Find Research Outputs

Search concepts
Selected Filters
2017

Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features

Bakas, S., Akbari, H., Sotiras, A., Bilello, M., Rozycki, M., Kirby, J. S., Freymann, J. B., Farahani, K. & Davatzikos, C. Sep 5 2017 In : Scientific Data. 4, 170117

Research output: Research - peer-reviewArticle

Atlas
Magnetic Resonance Imaging
Cancer
Genome
Segmentation

Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity

Ciric, R., Wolf, D. H., Power, J. D., Roalf, D. R., Baum, G., Ruparel, K., Shinohara, R. T., Elliott, M. A., Eickhoff, S. B., Davatzikos, C., Gur, R. C., Gur, R. E., Bassett, D. S. & Satterthwaite, T. D. 2017 (Accepted/In press) In : NeuroImage.

Research output: Research - peer-reviewArticle

Benchmarking
Artifacts
Connectome
Outcome Assessment (Health Care)

Common dimensional reward deficits across mood and psychotic disorders: A connectome-wide association study

Sharma, A., Wolf, D. H., Ciric, R., Kable, J. W., Moore, T. M., Vandekar, S. N., Katchmar, N., Daldal, A., Ruparel, K., Davatzikos, C., Elliott, M. A., Calkins, M. E., Shinohara, R. T., Bassett, D. S. & Satterthwaite, T. D. Jul 1 2017 In : American Journal of Psychiatry. 174, 7, p. 657-666 10 p.

Research output: Research - peer-reviewArticle

Connectome
Psychotic Affective Disorders
Reward
Nucleus Accumbens
Anhedonia

Correlations of atrial diameter and frontooccipital horn ratio with ventricle size in fetal ventriculomegaly

Pisapia, J. M., Rozycki, M., Akbari, H., Bakas, S., Thawani, J. P., Moldenhauer, J. S., Storm, P. B., Zarnow, D. M., Davatzikos, C. & Heuer, G. G. Mar 1 2017 In : Journal of neurosurgery. Pediatrics. 19, 3, p. 300-306 7 p.

Research output: Research - peer-reviewArticle

Horns
Gestational Age
Subarachnoid Space
Cerebral Ventricles
Lateral Ventricles

Heterogeneity of neuroanatomical patterns in prodromal Alzheimer's disease: links to cognition, progression and biomarkers

Dong, A., Toledo, J. B., Honnorat, N., Doshi, J., Varol, E., Sotiras, A., Wolk, D., Trojanowski, J. Q., Davatzikos, C. & Alzheimer’s Disease Neuroimaging Initiative Mar 1 2017 In : Brain : a journal of neurology. 140, 3, p. 735-747 13 p.

Research output: Research - peer-reviewArticle

Cognition
Progression
Alzheimer's Disease
Biomarkers
Alzheimer Disease

Improved brain tumor segmentation by utilizing tumor growth model in longitudinal brain MRI

Pei, L., Reza, S. M. S., Li, W., Davatzikos, C. & Iftekharuddin, K. M. 2017 Medical Imaging 2017: Computer-Aided Diagnosis. SPIE, Vol. 10134, 101342L

Research output: ResearchConference contribution

Brain Neoplasms
Brain
Growth
Neoplasms
Magnetic resonance imaging

In vivo detection of EGFRvIII in glioblastoma via perfusion magnetic resonance imaging signature consistent with deep peritumoral infiltration: The φ-index

Bakas, S., Akbari, H., Pisapia, J., Martinez-Lage, M., Rozycki, M., Rathore, S., Dahmane, N., O'Rourke, D. M. & Davatzikos, C. Aug 15 2017 In : Clinical Cancer Research. 23, 16, p. 4724-4734 11 p.

Research output: Research - peer-reviewArticle

Magnetic Resonance Angiography
Glioblastoma
Epidermal Growth Factor Receptor
Perfusion
Neoplasms

Multicenter validation of prostate tumor localization using multiparametric MRI and prior knowledge

Dinh, C. V., Steenbergen, P., Ghobadi, G., van der Poel, H., Heijmink, S. W. T. P. J., de Jong, J., Isebaert, S., Haustermans, K., Lerut, E., Oyen, R., Ou, Y., Christos, D. & van der Heide, U. A. Mar 1 2017 In : Medical physics. 44, 3, p. 949-961 13 p.

