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Books

A. Majumdar, A Sparsity Based Approach Towards Fast MRI Acquisition: Software Based Acceleration Approach, LAM Lambert, 2012.

A. Majumdar, Compressive Classification for Face Recognition: A New Approach, VDM Verlag, 2009.

Book Chapters

B1.         A. Majumdar, "Advances in online dynamic MRI reconstruction", in Frontiers of Medical Imaging, C.H. Chen, World Scientific Publishing

B2.         A. Majumdar and R. K. Ward, “Sparsity Based Reconstruction Techniques in Single Channel and Multi-channel MRI” in Recent Advances in Medical Imaging Technologies, Troy Farncombe and Kris Iniewski, CRC Press (In Print).

B3.         A. Majumdar, R. K. Ward and P. Nasiopoulos, “Distributed Face Recognition” in Face Recognition: Methods, Applications and Technology, Adamo Quaglia and Calogera M. Epifano Ed., Nova Publishers, NY, 2011

B4.         A. Majumdar and R. K. Ward, “Compressive Classification for Face Recognition”, in Face Recognition, Ed. Milos Oravec. Intech Publishers, pp. 47-64, 2010.

B5.         A. Majumdar, “Multi Font Bangla Basic Character Recognition via Multiresolution Transforms”, in Digitizing the legacy of Indian Languages, Ed. Salonee Priya, ICFAI University Press, pp. 158-174, 2010.

B6.         A. Majumdar and R. K. Ward, “Multiresolution Methods in Face Recognition” in Recent Advances in Face Recognition, Eds. M. S. Bartlett, K. Delac and M. Grgic, I-Tech Education and Publishing, Vienna, Austria, pp. 79-96, 2009.

Journals

J1.          A. Majumdar and R. K. Ward, "Non-Convex Row-sparse MMV Analysis Prior Formulation For EEG Signal Reconstruction", Biomedical Signal Processing and Control, (accepted) (I.F. 1.1).

J2.          A. Majumdar, K. Chaudhury and R. Ward, "Calibrationless Parallel Magnetic Resonance Imaging: A Joint Sparsity Model", Sensors, Special Issue on Magnetic Resonance Sensors, Vol. 13(12), pp. 16714-16735, 2013. (I.F. 2.0)

J3.          M. Mohsina and A. Majumdar, “Gabor Based Analysis Prior Formulation For EEG Signal Reconstruction”, Biomedical Signal Processing and Control, Vol. 8 (6), pp. 951–955, 2013 (I.F. 1.1).

J4.          A. Majumdar, “Motion Predicted Online Dynamic MRI Reconstruction from Partially Sampled K-Space Data”, Magnetic Resonance Imaging, Vol. 31 (9), pp. 1578–1586, 2013. (I.F. 2.0)

J5.          H. S. Chen, A. Majumdar and P. Kozlowski, “Compressed Sensing CPMG with Group-Sparse Reconstruction for Myelin Water Imaging”, Magnetic Resonance in Medicine, (accepted), (I. F. 3.0)

J6.          A. Majumdar and R. K. Ward, “Rank Awareness in Group-sparse Recovery of Multi-echo MR Images”, Sensors, Special Issue on Medical and Biomedical Imaging, Vol. 13 (3), pp. 3902-3921. (I.F. 2.0)

J7.          A. Majumdar, “Improved Dynamic MRI Reconstruction by Exploiting Sparsity and Rank-Deficiency”, Magnetic Resonance Imaging, Vol. 31(5), pp. 789-95, 2013. (I.F. 2.0)

J8.          A. Majumdar, R. K. Ward and T. Aboulnasr, “Non-Convex Algorithm for Sparse and Low-Rank Recovery: Application to Dynamic MRI Reconstruction”, Magnetic Resonance Imaging, Vol. 31 (3), pp. 448 – 455. (I.F. 2.0)

J9.          A. Majumdar, R. K. Ward and T. Aboulnasr, “Algorithms to Approximately Solve NP Hard Row-Sparse MMV Recovery Problem: Application to Compressive Color Imaging”, IEEE Journal on Emerging and Selected Topics in Circuits and Systems , Special Issue on Circuits, Systems and Algorithms for Compressive Sensing, Vol. 2 (3), pp. 362-369. 2013.

