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2020 – today
- 2022
[j5]Mahua Nandy Pal
, Ankit Sarkar, Anindya Gupta, Minakshi Banerjee:
Deep CNN based microaneurysm-haemorrhage classification in retinal images considering local neighbourhoods. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 10(2): 157-171 (2022)- 2020
- [j4]Anindya Gupta, Tonis Saar, Olev Märtens, Yannick Le Moullec, Ida-Maria Sintorn:
Detection of pulmonary micronodules in computed tomography images and false positive reduction using 3D convolutional neural networks. Int. J. Imaging Syst. Technol. 30(2): 327-339 (2020) - [c11]Anindya Gupta, Veronica Larsson, Damian J. Matuszewski, Staffan Strömblad, Carolina Wählby:
Weakly-Supervised Prediction of Cell Migration Modes in Confocal Microscopy Images Using Bayesian Deep Learning. ISBI 2020: 1626-1629
2010 – 2019
- 2019
- [c10]Amit Suveer, Anindya Gupta, Gustaf Kylberg, Ida-Maria Sintorn:
Super-Resolution Reconstruction of Transmission Electron Microscopy Images Using Deep Learning. ISBI 2019: 548-551 - 2018
- [c9]Buda Bajic, Amit Suveer, Anindya Gupta, Ivana Pepic, Joakim Lindblad, Natasa Sladoje, Ida-Maria Sintorn:
Denoising of short exposure transmission electron microscopy images for ultrastructural enhancement. ISBI 2018: 921-925 - 2017
- [j3]Anindya Gupta, B. Sundar Rajan:
A Relation Between Network Computation and Functional Index Coding Problems. IEEE Trans. Commun. 65(2): 705-714 (2017) - [c8]Xuepeng Xiao, Yi Hong, Emanuele Viterbo, Anindya Gupta:
Trellis coded modulation for informed receivers. ICC Workshops 2017: 955-960 - [c7]Kristína Lidayová, Anindya Gupta, Hans Frimmel, Ida-Maria Sintorn, Ewert Bengtsson, Örjan Smedby:
Classification of Cross-sections for Vascular Skeleton Extraction Using Convolutional Neural Networks. MIUA 2017: 182-194 - [c6]Anindya Gupta, Amit Suveer, Joakim Lindblad, Anca Dragomir, Ida-Maria Sintorn, Natasa Sladoje:
Convolutional Neural Networks for False Positive Reduction of Automatically Detected Cilia in Low Magnification TEM Images. SCIA (1) 2017: 407-418 - 2016
- [j2]Anindya Gupta, B. Sundar Rajan:
Reduced Complexity Sum-Product Algorithm for Decoding Nonlinear Network Codes and In-Network Function Computation. IEEE Trans. Commun. 64(10): 4070-4082 (2016) - [c5]Anindya Gupta, B. Sundar Rajan:
Decoding network codes using the sum-product algorithm. ICC 2016: 1-7 - [c4]Anindya Gupta, B. Sundar Rajan:
Error-correcting functional index codes, generalized exclusive laws and graph coloring. ICC 2016: 1-7 - [c3]Anindya Gupta, B. Sundar Rajan:
A relation between network computation and functional index coding problems. ITW 2016: 1-5 - [i5]Anindya Gupta, B. Sundar Rajan:
Reduced Complexity Sum-Product Algorithm for Decoding Network Codes and In-Network Function Computation. CoRR abs/1601.04122 (2016) - [i4]Anindya Gupta, B. Sundar Rajan:
A Relation Between Network Computation and Functional Index Coding Problems. CoRR abs/1603.05365 (2016) - [i3]Anindya Gupta, B. Sundar Rajan:
Scalar Solvability of Network Computation Problems and Representable Matroids. CoRR abs/1607.00490 (2016) - 2015
- [c2]Anindya Gupta, B. Sundar Rajan:
Error correcting functional source coding with decoder side information using row-Latin rectangles. ICC 2015: 4066-4071 - [c1]Anindya Gupta, Olev Märtens, Yannick Le Moullec, Tonis Saar:
Methods for increased sensitivity and scope in automatic segmentation and detection of lung nodules in CT images. ISSPIT 2015: 375-380 - [i2]Anindya Gupta, B. Sundar Rajan:
Decoding Network Codes using the Sum-Product Algorithm. CoRR abs/1510.03634 (2015) - [i1]Anindya Gupta, B. Sundar Rajan:
Error-Correcting Functional Index Codes, Generalized Exclusive Laws and Graph Coloring. CoRR abs/1510.04820 (2015)
2000 – 2009
- 2009
- [j1]N. Kalyanasundaram, Abhishek Jindal, Anindya Gupta:
H∞ bounds for quasi-Newton adaptive algorithm. Signal Process. 89(11): 2304-2309 (2009)
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