Research output: Research - peer-reviewArticle

Prostate
Neoplasms
ROC Curve
Area Under Curve
Atlases

Neurobiological support to the diagnosis of ADHD in stimulant-naïve adults: pattern recognition analyses of MRI data

Chaim-Avancini, T. M., Doshi, J., Zanetti, M. V., Erus, G., Silva, M. A., Duran, F. L. S., Cavallet, M., Serpa, M. H., Caetano, S. C., Louza, M. R., Davatzikos, C. & Busatto, G. F. Dec 1 2017 In : Acta Psychiatrica Scandinavica. 136, 6, p. 623-636 14 p.

Research output: Research - peer-reviewArticle

Attention Deficit Disorder with Hyperactivity
Diffusion Tensor Imaging
Area Under Curve
Suicide
Personality

Pattern recognition of functional brain networks

Fan, Y. & Davatzikos, C. Jun 16 2017 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 6309-6313 5 p. 7953370

Research output: ResearchConference contribution

Pattern recognition
Brain
Biomarkers
Electric network analysis
Magnetic Resonance Imaging

Patterns of coordinated cortical remodeling during adolescence and their associations with functional specialization and evolutionary expansion

Sotiras, A., Toledo, J. B., Gur, R. E., Gur, R. C., Satterthwaite, T. D. & Davatzikos, C. Mar 28 2017 In : Proceedings of the National Academy of Sciences of the United States of America. 114, 13, p. 3527-3532 6 p.

Research output: Research - peer-reviewArticle

Brain
Atlases
Neuroimaging
Multivariate Analysis

Riccati-regularized precision matrices for neuroimaging

Honnorat, N. & Davatzikos, C. 2017 Information Processing in Medical Imaging - 25th International Conference, IPMI 2017, Proceedings. Springer Verlag, Vol. 10265 LNCS, p. 275-286 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10265 LNCS)

Research output: ResearchConference contribution

Neuroimaging
Connectivity
Brain
Graph Connectivity
Random Projection

sGraSP: A graph-based method for the derivation of subject-specific functional parcellations of the brain

Honnorat, N., Satterthwaite, T. D., Gur, R. E., Gur, R. C. & Davatzikos, C. Feb 1 2017 In : Journal of Neuroscience Methods. 277, p. 1-20 20 p.

Research output: Research - peer-reviewArticle

Brain
Population
Magnetic Resonance Imaging

State-dependent microstructural white matter changes in drug-naïve patients with first-episode psychosis

Serpa, M. H., Doshi, J., Erus, G., Chaim-Avancini, T. M., Cavallet, M., Van De Bilt, M. T., Sallet, P. C., Gattaz, W. F., Davatzikos, C., Busatto, G. F. & Zanetti, M. V. Nov 1 2017 In : Psychological Medicine. 47, 15, p. 2613-2627 15 p.

Research output: Research - peer-reviewArticle

Psychotic Disorders
Pharmaceutical Preparations
White Matter
Anisotropy
Diffusion Tensor Imaging

Subject-specific structural parcellations based on randomized AB-divergences

Honnorat, N., Parker, D., Tunç, B., Davatzikos, C. & Verma, R. 2017 Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings. Springer Verlag, Vol. 10433 LNCS, p. 407-415 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10433 LNCS)

Research output: ResearchConference contribution

Divergence
Connectivity
Signature
Brain
Biomarkers

Volumetric analysis from a harmonized multisite brain MRI study of a single subject with multiple sclerosis

Shinohara, R. T. , Oh, J. , Nair, G. , Calabresi, P. A. , Davatzikos, C. , Doshi, J. , Henry, R. G. , Kim, G. , Linn, K. A. , Papinutto, N. , Pelletier, D. , Pham, D. L. , Reich, D. S. , Rooney, W. , Roy, S. , Stern, W. , Tummala, S. , Yousuf, F. , Zhu, A. , Sicotte, N. L. & 1 others Bakshi, R. Aug 1 2017 In : American Journal of Neuroradiology. 38, 8, p. 1501-1509 9 p.

