Bibo Shi

发表

UNSUPERVISED METRIC LEARNING VIA NONLINEAR FEATURE SPACE TRANSFORMATIONS

Pin Zhang, Bibo Shi, JundongLiu, 2018 .

Unsupervised Deformable Registration for Multi-Modal Images via Disentangled Representations

Daniel Rueckert, Rui Liao, Chen Qin, 2019, IPMI.

Abstract GS5-04: Prediction of occult invasive disease in ductal carcinomain situusing deep learning features

Maciej A. Mazurowski, Bibo Shi, Carlo C. Maley, 2018 .

Can upstaging of ductal carcinoma in situ be predicted at biopsy by histologic and mammographic features?

Joseph Y. Lo, Maciej A. Mazurowski, Bibo Shi, 2017, Medical Imaging.

Nonlinear Feature Space Transformation to Improve the Prediction of MCI to AD Conversion

Jundong Liu, Pin Zhang, Bibo Shi, 2017, MICCAI.

Nonlinear Metric Learning for Alzheimer's Disease Diagnosis with Integration of Longitudinal Neuroimaging Features

Jundong Liu, Bibo Shi, Charles D. Smith, 2015, BMVC.

Nonlinear Metric Learning through Geodesic Interpolation within Lie Groups

Jundong Liu, Bibo Shi, Charles D. Smith, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

A combined local and global motion estimation and compensation method for cardiac CT

Alexander A. Zamyatin, Satoru Nakanishi, Bibo Shi, 2014, Medical Imaging.

Improving classification with forced labeling of other related classes: application to prediction of upstaged ductal carcinoma in situ using mammographic features

Joseph Y. Lo, Maciej A. Mazurowski, Rui Hou, 2018, Medical Imaging.

Erratum to "Nonlinear feature transformation and deep fusion for Alzheimer's disease staging analysis" [Pattern Recognition 63 (2017) 487-498]

Jundong Liu, Pin Zhang, Bibo Shi, 2017, Pattern Recognit..

Nonlinear feature transformation and deep fusion for Alzheimer's Disease staging analysis

Jundong Liu, Bibo Shi, Charles D. Smith, 2015, Pattern Recognit..

Accurate and Consistent Hippocampus Segmentation Through Convolutional LSTM and View Ensemble

Tao Sun, Jundong Liu, Bibo Shi, 2017, MLMI@MICCAI.

Anomaly detection for medical images based on a one-class classification

Joseph Y. Lo, Lawrence Carin, Rui Hou, 2018, Medical Imaging.

Regularity-guaranteed transformation estimation in medical image registration

Jundong Liu, Bibo Shi, Bibo Shi, 2012, Medical Imaging.

Nonlinear Metric Learning for kNN and SVMs through Geometric Transformations

Jundong Liu, Bibo Shi, Bibo Shi, 2015, Neurocomputing.

Adaptive multi-scale total variation minimization filter for low dose CT imaging

Zhi Yang, Alexander Zamyatin, Bibo Shi, 2014, Medical Imaging.

Learning better deep features for the prediction of occult invasive disease in ductal carcinoma in situ through transfer learning

Joseph Y. Lo, Maciej A. Mazurowski, Rui Hou, 2018, Medical Imaging.

Nonlinear feature transformation and deep fusion for Alzheimer's Disease staging analysis

Jundong Liu, Pin Zhang, Bibo Shi, 2017, Pattern Recognit..

Non-Twist Regularization for Deformation Estimation

Jundong Liu, Bibo Shi, 2011, MIUA.

Distance-informed metric learning for Alzheimer's disease staging

Jundong Liu, Bibo Shi, Zhewei Wang, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Robust separation of visceral and subcutaneous adipose tissues in micro-CT of mice

Edward O. List, Darlene E. Berryman, Jundong Liu, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Nonlinear Metric Learning for Semi-Supervised Learning via Coherent Point Drifting

Jundong Liu, Pin Zhang, Bibo Shi, 2016, 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA).

Hippocampus segmentation through multi-view ensemble ConvNets

Jundong Liu, Pin Zhang, Bibo Shi, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Image registration for motion estimation in cardiac CT

Alexander A. Zamyatin, Bibo Shi, Alexander Katsevich, 2014, Medical Imaging.

Quad-mesh based radial distance biomarkers for Alzheimer's disease

Jundong Liu, Pin Zhang, Bibo Shi, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Prediction of occult invasive disease in ductal carcinoma in situ using computer-extracted mammographic features

Joseph Y. Lo, Maciej A. Mazurowski, Bibo Shi, 2017, Medical Imaging.

Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms

Berkman Sahiner, Jaime S. Cardoso, Thomas Yu, 2020, JAMA network open.