Yuankai Huo
Orcid: 0000-0002-2096-8065
According to our database1,
Yuankai Huo
authored at least 190 papers
between 2011 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Medical Image Anal., 2024
CoRR, 2024
CoRR, 2024
Super-Resolution Multi-Contrast Unbiased Eye Atlases With Deep Probabilistic Refinement.
CoRR, 2024
2023
UNesT: Local spatial representation learning with hierarchical transformer for efficient medical segmentation.
Medical Image Anal., December, 2023
IEEE J. Biomed. Health Informatics, September, 2023
IEEE Trans. Biomed. Eng., September, 2023
Body composition assessment with limited field-of-view computed tomography: A semantic image extension perspective.
Medical Image Anal., August, 2023
Enhancing thoracic disease detection using chest X-rays from PubMed Central Open Access.
Comput. Biol. Medicine, June, 2023
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning.
IEEE Trans. Medical Imaging, March, 2023
DeformUX-Net: Exploring a 3D Foundation Backbone for Medical Image Segmentation with Depthwise Deformable Convolution.
CoRR, 2023
Deep conditional generative models for longitudinal single-slice abdominal computed tomography harmonization.
CoRR, 2023
Enhancing Hierarchical Transformers for Whole Brain Segmentation with Intracranial Measurements Integration.
CoRR, 2023
Evaluation Kidney Layer Segmentation on Whole Slide Imaging using Convolutional Neural Networks and Transformers.
CoRR, 2023
Cell Spatial Analysis in Crohn's Disease: Unveiling Local Cell Arrangement Pattern with Graph-based Signatures.
CoRR, 2023
Eosinophils Instance Object Segmentation on Whole Slide Imaging Using Multi-label Circle Representation.
CoRR, 2023
Deep Learning-Based Open Source Toolkit for Eosinophil Detection in Pediatric Eosinophilic Esophagitis.
CoRR, 2023
Spatial Pathomics Toolkit for Quantitative Analysis of Podocyte Nuclei with Histology and Spatial Transcriptomics Data in Renal Pathology.
CoRR, 2023
Leverage Weakly Annotation to Pixel-wise Annotation via Zero-shot Segment Anything Model for Molecular-empowered Learning.
CoRR, 2023
High-performance Data Management for Whole Slide Image Analysis in Digital Pathology.
CoRR, 2023
Multi-scale Multi-site Renal Microvascular Structures Segmentation for Whole Slide Imaging in Renal Pathology.
CoRR, 2023
Feasibility of Universal Anomaly Detection without Knowing the Abnormality in Medical Images.
CoRR, 2023
All-in-SAM: from Weak Annotation to Pixel-wise Nuclei Segmentation with Prompt-based Finetuning.
CoRR, 2023
Robust Fiber ODF Estimation Using Deep Constrained Spherical Deconvolution for Diffusion MRI.
CoRR, 2023
Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered Learning.
CoRR, 2023
An Accelerated Pipeline for Multi-label Renal Pathology Image Segmentation at the Whole Slide Image Level.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging.
CoRR, 2023
CoRR, 2023
A Unified Single-stage Learning Model for Estimating Fiber Orientation Distribution Functions on Heterogeneous Multi-shell Diffusion-weighted MRI.
CoRR, 2023
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Alleviating tiling effect by random walk sliding window in high-resolution histological whole slide image synthesis.
Proceedings of the Medical Imaging with Deep Learning, 2023
A Unified Learning Model for Estimating Fiber Orientation Distribution Functions on Heterogeneous Multi-shell Diffusion-Weighted MRI.
Proceedings of the Computational Diffusion MRI - 14th International Workshop, 2023
M<sup>2</sup>Fusion: Bayesian-Based Multimodal Multi-level Fusion on Colorectal Cancer Microsatellite Instability Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023
Scaling up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-Empowered Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Feasibility of Universal Anomaly Detection Without Knowing the Abnormality in Medical Images.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2023
3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
WearMask: Fast in-browser face mask detection with serverless edge computing for COVID-19.
