMID 31737869 DOI: 10.1007/3-540-45786-0_77 |
0.42 |
|
2002 |
Fischl B, Salat DH, Busa E, Albert M, Dieterich M, Haselgrove C, van der Kouwe A, Killiany R, Kennedy D, Klaveness S, Montillo A, Makris N, Rosen B, Dale AM. Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain. Neuron. 33: 341-55. PMID 11832223 DOI: 10.1016/S0896-6273(02)00569-X |
0.375 |
|
2002 |
Metaxas D, Axel L, Montillo A, Park K. Automated segmentation and motion estimation of LV/RV motion from MRI Annual International Conference of the Ieee Engineering in Medicine and Biology - Proceedings. 2: 1099-1100. |
0.517 |
|
2002 |
Montillo A, Metaxas D, Axel L. Automated segmentation of the left and right ventricles in 4D cardiac SPAMM images Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2488: 620-633. |
0.586 |
|
Low-probability matches (unlikely to be authored by this person) |
2019 |
Dash D, Ferrari P, Malik S, Montillo A, Maldjian JA, Wang J. Determining the Optimal Number of MEG Trials: A Machine Learning and Speech Decoding Perspective. Brain Informatics : International Conference, Bi 2018, Arlington, Tx, Usa, December 7-9, 2018, Proceedings. International Conference On Brain Informatics (2018 : Arlington, Tex.). 11309: 163-172. PMID 31768504 DOI: 10.1007/978-3-030-05587-5_16 |
0.268 |
|
2022 |
Nguyen KP, Raval V, Minhajuddin A, Carmody T, Trivedi MH, Dewey RB, Montillo AA. BLENDS: Augmentation of Functional Magnetic Resonance Images for Machine Learning using Anatomically Constrained Warping. Brain Connectivity. PMID 36097756 DOI: 10.1089/brain.2021.0186 |
0.262 |
|
2011 |
Iglesias JE, Konukoglu E, Montillo A, Tu Z, Criminisi A. Combining generative and discriminative models for semantic segmentation of CT scans via active learning. Information Processing in Medical Imaging : Proceedings of the ... Conference. 22: 25-36. PMID 21761643 DOI: 10.1007/978-3-642-22092-0_3 |
0.26 |
|
2020 |
Nguyen KP, Fatt CC, Treacher A, Mellema C, Trivedi MH, Montillo A. Anatomically-Informed Data Augmentation for Functional MRI with Applications to Deep Learning. Proceedings of Spie--the International Society For Optical Engineering. 11313. PMID 33767520 DOI: 10.1117/12.2548630 |
0.244 |
|
2013 |
Bianchi A, Miller JV, Tan ET, Montillo A. BRAIN TUMOR SEGMENTATION WITH SYMMETRIC TEXTURE AND SYMMETRIC INTENSITY-BASED DECISION FORESTS. Proceedings / Ieee International Symposium On Biomedical Imaging: From Nano to Macro. Ieee International Symposium On Biomedical Imaging. 2013: 748-751. PMID 25404996 DOI: 10.1109/ISBI.2013.6556583 |
0.238 |
|
2003 |
Montillo A, Udupa J, Axel L, Metaxas D. Interaction between noise suppression and inhomogeneity correction in MRI. Proceedings of Spie--the International Society For Optical Engineering. 5032. PMID 31745377 DOI: 10.1117/12.483555 |
0.232 |
|
2014 |
Müller H, Menze BH, Langs G, Montillo A, Kelm BM, Tu Z, Del Toro OAJ. Overview of the 2013 workshop on Medical Computer Vision (MCV 2013) Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8331: 3-10. DOI: 10.1007/978-3-319-05530-5_1 |
0.231 |
|
2015 |
Montillo A, Song Q, Das B, Yin Z. Hierarchical pictorial structures for simultaneously localizing multiple organs in volumetric pre-scan CT Progress in Biomedical Optics and Imaging - Proceedings of Spie. 9413. DOI: 10.1117/12.2082183 |
0.23 |
|
2022 |
Raval V, Nguyen KP, Pinho M, Dewey RB, Trivedi M, Montillo AA. Pitfalls and Recommended Strategies and Metrics for Suppressing Motion Artifacts in Functional MRI. Neuroinformatics. PMID 35291020 DOI: 10.1007/s12021-022-09565-8 |
0.229 |
|
2014 |
Yin Z, Yao Y, Montillo A, Edic PM, De Man B. Feasibility study on ultra-low dose 3D scout of organ based CT scan planning. Conference Proceedings. International Conference On Image Formation in X-Ray Computed Tomography. 2014: 52-55. PMID 31788673 |
