Biomedical Imaging and Bioinformatics Lab (BIBL)

Publications of BIBL


Books

  1. Pradipta Maji and Sushmita Paul, Scalable Pattern Recognition Algorithms: Applications in Computational Biology and Bioinformatics, Springer-Verlag, London, ISBN: 978-3-319-05629-6, Pages 304, April 2014.

International Journal Papers

  1. Debamita Kumar and Pradipta Maji, Discriminative Deep Generalized Dependency Analysis for Multi-View Data, IEEE Transactions on Artificial Intelligence, pp. 1--12, 2023.

  2. Debamita Kumar and Pradipta Maji, Discriminative Deep Canonical Correlation Analysis for Multi-View Data, IEEE Transactions on Neural Networks and Learning Systems, pp. 1--13, 2023.

  3. Shaswati Roy and Pradipta Maji, Tumor Delineation from 3-D MR Brain Images, Signal, Image and Video Processing, Springer, 17(7), pp. 3433--3441, October 2023.

  4. Ankita Mandal and Pradipta Maji, Multiview Regularized Discriminant Canonical Correlation Analysis: Sequential Extraction of Relevant Features from Multiblock Data, IEEE Transactions on Cybernetics, 53(9), pp. 5497--5509, September 2023.

  5. Ankita Mandal and Pradipta Maji, Adaptive Generalized Multi-View Canonical Correlation Analysis for Incrementally Update Multiblock Data, IEEE Transactions on Knowledge and Data Engineering, 35(7), pp. 6616--6629, July 2023.

  6. Suman Mahapatra and Pradipta Maji, Truncated Normal Mixture Prior Based Deep Latent Model for Color Normalization of Histology Images, IEEE Transactions on Medical Imaging, 42(6), pp. 1746--1757, June 2023.

  7. Ekta Shah and Pradipta Maji, Multi-View Kernel Learning for Identification of Disease Genes, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 20(3), pp. 2278--2290, May/June 2023.

  8. Aparajita Khan and Pradipta Maji, Multi-Manifold Optimization for Multi-View Subspace Clustering, IEEE Transactions on Neural Networks and Learning Systems, 33(8), pp. 3895--3907, August 2022.

  9. Ekta Shah and Pradipta Maji, Scalable Non-Linear Graph Fusion for Prioritizing Cancer-Causing Genes, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 19(2), pp. 1130--1143, March/April 2022.

  10. Aparajita Khan and Pradipta Maji, Selective Update of Relevant Eigenspaces for Integrative Clustering of Multimodal Data, IEEE Transactions on Cybernetics, 52(2), pp. 947--959, February 2022.

  11. Debamita Kumar and Pradipta Maji, Rough-Bayesian Approach to Select Class-Pair Specific Descriptors for HEp-2 Cell Staining Pattern Recognition, Pattern Recognition, 117, pp. 107982 (1--18), September 2021.

  12. Pradipta Maji and Partha Garai, Rough Hypercuboid Based Generalized and Robust IT2 Fuzzy C-Means Algorithm, IEEE Transactions on Cybernetics, 51(7), pp. 3641--3652, July 2021.

  13. Shaswati Roy and Pradipta Maji, Multispectral Co-Occurrence of Wavelet Coefficients for Malignancy Assessment of Brain Tumors, PLoS ONE, 16(6): e0250964, doi: 10.1371/journal.pone.0250964, June 2021.

  14. Aparajita Khan and Pradipta Maji, Approximate Graph Laplacians for Multimodal Data Clustering, IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(3), pp. 798--813, March 2021.

  15. Sreyashi Majumdar, Rohit Verma, Avishek Saha, Parthasarathi Bhattacharyya, Pradipta Maji, Milan Surjit, Manikuntala Kundu, Joyoti Basu, Sudipto Saha, Perspectives About Modulating Host Immune System in Targeting SARS-CoV-2 in India, Frontiers in Genetics, 12:637362. doi: 10.3389/fgene.2021.637362, February 2021.

  16. Abhirup Banerjee and Pradipta Maji, A Spatially Constrained Probabilistic Model for Robust Image Segmentation, IEEE Transactions on Image Processing, 29(1), pp. 4898--4910, December 2020.