Proceedings of the High Performance Computing for Imaging 2023, 2023
2022
IEEE Trans. Medical Imaging, 2022
IEEE J. Biomed. Health Informatics, 2022
Workflow Integration of Research AI Tools into a Hospital Radiology Rapid Prototyping Environment.
J. Digit. Imaging, 2022
Integrating the BIDS Neuroimaging Data Format and Workflow Optimization for Large-Scale Medical Image Analysis.
J. Digit. Imaging, 2022
Single Slice Thigh CT Muscle Group Segmentation with Domain Adaptation and Self-Training.
CoRR, 2022
Adaptive Contrastive Learning with Dynamic Correlation for Multi-Phase Organ Segmentation.
CoRR, 2022
Compound Figure Separation of Biomedical Images: Mining Large Datasets for Self-supervised Learning.
CoRR, 2022
CoRR, 2022
Glo-In-One: Holistic Glomerular Detection, Segmentation, and Lesion Characterization with Large-scale Web Image Mining.
CoRR, 2022
Pseudo-Label Guided Multi-Contrast Generalization for Non-Contrast Organ-Aware Segmentation.
CoRR, 2022
Deep Multi-modal Fusion of Image and Non-image Data in Disease Diagnosis and Prognosis: A Review.
CoRR, 2022
Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomics, and Demographic Data.
CoRR, 2022
Holistic Fine-grained GGS Characterization: From Detection to Unbalanced Classification.
CoRR, 2022
Corrigendum to "Acceleration of spleen segmentation with end-to-end deep learning method and automated pipeline" [Comput. Biol. Med. 107 (2019) 109-117].
Comput. Biol. Medicine, 2022
Comput. Biol. Medicine, 2022
Reducing uncertainty in cancer risk estimation for patients with indeterminate pulmonary nodules using an integrated deep learning model.
Comput. Biol. Medicine, 2022
Large-Scale Patch-Wise Pathological Image Feature Dataset with a Hardware-agnostic Feature Extraction Tool.
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022
Extending the value of routine lung screening CT with quantitative body composition assessment.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Evaluating transformer-based semantic segmentation networks for pathological image segmentation.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Integrate memory efficiency methods for self-supervised learning on pathological image analysis.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Supervised deep generation of high-resolution arterial phase computed tomography kidney substructure atlas.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022
Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022
Leverage Supervised and Self-supervised Pretrain Models for Pathological Survival Analysis via a Simple and Low-cost Joint Representation Tuning.
Proceedings of the Resource-Efficient Medical Image Analysis - First MICCAI Workshop, 2022
Cross-Scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images.
Proceedings of the Multiscale Multimodal Medical Imaging - Third International Workshop, 2022
Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomic, and Demographic Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
MxIF Q-score: Biology-Informed Quality Assurance for Multiplexed Immunofluorescence Imaging.
Proceedings of the Medical Optical Imaging and Virtual Microscopy Image Analysis, 2022
Contrastive learning meets transfer learning: a case study in medical image analysis.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
Multi-modal learning with missing data for cancer diagnosis using histopathological and genomic data.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
MAG: A Simple Learning-Based Patient-Level Aggregation Method for Detecting Microsatellite Instability from Whole-Slide Images.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
FedACA: An Adaptive Communication-Efficient Asynchronous Framework for Federated Learning.
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2022
2021
IEEE Trans. Medical Imaging, 2021
Lesion-Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale.
IEEE Trans. Medical Imaging, 2021
Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and tracking.
Medical Image Anal., 2021
Medical Image Anal., 2021
Omni-Seg: A Single Dynamic Network for Multi-label Renal Pathology Image Segmentation using Partially Labeled Data.
CoRR, 2021
Semi-Supervised Contrastive Learning for Remote Sensing: Identifying Ancient Urbanization in the South Central Andes.
CoRR, 2021
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning.
