Huo, Yuankai

3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation

Lee, H. H., Bao, S., Huo, Y., & Landman, B. A. (2022) · arXiv

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 225

Cross-scale multi-instance learning for pathological image diagnosis

Deng, R., Cui, C., Remedios, L. W., Bao, S., Womick, R. M., Chiron, S., Li, J., Roland, J. T., Lau, K. S., Liu, Q., et al. (2024) · Medical Image Analysis

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 95

White matter abnormalities and cognition in aging and Alzheimer disease

Peter, C., Sathe, A., Shashikumar, N., Pechman, K. R., Workmeister, A. W., Jackson, T. B., Huo, Y., Mukherjee, S., Mez, J., Dumitrescu, L. C., et al. (2025) · JAMA Neurology

Dementia and Cognitive Impairment ResearchAdvanced Neuroimaging Techniques and Applications

Cited by 59

Prenatal and postnatal maternal anxiety and amygdala structure and function in young children

Donnici, C., Long, X., Dewey, D., Letourneau, N., Landman, B., Huo, Y., & Lebel, C. (2021) · Scientific Reports

Maternal Mental Health During Pregnancy and PostpartumChild and Adolescent Psychosocial and Emotional Development

Cited by 54

Reward-based spatial learning in unmedicated adults with obsessive-compulsive disorder

Marsh, R., Tau, G. Z., Wang, Z., Huo, Y., Liu, G., Hao, X., Packard, M. G., Peterson, B. S., & Simpson, H. B. (2015) · American Journal of Psychiatry

Obsessive-Compulsive Spectrum DisordersNeural and Behavioral Psychology Studies

Cited by 53

SimTriplet: Simple Triplet Representation Learning with a Single GPU

Liu, Q., Louis, P. C., Lu, Y., Jha, A., Zhao, M., Deng, R., Yao, T., Roland, J. T., Yang, H., Zhao, S., et al. (2021) · Lecture Notes in Computer Science

Domain Adaptation and Few-Shot LearningAI in cancer detection

Cited by 38

Coronary calcium detection using 3D attention identical dual deep network based on weakly supervised learning

Huo, Y., Terry, J. G., Wang, J., Nath, V., Bermudez, C., Bao, S., Parvathaneni, P., Carr, J. J., & Landman, B. A. (2019) · Medical Imaging 2019: Image Processing

Cardiac Imaging and DiagnosticsCOVID-19 diagnosis using AI

Cited by 22

Default mode network connectivity and cognition in the aging brain: the effects of age, sex, and APOE genotype.

Shafer, A. T., Beason-Held, L., An, Y., Williams, O. A., Huo, Y., Landman, B. A., Caffo, B. S., & Resnick, S. M. (2021) · Neurobiology of Aging

Functional Brain Connectivity StudiesDementia and Cognitive Impairment Research

Cited by 16

DeepAndes: A Self-Supervised Vision Foundation Model for Multi-Spectral Remote Sensing Imagery of the Andes

Guo, J., Zimmer-Dauphinee, J. R., Nieusma, J. M., Lu, S., Liu, Q., Deng, R., Cui, C., Yue, J., Lin, Y., Yao, T., et al. (2025) · arXiv

Remote-Sensing Image ClassificationAdvanced Neural Network Applications

Cited by 7

Communication-efficient federated learning for multi-institutional medical image classification

Zhou, S., Landman, B., Huo, Y., & Gokhale, A. (2022) · Medical Imaging 2022: Imaging Informatics for Healthcare, Research, and Applications

Privacy-Preserving Technologies in DataDomain Adaptation and Few-Shot Learning

Cited by 7