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Manish Kumar Bajpai
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2020 – today
- 2024
- [j19]Raghavendra Mishra, Manish Kumar Bajpai:
A priority-based self-guided serial-parallel genetic algorithm for low-dose computed tomography. Appl. Soft Comput. 157: 111520 (2024) - [j18]Raghavendra Mishra, Manish Kumar Bajpai:
A novel multi-agent genetic algorithm for limited-view computed tomography. Expert Syst. Appl. 238(Part E): 122195 (2024) - 2023
- [j17]Saroj Kumar Chandra, Manish Kumar Bajpai:
Efficient Machine Learning and Factional Calculus Based Mathematical Model for Early COVID Prediction. Hum. Centric Intell. Syst. 3(4): 508-520 (2023) - 2022
- [j16]Kailash W. Kalare, Manish Kumar Bajpai, Shubhabrata Sarkar, Prabhat Munshi:
Deep neural network for beam hardening artifacts removal in image reconstruction. Appl. Intell. 52(6): 6037-6056 (2022) - [j15]Raghavendra Mishra, Manish Kumar Bajpai:
Hybrid multiagent based adaptive genetic algorithm for limited view tomography using oppositional learning. Biomed. Signal Process. Control. 75: 103610 (2022) - [j14]Ujjayanta Bhaumik, Koushlendra Kumar Singh, Akbar Sheikh Akbari, Manish Kumar Bajpai:
A Deep Learning-Based Approach to Detect Correct Suryanamaskara Pose. SN Comput. Sci. 3(5): 337 (2022) - [c6]Trishna Saikia, Malho Hansdah, Koushlendra Kumar Singh, Manish Kumar Bajpai:
Classification of Lung Nodules based on Transfer Learning with K-Nearest Neighbor (KNN). IST 2022: 1-6 - 2021
- [j13]Koushlendra Kumar Singh, Suraj Kumar, Prachi Dixit, Manish Kumar Bajpai:
Kalman filter based short term prediction model for COVID-19 spread. Appl. Intell. 51(5): 2714-2726 (2021) - [j12]Raghavendra Mishra, Manish Kumar Bajpai:
A priority based genetic algorithm for limited view tomography. Appl. Intell. 51(10): 6968-6982 (2021) - [j11]Santosh Kumar Mishra, Koushlendra Kumar Singh, Richa Dixit, Manish Kumar Bajpai:
Design of Fractional Calculus based differentiator for edge detection in color images. Multim. Tools Appl. 80(19): 29965-29983 (2021) - 2020
- [j10]Saroj Kumar Chandra, Manish Kumar Bajpai:
Fractional mesh-free linear diffusion method for image enhancement and segmentation for automatic tumor classification. Biomed. Signal Process. Control. 58: 101841 (2020) - [j9]Saroj Kumar Chandra, Manish Kumar Bajpai:
Fractional Crank-Nicolson finite difference method for benign brain tumor detection and segmentation. Biomed. Signal Process. Control. 60: 102002 (2020) - [j8]Saroj Kumar Chandra, Manish Kumar Bajpai:
Brain tumor detection and segmentation using mesh-free super-diffusive model. Multim. Tools Appl. 79(3-4): 2653-2670 (2020) - [j7]Kailash Wamanrao Kalare, Manish Kumar Bajpai:
RecDNN: deep neural network for image reconstruction from limited view projection data. Soft Comput. 24(22): 17205-17220 (2020)
2010 – 2019
- 2019
- [j6]Saroj Kumar Chandra, Manish Kumar Bajpai:
Mesh free alternate directional implicit method based three dimensional super-diffusive model for benign brain tumor segmentation. Comput. Math. Appl. 77(12): 3212-3223 (2019) - [c5]Kanchan Lata Kashyap, Manish Kumar Bajpai, Pritee Khanna:
Classification of Breast Tissue Density. CVIP (2) 2019: 254-265 - [c4]Koushlendra Kumar Singh, Manish Kumar Bajpai:
Fractional Order Savitzky-Golay Differentiator based Approach for Mammogram Enhancement. IST 2019: 1-5 - 2018
- [j5]Koushlendra Kumar Singh, Manish Kumar Bajpai, Rajesh Kumar Pandey:
A novel approach for enhancement of geometric and contrast resolution properties of low contrast images. IEEE CAA J. Autom. Sinica 5(2): 628-638 (2018) - [j4]Kanchan Lata Kashyap, Manish Kumar Bajpai, Pritee Khanna, George C. Giakos:
Mesh-free approach for enhancement of mammograms. IET Image Process. 12(3): 299-306 (2018) - [j3]Kanchan Lata Kashyap, Manish Kumar Bajpai, Pritee Khanna:
An efficient algorithm for mass detection and shape analysis of different masses present in digital mammograms. Multim. Tools Appl. 77(8): 9249-9269 (2018) - [c3]Saroj Kumar Chandra, Manish Kumar Bajpai:
EFFECTIVE ALGORITHM FOR BENIGN BRAIN TUMOR DETECTION USING FRACTIONAL CALCULUS. TENCON 2018: 2408-2413 - 2017
- [j2]Kanchan Lata Kashyap, Manish Kumar Bajpai, Pritee Khanna:
Globally supported radial basis function based collocation method for evolution of level set in mass segmentation using mammograms. Comput. Biol. Medicine 87: 22-37 (2017) - [c2]Kanchan Lata Kashyap, Manish Kumar Bajpai, Pritee Khanna:
Breast Tissue Density Classification in Mammograms Based on Supervised Machine Learning Technique. COMPUTE 2017: 131-135 - 2015
- [j1]Manish Kumar Bajpai, Phalguni Gupta, Prabhat Munshi:
Fast multi-processor multi-GPU based algorithm of tomographic inversion for 3D image reconstruction. Int. J. High Perform. Comput. Appl. 29(1): 64-72 (2015) - [c1]Koushlendra Kumar Singh, Manish Kumar Bajpai, Rajesh Kumar Pandey:
Reconstruction of original signal from contaminated signal using fractional order differentiator. ISSPIT 2015: 274-278
Coauthor Index
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last updated on 2024-06-10 20:31 CEST by the dblp team
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