Shen, Dinggang

Hierarchical active shape models, using the wavelet transform

Davatzikos, C., Tao, X., & Shen, D. (2003) · IEEE Transactions on Medical Imaging

Medical Image Segmentation Techniques3D Shape Modeling and Analysis

Cited by 215

Multi-Channel 3D Deep Feature Learning for Survival Time Prediction of Brain Tumor Patients Using Multi-Modal Neuroimages

Nie, D., Lu, J., Zhang, H., Adeli, E., Wang, J., Yu, Z., Liu, L., Wang, Q., Wu, J., & Shen, D. (2019) · Scientific Reports

Radiomics and Machine Learning in Medical ImagingGlioma Diagnosis and Treatment

Cited by 213

Modeling Rett Syndrome Using TALEN-Edited MECP2 Mutant Cynomolgus Monkeys

Chen, Y., Yu, J., Niu, Y., Qin, D., Liu, H., Li, G., Hu, Y., Wang, J., Lu, Y., Kang, Y., et al. (2017) · Cell

Genetics and Neurodevelopmental DisordersRNA regulation and disease

Cited by 204

A novel matrix-similarity based loss function for joint regression and classification in ad diagnosis

Zhu, X., Suk, H.-I., & Shen, D. (2014) · NeuroImage

Dementia and Cognitive Impairment ResearchFunctional Brain Connectivity Studies

Cited by 202

The Synchronization within and Interaction between the Default and Dorsal Attention Networks in Early Infancy

Gao, W., Gilmore, J. H., Shen, D., Smith, J. K., Zhu, H., & Lin, W. (2013) · Cerebral Cortex

Functional Brain Connectivity StudiesNeural dynamics and brain function

Cited by 194

Detecting Anatomical Landmarks From Limited Medical Imaging Data Using Two-Stage Task-Oriented Deep Neural Networks

Zhang, J., Liu, M., & Shen, D. (2017) · IEEE Transactions on Image Processing

Medical Imaging and AnalysisMedical Image Segmentation Techniques

Cited by 192

Development Trends of White Matter Connectivity in the First Years of Life

Yap, P.-T., Fan, Y., Chen, Y., Gilmore, J. H., Lin, W., & Shen, D. (2011) · PLoS ONE

Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and Applications

Cited by 190

Deep Adversarial Learning for Multi-Modality Missing Data Completion

Cai, L., Wang, Z., Gao, H., Shen, D., & Ji, S. (2018) · Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Generative Adversarial Networks and Image SynthesisMedical Imaging Techniques and Applications

Cited by 180

Structural and Maturational Covariance in Early Childhood Brain Development

Geng, X., Li, G., Lu, Z., Gao, W., Wang, L., Shen, D., Zhu, H., & Gilmore, J. H. (2016) · Cerebral Cortex

Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and Applications

Cited by 175

Spatial Patterns, Longitudinal Development, and Hemispheric Asymmetries of Cortical Thickness in Infants from Birth to 2 Years of Age

Li, G., Lin, W., Gilmore, J. H., & Shen, D. (2015) · Journal of Neuroscience

Fetal and Pediatric Neurological DisordersAdvanced Neuroimaging Techniques and Applications

Cited by 164

Hippocampus Volume Loss Due to Chronic Heavy Drinking

Beresford, T. P., Arciniegas, D. B., Alfers, J., Clapp, L., Martin, B., Du, Y., Liu, D., Shen, D., & Davatzikos, C. (2006) · Alcoholism: Clinical and Experimental Research

Alcoholism and Thiamine DeficiencySubstance Abuse Treatment and Outcomes

Cited by 158

Prompt Engineering for Healthcare: Methodologies and Applications

Wang, J., Shi, E., Yu, S., Wu, Z., Ma, C., Dai, H., Yang, Q., Kang, Y., Wu, J., Hu, H., et al. (2023) · arXiv