  17. Ankita Mandal and Pradipta Maji, CanSuR: A Robust Method for Staining Pattern Recognition of HEp-2 Cell IIF Images, Neural Computing and Applications, Springer, 32(21), pp. 16471--16489, November 2020.

  18. Debamita Kumar and Pradipta Maji, Selection of Relevant Texture Descriptors for Recognition of HEp-2 Cell Staining Patterns, International Journal of Machine Learning and Cybernetics, Springer, 11(9), pp. 2127--2147, September 2020.

  19. Aparajita Khan and Pradipta Maji, Low-Rank Joint Subspace Construction for Cancer Subtype Discovery, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 17(4), pp. 1290--1302, July/August 2020.

  20. Shaswati Roy and Pradipta Maji, Medical Image Segmentation by Partitioning Spatially Constrained Fuzzy Approximation Spaces, IEEE Transactions on Fuzzy Systems, 28(5), pp. 965--977, May 2020.

  21. Pradipta Maji and Suman Mahapatra, Circular Clustering in Fuzzy Approximation Spaces for Color Normalization of Histological Images, IEEE Transactions on Medical Imaging, 39(5), pp. 1735--1745, May 2020.

  22. Shaswati Roy and Pradipta Maji, Rough Segmentation of Coherent Local Intensity for Bias Induced 3-D MR Brain Images, Pattern Recognition, 97, pp. 1--18, 2020.

  23. Abhirup Banerjee and Pradipta Maji, Segmentation of Bias Field Induced Brain MR Images Using Rough Sets and Stomped-t Distribution, Information Sciences, 504, pp. 520--545, 2019.

  24. Pradipta Maji and Suman Mahapatra, Rough-Fuzzy Circular Clustering for Color Normalization of Histological Images, Fundamenta Informaticae, 164(1), pp. 103--117, 2019.

  25. Shaswati Roy and Pradipta Maji, An Accurate and Robust Skull Stripping Method for 3-D Magnetic Resonance Brain Images, Magnetic Resonance Imaging, 54, pp. 46--57, December 2018.

  26. Ankita Mandal and Pradipta Maji, FaRoC: Fast and Robust Supervised Canonical Correlation Analysis for Multimodal Omics Data, IEEE Transactions on Cybernetics, 48(4), pp. 1229--1241, 2018.

  27. Abhirup Banerjee and Pradipta Maji, Spatially Constrained Student's t-Distribution Based Mixture Model for Robust Image Segmentation, Journal of Mathematical Imaging and Vision, Springer, 60(3), pp. 355--381, 2018.

  28. Abhirup Banerjee and Pradipta Maji, Stomped-t: A Novel Probability Distribution for Rough-Probabilistic Clustering, Information Sciences, 421, pp. 104--125, 2017.

  29. Pradipta Maji and Ekta Shah, Significance and Functional Similarity for Identification of Disease Genes, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 14(6), pp. 1419--1433, 2017.

  30. Pradipta Maji and Ankita Mandal, Multimodal Omics Data Integration Using Max Relevance-Max Significance Criterion, IEEE Transactions on Biomedical Engineering, 64(8), pp. 1841-1851, 2017.

  31. Shaswati Roy and Pradipta Maji, Rough-Fuzzy Segmentation of HEp-2 Cell Indirect Immunofluorescence Images, International Journal of Data Mining and Bioinformatics, 17(4), pp. 311--340, 2017.

  32. Pradipta Maji, Ekta Shah, and Sushmita Paul, RelSim: An Integrated Method to Identify Disease Genes Using Gene Expression Profiles and PPIN Based Similarity Measure, Information Sciences, 384, pp. 110--125, 2017.

  33. Pradipta Maji and Ankita Mandal, Rough Hypercuboid Based Supervised Regularized Canonical Correlation for Multimodal Data Analysis, Fundamenta Informaticae, 148(1--2), pp. 133--155, 2016.

  34. Abhirup Banerjee and Pradipta Maji, Rough-Probabilistic Clustering and Hidden Markov Random Field Model for Segmentation of HEp-2 Cell and Brain MR Images, Applied Soft Computing, 46, pp. 558--576, 2016.

  35. Sushmita Paul and Pradipta Maji, Gene Expression and Protein-Protein Interaction Data for Identification of Colon Cancer Related Genes Using f-Information Measures, Natural Computing, 15(3), pp. 449--463, September 2016.

