Davatzikos, Christos

Suspected non-AD pathology in mild cognitive impairment

Wisse, L. E. M., Butala, N., Das, S. R., Davatzikos, C., Dickerson, B. C., Vaishnavi, S. N., Yushkevich, P. A., & Wolk, D. A. (2015) · Neurobiology of Aging

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 78

CSF Apo-E levels associate with cognitive decline and MRI changes

Initiative, F. T. A. D. N., Toledo, J. B., Da, X., Weiner, M. W., Wolk, D. A., Xie, S. X., Arnold, S. E., Davatzikos, C., Shaw, L. M., & Trojanowski, J. Q. (2014) · Acta Neuropathologica

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 71

The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up

Marinescu, R. V., Oxtoby, N. P., Young, A. L., Bron, E. E., Toga, A. W., Weiner, M. W., Barkhof, F., Fox, N. C., Eshaghi, A., Toni, T., et al. (2021) · Machine Learning for Biomedical Imaging

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 68

Brain Cancer Imaging Phenomics Toolkit (brain-CaPTk): An Interactive Platform for Quantitative Analysis of Glioblastoma

Rathore, S., Bakas, S., Pati, S., Akbari, H., Kalarot, R., Sridharan, P., Rozycki, M., Bergman, M., Tunc, B., Verma, R., et al. (2018) · Lecture Notes in Computer Science

Radiomics and Machine Learning in Medical ImagingBrain Tumor Detection and Classification

Cited by 57

Automated tumor segmentation and brain tissue extraction from multiparametric MRI of pediatric brain tumors: A multi-institutional study

Fathi Kazerooni, A., Arif, S., Madhogarhia, R., Khalili, N., Haldar, D., Bagheri, S., Familiar, A. M., Anderson, H., Haldar, S., Tu, W., et al. (2023) · Neuro-Oncology Advances

Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques

Cited by 55

The federated tumor segmentation (FeTS) tool: an open-source solution to further solid tumor research

Pati, S., Baid, U., Edwards, B., Sheller, M. J., Foley, P., Anthony Reina, G., Thakur, S., Sako, C., Bilello, M., Davatzikos, C., et al. (2022) · Physics in Medicine & Biology

Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques

Cited by 51

A comparison of Freesurfer and multi-atlas MUSE for brain anatomy segmentation: Findings about size and age bias, and inter-scanner stability in multi-site aging studies

Srinivasan, D., Erus, G., Doshi, J., Wolk, D. A., Shou, H., Habes, M., & Davatzikos, C. (2020) · NeuroImage

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 45

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., Völzke, H., et al. (2016) · American Journal of Neuroradiology

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 44

Cancer Imaging Phenomics via CaPTk: Multi-Institutional Prediction of Progression-Free Survival and Pattern of Recurrence in Glioblastoma

Fathi Kazerooni, A., Akbari, H., Shukla, G., Badve, C., Rudie, J. D., Sako, C., Rathore, S., Bakas, S., Pati, S., Singh, A., et al. (2020) · JCO Clinical Cancer Informatics

Radiomics and Machine Learning in Medical ImagingGlioma Diagnosis and Treatment

Cited by 39

Artificial Intelligence for Response Assessment in Neuro Oncology (AI-RANO), part 2: recommendations for standardisation, validation, and good clinical practice

Bakas, S., Vollmuth, P., Galldiks, N., Booth, T. C., Aerts, H. J. W. L., Bi, W. L., Wiestler, B., Tiwari, P., Pati, S., Baid, U., et al. (2024) · The Lancet Oncology

Artificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical Imaging

Cited by 36

T1rho MRI and CSF biomarkers in diagnosis of Alzheimer's disease

Haris, M., Yadav, S. K., Rizwan, A., Singh, A., Cai, K., Kaura, D., Wang, E., Davatzikos, C., Trojanowski, J. Q., Melhem, E. R., et al. (2015) · NeuroImage: Clinical

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 33

T1ρ MRI in Alzheimer's Disease: Detection of Pathological Changes in Medial Temporal Lobe

Haris, M., Singh, A., Cai, K., McArdle, E., Fenty, M., Davatzikos, C., Trojanowski, J. Q., Melhem, E. R., Clark, C. M., & Borthakur, A. (2011) · Journal of Neuroimaging

Dementia and Cognitive Impairment ResearchAdvanced MRI Techniques and Applications

Cited by 29

Genetic and clinical correlates of AI-based brain aging patterns in cognitively unimpaired individuals

Skampardoni, I., Nasrallah, I. M., Abdulkadir, A., Wen, J., Melhem, R., Mamourian, E., Erus, G., Doshi, J., Singh, A., Yang, Z., et al. (2024) · JAMA Psychiatry

Dementia and Cognitive Impairment ResearchFunctional Brain Connectivity Studies

Cited by 28

Herpes Viruses in the Baltimore Longitudinal Study of Aging: Associations With Brain Volumes, Cognitive Performance, and Plasma Biomarkers

Duggan, M. R., Peng, Z., An, Y., Kitner Triolo, M. H., Shafer, A. T., Davatzikos, C., Erus, G., Karikkineth, A., Lewis, A., Moghekar, A., et al. (2022) · Neurology

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 24

Effect of Hypoglycemia on Brain Structure in People With Type 2 Diabetes: Epidemiological Analysis of the ACCORD-MIND MRI Trial

Zhang, Z., Lovato, J., Battapady, H., Davatzikos, C., Gerstein, H. C., Ismail-Beigi, F., Launer, L. J., Murray, A., Punthakee, Z., Tirado, A. A., et al. (2014) · Diabetes Care

Diabetes Management and ResearchDementia and Cognitive Impairment Research

Cited by 20

P4‐101: BRAIN AGING HETEROGENEITY ELUCIDATED VIA MACHINE LEARNING: THE MULTI‐SITE ISTAGING DIMENSIONAL NEUROIMAGING REFERENCE SYSTEM

Davatzikos, C., & iSTAGING Consortium (2018) · Alzheimer's & Dementia

Dementia and Cognitive Impairment ResearchFunctional Brain Connectivity Studies

Cited by 2