YOGESH KUMAR

About

Currently, I am working as Postdoctoral Fellow in the Department of Radiation Physics, University of Texas MD Anderson Cancer Center, Houston, TX.

Previously, I worked as Postdoctoral Fellow in the Department of Radiation Oncology, UAB Medicine, with Dr Carlos E Cardenas for three years, where my research work was focused on the clinical translation of artificial intelligence (AI)-based applications to improve cancer care. More specifically, I have worked on facilitating fully-automated solutions to improve post-radiotherapy follow-up assessment.

My research interests include Medical Image Processing / Medical Image Analysis / Automated Image Segmentation/ Automated Image Registration / AI.

My job responsibilities include handling Multi-modality Medical Image data (DICOM/NIFTI), data preprocessing, model training using various AI-based frameworks, Assessing Model performance, attending group meetings, manuscript writing, presenting research work in conferences/workshops, and grant writing.

Employment

• The University of Texas MD Anderson Cancer Center Postdoctoral Fellow
  2026 - Present
• University of Alabama at Birmingham Post-Doctoral fellow
  2023 - 2023
• CSIR Central Scientific Instruments Organisation ICMR- Research Associate
  2022 - 2023
• CSIR Central Scientific Instruments Organisation Project Associate-II
  2021 - 2022
• CSIR- Central Scientific Instruments Organisation Senior Research Fellow
  2018 - 2021
• CSIR- Central Scientific Instruments Organisation Junior Research Fellow
  2016 - 2018
• upsINVERTER.com R&D Engineer
  2015 - 2016

Education

• Central Scientific Instruments Organisation PhD
  2016 - Present
• Gautam Buddha University M Tech
  2012 - 2014

Projects & Funding

Projects & funding information is unavailable.

Publications (9)

• AI-based Framework to Fuse Pre-RT Brain Metastases Contours with Follow-up MRI to Improve Post-RT Assessment
  Neuro-Oncology Practice 2025 DOI: 10.1093/nop/npaf126
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• Demonstrating an Academic Core Facility for Automated Medical Image Processing and Analysis: Workflow Design and Practical Applications
  Diagnostics 2025 DOI: 10.3390/diagnostics15070803
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• An AI-Based Tool for Improved Follow-up Assessment of Brain Metastases after Radiotherapy
  AAPM 66th Annual Meeting & Exhibition 2024
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• Machine Learning-based Deep Analysis of Human Blood using NIR Spectrophotometry Signatures.
  Current medical imaging 2024 DOI: 10.2174/0115734056271761231204093832
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• Progressive evaluation in spectroscopic sensors for non-invasive blood haemoglobin analysis - a review
  Physiological Measurement 2021 DOI: 10.1088/1361-6579/ac41b7
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• NIR-based sensing system for non-Invasive detection of Hemoglobin for point-of-care applications.
  Current medical imaging 2021 DOI: 10.2174/1573405617666210823100316
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• A KNN-Based Approach for Myoelectric Arm
  Lecture Notes in Networks and Systems 2021 DOI: 10.1007/978-981-33-4501-0_29
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• Humanoid robots using optimization technique-a brief review
  International Journal of Scientific and Technology Research 2020
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• Design and Development of finger probe for diagnosis of Anemia non-invasively
  2019 3rd International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE) 2019 DOI: 10.1109/rdcape47089.2019.8979018
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