Dibash Basukala

According to our database, Dibash Basukala authored at least 5 papers between 2016 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2021

Automated segmentation of substantia nigra and red nucleus using quantitative susceptibility mapping images: Application to Parkinson's disease.

Dibash Basukala, Ramakrishnan Mukundan, Anthony Lim, Michael A. Hurrell, Ross J. Keenan, John C. Dalrymple-Alford, Tim J. Anderson, Daniel J. Myall, Tracy R. Melzer

Comput. Electr. Eng., 2021

2019

Automated Segmentation of Substantia Nigra and Red Nucleus in Quantitative Susceptibility Mapping Images.

Dibash Basukala, Ramakrishnan Mukundan, Tracy R. Melzer, Anthony Lim

Proceedings of the 20th International Conference on Parallel and Distributed Computing, 2019

2018

Segmentation of Substantia Nigra Using Weighted Thresholding Method.

Dibash Basukala, Ramakrishnan Mukundan, Tracy R. Melzer, Ross J. Keenan

Proceedings of the 2018 International Conference on Image and Vision Computing New Zealand, 2018

Segmentation of Substantia Nigra for the Automated Characterization of Parkinson's Disease.

Dibash Basukala, Ramakrishnan Mukundan, Tracy R. Melzer, Ross J. Keenan

Proceedings of the IEEE International Conference on Image Processing, 2018

2016

Brain image segmentation using a combination of expectation-maximization algorithm and watershed transform.

Goo-Rak Kwon, Dibash Basukala, Sang-Woong Lee, Kun Ho Lee, Moonsoo Kang

Int. J. Imaging Syst. Technol., 2016