Cookies on this website
We use cookies to ensure that we give you the best experience on our website. If you click 'Continue' we'll assume that you are happy to receive all cookies and you won't see this message again. Click 'Find out more' for information on how to change your cookie settings.
Skip to main content

Segmentation of bias field induced brain MR images using rough sets and stomped-t distribution

Journal article

Banerjee A. and Maji P., (2019), Information Sciences, 504, 520 - 545

Automated Motion Correction and 3D Vessel Centerlines Reconstruction from Non-simultaneous Angiographic Projections

Conference paper

Banerjee A. et al, (2019), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11395 LNCS, 12 - 20

Optimized Rigid Motion Correction from Multiple Non-simultaneous X-Ray Angiographic Projections

Chapter

Banerjee A. et al, (2019), Lecture Notes in Computer Science, 61 - 69

Point-Cloud Method for Automated 3D Coronary Tree Reconstruction from Multiple Non-Simultaneous Angiographic Projections

Journal article

Banerjee A. et al, (2019), IEEE Transactions on Medical Imaging, 1 - 1

Spatially Constrained Student’s t-Distribution Based Mixture Model for Robust Image Segmentation

Journal article

Banerjee A. and Maji P., (2018), Journal of Mathematical Imaging and Vision, 60, 355 - 381

Stomped-t: A novel probability distribution for rough-probabilistic clustering

Journal article

Banerjee A. and Maji P., (2017), Information Sciences, 421, 104 - 125

Rough-probabilistic clustering and hidden Markov random field model for segmentation of HEp-2 cell and brain MR images

Journal article

Banerjee A. and Maji P., (2016), Applied Soft Computing Journal, 46, 558 - 576

Rough Sets and Stomped Normal Distribution for Simultaneous Segmentation and Bias Field Correction in Brain MR Images.

Journal article

Banerjee A. and Maji P., (2015), IEEE Trans Image Process, 24, 5764 - 5776

Rough sets for finite mixture model based HEp-2 cell segmentation

Conference paper

Banerjee A. and Maji P., (2015), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9436, 459 - 469

Rough sets for bias field correction in MR images using contraharmonic mean and quantitative index.

Journal article

Banerjee A. and Maji P., (2013), IEEE Trans Med Imaging, 32, 2140 - 2151

Rough set based homogeneous unsharp masking for bias field correction in MRI

Conference paper

Banerjee A. and Maji P., (2013), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8157 LNCS, 542 - 551

Contraharmonic mean based bias field correction in MR images

Conference paper

Banerjee A. and Maji P., (2013), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8047 LNCS, 523 - 530