Research output: Research - peer-reviewArticle

Multiple Sclerosis
Brain
Multicenter Studies
Atrophy
Volunteers
2016

Abnormality Detection via Iterative Deformable Registration and Basis-Pursuit Decomposition

Zeng, K., Erus, G., Sotiras, A., Shinohara, R. T. & Davatzikos, C. Aug 1 2016 In : IEEE Transactions on Medical Imaging. 35, 8, p. 1937-1951 15 p., 7426805

Research output: Research - peer-reviewArticle

Decomposition
Learning
Statistical Models
Alzheimer Disease
Databases

Addressing Confounding in Predictive Models with an Application to Neuroimaging

Linn, K. A., Gaonkar, B., Doshi, J., Davatzikos, C. & Shinohara, R. T. May 1 2016 In : International Journal of Biostatistics. 12, 1, p. 31-44 14 p.

Research output: Research - peer-reviewArticle

Neuroimaging
Confounding
Predictive Model
Pattern Analysis
Multivariate Analysis

Advanced brain aging: Relationship with epidemiologic and genetic risk factors, and overlap with Alzheimer disease atrophy patterns

Habes, M., Janowitz, D., Erus, G., Toledo, J. B., Resnick, S. M., Doshi, J., Van Der Auwera, S., Wittfeld, K., Hegenscheid, K., Hosten, N., Biffar, R., Homuth, G., Völzke, H., Grabe, H. J., Hoffmann, W. & Davatzikos, C. Apr 5 2016 In : Translational Psychiatry. 6, e775

Research output: Research - peer-reviewArticle

Atrophy
Alzheimer Disease
Brain
Magnetic Resonance Spectroscopy
Smoking

An Alzheimer's disease-derived biomarker signature identifies Parkinson's disease patients with dementia

Berlyand, Y., Weintraub, D., Xie, S. X., Mellis, I. A., Doshi, J., Rick, J., McBride, J., Davatzikos, C., Shaw, L. M., Hurtig, H., Trojanowski, J. Q. & Chen-Plotkin, A. S. Jan 1 2016 In : PLoS One. 11, 1, e0147319

Research output: Research - peer-reviewArticle

Parkinson Disease
Dementia
Alzheimer Disease
Biomarkers
dementia

A review on neuroimaging-based classification studies and associated feature extraction methods for Alzheimer's disease and its prodromal stages

Rathore, S., Habes, M., Iftikhar, M. A., Shacklett, A. & Davatzikos, C. Aug 23 2016 (Accepted/In press) In : NeuroImage.

Research output: Research - peer-reviewArticle

Prodromal Symptoms
Neuroimaging
Alzheimer Disease
Amyloid
Magnetic Resonance Imaging

Brain and white matter hyperintensity volumes after 10 years of random assignment to lifestyle intervention

Espeland, M. A. , Erickson, K. , Neiberg, R. H. , Jakicic, J. M. , Wadden, T. A. , Wing, R. R. , Desiderio, L. , Erus, G. , Hsieh, M. K. , Davatzikos, C. , Maschak-Carey, B. J. , Laurienti, P. J. , Demos-McDermott, K. , Nick Bryan, R. , Berkowitz, R. I. , Bailey, B. , Bell, Y. , Butler, N. , Carvajal, R. , Davenport, R. & 52 others Diewald, L., Elliott, M., Faulconbridge, L., Fields, B., Huff, K., Jones-Parker, M., Keenan, B., Leonard, S., Li, Q. Y., Reilly, K., Sexton, K., Staley, B., Voluck, M., Wesche-Thobaben, J., Hergenroeder, A., Kurdilla, S., Leckie, R. L., Mancino, J., McGuire, M., Murray, T., Peluso, A., Viszlay, D., Watt, J. C., Egan, C., Demos, K., Annis, K., Busha, R., Damore, C., Dunlap, C., Fanella, L., First, L., Fisher, M., Godbout, S., Goldring, A., Labossiere, A., Bryan, N., Nasrallah., I., Bahnson, J., Casanova, R., Hayasaka, S., Houston, D., Lyday, R., Barnes, J. M., Beckner, T. D., Cook, D., Gordon, M., Hege, D., Hodges, A., Hogan, P., Morgan, A., Pate, G. & Walker, J. May 1 2016 In : Diabetes Care. 39, 5, p. 764-771 8 p.

