Kolachalama, Vijaya B.

Development and validation of an interpretable deep learning framework for Alzheimer’s disease classification

Qiu, S., Joshi, P. S., Miller, M. I., Xue, C., Zhou, X., Karjadi, C., Chang, G. H., Joshi, A. S., Dwyer, B., Zhu, S., et al. (2020) · Brain

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 472

Multimodal deep learning for Alzheimer's disease dementia assessment

Qiu, S., Miller, M. I., Joshi, P. S., Lee, J. C., Xue, C., Ni, Y., Wang, Y., De Anda-Duran, I., Hwang, P. H., Cramer, J. A., et al. (2022) · Nature Communications

Dementia and Cognitive Impairment ResearchArtificial Intelligence in Healthcare

Cited by 420

Machine learning and medical education

Kolachalama, V. B., & Garg, P. S. (2018) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationInnovations in Medical Education

Cited by 320

A Graph-Transformer for Whole Slide Image Classification

Zheng, Y., Gindra, R. H., Green, E. J., Burks, E. J., Betke, M., Beane, J. E., & Kolachalama, V. B. (2022) · IEEE Transactions on Medical Imaging

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 255

AI-based differential diagnosis of dementia etiologies on multimodal data

Xue, C., Kowshik, S. S., Lteif, D., Puducheri, S., Jasodanand, V. H., Zhou, O. T., Walia, A. S., Guney, O. B., Zhang, J. D., Poésy, S., et al. (2024) · Nature Medicine

Dementia and Cognitive Impairment ResearchArtificial Intelligence in Healthcare

Cited by 182

Fusion of deep learning models of MRI scans, Mini–Mental State Examination, and logical memory test enhances diagnosis of mild cognitive impairment

Qiu, S., Chang, G. H., Panagia, M., Gopal, D. M., Au, R., & Kolachalama, V. B. (2018) · Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring

Dementia and Cognitive Impairment ResearchArtificial Intelligence in Healthcare

Cited by 110

Automated detection of mild cognitive impairment and dementia from voice recordings: A natural language processing approach

Amini, S., Hao, B., Zhang, L., Song, M., Gupta, A., Karjadi, C., Kolachalama, V. B., Au, R., & Paschalidis, I. C. (2023) · Alzheimer's & Dementia

Dementia and Cognitive Impairment ResearchArtificial Intelligence in Healthcare

Cited by 76

Graph attention-based fusion of pathology images and gene expression for prediction of cancer survival

Zheng, Y., Conrad, R. D., Green, E. J., Burks, E. J., Betke, M., Beane, J. E., & Kolachalama, V. B. (2024) · IEEE Transactions on Medical Imaging

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 44

Assessment of the mid-life demographic and lifestyle risk factors of dementia using data from the framingham heart study offspring cohort

Li, J., Ogrodnik, M., Kolachalama, V. B., Lin, H., & Au, R. (2018) · Journal of Alzheimer's Disease

Dementia and Cognitive Impairment ResearchArtificial Intelligence in Healthcare

Cited by 36