Abhirup Banerjee
PhD, MStat, BSc (Hons)
Postdoctoral Researcher
Key publications
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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
Recent publications
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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
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Stomped-t: A novel probability distribution for rough-probabilistic clustering
Journal article
Banerjee A. and Maji P., (2017), Information Sciences, 421, 104 - 125
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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
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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
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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