Research output: Research - peer-reviewArticle

Life Style
Brain
White Matter
Education
Type 2 Diabetes Mellitus

Capturing heterogeneous group differences using mixture-of-experts: Application to a study of aging

Eavani, H., Hsieh, M. K., An, Y., Erus, G., Beason-Held, L., Resnick, S. & Davatzikos, C. Jan 15 2016 In : NeuroImage. 125, p. 498-514 17 p.

Research output: Research - peer-reviewArticle

Baltimore
Nonlinear Dynamics
Longitudinal Studies
Linear Models
Magnetic Resonance Imaging

CHIMERA: Clustering of heterogeneous disease effects via distribution matching of imaging patterns

Dong, A., Honnorat, N., Gaonkar, B. & Davatzikos, C. Feb 1 2016 In : IEEE Transactions on Medical Imaging. 35, 2, p. 612-621 10 p., 2487423

Research output: Research - peer-reviewArticle

Cluster Analysis
Imaging techniques
Population
Brain Diseases
Alzheimer Disease

Computational Neuroanatomy of Schizophrenia

Davatzikos, C. & Koutsouleris, N. Jul 26 2016 The Neurobiology of Schizophrenia. Elsevier Inc., p. 263-282 20 p.

Research output: ResearchChapter

Neuroanatomy
Schizophrenia
Brain
Machine Learning
Temporal Lobe
Neuroanatomy
Multivariate Analysis
Brain
Direction compound
Machine Learning

Control-group feature normalization for multivariate pattern analysis of structural MRI data using the support vector machine

Linn, K. A., Gaonkar, B., Satterthwaite, T. D., Doshi, J., Davatzikos, C. & Shinohara, R. T. May 15 2016 In : NeuroImage. 132, p. 157-166 10 p.

Research output: Research - peer-reviewArticle

Multivariate Analysis
Weights and Measures
Control Groups
Support Vector Machine
Neuroimaging

Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease

Allen, G. I. , Amoroso, N. , Anghel, C. , Balagurusamy, V. , Bare, C. J. , Beaton, D. , Bellotti, R. , Bennett, D. A. , Boehme, K. L. , Boutros, P. C. , Caberlotto, L. , Caloian, C. , Campbell, F. , Chaibub Neto, E. , Chang, Y. C. , Chen, B. , Chen, C. Y. , Chien, T. Y. , Clark, T. , Das, S. & 81 others Davatzikos, C., Deng, J., Dillenberger, D., Dobson, R. J. B., Dong, Q., Doshi, J., Duma, D., Errico, R., Erus, G., Everett, E., Fardo, D. W., Friend, S. H., Fröhlich, H., Gan, J., St George-Hyslop, P., Ghosh, S. S., Glaab, E., Green, R. C., Guan, Y., Hong, M. Y., Huang, C., Hwang, J., Ibrahim, J., Inglese, P., Iyappan, A., Jiang, Q., Katsumata, Y., Kauwe, J. S. K., Klein, A., Kong, D., Krause, R., Lalonde, E., Lauria, M., Lee, E., Lin, X., Liu, Z., Livingstone, J., Logsdon, B. A., Lovestone, S., Ma, T. W., Malhotra, A., Mangravite, L. M., Maxwell, T. J., Merrill, E., Nagorski, J., Namasivayam, A., Narayan, M., Naz, M., Newhouse, S. J., Norman, T. C., Nurtdinov, R. N., Oyang, Y. J., Pawitan, Y., Peng, S., Peters, M. A., Piccolo, S. R., Praveen, P., Priami, C., Sabelnykova, V. Y., Senger, P., Shen, X., Simmons, A., Sotiras, A., Stolovitzky, G., Tangaro, S., Tateo, A., Tung, Y. A., Tustison, N. J., Varol, E., Vradenburg, G., Weiner, M. W., Xiao, G., Xie, L., Xie, Y., Xu, J., Yang, H., Zhan, X., Zhou, Y., Zhu, F., Zhu, H. & Zhu, S. Jun 1 2016 In : Alzheimer's and Dementia. 12, 6, p. 645-653 9 p.