CoRR, 2021
Evaluating Transformer based Semantic Segmentation Networks for Pathological Image Segmentation.
CoRR, 2021
CoRR, 2021
CoRR, 2021
Contrastive Learning Meets Transfer Learning: A Case Study In Medical Image Analysis.
CoRR, 2021
Towards Annotation-free Instance Segmentation and Tracking with Adversarial Simulations.
CoRR, 2021
ASIST: Annotation-free synthetic instance segmentation and tracking by adversarial simulations.
Comput. Biol. Medicine, 2021
Limitation of acyclic oriented graphs matching as cell tracking accuracy measure when evaluating mitosis.
Proceedings of the Medical Imaging 2021: Image Perception, 2021
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Renal cortex, medulla and pelvicaliceal system segmentation on arterial phase CT images with random patch-based networks.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Measure partial liver volumetric variations from paired inspiratory-expiratory chest CT scans.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Improve global glomerulosclerosis classification with imbalanced data using CircleMix augmentation.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Deep multi-path network integrating incomplete biomarker and chest CT data for evaluating lung cancer risk.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
VoxelEmbed: 3D Instance Segmentation and Tracking with Voxel Embedding based Deep Learning.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Liver Tumor Localization and Characterization from Multi-phase MR Volumes Using Key-Slice Prediction: A Physician-Inspired Approach.
Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021
Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
CaCL: Class-Aware Codebook Learning for Weakly Supervised Segmentation on Diffuse Image Patterns.
Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021
From Brain to Body: Learning Low-Frequency Respiration and Cardiac Signals from fMRI Dynamics.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Beds: Bagging Ensemble Deep Segmentation For Nucleus Segmentation With Testing Stage Stain Augmentation.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Rap-Net: Coarse-To-Fine Multi-Organ Segmentation With Single Random Anatomical Prior.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the MICCAI Workshop on Computational Pathology, 2021
2020
Neurocomputing, 2020
Fully-Automated Liver Tumor Localization and Characterization from Multi-Phase MR Volumes Using Key-Slice ROI Parsing: A Physician-Inspired Approach.
CoRR, 2020
ASIST: Annotation-free synthetic instance segmentation and tracking for microscope video analysis.
CoRR, 2020
Faster Mean-shift: GPU-accelerated Embedding-clustering for Cell Segmentation and Tracking.
CoRR, 2020
CoRR, 2020
Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning.
CoRR, 2020
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Validation and optimization of multi-organ segmentation on clinical imaging archives.
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Deep multi-task prediction of lung cancer and cancer-free progression from censored heterogenous clinical imaging.
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Generalizing deep whole brain segmentation for pediatric and post-contrast MRI with augmented transfer learning.
Proceedings of the Medical Imaging 2020: Image Processing, 2020
EasierPath: An Open-Source Tool for Human-in-the-Loop Deep Learning of Renal Pathology.
Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Prediction of Type II Diabetes Onset with Computed Tomography and Electronic Medical Records.
Proceedings of the Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures, 2020
Reliable Liver Fibrosis Assessment from Ultrasound Using Global Hetero-Image Fusion and View-Specific Parameterization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020
A Deep Pattern Recognition Approach for Inferring Respiratory Volume Fluctuations from fMRI Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Co-heterogeneous and Adaptive Segmentation from Multi-source and Multi-phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation.
Proceedings of the Computer Vision - ECCV 2020, 2020
JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-modal Image Alignment of Large-Scale Pathological CT Scans.
Proceedings of the Computer Vision - ECCV 2020, 2020
2019
IEEE Trans. Medical Imaging, 2019
IEEE Trans. Medical Imaging, 2019
Vascular burden and APOE ε4 are associated with white matter microstructural decline in cognitively normal older adults.
NeuroImage, 2019
NeuroImage, 2019
On-the-fly scheduling versus reservation-based scheduling for unpredictable workflows.
Int. J. High Perform. Comput. Appl., 2019
CoRR, 2019
Enabling Multi-Shell b-Value Generalizability of Data-Driven Diffusion Models with Deep SHORE.
