Yuankai Huo

According to our database1, Yuankai Huo authored at least 70 papers between 2011 and 2020.

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Bibliography

2020
Time-distanced gates in long short-term memory networks.
Medical Image Anal., 2020

Multi-path x-D recurrent neural networks for collaborative image classification.
Neurocomputing, 2020

Faster Mean-shift: GPU-accelerated Embedding-clustering for Cell Segmentation and Tracking.
CoRR, 2020

Instance Segmentation for Whole Slide Imaging: End-to-End or Detect-Then-Segment.
CoRR, 2020

Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning.
CoRR, 2020

Map3D: Registration Based Multi-Object Tracking on 3D Serial Whole Slide Images.
CoRR, 2020

CircleNet: Anchor-free Detection with Circle Representation.
CoRR, 2020

Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation.
CoRR, 2020

JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-Modal Image Alignment of Large-scale Pathological CT Scans.
CoRR, 2020

The Value of Nullspace Tuning Using Partial Label Information.
CoRR, 2020

Lesion Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale.
CoRR, 2020

Internal-transfer weighting of multi-task learning for lung cancer detection.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Outlier guided optimization of abdominal segmentation.
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

Contrast phase classification with a generative adversarial network.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Semi-supervised multi-organ segmentation through quality assurance supervision.
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

CircleNet: Anchor-Free Glomerulus Detection with Circle Representation.
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

Semi-supervised Machine Learning with MixMatch and Equivalence Classes.
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

2019
SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth.
IEEE Trans. Medical Imaging, 2019

Splenomegaly Segmentation on Multi-Modal MRI Using Deep Convolutional Networks.
IEEE Trans. Medical Imaging, 2019

Vascular burden and APOE ε4 are associated with white matter microstructural decline in cognitively normal older adults.
NeuroImage, 2019

3D whole brain segmentation using spatially localized atlas network tiles.
NeuroImage, 2019

On-the-fly scheduling versus reservation-based scheduling for unpredictable workflows.
Int. J. High Perform. Comput. Appl., 2019

Stochastic tissue window normalization of deep learning on computed tomography.
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

Cortical Surface Parcellation Using Spherical Convolutional Neural Networks.
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

Learning 3D White Matter Microstructure from 2D Histology.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Robust Multicontrast MRI Spleen Segmentation for Splenomegaly Using Multi-Atlas Segmentation.
IEEE Trans. Biomed. Eng., 2018

Towards Portable Large-Scale Image Processing with High-Performance Computing.
J. Digit. Imaging, 2018

Data-driven Probabilistic Atlases Capture Whole-brain Individual Variation.
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

Fully convolutional neural networks improve abdominal organ segmentation.
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

Technology Enablers for Big Data, Multi-Stage Analysis in Medical Image Processing.
Proceedings of the IEEE International Conference on Big Data, 2018

2017
Neural correlates of familial obesity risk and overweight in adolescence.
NeuroImage, 2017

A Data Colocation Grid Framework for Big Data Medical Image Processing - Backend Design.
CoRR, 2017

Multi-atlas spleen segmentation on CT using adaptive context learning.
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

Gray Matter Surface Based Spatial Statistics (GS-BSS) in Diffusion Microstructure.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

4D Multi-atlas Label Fusion Using Longitudinal Images.
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
Consistent cortical reconstruction and multi-atlas brain segmentation.
NeuroImage, 2016

Combining multi-atlas segmentation with brain surface estimation.
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
Multi-atlas learner fusion: An efficient segmentation approach for large-scale data.
Medical Image Anal., 2015

2011
Multi-channel Diffusion Tensor Image Registration via adaptive chaotic PSO.
J. Comput., 2011


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