Research output: Research - peer-reviewArticle

Alzheimer Disease
Cognitive Dysfunction
Benchmarking
Meta-Analysis
Early Diagnosis

Development of an Itemwise Efficiency Scoring Method: Concurrent, Convergent, Discriminant, and Neuroimaging-Based Predictive Validity Assessed in a Large Community Sample

Moore, T. M., Reise, S. P., Roalf, D. R., Satterthwaite, T. D., Davatzikos, C., Bilker, W. B., Port, A. M., Jackson, C. T., Ruparel, K., Savitt, A. P., Baron, R. B., Gur, R. E. & Gur, R. C. Feb 11 2016 (Accepted/In press) In : Psychological Assessment.

Research output: Research - peer-reviewArticle

Neuroimaging
Research Design
Efficiency
Aptitude
Reaction Time

Differential Associations of Socioeconomic Status With Global Brain Volumes and White Matter Lesions in African American and White Adults: the HANDLS SCAN Study

Waldstein, S. R., Dore, G. A., Davatzikos, C., Katzel, L. I., Gullapalli, R., Seliger, S. L., Kouo, T., Rosenberger, W. F., Erus, G., Evans, M. K. & Zonderman, A. B. Nov 1 2016 (Accepted/In press) In : Psychosomatic Medicine.

Research output: Research - peer-reviewArticle

Social Class
African Americans
Brain
White Matter
Socioeconomic Status

Effects of hormone therapy on brain volumes changes of postmenopausal women revealed by optimally-discriminative voxel-based morphometry

Zhang, T., Casanova, R., Resnick, S. M., Manson, J. A. E., Baker, L. D., Padual, C. B., Kuller, L. H., Bryan, R. N., Espeland, M. A. & Davatzikos, C. Mar 1 2016 In : PLoS One. 11, 3, e0150834

Research output: Research - peer-reviewArticle

morphometry
hormones
brain
therapeutics
Hormones

GLISTRboost: Combining multimodal MRI segmentation, registration, and biophysical tumor growth modeling with gradient boosting machines for glioma segmentation

Bakas, S., Zeng, K., Sotiras, A., Rathore, S., Akbari, H., Gaonkar, B., Rozycki, M., Pati, S. & Davatzikos, C. 2016 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, Vol. 9556, p. 144-155 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9556)

Research output: ResearchConference contribution

Tumor Growth
Boosting
Registration
Tumor
Segmentation

HYDRA: Revealing heterogeneity of imaging and genetic patterns through a multiple max-margin discriminative analysis framework

Varol, E., Sotiras, A. & Davatzikos, C. 2016 (Accepted/In press) In : NeuroImage.

Research output: Research - peer-reviewArticle

Genetic Heterogeneity
Atrophy
Datasets
Parietal Lobe
Temporal Lobe

Imaging genomics in cancer research: Limitations and promises

Bai, H. X., Lee, A. M., Yang, L., Zhang, P., Davatzikos, C., Maris, J. M. & Diskin, S. J. 2016 In : British Journal of Radiology. 89, 1061, 20151030

Research output: Research - peer-reviewReview article

Genomics
Gene Expression
Research
Neoplasms
Direction compound

Imaging patterns predict patient survival and molecular subtype in glioblastoma via machine learning techniques

Macyszyn, L., Akbari, H., Pisapia, J. M., Da, X., Attiah, M., Pigrish, V., Bi, Y., Pal, S., Davuluri, R. V., Roccograndi, L., Dahmane, N., Martinez-Lage, M., Biros, G., Wolf, R. L., Bilello, M., O'Rourke, D. M. & Davatzikos, C. Mar 1 2016 In : Neuro-Oncology. 18, 3, p. 417-425 9 p.

