Kanika Bhalla

About

Currently working as a Postdoctoral Research Associate in Mallinckrodt Institute of Radiology (MIR) at Washington University School of Medicine in St. Louis. Worked as an Assistant Lecturer in Chitkara University, India from 2016 - 2019. My intellectual goal is to close the gap between human understanding of unstructured multimodal medical data and computerized interpretability for creating the next-generation generalizable predictive modeling for clinical events.

My current research is focused on breast image analysis and integration of multisource medical data from varying hospital systems for building predictive model to predict different subtypes.

Competencies: Medical image analysis, computer vision and pattern recognition, deep learning, machine learning, image fusion, automatic optical inspection of TFT-LCD panel images.

Main awards:
🏆Best Paper Award by Journal of Visual Communications and Image Representation (Elsevier) 2023
🏆TFSA (Springer) Doctoral Dissertation Award
🏆Best Student Paper Award First Place by the iFuzzy 2022
🏆Winner of best PhD dissertation 3MT presentation competition by the Knight ADRC and Wisconsin ADRC
🏆Taipei Tech International Graduate student scholarship for PhD – NTUT
🏆Runner-up at the Health AI Datathon, Emory University, Atlanta, GA.

Employment

• National Taipei University of Technology PhD
  2019 - 2022
• Washington University School of Medicine in St Louis Continuing Medical Education Postdoctoral research associate

Education

• National Taipei University of Technology PhD
  2019 - 2022
• Chitkara University MS
  2016 - 2019
• Guru Nanak Dev University Btech
  2012 - 2016

Projects & Funding

Projects & funding information is unavailable.

Publications (10)

• Radiologic imaging biomarkers in triple-negative breast cancer: a literature review about the role of artificial intelligence and the way forward
  BJR|Artificial Intelligence 2024 DOI: 10.1093/BJRAI/UBAE016
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• Mathematical analysis of histogram equalization techniques for medical image enhancement: a tutorial from the perspective of data loss
  Multimedia Tools and Applications 2023 DOI: 10.1007/s11042-023-15799-8
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• A Modified Singular Value Decomposition Kernelized Neutrosophic Entropy Method for TFT-LCD Panel Defect Segmentation
  2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) 2022 DOI: 10.1109/smc53654.2022.9945576
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• A fuzzy convolutional neural network for enhancing multi-focus image fusion
  Journal of Visual Communication and Image Representation 2022 DOI: 10.1016/j.jvcir.2022.103485
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• Automatic Generation of Laser Cutting Paths in Defective TFT-LCD Panel Images by Using Neutrosophic Canny Segmentation
  IEEE Transactions on Instrumentation and Measurement 2022 DOI: 10.1109/TIM.2022.3175038
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• Fusion of infrared and visible images using fuzzy based siamese convolutional network
  Computers, Materials and Continua 2022 DOI: 10.32604/cmc.2022.021125
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• An adaptive thresholding based method to locate and segment defects on LCD panels
  Proceedings of 2021 International Conference on System Science and Engineering, ICSSE 2021 2021 DOI: 10.1109/ICSSE52999.2021.9538470
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• Wavelet K-Means Clustering and Fuzzy-Based Method for Segmenting MRI Images Depicting Parkinson’s Disease
  International Journal of Fuzzy Systems 2021 DOI: 10.1007/s40815-021-01053-6
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• A COMPARATIVE ANALYSIS OF COVID–19 BETWEEN INDIA AND OTHERS USING DATA MINING AND MACHINE LEARNING APPROACH
  International Journal of Engineering Applied Sciences and Technology 2020
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• Comparative Analysis of Image Fusion Methods
  PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMPUTING FOR SUSTAINABLE GLOBAL DEVELOPMENT (INDIACOM) 2019
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