0.223 |
|
2021 |
Treacher AH, Garg P, Davenport E, Godwin R, Proskovec A, Bezerra LG, Murugesan G, Wagner B, Whitlow CT, Stitzel JD, Maldjian JA, Montillo AA. MEGnet: Automatic ICA-Based Artifact Removal for MEG using Spatiotemporal Convolutional Neural Networks. Neuroimage. 118402. PMID 34274419 DOI: 10.1016/j.neuroimage.2021.118402 |
0.212 |
|
2020 |
Raval V, Nguyen KP, Mellema C, Montillo A. Improved motion correction for functional MRI using an omnibus regression model. Proceedings. Ieee International Symposium On Biomedical Imaging. 2020: 1044-1047. PMID 33767806 DOI: 10.1109/ISBI45749.2020.9098688 |
0.208 |
|
2017 |
Garg P, Davenport E, Murugesan G, Wagner B, Whitlow C, Maldjian J, Montillo A. Automatic 1D Convolutional Neural Network-based Detection of Artifacts in MEG acquired without Electrooculography or Electrocardiography. ... International Workshop On Pattern Recognition in Neuroimaging. International Workshop On Pattern Recognition in Neuroimaging. 2017. PMID 31656826 DOI: 10.1109/PRNI.2017.7981506 |
0.205 |
|
2014 |
Song Q, Montillo A, Bhagalia R, Srikrishnan V. Organ localization using joint AP/LAT view landmark consensus detection and Hierarchical active appearance models Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8331: 138-147. DOI: 10.1007/978-3-319-05530-5_14 |
0.204 |
|
2014 |
Song Q, Montillo A, Bhagalia R, Srikrishnan V. Organ Localization Using Joint AP/LAT View Landmark Consensus Detection and Hierarchical Active Appearance Models. 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). 8331: 138-147. PMID 31915754 DOI: 10.1007/978-3-319-05530-5_14 |
0.202 |
|
2021 |
Nguyen KP, Raval V, Treacher A, Mellema C, Yu FF, Pinho MC, Subramaniam RM, Dewey RB, Montillo AA. Predicting Parkinson's disease trajectory using clinical and neuroimaging baseline measures. Parkinsonism & Related Disorders. 85: 44-51. PMID 33730626 DOI: 10.1016/j.parkreldis.2021.02.026 |
0.188 |
|
2019 |
Mellema C, Treacher A, Nguyen K, Montillo A. Multiple Deep Learning Architectures Achieve Superior Performance Diagnosing Autism Spectrum Disorder Using Features Previously Extracted from Structural and Functional MRI. Proceedings. Ieee International Symposium On Biomedical Imaging. 2019: 1891-1895. PMID 31741704 DOI: 10.1109/ISBI.2019.8759193 |
0.185 |
|
2019 |
Mellema C, Treacher A, Nguyen K, Montillo A. Multiple Deep Learning Architectures Achieve Superior Performance Diagnosing Autism Spectrum Disorder Using Features Previously Extracted from Structural and Functional MRI. Proceedings. Ieee International Symposium On Biomedical Imaging. 2019: 1891-1895. PMID 31741704 DOI: 10.1109/ISBI.2019.8759193 |
0.185 |
|
2009 |
Montillo A, Ling H. Age regression from faces using random forests Proceedings - International Conference On Image Processing, Icip. 2465-2468. DOI: 10.1109/ICIP.2009.5414103 |
0.166 |
|
2009 |
Montillo A, Ling H. Age Regression from Faces Using Random Forests. Proceedings. International Conference On Image Processing. 2009: 2465-2468. PMID 31772508 DOI: 10.1109/ICIP.2009.5414103 |
0.165 |
|
2009 |
Montillo A, Ling H. Age Regression from Faces Using Random Forests. Proceedings. International Conference On Image Processing. 2009: 2465-2468. PMID 31772508 DOI: 10.1109/ICIP.2009.5414103 |
0.165 |
|
2023 |
Mellema CJ, Montillo AA. Novel machine learning approaches for improving the reproducibility and reliability of functional and effective connectivity from functional MRI. Journal of Neural Engineering. 20. PMID 37963396 DOI: 10.1088/1741-2552/ad0c5f |
0.162 |
|
2019 |
Treacher A, Beauchamp D, Quadri B, Fetzer D, Vij A, Yokoo T, Montillo A. Deep Learning Convolutional Neural Networks for the Estimation of Liver Fibrosis Severity from Ultrasound Texture. Proceedings of Spie--the International Society For Optical Engineering. 10950. PMID 31741550 DOI: 10.1117/12.2512592 |