Research output: Research - peer-reviewArticle

Glioblastoma
Survival
Machine Learning
Biomarkers
Blood-Brain Barrier

Imaging surrogates of infiltration obtained via multiparametric imaging pattern analysis predict subsequent location of recurrence of glioblastoma

Akbari, H., Macyszyn, L., Da, X., Bilello, M., Wolf, R. L., Martinez-Lage, M., Biros, G., Alonso-Basanta, M., O'Rourke, D. M. & Davatzikos, C. Apr 1 2016 In : Neurosurgery. 78, 4, p. 572-580 9 p.

Research output: Research - peer-reviewArticle

Glioblastoma
Recurrence
Neoplasms
Magnetic Resonance Spectroscopy
Biomarkers

Machine learning as a means toward precision diagnostics and prognostics

Sotiras, A., Gaonkar, B., Eavani, H., Honnorat, N., Varol, E., Dong, A. & Davatzikos, C. Aug 9 2016 Machine Learning and Medical Imaging. Elsevier Inc., p. 299-334 36 p.

Research output: ResearchChapter

Learning systems
Medical imaging
Biomarkers
Medicine
Feature extraction

MUSE: MUlti-atlas region Segmentation utilizing Ensembles of registration algorithms and parameters, and locally optimal atlas selection

Doshi, J., Erus, G., Ou, Y., Resnick, S. M., Gur, R. C., Gur, R. E., Satterthwaite, T. D., Furth, S. & Davatzikos, C. Feb 15 2016 In : NeuroImage. 127, p. 186-195 10 p.

Research output: Research - peer-reviewArticle

Atlases
Datasets
Benchmarking
Software

Nuquantus: Machine learning software for the characterization and quantification of cell nuclei in complex immunofluorescent tissue images

Gross, P., Honnorat, N., Varol, E., Wallner, M., Trappanese, D. M., Sharp, T. E., Starosta, T., Duran, J. M., Koller, S., Davatzikos, C. & Houser, S. R. Mar 23 2016 In : Scientific Reports. 6, 23431

Research output: Research - peer-reviewArticle

Cell Nucleus
Software
Machine Learning
Pathologic Processes
Cardiac Myocytes

Peripheral sphingolipids are associated with variation in white matter microstructure in older adults

Gonzalez, C. E., Venkatraman, V. K., An, Y., Landman, B. A., Davatzikos, C., Ratnam Bandaru, V. V., Haughey, N. J., Ferrucci, L., Mielke, M. M. & Resnick, S. M. Jul 1 2016 In : Neurobiology of Aging. 43, p. 156-163 8 p.

Research output: Research - peer-reviewArticle

Sphingolipids
White Matter
Sphingomyelins
Anisotropy
Ceramides

Population-based MRI atlases of spatial distribution are specific to patient and tumor characteristics in glioblastoma

Bilello, M., Akbari, H., Da, X., Pisapia, J. M., Mohan, S., Wolf, R. L., O'Rourke, D. M., Martinez-Lage, M. & Davatzikos, C. 2016 In : NeuroImage: Clinical. 12, p. 34-40 7 p.

Research output: Research - peer-reviewArticle

Atlases
Glioblastoma
Population
Neoplasms
Demography

Relationship between APOE genotype and structural MRI measures throughout adulthood in the study of health in pomerania population-based cohort

Habes, M., Toledo, J. B., Resnick, S. M., Doshi, J., Van Der Auwera, S., Erus, G., Janowitz, D., Hegenscheid, K., Homuth, G., Volzke, H., Hoffmann, W., Grabe, H. J. & Davatzikos, C. Sep 1 2016 In : American Journal of Neuroradiology. 37, 9, p. 1636-1642 7 p.