J10.       A. Majumdar, R. K. Ward and T. Aboulnasr, “Compressed Sensing Based near Real-Time Online Dynamic MRI Reconstruction”, IEEE Transactions on Medical Imaging, Vol. 31 (2), pp. 2253 – 2266, 2012. (I.F. 3.5)

J11.       A. Majumdar and R. K. Ward, “Causal dynamic MRI reconstruction via nuclear norm minimization”, Magnetic Resonance Imaging, Vol. 30(10), 1483-94, pp. 2012. (I.F. 2.0)

J12.       A. Majumdar and R. K. Ward, “Iterative Estimation of MRI Sensitivity Maps and Image based on SENSE Reconstruction (iSENSE)”, Concepts in Magnetic Resonance: Part A, Vol. 40 (6), pp. 269-280, 2012. (I.F. 1.7)

J13.       A. Majumdar, “FOCUSS Based Schatten-p Norm Minimization for Real-Time Reconstruction of Dynamic Contrast Enhanced MRI”, IEEE Signal Processing Letters, Vol. 9(5), pp. 315-318, 2012. (I.F. 1.4)

J14.       A. Majumdar and R. K. Ward, “Calibration-less Multi-Coil MR Image Reconstruction”, Magnetic Resonance Imaging, Vol. 30(7), pp. 1032-45, 2012. (I.F. 2.0)

J15.       A. Majumdar and R. K. Ward, “Nuclear Norm Regularized SENSE Reconstruction”, Magnetic Resonance Imaging, Vol. 30 (2), pp. 213–221, 2012. (I.F. 2.0)

J16.       A. Majumdar and R. K. Ward, “Accelerating Multi-Echo T2 Weighted MR Imaging: Analysis Prior Group Sparse Optimization”, Journal of Magnetic Resonance, Vol. 210 (1), pp. 90-97, 2011. (I.F. 2.1)

J17.       A. Majumdar and R. K. Ward, “Joint Reconstruction of Multi-echo MR Images Using Correlated Sparsity”, Magnetic Resonance Imaging, Vol. 29 (7), pp. 899-906, 2011. (I.F. 2.0)

J18.       A. Majumdar and R. K. Ward, “On the Choice of Compressed Sensing Priors: An Experimental Study”, Signal Processing: Image Communication, Vol. 27 (9), pp. 1035–1048, 2012. (I.F. 1.4)

J19.       A. Majumdar and R. K. Ward, “Exploiting Rank Deficiency and Transform Domain Sparsity for MR Image Reconstruction”, Magnetic Resonance Imaging, Vol. 30 (1), pp. 9–18, 2012. (I.F. 2.0)

J20.       A. Majumdar and R. K. Ward, “An Algorithm for Sparse MRI Reconstruction by Schatten p-norm Minimization”, Magnetic Resonance Imaging,  Vol. 29(3), pp. 408-17, 2011. (I.F. 2.0)

J21.       A. Majumdar and R. K. Ward, “Some Empirical Advances in Matrix Completion”, Signal Processing, Vol. 91 (5), pp. 1334-1338, 2011. (I.F. 1.5)

J22.       A. Majumdar and R. K. Ward, “Increasing Energy Efficiency in Sensor Networks: Blue Noise Sampling and Non-Convex Matrix Completion”, International Journal of Sensor Networks, Vol. 9, (3/4), pp. 158-169, 2011. (I.F. 1.4)

J23.       A. Majumdar and R. K. Ward, “Improved Group Sparse Classifier”, Pattern Recognition Letters, Vol. 31 (13), pp. 1959-1964, 2010. (I.F. 1.0)

J24.       A. Majumdar and R. K. Ward, “Compressed Sensing of Color Images”, Signal Processing, Vol. 90 (12), 3122-3127, 2010. (I.F. 2.0)

J25.       A. Majumdar and R. K. Ward, “Robust Classifiers for Data Reduced via Random Projections”, IEEE Transactions on Systems, Man, and Cybernetics, Part B, Vol. 40 (5), pp. 1359 - 1371. (I.F. 3.0)

J26.       A. Majumdar and R. K. Ward, “Fast Group Sparse Classification”, IEEE Canadian Journal of Electrical and Computer Engineering, Vol. 34 (4), pp. 136-144, 2009, (Invited).

