The following publications are possibly variants of this publication:
- Automated Segmentation of the Cerebellar Lobules Using Boundary Specific Classification and EvolutionJohn A. Bogovic, Pierre-Louis Bazin, Sarah H. Ying, Jerry L. Prince. ipmi 2013: 62-73 [doi]
- Automatic outlier detection using hidden Markov model for cerebellar lobule segmentationLianrui Zuo, Aaron Carass, Shuo Han, Jerry L. Prince. mibam 2018: [doi]
- A toolbox to visually explore cerebellar shape changes in cerebellar disease and dysfunctionSayed Mazdak Abulnaga, Zhen Yang, Aaron Carass, Kalyani Kansal, Bruno M. Jedynak, Chiadi U. Onyike, Sarah H. Ying, Jerry L. Prince. micad 2016: [doi]
- Improving cerebellar segmentation with statistical fusionAndrew J. Plassard, Zhen Yang, Jerry L. Prince, Daniel O. Claassen, Bennett A. Landman. miip 2016: [doi]