Non-Twist Regularization for Deformation Estimation. - Bibo Shi; Jundong Liu (MIUA, 2011)

Regularity-guaranteed transformation estimation in medical image registration. - Bibo Shi; Jundong Liu (Image Processing, 2012)

Robust separation of visceral and subcutaneous adipose tissues in micro-CT of mice. - Bibo Shi; Shuisheng Xie; Darlene E. Berryman; Edward O. List; Jundong Liu (EMBC, 2013)

Distance-informed metric learning for Alzheimer's disease staging. - Bibo Shi; Zhewei Wang; Jundong Liu (EMBC, 2014)

Adaptive multi-scale total variation minimization filter for low dose CT imaging. - Alexander Zamyatin; Gene Katsevich; Roman Krylov; Bibo Shi; Zhi Yang (Image Processing, 2014)

Nonlinear Metric Learning for Alzheimer's Disease Diagnosis with Integration of Longitudinal Neuroimaging Features. - Bibo Shi; Yani Chen; Kevin Hobbs; Charles D. Smith; Jundong Liu (BMVC, 2015)

Nonlinear Feature Transformation and Deep Fusion for Alzheimer's Disease Staging Analysis. - Yani Chen; Bibo Shi; Charles D. Smith; Jundong Liu (MLMI, 2015)

Nonlinear Metric Learning for kNN and SVMs through Geometric Transformations. - Bibo Shi; Jundong Liu (CoRR, 2015)

Nonlinear Metric Learning for Semi-Supervised Learning via Coherent Point Drifting. - Pin Zhang; Bibo Shi; Charles D. Smith; Jundong Liu (ICMLA, 2016)

Quad-mesh based radial distance biomarkers for Alzheimer's disease. - Kevin Hobbs; Pin Zhang; Bibo Shi; Charles D. Smith; Jundong Liu (ISBI, 2016)

Hippocampus segmentation through multi-view ensemble ConvNets. - Yani Chen; Bibo Shi; Zhewei Wang; Pin Zhang; Charles D. Smith; Jundong Liu (ISBI, 2017)

Prediction of occult invasive disease in ductal carcinoma in situ using computer-extracted mammographic features. - Bibo Shi; Lars J. Grimm; Maciej A. Mazurowski; Jeffrey R. Marks; Lorraine M. King; Carlo C. Maley; Eun-Sil Shelley Hwang; Joseph Y. Lo (Computer-Aided Diagnosis, 2017)

Can upstaging of ductal carcinoma in situ be predicted at biopsy by histologic and mammographic features? - Bibo Shi; Lars J. Grimm; Maciej A. Mazurowski; Jeffrey R. Marks; Lorraine M. King; Carlo C. Maley; Eun-Sil Shelley Hwang; Joseph Y. Lo (Computer-Aided Diagnosis, 2017)

Accurate and Consistent Hippocampus Segmentation Through Convolutional LSTM and View Ensemble. - Yani Chen; Bibo Shi; Zhewei Wang; Tao Sun 026; Charles D. Smith; Jundong Liu (MLMI@MICCAI, 2017)

Nonlinear Feature Space Transformation to Improve the Prediction of MCI to AD Conversion. - Pin Zhang; Bibo Shi; Charles D. Smith; Jundong Liu (MICCAI (3), 2017)

Nonlinear feature transformation and deep fusion for Alzheimer's Disease staging analysis. - Bibo Shi; Yani Chen; Pin Zhang; Charles D. Smith; Jundong Liu (Pattern Recognit., 2017)

Erratum to "Nonlinear feature transformation and deep fusion for Alzheimer's disease staging analysis" [Pattern Recognition 63 (2017) 487-498]. - Bibo Shi; Yani Chen; Pin Zhang; Charles D. Smith; Jundong Liu (Pattern Recognit., 2017)

Nonlinear Metric Learning through Geodesic Interpolation within Lie Groups. - Zhewei Wang; Bibo Shi; Charles D. Smith; Jundong Liu (ICPR, 2018)

Improving classification with forced labeling of other related classes: application to prediction of upstaged ductal carcinoma in situ using mammographic features. - Rui Hou 002; Bibo Shi; Lars J. Grimm; Maciej A. Mazurowski; Jeffrey R. Marks; Lorraine M. King; Carlo C. Maley; Eun-Sil Shelley Hwang; Joseph Y. Lo (Computer-Aided Diagnosis, 2018)

Learning better deep features for the prediction of occult invasive disease in ductal carcinoma in situ through transfer learning. - Bibo Shi; Rui Hou 002; Maciej A. Mazurowski; Lars J. Grimm; Yinhao Ren; Jeffrey R. Marks; Lorraine M. King; Carlo C. Maley; Eun-Sil Shelley Hwang; Joseph Y. Lo (Computer-Aided Diagnosis, 2018)

Anomaly detection for medical images based on a one-class classification. - Qi Wei; Yinhao Ren; Rui Hou 002; Bibo Shi; Joseph Y. Lo; Lawrence Carin (Computer-Aided Diagnosis, 2018)

Nonlinear metric learning for kNN and SVMs through geometric transformations. - Bibo Shi; Jundong Liu (Neurocomputing, 2018)

Unsupervised Deformable Registration for Multi-modal Images via Disentangled Representations. - Chen Qin; Bibo Shi; Rui Liao; Tommaso Mansi; Daniel Rueckert; Ali Kamen (IPMI, 2019)

False Positive Reduction Using Multiscale Contextual Features for Prostate Cancer Detection in Multi-Parametric MRI Scans. - Xin Yu 010; Bin Lou; Bibo Shi; David J. Winkel; Nacim Arrahmane; Mamadou Diallo; Tongbai Meng; Heinrich von Busch; Robert Grimm 002; Berthold Kiefer; Dorin Comaniciu; Ali Kamen; et al. (ISBI, 2020)