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Bibo Shi
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2020 – today
- 2020
- [c20]Xin Yu, Bin Lou
, Bibo Shi, David J. Winkel, Nacim Arrahmane, Mamadou Diallo, Tongbai Meng, Heinrich von Busch, Robert Grimm, Berthold Kiefer, Dorin Comaniciu, Ali Kamen, Henkjan J. Huisman, Andrew Rosenkrantz, Tobias Penzkofer
, Ivan Shabunin, Moon Hyung Choi, Qingsong Yang, Dieter Szolar:
False Positive Reduction Using Multiscale Contextual Features for Prostate Cancer Detection in Multi-Parametric MRI Scans. ISBI 2020: 1355-1359
2010 – 2019
- 2019
- [c19]Chen Qin, Bibo Shi, Rui Liao, Tommaso Mansi, Daniel Rueckert, Ali Kamen:
Unsupervised Deformable Registration for Multi-modal Images via Disentangled Representations. IPMI 2019: 249-261 - [i3]Chen Qin, Bibo Shi, Rui Liao, Tommaso Mansi, Daniel Rueckert, Ali Kamen:
Unsupervised Deformable Registration for Multi-Modal Images via Disentangled Representations. CoRR abs/1903.09331 (2019) - 2018
- [j3]Bibo Shi, Jundong Liu
:
Nonlinear metric learning for kNN and SVMs through geometric transformations. Neurocomputing 318: 18-29 (2018) - [c18]Zhewei Wang, Bibo Shi, Charles D. Smith, Jundong Liu:
Nonlinear Metric Learning through Geodesic Interpolation within Lie Groups. ICPR 2018: 898-903 - [c17]Rui Hou, Bibo Shi, Lars J. Grimm
, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo:
Improving classification with forced labeling of other related classes: application to prediction of upstaged ductal carcinoma in situ using mammographic features. Medical Imaging: Computer-Aided Diagnosis 2018: 105750R - [c16]Qi Wei, Yinhao Ren, Rui Hou, Bibo Shi, Joseph Y. Lo, Lawrence Carin
:
Anomaly detection for medical images based on a one-class classification. Medical Imaging: Computer-Aided Diagnosis 2018: 105751M - [c15]Bibo Shi, Rui Hou, Maciej A. Mazurowski, Lars J. Grimm
, Yinhao Ren, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo:
Learning better deep features for the prediction of occult invasive disease in ductal carcinoma in situ through transfer learning. Medical Imaging: Computer-Aided Diagnosis 2018: 105752R - [i2]Zhewei Wang, Bibo Shi, Charles D. Smith, Jundong Liu:
Nonlinear Metric Learning through Geodesic Interpolation within Lie Groups. CoRR abs/1805.04784 (2018) - 2017
- [j2]Bibo Shi, Yani Chen, Pin Zhang, Charles D. Smith, Jundong Liu:
Nonlinear feature transformation and deep fusion for Alzheimer's Disease staging analysis. Pattern Recognit. 63: 487-498 (2017) - [j1]Bibo Shi, Yani Chen, Pin Zhang, Charles D. Smith, Jundong Liu:
Erratum to "Nonlinear feature transformation and deep fusion for Alzheimer's disease staging analysis" [Pattern Recognition 63 (2017) 487-498]. Pattern Recognit. 66: 447 (2017) - [c14]Yani Chen, Bibo Shi, Zhewei Wang, Pin Zhang, Charles D. Smith, Jundong Liu:
Hippocampus segmentation through multi-view ensemble ConvNets. ISBI 2017: 192-196 - [c13]Bibo Shi, Lars J. Grimm
, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo:
Prediction of occult invasive disease in ductal carcinoma in situ using computer-extracted mammographic features. Medical Imaging: Computer-Aided Diagnosis 2017: 101341I - [c12]Bibo Shi, Lars J. Grimm
, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo:
Can upstaging of ductal carcinoma in situ be predicted at biopsy by histologic and mammographic features? Medical Imaging: Computer-Aided Diagnosis 2017: 101342X - [c11]Pin Zhang, Bibo Shi, Charles D. Smith, Jundong Liu:
Nonlinear Feature Space Transformation to Improve the Prediction of MCI to AD Conversion. MICCAI (3) 2017: 12-20 - [c10]Yani Chen, Bibo Shi, Zhewei Wang, Tao Sun
, Charles D. Smith, Jundong Liu:
Accurate and Consistent Hippocampus Segmentation Through Convolutional LSTM and View Ensemble. MLMI@MICCAI 2017: 88-96 - 2016
- [c9]Pin Zhang, Bibo Shi, Charles D. Smith, Jundong Liu:
Nonlinear Metric Learning for Semi-Supervised Learning via Coherent Point Drifting. ICMLA 2016: 314-319 - [c8]Kevin Hobbs, Pin Zhang, Bibo Shi, Charles D. Smith, Jundong Liu:
Quad-mesh based radial distance biomarkers for Alzheimer's disease. ISBI 2016: 19-23 - 2015
- [c7]Bibo Shi, Yani Chen, Kevin Hobbs, Charles D. Smith, Jundong Liu:
Nonlinear Metric Learning for Alzheimer's Disease Diagnosis with Integration of Longitudinal Neuroimaging Features. BMVC 2015: 138.1-138.13 - [c6]Yani Chen, Bibo Shi, Charles D. Smith, Jundong Liu:
Nonlinear Feature Transformation and Deep Fusion for Alzheimer's Disease Staging Analysis. MLMI 2015: 304-312 - [i1]Bibo Shi, Jundong Liu:
Nonlinear Metric Learning for kNN and SVMs through Geometric Transformations. CoRR abs/1508.01534 (2015) - 2014
- [c5]Bibo Shi
, Zhewei Wang, Jundong Liu:
Distance-informed metric learning for Alzheimer's disease staging. EMBC 2014: 934-937 - [c4]Alexander Zamyatin
, Gene Katsevich, Roman Krylov, Bibo Shi, Zhi Yang:
Adaptive multi-scale total variation minimization filter for low dose CT imaging. Medical Imaging: Image Processing 2014: 903426 - 2013
- [c3]Bibo Shi
, Shuisheng Xie, Darlene E. Berryman, Edward O. List, Jundong Liu:
Robust separation of visceral and subcutaneous adipose tissues in micro-CT of mice. EMBC 2013: 2312-2315 - 2012
- [c2]Bibo Shi, Jundong Liu:
Regularity-guaranteed transformation estimation in medical image registration. Medical Imaging: Image Processing 2012: 83141W - 2011
- [c1]Bibo Shi, Jundong Liu:
Non-Twist Regularization for Deformation Estimation. MIUA 2011: 147-152
Coauthor Index
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