Topic ModelingArtificial Intelligence in Healthcare and Education

Cited by 150

Unsupervised Deep Feature Learning for Deformable Registration of MR Brain Images

Wu, G., Kim, M., Wang, Q., Gao, Y., Liao, S., & Shen, D. (2013) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesAdvanced Image and Video Retrieval Techniques

Cited by 149

Deep Learning Based Inter-modality Image Registration Supervised by Intra-modality Similarity

Cao, X., Yang, J., Wang, L., Xue, Z., Wang, Q., & Shen, D. (2018) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesDomain Adaptation and Few-Shot Learning

Cited by 123

Incomplete multi-modal representation learning for Alzheimer’s disease diagnosis

Liu, Y., Fan, L., Zhang, C., Zhou, T., Xiao, Z., Geng, L., & Shen, D. (2021) · Medical Image Analysis

Dementia and Cognitive Impairment ResearchMultimodal Machine Learning Applications

Cited by 102

Label-aligned multi-task feature learning for multimodal classification of alzheimer’s disease and mild cognitive impairment

Initiative, T. A. D. N., Zu, C., Jie, B., Liu, M., Chen, S., Shen, D., & Zhang, D. (2016) · Brain Imaging and Behavior

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 95

Diagnosis of autism spectrum disorders using regional and interregional morphological features: Diagnosis of ASD Using Morphological Features

Wee, C.-Y., Wang, L., Shi, F., Yap, P.-T., & Shen, D. (2014) · Human Brain Mapping

Autism Spectrum Disorder ResearchFunctional Brain Connectivity Studies

Cited by 89

Conversion and time-to-conversion predictions of mild cognitive impairment using low-rank affinity pursuit denoising and matrix completion

Thung, K.-H., Yap, P.-T., Adeli, E., Lee, S.-W., & Shen, D. (2018) · Medical Image Analysis

Dementia and Cognitive Impairment ResearchArtificial Intelligence in Healthcare

Cited by 89

DoctorGLM: Fine-tuning your Chinese Doctor is not a Herculean Task

Xiong, H., Wang, S., Zhu, Y., Zhao, Z., Liu, Y., Huang, L., Wang, Q., & Shen, D. (2023) · arXiv

Artificial Intelligence in Healthcare and EducationSpeech and dialogue systems

Cited by 81

A review of deep learning-based three-dimensional medical image registration methods

Xiao, H., Teng, X., Liu, C., Li, T., Ren, G., Yang, R., Shen, D., & Cai, J. (2021) · Quantitative Imaging in Medicine and Surgery

Medical Image Segmentation TechniquesAdvanced Radiotherapy Techniques

Cited by 77

Altered brain network modules induce helplessness in major depressive disorder

Peng, D., Shi, F., Shen, T., Peng, Z., Zhang, C., Liu, X., Qiu, M., Liu, J., Jiang, K., Fang, Y., et al. (2014) · Journal of Affective Disorders

Functional Brain Connectivity StudiesMental Health Research Topics

Cited by 76

Automated quantification of cerebral edema following hemispheric infarction: application of a machine-learning algorithm to evaluate CSF shifts on serial head CTs

Chen, Y., Dhar, R., Heitsch, L., Ford, A., Fernandez-Cadenas, I., Carrera, C., Montaner, J., Lin, W., Shen, D., An, H., et al. (2016) · NeuroImage: Clinical

Medical Image Segmentation TechniquesAcute Ischemic Stroke Management

Cited by 74

Development of cortical anatomical properties from early childhood to early adulthood

Nie, J., Li, G., & Shen, D. (2013) · NeuroImage

Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and Applications

Cited by 70

Multi-stage Diagnosis of Alzheimer’s Disease with Incomplete Multimodal Data via Multi-task Deep Learning

Thung, K.-H., Yap, P.-T., & Shen, D. (2017) · Lecture Notes in Computer Science

Dementia and Cognitive Impairment ResearchArtificial Intelligence in Healthcare

Cited by 63