J27.       A. Majumdar, “Image Compression by Block PCA Coding in Curvelet Domain”, Journal of Signal, Image and Video Processing, Vol. 3 (1), pp. 27-34(8), 2009. (I.F. 0.6)

Selected Conference Proceedings

C1.         W. Singh, A. Shukla, S. Deb and A. Majumdar, “Energy Efficient Acquisition and Reconstruction of EEG Signals”, IEEE EMBC 2014 (accepted).

C2.         A. Gogna, A. Shukla, H. Agarwal and A. Majumdar, “Split Bregman Algorithms for Sparse / Joint-sparse and Low-rank Signal Recovery: Application in Compressive Hyperspectral Imaging”, IEEE ICIP 2014 (accepted).

C3.         A. Shah and A. Majumdar, " Parallelizing Sparse Recovery Algorithms: A Stochastic Approach", 19th IEEE DSP (accepted).

C4.         H. K. Agarwal and A. Majumdar, "Compressive Sensing Multi-Spectral Demosaicing from Single Sensor Architecture", ChinaSIP 2014, (accepted).

C5.         H. K. Agarwal and A. Majumdar, "Single-Sensor Multi-Spectral Image Demosaicing Algorithm Using Learned Interpolation Weights", IGARSS 2014, (accepted).

C6.         H. K. Agarwal and A. Majumdar, "Extension of Sparse Randomized Kaczmarz Algorithm for Multiple Measurement Vectors", ICPR, 2014 (accepted).

C7.         A. Gogna, A. Shukla and A. Majumdar, "Matrix Recovery using Split Bregman", ICPR, 2014 (accepted).

C8.         A. Majumdar, "Improved Blind Compressed Sensing for Dynamic MRI Reconstruction", ISMRM 2014 (accepted).

C9.         A. Majumdar, "Elastic Net Formulation for MRI Reconstruction", ISMRM 2014 (accepted).

C10.     A. Majumdar and R. K. Ward, "Improved MRI Reconstruction via Non-Convex Elastic Net", ICASSP 2014 (accepted).

C11.     A. Majumdar and S. S. Ram. "Two-Dimensional Array Processing with Compressed Sensing", RadarCon 2014 (accepted).

C12.     A. Majumdar and R. K. Ward, “Dynamic CT Reconstruction by Smoothed Rank Minimization”, MICCAI, Vol. 8151, pp 131-138, 2013.

C13.     A. Majumdar, R. K. Ward and T. Aboulnasr, “FOCUSS Algorithm for Rank-Aware Row Sparse MMV Recovery”, EUSIPCO 2013.

C14.     A. Majumdar, R. K. Ward and T. Aboulnasr, “Generalized Non-Linear Sparse Classifier”, EUSIPCO 2013.

C15.     H. K. Agarwal, A. Majumdar and R. K. Ward, “A Reconstruction Algorithm for Multi-Spectral Image Demosaicing”, IASTED Signal and Image Processing, 17th to 19th July, Banff, Canada.

C16.     G. N. Harsha, A. Majumdar and R. K. Ward, “Disparity Map Computation for Stereo Images Using Compressive Sampling”, IASTED Signal and Image Processing, 17th to 19th July, Banff, Canada.

C17.     A. Shukla, A. Majumdar and R. K. Ward, “Real-Time Dynamic MRI Reconstruction: Accelerating Compressed Sensing on Graphical Processor Unit”, IASTED Signal and Image Processing, 17th to 19th July, Banff, Canada.

C18.     A. Majumdar and R. K. Ward, “Exploiting Sparsity and Rank-deficiency in Dynamic MRI Reconstruction”, IEEE International Conference on Acoustics, Speech, and Signal Processing.

C19.     A. Majumdar and R. K. Ward, “Exploiting Rank Deficiency for MR Image Reconstruction from Multiple Partial K-Space Scans”, IEEE Canadian Conference on Electrical and Computer Engineering, .

C20.     A. Majumdar and R. K. Ward, “Non-linear Sparse and Group-sparse Classifier”, IEEE Canadian Conference on Electrical and Computer Engineering.

