Journal Publications

  1. Mukherjee, S., D. Kumar, L. Udpa, and Y. Deng. Robust defect detection under uncertainties using spatially adaptive capacitive imaging. Journal of Applied Physics (2022)

  2. S. Mukherjee., L.Udpa, and Y. Deng. Dynamic Defect Detection in Fast, Robust NDE Methods by Transfer Learning Based Optimally Binned Hypothesis Tests. Research in Nondestructive Evaluation, Machine Learning in NDE (Volume 35, 2024)

  3. S. Mukherjee., L. Udpa, and Y. Deng. Enhanced defect detection in NDE using registration aided heterogeneous data fusion. NDT & E International, 2023

  4. Mukherjee, Subrata, Renrui Zhang, Mohand Alzuhiri, Varun Venkat Rao, Lalita Udpa, and Yiming Deng. Inline Pipeline Inspection Using Hybrid Deep Learning Aided Endoscopic Laser Profiling Journal of Non-destructive Evaluation, Springer (2022)

  5. Mukherjee, Subrata, Xuhui Huang, Lalita Udpa, and Yiming Deng. A Kriging-Based Magnetic Flux Leakage Method for Fast Defect Detection in Massive Pipelines Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems 5, no. 1 (2022)

  6. Lu, Wei, Mengjie Zeng, Ling Wang, Hui Luo, Subrata Mukherjee, Xuhui Huang, and Yiming Deng Navigation algorithm based on the boundary line of tillage soil combined with guided filtering and improved anti-noise morphology Sensors 19, no. 18 (2019): 3918.

  7. Shankar Aenagandula , Subrata Mukherjee, Neeraj Rao, and Yiming Deng Adaptive segmentation-based evaluation of material properties of dielectric sheets using microwave NDE Nondestructive Testing and Evaluation,2023

  8. X. Hunag, L. Peng, S. Mukherjee., C. Hamilton, X. Shi, V. Srinivasan, E. Davis and Y. Deng. Fast VGG: An Advanced Pre-Trained Deep Learning Framework for Multi-Layered Composite NDE via Multifrequency Near-Field Microwave Imaging Research in Nondestructive Evaluation, Machine Learning in NDE (Volume 35, 2024)

Book Chapter

  1. Signal and Image Processing for Electromagnetic testing, Subrata Mukherjee, Lalita Udpa (ASNT forthcoming 2024).

Peer Reviewed Conference Papers

  1. Mukherjee, Subrata, Thibaud Coroller, Craig Wang, Ravi k. Samala, Tingting Hu, Didem Gokcay Berkman Sahiner, Nicholas Petrick and Qian Cao. [Image Registration based Automated Lesion Correspondence and Tracking Pipeline for Longitudinal CT Data] accpeted in IEEE PHM 2024

  2. Mukherjee, Subrata, Xuhui Huang, Vivek T. Rathod, Lalita Udpa, and Yiming Deng. Defect Tracking Via NDE Based Transfer Learning

  3. Mukherjee, Subrata, Xuhui Huang, Lalita Udpa, and Yiming Deng. NDE Based Cost-Effective Detection of Obtrusive and Coincident Defects in Pipelines Under Uncertainties.

  4. Mukherjee, Subrata, Thibaud Coroller, Craig Wang, Ravi k. Samala, Tingting Hu, Didem Gokcay Berkman Sahiner, Nicholas Petrick and Qian Cao. [Early Assessment of Survival in Metastatic Breast Cancer: Radiomic Analysis from Initial Post-Treatment CT Data] submitted in RSNA 2024

  5. Subrata Mukherjee, Deepak Kumar, Lalita Udpa, and Yiming Deng. Accurate Material Characterization of Wideband RF Signals via Registration-based Curve Fitting Model using Microstrip Transmission Line.

  6. Mukherjee, Subrata, Lalita Udpa, and Yiming Deng. Enhanced Defect Detection in NDE Using Pixel Level Data Fusion.

  7. Mukherjee, Subrata, Xuhui Huang, Lalita Udpa, and Yiming Deng. A Kriging Based Fast and Efficient Method for Defect Detection in Massive Pipelines Using Magnetic Flux Leakages

  8. Mukherjee, Subrata, Xuhui Huang, Lalita Udpa, and Yiming Deng. Dynamic tracking of defects in pipelines via NDE based transfer learning

  9. Rathod, Vivek T., Subrata Mukherjee, and Yiming Deng. Machine learning enabled damage classification in composite laminated beams using mode conversion quantification

  10. Rathod, Vivek T., Subrata Mukherjee, Lalita Udpa, and Yiming Deng. Extracting Mode Converted Guided Wave Response due to Delamination using Embedded Thin Film Sensors.

  11. Palanisamy, Rajendra Prasath, Subrata Mukherjee, Mahmood Haq, and Yiming Deng. Rapid Material Characterization using Smart Skin with functional Data Analysis.

  12. Palanisamy, Rajendra Prasath, Portia Banerjee, Subrata Mukherjee, Mahmood Haq, and Yiming Deng. Fatigue damage prognosis in adhesive bonded composite lap-joints using guided waves.

  13. Li, Zi, Xuhui Huang, Obaid Elshafiey, Subrata Mukherjee, and Yiming Deng. FEM of Magnetic Flux Leakage Signal for Uncertainty Estimation in Crack Depth Classification using Bayesian Convolutional Neural Network and Deep Ensemble.