Bibo Shi
Title
Cited by
Cited by
Year
Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms
T Schaffter, DSM Buist, CI Lee, Y Nikulin, D Ribli, Y Guan, W Lotter, Z Jie, ...
JAMA Network Open 3 (3), e200265-e200265, 2020
622020
Nonlinear feature transformation and deep fusion for Alzheimer's Disease staging analysis
B Shi, Y Chen, P Zhang, CD Smith, J Liu, ...
Pattern recognition 63, 487-498, 2017
552017
Unsupervised Deformable Registration for Multi-modal Images via Disentangled Representations
C Qin, B Shi, R Liao, T Mansi, D Rueckert, A Kamen
International Conference on Information Processing in Medical Imaging, 249-261, 2019
492019
Prediction of occult invasive disease in ductal carcinoma in situ using deep learning features
B Shi, LJ Grimm, MA Mazurowski, JA Baker, JR Marks, LM King, ...
Journal of the American College of Radiology 15 (3), 527-534, 2018
392018
Hippocampus segmentation through multi-view ensemble ConvNets
Y Chen, B Shi, Z Wang, P Zhang, CD Smith, J Liu
Biomedical Imaging (ISBI 2017), 2017 IEEE 14th International Symposium on …, 2017
342017
Anomaly detection for medical images based on a one-class classification
Q Wei, Y Ren, R Hou, B Shi, JY Lo, L Carin
Medical Imaging 2018: Computer-Aided Diagnosis 10575, 105751M, 2018
292018
Accurate and Consistent Hippocampus Segmentation Through Convolutional LSTM and View Ensemble
Y Chen, B Shi, Z Wang, T Sun, CD Smith, J Liu
International Workshop on Machine Learning in Medical Imaging, 88-96, 2017
172017
Can Occult Invasive Disease in Ductal Carcinoma In Situ Be Predicted Using Computer-extracted Mammographic Features?
B Shi, LJ Grimm, MA Mazurowski, JA Baker, JR Marks, LM King, ...
Academic radiology 24 (9), 1139-1147, 2017
162017
Nonlinear metric learning for kNN and SVMs through geometric transformations
B Shi, J Liu
Neurocomputing 318, 18-29, 2018
122018
Distance-informed metric learning for Alzheimer's disease staging
B Shi, Z Wang, J Liu
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual …, 2014
112014
Nonlinear Metric Learning for Alzheimer's Disease Diagnosis with Integration of Longitudinal Neuroimaging Features.
B Shi, Y Chen, K Hobbs, CD Smith, J Liu
BMVC, 138.1-138.13, 2015
102015
A combined local and global motion estimation and compensation method for cardiac CT
Q Tang, B Chiang, A Akinyemi, A Zamyatin, B Shi, S Nakanishi
Medical Imaging 2014: Physics of Medical Imaging 9033, 903304, 2014
92014
Autonomous Detection and Classification of PI-RADS Lesions in an MRI Screening Population Incorporating Multicenter-labeled Deep Learning and Biparametric Imaging: Proof of Concept
DJ Winkel, C Wetterauer, MO Matthias, B Lou, B Shi, A Kamen, ...
Diagnostics 10 (11), 951, 2020
82020
Nonlinear metric learning for semi-supervised learning via coherent point drifting
P Zhang, B Shi, CD Smith, J Liu
Machine Learning and Applications (ICMLA), 2016 15th IEEE International …, 2016
72016
Quad-mesh based radial distance biomarkers for alzheimer's disease
KH Hobbs, P Zhang, B Shi, CD Smith, J Liu
Biomedical Imaging (ISBI), 2016 IEEE 13th International Symposium on, 19-23, 2016
62016
Predicting clinically significant prostate cancer from quantitative image features including compressed sensing radial MRI of prostate perfusion using machine learning …
DJ Winkel, HC Breit, B Shi, DT Boll, HH Seifert, C Wetterauer
Quantitative Imaging in Medicine and Surgery 10 (4), 808, 2020
52020
False Positive Reduction Using Multiscale Contextual Features for Prostate Cancer Detection in Multi-Parametric MRI Scans
X Yu, B Lou, B Shi, D Winkel, N Arrahmane, M Diallo, T Meng, ...
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1355-1359, 2020
42020
Learning better deep features for the prediction of occult invasive disease in ductal carcinoma in situ through transfer learning
B Shi, R Hou, MA Mazurowski, LJ Grimm, Y Ren, JR Marks, LM King, ...
Medical Imaging 2018: Computer-Aided Diagnosis 10575, 105752R, 2018
42018
Nonlinear Feature Space Transformation to Improve the Prediction of MCI to AD Conversion
P Zhang, B Shi, CD Smith, J Liu
International Conference on Medical Image Computing and Computer-Assisted …, 2017
32017
Prediction of occult invasive disease in ductal carcinoma in situ using computer-extracted mammographic features
B Shi, LJ Grimm, MA Mazurowski, JR Marks, LM King, CC Maley, ...
Medical Imaging 2017: Computer-Aided Diagnosis 10134, 101341I, 2017
22017
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Articles 1–20