C21.     A. Majumdar, R. K. Ward and T. Aboulnasr, “A FOCUSS Based Method for Low Rank Matrix Recovery”, IEEE International Conference on Image Processing, pp. 1713-1716, 2012.

C22.     A. Majumdar, R. K. Ward and T. Aboulnasr, “k-t CaLM: Calibration-Less Multi-Coil Dynamic MRI Reconstruction”, International Symposium on Magnetic Resonance in Medicine (ISMRM), Melbourne 2012.

C23.     A. Majumdar and R. K. Ward, “Face Recognition from Video: An MMV Recovery Approach”, IEEE International Conference on Acoustics, Speech, and Signal Processing, pp. 2221-2224, 2012.

C24.     A. Majumdar and R. K. Ward, “Synthesis and Analysis Prior Algorithms for Joint-Sparse Recovery”, IEEE International Conference on Acoustics, Speech, and Signal Processing, pp. 3421-3424, 2012.

C25.     A. Majumdar and R. K. Ward, “Compressed Sensing Based MR Image Reconstruction from Multiple Partial K-Space Scans” IEEE Workshop on Signal Processing Systems (SiPS), pp. 340-343, 2011.

C26.     H. S. Chen, A. Majumdar and P. Kozlowski, “Compressed Sensing CPMG with Group-Sparse Reconstruction for Myelin Water Imaging”, ISMRM, Toronto 2011.

C27.     A. Majumdar and R. K. Ward, “Compressive Color Imaging with Group Sparsity on Analysis Prior”, IEEE International Conference on Image Processing, pp. 1337-1340, 2010.

C28.     A. Majumdar and R. K. Ward, “Under-determined Non-Cartesian MR Reconstruction”, MICCAI, pp. 513-520, 2010.

C29.     A. Majumdar and R. K. Ward, “A Matrix Completion Approach to Energy Efficient Distributed Sensor Network”, Data Compression Conference, pp. 545, 2010.

C30.     A. Majumdar and R. K. Ward, “Non-convex Group Sparsity: Application to Color Imaging”, IEEE International Conference on Acoustics, Speech, and Signal Processing, pp. 469-472, 2010.

C31.     A. Majumdar and R. K. Ward, “Fast Group Sparse Classifier”, IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, Victoria, pp. 11-16, 2009.

C32.     A. Majumdar and R. K. Ward, “Discriminative SIFT Features for Face Recognition”, IEEE Canadian Conference on Electrical and Computer Engineering pp. 27-30, 2009.

C33.     A. Majumdar and R. K. Ward, “Classification via Group Sparsity Promoting Regularization”, IEEE International Conference on Acoustics, Speech, and Signal Processing, pp. 873-876, 2009.

C34.     A. Majumdar, “Classification by Linearity Assumption”, International Conference on Advancement of Pattern Recognition, pp. 255-258, 2009.

C35.     A. Majumdar and P. Nasiopoulos, “Frontal Face Recognition from Video”, International Symposium on Visual Computing, Vol. 2, pp. 297-306, 2008.

C36.     A. Majumdar and R. K. Ward, “Fingerprint Recognition with Curvelet Features and Fuzzy KNN Classifier”, IASTED Conference on Signal and Image Processing 2008.

C37.     A. Majumdar and R. K. Ward, “Single Image per Person Face Recognition with Images Synthesized by Non-Linear Approximation”, IEEE International Conference on Image Processing, 2740-2743, 2008.

C38.     A. Majumdar and R. K. Ward, “Pseudo-Fisherface Method for Single Image per Person Face Recognition”, IEEE International Conference on Acoustics, Speech, and Signal Processing, pp. 989-992, 2008.

C39.     T. Mandal, A. Majumdar and J. Hu, “Face Recognition Via Curvelet Based feature Extraction”, International Conference on Image Analysis and Recognition, pp. 806-817, 2007.

C40.     B. Chaudhuri and A. Majumdar, “A Curvelet–based Multi SVM Recognizer for Offline Handwritten Bangla: A Major Indian Script”, IEEE International Conference on Document Analysis and Research, pp. 491-495, 2007.

C41.     A. Majumdar and B.B. Chaudhuri “A MLP Classifier for both Printed and Handwritten Bangla Numeral Recognition”. Indian Conference on Computer Vision, Graphics and Image Processing, pp. 796-804, 2006.