  36. Sumit Adak, Nazma Naskar, Pradipta Maji, and Sukanta Das, On Synthesis of Non-Uniform Cellular Automata Having Only Point Attractors, Journal of Cellular Automata, 12(1--2), pp. 81--100, 2016.

  37. Abhirup Banerjee and Pradipta Maji, Rough Sets and Stomped Normal Distribution for Simultaneous Segmentation and Bias Field Correction in Brain MR Images, IEEE Transactions on Image Processing, 24(12), pp. 5764--5776, 2015.

  38. Pradipta Maji and Shaswati Roy, SoBT-RFW: Rough-Fuzzy Computing and Wavelet Analysis Based Automatic Brain Tumor Detection Method from MR Images, Fundamenta Informaticae, 142(1--4), pp. 237--267, 2015.

  39. Pradipta Maji and Partha Garai, IT2 Fuzzy-Rough Sets and Max Relevance-Max Significance Criterion for Attribute Selection, IEEE Transactions on Cybernetics, 45(8), pp. 1657--1668, 2015.

  40. Pradipta Maji and Shaswati Roy, Rough-Fuzzy Clustering and Multiresolution Image Analysis for Text-Graphics Segmentation, Applied Soft Computing, 30, pp. 705--721, 2015.

  41. Pradipta Maji and Shaswati Roy, Rough-Fuzzy Clustering and Unsupervised Feature Selection for Wavelet Based MR Image Segmentation, PLoS ONE, 10(4): e0123677, doi:10.1371/journal.pone.0123677, 2015.

  42. Chandra Das and Pradipta Maji, Possibilistic Biclustering Algorithm for Discovering Value-Coherent Overlapping ∂-Biclusters, International Journal of Machine Learning and Cybernetics, 6(1), pp. 95--107, 2015.

  43. Pradipta Maji and Partha Garai, Simultaneous Feature Selection and Extraction Using Feature Significance, Fundamenta Informaticae, 136(4), pp. 405--431, 2015.

  44. Sushmita Paul and Pradipta Maji, City Block Distance and Rough-Fuzzy Clustering for Identification of Co-Expressed microRNAs, Molecular BioSystems, 10(6), pp. 1509--1523, 2014.

  45. Sushmita Paul and Pradipta Maji, Gene Ontology Based Quantitative Index to Select Functionally Diverse Genes, International Journal of Machine Learning and Cybernetics, 5(2), pp. 245--262, 2014.

  46. Pradipta Maji, A Rough Hypercuboid Approach for Feature Selection in Approximation Spaces, IEEE Transactions on Knowledge and Data Engineering, 26(1), pp. 16--29, 2014.

  47. Abhirup Banerjee and Pradipta Maji, Rough Sets for Bias Field Correction in MR Images Using Contraharmonic Mean and Quantitative Index, IEEE Transactions on Medical Imaging, 32(11), pp. 2144--2155, 2013.

  48. Sushmita Paul and Pradipta Maji, Rough Sets for Insilico Identification of Differentially Expressed miRNAs, International Journal of Nanomedicine, 8, pp. 63--74, 2013.

  49. Sushmita Paul and Pradipta Maji, μHEM for Identification of Differentially Expressed miRNAs Using Hypercuboid Equivalence Partition Matrix, BMC Bioinformatics, 14(1):266, 2013.

  50. Pradipta Maji and Partha Garai, On Fuzzy-Rough Attribute Selection: Criteria of Max-Dependency, Max-Relevance, Min-Redundancy, and Max-Significance, Applied Soft Computing, 13(9), pp. 3968–-3980, 2013.

  51. Pradipta Maji and Partha Garai, Fuzzy-Rough Simultaneous Attribute Selection and Feature Extraction Algorithm, IEEE Transactions on Cybernetics, 43(4), pp. 1166--1177, 2013.

  52. Pradipta Maji and Sushmita Paul, Robust Rough-Fuzzy C-Means Algorithm: Design and Applications in Coding and Non-coding RNA Expression Data Clustering, Fundamenta Informaticae, 124(1-2), pp. 153--174, 2013.

  53. Pradipta Maji and Sushmita Paul, Rough-Fuzzy Clustering for Grouping Functionally Similar Genes from Microarray Data, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 10(2), pp. 286--299, 2013.