CoRR, 2019
Fully Automatic Liver Attenuation Estimation Combing CNN Segmentation and Morphological Operations.
CoRR, 2019
Acceleration of spleen segmentation with end-to-end deep learning method and automated pipeline.
Comput. Biol. Medicine, 2019
Reproducibility evaluation of SLANT whole brain segmentation across clinical magnetic resonance imaging protocols.
Proceedings of the Medical Imaging 2019: Image Processing, 2019
Lung cancer detection using co-learning from chest CT images and clinical demographics.
Proceedings of the Medical Imaging 2019: Image Processing, 2019
Improving splenomegaly segmentation by learning from heterogeneous multi-source labels.
Proceedings of the Medical Imaging 2019: Image Processing, 2019
Harmonizing 1.5T/3T diffusion weighted MRI through development of deep learning stabilized microarchitecture estimators.
Proceedings of the Medical Imaging 2019: Image Processing, 2019
Montage based 3D medical image retrieval from traumatic brain injury cohort using deep convolutional neural network.
Proceedings of the Medical Imaging 2019: Image Processing, 2019
Coronary calcium detection using 3D attention identical dual deep network based on weakly supervised learning.
Proceedings of the Medical Imaging 2019: Image Processing, 2019
Towards machine learning prediction of deep brain stimulation (DBS) intra-operative efficacy maps.
Proceedings of the Medical Imaging 2019: Image Processing, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Enabling Multi-shell b-Value Generalizability of Data-Driven Diffusion Models with Deep SHORE.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2018
Structural Medical Image Analyses using Consistent Volume and Surface Image Processing.
PhD thesis, 2018
Robust Multicontrast MRI Spleen Segmentation for Splenomegaly Using Multi-Atlas Segmentation.
IEEE Trans. Biomed. Eng., 2018
J. Digit. Imaging, 2018
CoRR, 2018
Constructing statistically unbiased cortical surface templates using feature-space covariance.
Proceedings of the Medical Imaging 2018: Image Processing, 2018
Splenomegaly segmentation using global convolutional kernels and conditional generative adversarial networks.
Proceedings of the Medical Imaging 2018: Image Processing, 2018
Improved stability of whole brain surface parcellation with multi-atlas segmentation.
Proceedings of the Medical Imaging 2018: Image Processing, 2018
Proceedings of the Medical Imaging 2018: Image Processing, 2018
Less is More: Simultaneous View Classification and Landmark Detection for Abdominal Ultrasound Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Multi-atlas Parcellation in the Presence of Lesions: Application to Multiple Sclerosis.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2018
Adversarial synthesis learning enables segmentation without target modality ground truth.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
2017
NeuroImage, 2017
A Data Colocation Grid Framework for Big Data Medical Image Processing - Backend Design.
CoRR, 2017
Proceedings of the Medical Imaging 2017: Image Processing, 2017
Multi-atlas segmentation enables robust multi-contrast MRI spleen segmentation for splenomegaly.
Proceedings of the Medical Imaging 2017: Image Processing, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the Patch-Based Techniques in Medical Imaging, 2017
Automated Characterization of Pyelocalyceal Anatomy Using CT Urograms to Aid in Management of Kidney Stones.
Proceedings of the Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures, 2017
Automated Characterization of Body Composition and Frailty with Clinically Acquired CT.
Proceedings of the Computational Methods and Clinical Applications in Musculoskeletal Imaging, 2017
2016
NeuroImage, 2016
Proceedings of the Medical Imaging 2016: Image Processing, 2016
Mapping Lifetime Brain Volumetry with Covariate-Adjusted Restricted Cubic Spline Regression from Cross-Sectional Multi-site MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Predict Two-Dimensional Protein Folding Based on Hydrophobic-Polar Lattice Model and Chaotic Clonal Genetic Algorithm.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016
2015
Medical Image Anal., 2015
2011
J. Comput., 2011