Research output: Research - peer-reviewArticle

Apolipoproteins E
Genotype
Health
Population
Atrophy

Segmentation of gliomas in pre-operative and post-operative multimodal magnetic resonance imaging volumes based on a hybrid generative-discriminative framework

Zeng, K., Bakas, S., Sotiras, A., Akbari, H., Rozycki, M., Rathore, S., Pati, S. & Davatzikos, C. 2016 Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Second International Workshop, BrainLes 2016, with the Challenges on BRATS, ISLES and mTOP 2016 Held in Conjunction with MICCAI 2016, Revised Selected Papers. Springer Verlag, Vol. 10154 LNCS, p. 184-194 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10154 LNCS)

Research output: ResearchConference contribution

Magnetic Resonance Imaging
Segmentation
Framework
Magnetic resonance
Tumors

Structural brain abnormalities in youth with psychosis spectrum symptoms

Satterthwaite, T. D., Wolf, D. H., Calkins, M. E., Vandekar, S. N., Erus, G., Ruparel, K., Roalf, D. R., Linn, K. A., Elliott, M. A., Moore, T. M., Hakonarson, H., Shinohara, R. T., Davatzikos, C., Gur, R. C. & Gur, R. E. May 1 2016 In : JAMA Psychiatry. 73, 5, p. 515-524 10 p.

Research output: Research - peer-reviewArticle

Psychotic Disorders
Brain
Temporal Lobe
Neuroimaging
Gray Matter

Structured outlier detection in neuroimaging studies with minimal convex polytopes

Varol, E., Sotiras, A. & Davatzikos, C. 2016 Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Springer Verlag, Vol. 9900 LNCS, p. 300-307 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9900 LNCS)

Research output: ResearchConference contribution

Neuroimaging
Convex Polytopes
Outlier Detection
Deviation
Alzheimer's Disease

White matter hyperintensities and imaging patterns of brain ageing in the general population

Habes, M., Erus, G., Toledo, J. B., Zhang, T., Bryan, N., Launer, L. J., Rosseel, Y., Janowitz, D., Doshi, J., Van Der Auwera, S., Von Sarnowski, B., Hegenscheid, K., Hosten, N., Homuth, G., Völzke, H., Schminke, U., Hoffmann, W., Grabe, H. J. & Davatzikos, C. Apr 1 2016 In : Brain. 139, 4, p. 1164-1179 16 p.

Research output: Research - peer-reviewArticle

Neuroimaging
Population
White Matter
Atrophy
Alzheimer Disease

White matter hyperintensities are more highly associated with preclinical Alzheimer's disease than imaging and cognitive markers of neurodegeneration

Kandel, B. M., Avants, B. B., Gee, J. C., McMillan, C. T., Erus, G., Doshi, J., Davatzikos, C. & Wolk, D. A. 2016 In : Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring. 4, p. 18-27 10 p.

Research output: Research - peer-reviewArticle

Alzheimer Disease
White Matter
Biomarkers
Neuroimaging
Cerebrovascular Disorders
2015

A Bayesian approach to sparse model selection in statistical shape models

Gooya, A., Davatzikos, C. & Frangi, A. F. Apr 21 2015 In : SIAM Journal on Imaging Sciences. 8, 2, p. 858-887 30 p., A003

Research output: Research - peer-reviewArticle

Bayesian Approach
Model Selection
Model
Expectation Maximization
Registration

A low cost approach for brain tumor segmentation based on intensity modeling and 3D Random Walker

Kanas, V. G., Zacharaki, E. I., Davatzikos, C., Sgarbas, K. N. & Megalooikonomou, V. Jul 13 2015 In : Biomedical Signal Processing and Control. 22, p. 19-30 12 p., 698

Research output: Research - peer-reviewArticle

Tumors
Brain
Tissue
Costs
Brain Neoplasms

A robust energy minimization algorithm for MS-lesion segmentation

Gong, Z., Zhao, D., Li, C., Tan, W. & Davatzikos, C. 2015 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, Vol. 9474, p. 521-530 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9474)

Research output: ResearchConference contribution

Energy Minimization
Segmentation
Neuroimaging
Physical properties
Tissue