Book Chapters

  1. Pradipta Maji and Sushmita Paul, Fundamentals of Rough-Fuzzy Clustering and Its Application in Bioinformatics, Pattern Recognition and Big Data, Editors: A. Pal and S. K. Pal, pp. 513--543, World Scientific, Singapore, 2017.

  2. Pradipta Maji and Sushmita Paul, Rough Set Based Feature Selection: Criteria of Max-Dependency, Max-Relevance, and Max-Significance, Rough Sets and Intelligent Systems: Professor Zdzislaw Pawlak in Memoriam, Editors: A. Skowron and Z. Suraj, pp. 393--418, Springer, 2013.

International Conference Papers

  1. Debamita Kumar and Pradipta Maji, An Efficient Method for Automatic Recognition of Virus Particles in TEM Images, Proceedings of 8th International Conference on Pattern Recognition and Machine Intelligence (PReMI2019), Tezpur, India, pp. 21--31, December 2019.

  2. Debamita Kumar and Pradipta Maji, Rough Sets and Local Texture Features for Diagnosis of Connective Tissue Disorders, Proceedings of International Joint Conference on Rough Sets (IJCRS2019), Debrecen, Hungary, pp. 465--479, June 2019.

  3. Ankita Mandal and Pradipta Maji, Staining Pattern Recognition of HEp-2 Cell Images Using Supervised Canonical Correlation Analysis, Proceedings of 5th International Conference on Emerging Applications of Information Technology (EAIT2018), Kolkata, India, pp. 1--4, January 2018.

  4. Ankita Mandal and Pradipta Maji, A New Method to Address Singularity Problem in Multimodal Data Analysis, Proceedings of 7th International Conference on Pattern Recognition and Machine Intelligence (PReMI2017), Kolkata, India, pp. 43--51, December 2017.

  5. Aparajita Khan and Pradipta Maji, Principal Subspace Updation for Integrative Clustering of Multimodal Omics Data, Proceedings of 3rd International Conference on Computational Intelligence and Networks (CINE2017), Bhubaneswar, India, pp. 99--104, October 2017.

  6. Ashish Phophalia and Pradipta Maji, Multimodal Brain Tumor Segmentation Using Ensemble of Forest Method, Proceedings of Brain Lesion (BrainLes2017) Workshop: International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI2017), Quebec City, Canada, pp. 159--168, September 2017.

  7. Pradipta Maji, Advances in Rough Set Based Hybrid Approaches for Medical Image Analysis, Proceedings of International Joint Conference on Rough Sets (IJCRS2017), Olsztyn, Poland, pp. 25--33, July 2017.

  8. Ankita Mandal and Pradipta Maji, Regularization and Shrinkage in Rough Set Based Canonical Correlation Analysis, Proceedings of International Joint Conference on Rough Sets (IJCRS2017), Olsztyn, Poland, pp. 432--446, July 2017.

  9. Ekta Shah and Pradipta Maji, Rough Hypercuboid and Modified Kulczynski Coefficient for Disease Gene Identification, Proceedings of 9th Asian Conference on Intelligent Information and Database Systems (ACIIDS2017), Kanazawa, Japan, pp. 465--474, April 2017.

  10. Shaswati Roy and Pradipta Maji, A Modified Rough-Fuzzy Clustering Algorithm with Spatial Information for HEp-2 Cell Image Segmentation, Proceedings of 10th IEEE International Conference on Bioinformatics and Biomedicine (BIBM2016), Shenzhen, China, pp. 383--388, December 2016.

  11. Partha Garai and Pradipta Maji, Identification of Co-Expressed microRNAs Using Rough Hypercuboid Based Interval Type-2 Fuzzy C-Means Algorithm, Proceedings of International Conference on Advanced Computing and Intelligent Engineering (ICACIE2016), India, pp. 47--57, December 2016.

  12. Partha Garai and Pradipta Maji, Clustering of microRNAs Using Rough Hypercuboid Based Fuzzy C-Means, Proceedings of 15th International Conference on Information Technology (ICIT2016), India, pp. 304--308, December 2016.

  13. Abhirup Banerjee and Pradipta Maji, Rough Sets for Finite Mixture Model Based HEp-2 Cell Segmentation, Proceedings of International Joint Conference on Rough Sets (IJCRS2015), Tianjin, China, pp. 459--469, November 2015.