0.158 |
|
2018 |
Saghafi B, Murugesan G, Davenport E, Wagner B, Urban J, Kelley M, Jones D, Powers A, Whitlow C, Stitzel J, Maldjian J, Montillo A. Quantifying the Association between White Matter Integrity Changes and Subconcussive Head Impact Exposure from a Single Season of Youth and High School Football using 3D Convolutional Neural Networks. Proceedings of Spie--the International Society For Optical Engineering. 10575. PMID 31741549 DOI: 10.1117/12.2293023 |
0.153 |
|
2019 |
Nguyen KP, Fatt CC, Treacher A, Mellema C, Trivedi MH, Montillo A. Predicting Response to the Antidepressant Bupropion using Pretreatment fMRI. Predictive Intelligence in Medicine : Second International Workshop, Prime 2019, Held in Conjunction With Miccai 2019, Shenzhen, China, October 13, 2019, Proceedings. Prime (Workshop) (2nd : 2019 : Shenzhen Shi, China). 11843: 53-62. PMID 31709423 DOI: 10.1007/978-3-030-32281-6_6 |
0.14 |
|
2017 |
Saghafi B, Garg P, Wagner BC, Smith SC, Xu J, Madhuranthakam AJ, Jung Y, Divers J, Freedman BI, Maldjian JA, Montillo A. Quantifying the Impact of Type 2 Diabetes on Brain Perfusion Using Deep Neural Networks. Deep Learning in Medical Image Analysis and Multimodal Learning For Clinical Decision Support : Third International Workshop, Dlmia 2017, and 7th International Workshop, Ml-Cds 2017, Held in Conjunction With Miccai 2017 Quebec City, Qc,.... 10553: 151-159. PMID 31650132 DOI: 10.1007/978-3-319-67558-9_18 |
0.139 |
|
2020 |
Mellema CJ, Treacher A, Nguyen KP, Montillo A. Architectural configurations, atlas granularity and functional connectivity with diagnostic value in Autism Spectrum Disorder. Proceedings. Ieee International Symposium On Biomedical Imaging. 2020: 1022-1025. PMID 33767805 DOI: 10.1109/ISBI45749.2020.9098555 |
0.135 |
|
2022 |
Berto S, Treacher AH, Caglayan E, Luo D, Haney JR, Gandal MJ, Geschwind DH, Montillo AA, Konopka G. Association between resting-state functional brain connectivity and gene expression is altered in autism spectrum disorder. Nature Communications. 13: 3328. PMID 35680911 DOI: 10.1038/s41467-022-31053-5 |
0.134 |
|
2020 |
Nguyen S, Polat D, Karbasi P, Moser D, Wang L, Hulsey K, Çobanoğlu MC, Dogan B, Montillo A. Preoperative Prediction of Lymph Node Metastasis from Clinical DCE MRI of the Primary Breast Tumor Using a 4D CNN. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 12262: 326-334. PMID 33768221 DOI: 10.1007/978-3-030-59713-9_32 |
0.134 |
|
2017 |
Murugesan G, Famili A, Davenport E, Wagner B, Urban J, Kelley M, Jones D, Whitlow C, Stitzel J, Maldjian J, Montillo A. Changes in resting state MRI networks from a single season of football distinguishes controls, low, and high head impact exposure. Proceedings. Ieee International Symposium On Biomedical Imaging. 2017: 464-467. PMID 31741701 DOI: 10.1109/ISBI.2017.7950561 |
0.131 |
|
2017 |
Garg P, Davenport E, Murugesan G, Wagner B, Whitlow C, Maldjian J, Montillo A. Using Convolutional Neural Networks to Automatically Detect Eye-Blink Artifacts in Magnetoencephalography Without Resorting to Electrooculography. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 10435: 374-381. PMID 31656959 DOI: 10.1007/978-3-319-66179-7_43 |
0.126 |
|
2022 |
Kalecký K, German DC, Montillo AA, Bottiglieri T. Targeted Metabolomic Analysis in Alzheimer's Disease Plasma and Brain Tissue in Non-Hispanic Whites. Journal of Alzheimer's Disease : Jad. PMID 35253754 DOI: 10.3233/JAD-215448 |
0.124 |
|
2017 |
Famili A, Krishnan G, Davenport E, Germi J, Wagner B, Lega B, Montillo A. Automatic Identification of Successful Memory Encoding in Stereo EEG of Refractory, Mesial Temporal Lobe Epilepsy. Proceedings. Ieee International Symposium On Biomedical Imaging. 2017: 587-590. PMID 31741702 DOI: 10.1109/ISBI.2017.7950589 |
