S. Bao

发表

A cross-center smoothness prior for variational Bayesian brain tissue segmentation

J. C. Gee, J. Gee, P. Yushkevich, 2019 .

Model-Predictive Controllers for Performance Management of Composable Conveyor System

S. Abdelwahed, S. Bao, A. Gokhale, 2015 .

Strategies for Improving Latency and Throughput of the Apache Hadoop Ecosystem for Medical Imaging Data

A. Gokhale, B. Landman, S. Bao, 2016 .

Montage based 3D Medical Image Retrieval from Traumatic Brain Injury Cohort using Deep Convolutional Neural Network

Shunxing Bao, Yuankai Huo, Bennett A. Landman, 2018, Medical Imaging: Image Processing.

Body Part Regression With Self-Supervision

Shunxing Bao, Camilo Bermudez, Yuankai Huo, 2021, IEEE Transactions on Medical Imaging.

Pseudo-Label Guided Multi-Contrast Generalization for Non-Contrast Organ-Aware Segmentation

Ho Hin Lee, Yuankai Huo, J. Carr, 2022, 2205.05898.

Enablers for Big Data , Multi-Stage Analysis in Medical Image Processing

Yogesh D. Barve, A. Gokhale, D. Zald, 2018 .

Multi-modal learning with missing data for cancer diagnosis using histopathological and genomic data

Lori A. Coburn, B. Landman, Yuankai Huo, 2022, Medical Imaging.

Inpainting missing tissue in multiplexed immunofluorescence imaging

Ho Hin Lee, Lori A. Coburn, Yuankai Huo, 2022, Medical Imaging.

Integrating the BIDS Neuroimaging Data Format and Workflow Optimization for Large-Scale Medical Image Analysis

D. Zald, B. Boyd, Ilwoo Lyu, 2022, Journal of Digital Imaging.

UNesT: Local Spatial Representation Learning with Hierarchical Transformer for Efficient Medical Segmentation

Leon Y. Cai, Ho Hin Lee, T. Lasko, 2022, Medical Image Anal..

Attention-Guided Supervised Contrastive Learning for Semantic Segmentation pdf

Xin Yu, Shunxing Bao, Yuankai Huo, 2021, ArXiv.

Workflow Integration of Research AI Tools into a Hospital Radiology Rapid Prototyping Environment

Melissa A. Basford, James G Terry, Ho Hin Lee, 2022, Journal of Digital Imaging.

FedACA: An Adaptive Communication-Efficient Asynchronous Framework for Federated Learning

A. Gokhale, Yuankai Huo, S. Bao, 2022, 2022 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS).

Cross-scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images

Joseph T. Roland, Lucas W. Remedios, Lori A. Coburn, 2022, MMMI@MICCAI.

Longitudinal variability analysis on low-dose abdominal CT with deep learning-based segmentation

Ho Hin Lee, A. Moore, L. Ferrucci, 2022, Medical Imaging.

Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models

Leon Y. Cai, Ho Hin Lee, A. Moore, 2022, MICCAI.

Label efficient segmentation of single slice thigh CT with two-stage pseudo labels

Ho Hin Lee, A. Moore, L. Ferrucci, 2022, Journal of medical imaging.

Quantification of muscle, bones, and fat on single slice thigh CT

Ho Hin Lee, A. Moore, L. Ferrucci, 2022, Medical Imaging.

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

Ho Hin Lee, Yuankai Huo, S. Bao, 2022, 2209.15076.

Algorithmic Enhancements to Data Colocation Grid Frameworks for Big Data Medical Image Processing

S. Bao, 2018 .

Single slice thigh CT muscle group segmentation with domain adaptation and self-training

Leon Y. Cai, Ho Hin Lee, A. Moore, 2022, Journal of medical imaging.

Adaptive Contrastive Learning with Dynamic Correlation for Multi-Phase Organ Segmentation

Leon Y. Cai, Ho Hin Lee, Yuankai Huo, 2022, ArXiv.

Hierarchical particle optimization for cortical shape correspondence in temporal lobe resection

Warren D. Taylor, Yue Liu, Ilwoo Lyu, 2022, Comput. Biol. Medicine.

Integrating the BIDS Neuroimaging Data Format and Workflow Optimization for Large-Scale Medical Image Analysis

D. Zald, B. Boyd, Ilwoo Lyu, 2022, Journal of Digital Imaging.

SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth

Shunxing Bao, Yuankai Huo, Bennett A. Landman, 2018, IEEE Transactions on Medical Imaging.

Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data pdf

Shunxing Bao, Camilo Bermudez, Yuankai Huo, 2018, MICCAI.

Improved stability of whole brain surface parcellation with multi-atlas segmentation

Shunxing Bao, Yuankai Huo, Prasanna Parvathaneni, 2017, Medical Imaging.

Using deep learning for a diffusion-based segmentation of the dentate nucleus and its benefits over atlas-based methods

Shunxing Bao, Benoit M Dawant, Bennett A Landman, 2019, Journal of medical imaging.

Compound Figure Separation of Biomedical Images with Side Loss pdf

Catie Chang, Shunxing Bao, Yuankai Huo, 2021, DGM4MICCAI/DALI@MICCAI.

Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection pdf

Shunxing Bao, Yuankai Huo, Bennett A. Landman, 2019, MLMI@MICCAI.

Adversarial synthesis learning enables segmentation without target modality ground truth

Shunxing Bao, Yuankai Huo, Bennett A. Landman, 2017, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

3D whole brain segmentation using spatially localized atlas network tiles

Shunxing Bao, Camilo Bermudez, Yuankai Huo, 2019, NeuroImage.

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

Ho Hin Lee, Yuankai Huo, S. Bao, 2022, ICLR.

High-resolution 3D abdominal segmentation with random patch network fusion

Shunxing Bao, Camilo Bermudez, Yuankai Huo, 2020, Medical Image Anal..

Development and Characterization of a Chest CT Atlas pdf

Shunxing Bao, Bennett A. Landman, Mattias P. Heinrich, 2020, Proceedings of SPIE--the International Society for Optical Engineering.

Rap-Net: Coarse-To-Fine Multi-Organ Segmentation With Single Random Anatomical Prior

Ho Hin Lee, B. Landman, Yuankai Huo, 2020, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Splenomegaly Segmentation on Multi-Modal MRI Using Deep Convolutional Networks

Shunxing Bao, Camilo Bermudez, Yuankai Huo, 2018, IEEE Transactions on Medical Imaging.

Multi-Contrast Computed Tomography Healthy Kidney Atlas pdf

Shunxing Bao, Yuankai Huo, Bennett A. Landman, 2020, Comput. Biol. Medicine.

Cost-effective Hardware Accelerator Recommendation for Edge Computing

Shunxing Bao, Aniruddha Gokhale, Xingyu Zhou, 2020, HotEdge.

Towards Portable Large-Scale Image Processing with High-Performance Computing

Shunxing Bao, Prasanna Parvathaneni, Ilwoo Lyu, 2018, Journal of Digital Imaging.

STRATUM: A BigData-as-a-Service for Lifecycle Management of IoT Analytics Applications

Shunxing Bao, Yogesh D. Barve, Shweta Khare, 2019, 2019 IEEE International Conference on Big Data (Big Data).

Fully convolutional neural networks improve abdominal organ segmentation

Shunxing Bao, Yuankai Huo, Ilwoo Lyu, 2018, Medical Imaging.

Splenomegaly segmentation using global convolutional kernels and conditional generative adversarial networks

Shunxing Bao, Camilo Bermudez, Yuankai Huo, 2017, Medical Imaging.

Reasoning for CPS Education Using Surrogate Simulation Models

Aniruddha S. Gokhale, Shunxing Bao, Joe Porter, 2016, 2016 IEEE 40th Annual Computer Software and Applications Conference (COMPSAC).

Reasoning about CPS using surrogate simulation models

Shunxing Bao, S. Bao, 2014 .

Pancreas CT Segmentation by Predictive Phenotyping

Shunxing Bao, Yuankai Huo, Bennett A. Landman, 2021, MICCAI.

Stochastic tissue window normalization of deep learning on computed tomography

Shunxing Bao, Yuankai Huo, Bennett A Landman, 2019, Journal of medical imaging.

Time-distanced gates in long short-term memory networks

Shunxing Bao, Yuankai Huo, Bennett A Landman, 2020, Medical Image Anal..

CaCL: Class-aware Codebook Learning for Weakly Supervised Segmentation on Diffuse Image Patterns

Bryan A. Millis, Catie Chang, Yuankai Huo, 2020, DGM4MICCAI/DALI@MICCAI.

UNesT: Local Spatial Representation Learning with Hierarchical Transformer for Efficient Medical Segmentation

Ho Hin Lee, T. Lasko, Zizhao Zhang, 2022, arXiv.org.

Renal cortex, medulla and pelvicaliceal system segmentation on arterial phase CT images with random patch-based networks

Shunxing Bao, Yuankai Huo, Bennett A. Landman, 2021, Medical Imaging.

Registration-based image enhancement improves multi-atlas segmentation of the thalamic nuclei and hippocampal subfields.

Shunxing Bao, Camilo Bermudez, Yuankai Huo, 2019, Magnetic resonance imaging.

Semantic-Aware Contrastive Learning for Multi-Object Medical Image Segmentation

Shunxing Bao, Yuankai Huo, Bennett A. Landman, 2021, IEEE Journal of Biomedical and Health Informatics.

Cortical Surface Parcellation Using Spherical Convolutional Neural Networks

Shunxing Bao, Yuankai Huo, Prasanna Parvathaneni, 2019, MICCAI.

Stratum: A Serverless Framework for Lifecycle Management of Machine Learning based Data Analytics Tasks pdf

Shunxing Bao, Yogesh D. Barve, Shweta Khare, 2019, OpML.

Characterizing Renal Structures with 3D Block Aggregate Transformers

Ho Hin Lee, T. Lasko, B. Landman, 2022, ArXiv.

A Self-Adaptive Load Balancing Approach for Software-Defined Networks in IoT

A. Gokhale, Hongyang Sun, S. Gokhale, 2021, 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS).

Guarding Against Universal Adversarial Perturbations in Data-driven Cloud/Edge Services

Yogesh D. Barve, S. Bao, D. Balasubramanian, 2022, 2022 IEEE International Conference on Cloud Engineering (IC2E).