  14. Shaswati Roy and Pradipta Maji, A New Post-Processing Method to Detect Brain Tumor Using Rough-Fuzzy Clustering, Proceedings of 6th International Conference on Pattern Recognition and Machine Intelligence (PReMI2015), Warsaw, Poland, pp. 407--417, July 2015.

  15. Pradipta Maji, Ekta Shah, and Sushmita Paul, A New Similarity Measure for Identification of Disease Genes, Proceedings of 6th International Conference on Pattern Recognition and Machine Intelligence (PReMI2015), Warsaw, Poland, pp. 451--461, July 2015.

  16. Shaswati Roy and Pradipta Maji, A Simple Skull Stripping Algorithm for Brain MRI, Proceedings of the 8th International Conference on Advances in Pattern Recognition (ICAPR2015), Kolkata, India, pp. 1--6, January 2015.

  17. Pradipta Maji, Ankita Mandal, Madhura Ganguly, and Sanjoy Saha, An Automated Method for Counting and Characterizing Red Blood Cells Using Mathematical Morphology, Proceedings of the 8th International Conference on Advances in Pattern Recognition (ICAPR2015), Kolkata, India, pp. 1--6, January 2015.

  18. Nazma Naskar, Sumit Adak, Pradipta Maji, and Sukanta Das, Synthesis of Non-Uniform Cellular Automata having Only Point Attractors, Proceedings of the 11th International Conference on Cellular Automata for Research and Industry (ACRI2014), Poland, pp. 105--114, September 2014.

  19. Sushmita Paul and Pradipta Maji, City Block Distance for Identification of Co-Expressed MicroRNAs, Proceedings of the 4th Joint International Conference on Swarm, Evolutionary, and Memetic Computing (SEMCCO2013), India, pp. 387--396, December 2013.

  20. Pradipta Maji, Shaswati Roy, and Malay K Kundu, Rough-Fuzzy Clustering and M-Band Wavelet Packet for Text-Graphics Segmentation, Proceedings of 5th International Conference on Pattern Recognition and Machine Intelligence (PReMI2013), Kolkata, India, pp. 530--538, December 2013.

  21. Abhirup Banerjee and Pradipta Maji, Rough Set Based Homogeneous Unsharp Masking for Bias Field Correction in MRI, Proceedings of 17th International Conference on Image Analysis and Processing (ICIAP2013), Naples, Italy, pp. 542--551, September 2013.

  22. Abhirup Banerjee and Pradipta Maji, Contraharmonic Mean Based Bias Field Correction in MR Images, Proceedings of 15th International Conference on Computer Analysis of Images and Patterns (CAIP2013), York, UK, pp. 523--530, August 2013.

  23. Sushmita Paul and Pradipta Maji, A New Rough-Fuzzy Clustering Algorithm and Its Applications, Proceedings of 2nd International Conference on Soft Computing for Problem Solving (SocProS 2012), India, pp. 1245--1251, December 2012.

  24. Pradipta Maji and Partha Garai, Simultaneous Feature Selection and Extraction Using Fuzzy-Rough Sets, Proceedings of 2nd International Conference on Soft Computing for Problem Solving (SocProS 2012), India, pp. 115--123, December 2012.

  25. Sushmita Paul and Pradipta Maji, Rough Sets and Support Vector Machine for Selecting Differentially Expressed miRNAs, Proceedings of IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW2012): Nanoinformatics for Biomedicine (NanoInfo2012), Philadelphia, PA, USA, pp. 864--871, October 2012.

  26. Sushmita Paul and Pradipta Maji, Robust RFCM Algorithm for Identification of Co-expressed miRNAs, Proceedings of 6th IEEE International Conference on Bioinformatics and Biomedicine (BIBM2012), Philadelphia, PA, USA, pp. 520--523, October 2012.

  27. Nazma Naskar, Avik Chakraborty, Pradipta Maji, and Sukanta Das, Analysis of Reachability Tree for Identification of Cyclic and Acyclic CA States, Proceedings of the 10th International Conference on Cellular Automata for Research and Industry (ACRI2012), Greece, pp. 63--72, September 2012.

  28. Pradipta Maji and Partha Garai, Fuzzy-Rough MRMS Method for Relevant and Significant Attribute Selection, Proceedings of the 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU2012), Italy, pp. 310--320, July 2012.
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