0.123 |
|
2024 |
Mellema CJ, Nguyen KP, Treacher A, Andrade AX, Pouratian N, Sharma VD, O'Suileabhain P, Montillo AA. Longitudinal prognosis of Parkinson's outcomes using causal connectivity. Neuroimage. Clinical. 42: 103571. PMID 38471435 DOI: 10.1016/j.nicl.2024.103571 |
0.12 |
|
2021 |
Nguyen KP, Chin Fatt C, Treacher A, Mellema C, Cooper C, Jha MK, Kurian B, Fava M, McGrath PJ, Weissman M, Phillips ML, Trivedi MH, Montillo AA. Patterns of Pretreatment Reward Task Brain Activation Predict Individual Antidepressant Response: Key Results From the EMBARC Randomized Clinical Trial. Biological Psychiatry. PMID 34916068 DOI: 10.1016/j.biopsych.2021.09.011 |
0.117 |
|
2018 |
Murugesan G, Saghafi B, Davenport E, Wagner B, Urban J, Kelley M, Jones D, Powers A, Whitlow C, Stitzel J, Maldjian J, Montillo A. Single Season Changes in Resting State Network Power and the Connectivity between Regions: Distinguish Head Impact Exposure Level in High School and Youth Football Players. Proceedings of Spie--the International Society For Optical Engineering. 10575. PMID 31787799 DOI: 10.1117/12.2293199 |
0.115 |
|
2019 |
Nguyen KP, Fatt CC, Mellema C, Trivedi MH, Montillo A. Sensitivity of derived clinical biomarkers to rs-fMRI preprocessing software versions. Proceedings. Ieee International Symposium On Biomedical Imaging. 2019: 1581-1584. PMID 31741703 DOI: 10.1109/ISBI.2019.8759526 |
0.113 |
|
2019 |
Nguyen KP, Fatt CC, Mellema C, Trivedi MH, Montillo A. Sensitivity of derived clinical biomarkers to rs-fMRI preprocessing software versions. Proceedings. Ieee International Symposium On Biomedical Imaging. 2019: 1581-1584. PMID 31741703 DOI: 10.1109/ISBI.2019.8759526 |
0.113 |
|
2022 |
Mellema CJ, Nguyen KP, Treacher A, Montillo A. Reproducible neuroimaging features for diagnosis of autism spectrum disorder with machine learning. Scientific Reports. 12: 3057. PMID 35197468 DOI: 10.1038/s41598-022-06459-2 |
0.11 |
|
2020 |
Raval V, Nguyen KP, Gerald A, Dewey RB, Montillo A. Prediction of Individual Progression Rate in Parkinson's Disease Using Clinical Measures and Biomechanical Measures of Gait and Postural Stability. Proceedings of the ... Ieee International Conference On Acoustics, Speech, and Signal Processing. Icassp (Conference). 2020: 1319-1323. PMID 33708010 DOI: 10.1109/icassp40776.2020.9054666 |
0.102 |
|
2023 |
Nguyen KP, Treacher AH, Montillo AA. Adversarially-Regularized Mixed Effects Deep Learning (ARMED) Models Improve Interpretability, Performance, and Generalization on Clustered (non-iid) Data. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 37018678 DOI: 10.1109/TPAMI.2023.3234291 |
0.097 |
|
2014 |
Menze B, Langs G, Montillo A, Kelm M, Müller H, Zhang S, Cai W, Metaxas D. Medical Computer Vision: Algorithms for Big Data: International Workshop, MCV 2014 Held in Conjunction with MICCAI 2014 Cambridge, MA, USA, September 18, 2014 Revised Selected Papers Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8848. DOI: 10.1007/978-3-319-13972-2 |
0.092 |
|
2022 |
Kooner KS, Angirekula A, Treacher AH, Al-Humimat G, Marzban MF, Chen A, Pradhan R, Tunga N, Wang C, Ahuja P, Zuberi H, Montillo AA. Glaucoma Diagnosis Through the Integration of Optical Coherence Tomography/Angiography and Machine Learning Diagnostic Models. Clinical Ophthalmology (Auckland, N.Z.). 16: 2685-2697. PMID 36003072 DOI: 10.2147/OPTH.S367722 |
0.055 |
|
2013 |
Menze BH, Langs G, Lu L, Montillo A, Tu Z, Criminisi A. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7766. |
0.04 |
|
2014 |
Menze B, Langs G, Montillo A, Kelm M, Müller H, Zhang S, Cai W, Metaxas D. Preface Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8848. |
0.01 |
|
Hide low-probability matches. |