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Dr. Sandeep Singh

Assistant Professor, Department of Radiation Oncology, School of Medicine, Faridabad

Qualification: Ph.D. Physics (GLA University, 2025); Dip. Radiological Physics (BARC, 2016); M.Sc. Physics (GNDU, 2015); B.Sc. Physics (GNDU, 2013)
dr.sandeepkumar@fbd.amrita.edu
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Research Interest: Artificial Intelligence in Radiation Oncology, Medical Image Segmentation, Machine Learning for Treatment Planning, Radiotherapy QA Automation, Dosimetry, Image-Guided Radiotherapy

Bio

Dr. Sandeep Singh is a Medical Physicist, Certified Medical Physicist (CMPI), and Qualified Radiation Safety Officer (RSO) with expertise in advanced radiotherapy technologies including CyberKnife, Tomotherapy, IMRT, VMAT, SRS/SBRT, and HDR brachytherapy. His research focuses on artificial intelligence, machine learning applications in radiation oncology, medical image segmentation, radiotherapy automation, quality assurance, and radiation dosimetry. He has extensive experience in commissioning, treatment planning, quality assurance, radiation safety, and academic research.

Publications

Research Article

Year : 2026

Predicting patient setup shifts in daily radiotherapy using machine learning on phantom-based CBCT and kV/MV data

Cite this Research Publication : Anuj Kumar, Sandeep Singh, Supratik Sen, Abhay Kumar Singh, Dipesh, Benoy Kumar Singh, Manindra Bhushan, Soniya Pal, Munish Gairola, Predicting patient setup shifts in daily radiotherapy using machine learning on phantom-based CBCT and kV/MV data, Physica Medica, Elsevier BV, 2026, https://doi.org/10.1016/j.ejmp.2025.105711

Publisher : Elsevier BV

Year : 2026

Engineering dosimetric excellence in total body irradiation: Tomotherapy‐driven protocols for precision and reproducibility

Cite this Research Publication : Sandeep Singh, Dipesh, Supratik Sen, Abhay Kumar Singh, Mahipal, Manindra Bhushan, Jaskaran Singh Sethi, David K. Simson, Munish Gairola, Engineering dosimetric excellence in total body irradiation: Tomotherapy‐driven protocols for precision and reproducibility, Precision Radiation Oncology, Wiley, 2026, https://doi.org/10.1002/pro6.70049

Publisher : Wiley

Year : 2026

Bridging precision and practice: dual validation of a high-resolution detector array for beam profiling and patient QA in robotic radiosurgery

Cite this Research Publication : Sandeep Singh, Supratik Sen, Abhay Kumar Singh, Dipesh, Manindra Bhushan, Benoy Kumar Singh, Sarthak Tandon, Munish Gairola, Bridging precision and practice: dual validation of a high-resolution detector array for beam profiling and patient QA in robotic radiosurgery, Physical and Engineering Sciences in Medicine, Springer Science and Business Media LLC, 2026, https://doi.org/10.1007/s13246-026-01716-4

Publisher : Springer Science and Business Media LLC

Year : 2026

Retrospective analysis on large-scale in-vivo dosimetric verification of total body irradiation using helical tomotherapy with optically stimulated luminescence dosimeters

Cite this Research Publication : Sandeep Singh, Dipesh, Supratik Sen, Abhay Kumar Singh, Manindra Bhushan, Benoy Kumar Singh, Raj Pal Singh, Anuj Vijay, Jaskaran Singh Sethi, Munish Gairola, Retrospective analysis on large-scale in-vivo dosimetric verification of total body irradiation using helical tomotherapy with optically stimulated luminescence dosimeters, Radiological Physics and Technology, Springer Science and Business Media LLC, 2026, https://doi.org/10.1007/s12194-026-01029-x

Publisher : Springer Science and Business Media LLC

Year : 2026

Navigating the trade-offs: Evaluating sternal, skin, and low-dose exposure in bilateral breast cancer using helical and arc-based techniques

Cite this Research Publication : Supratik Sen, Sandeep Singh, Dipesh, Abhay Kumar Singh, Manindra Bhushan, Soniya Pal, Benoy Kumar Singh, Raj Pal Singh, Anuj Vijay, Munish Gairola, Navigating the trade-offs: Evaluating sternal, skin, and low-dose exposure in bilateral breast cancer using helical and arc-based techniques, Radiation Physics and Chemistry, Elsevier BV, 2026, https://doi.org/10.1016/j.radphyschem.2026.113978

Publisher : Elsevier BV

Year : 2026

From phantom to patient: machine-learning driven prediction of six-degree-of-freedom setup corrections in ring-gantry radiotherapy

Cite this Research Publication : Sandeep Singh, Supratik Sen, Dipesh, Abhay Kumar Singh, Manindra Bhushan, Soniya Pal, Benoy Kumar Singh, Raj Pal Singh, Anuj Vijay, Munish Gairola, From phantom to patient: machine-learning driven prediction of six-degree-of-freedom setup corrections in ring-gantry radiotherapy, Radiation Physics and Chemistry, Elsevier BV, 2026, https://doi.org/10.1016/j.radphyschem.2026.114100

Publisher : Elsevier BV

Year : 2025

Optimization and Quality Assurance of VMAT-Driven Lattice Radiotherapy in Large Tumors Across Anatomical Sites

Cite this Research Publication : A.K. Singh, S. Singh, S. Sen, A. Vijay, Dipesh, M. Bhushan, Mahipal, M. Omar, Optimization and Quality Assurance of VMAT-Driven Lattice Radiotherapy in Large Tumors Across Anatomical Sites, Clinical Oncology, Elsevier BV, 2025, https://doi.org/10.1016/j.clon.2025.103936

Publisher : Elsevier BV

Year : 2025

Quantification of head leakage radiation in CyberKnife robotic radiosurgery systems using a multimodal approach

Cite this Research Publication : Sandeep Singh, Manindra Bhushan, Pawan Kumar Singh, Debasish Sahoo, Supratik Sen, Dipesh, Abhay Kumar Singh, Mahipal, Munish Gairola, Quantification of head leakage radiation in CyberKnife robotic radiosurgery systems using a multimodal approach, Scientific Reports, Springer Science and Business Media LLC, 2025, https://doi.org/10.1038/s41598-025-18689-1

Publisher : Springer Science and Business Media LLC

Year : 2024

Multi-organ segmentation of organ-at-risk (OAR’s) of head and neck site using ensemble learning technique

Cite this Research Publication : S. Singh, B.K. Singh, A. Kumar, Multi-organ segmentation of organ-at-risk (OAR's) of head and neck site using ensemble learning technique, Radiography, Elsevier BV, 2024, https://doi.org/10.1016/j.radi.2024.02.001

Publisher : Elsevier BV

Year : 2022

Magnetic Resonance Imaging Image-Based Segmentation of Brain Tumor Using the Modified Transfer Learning Method

Cite this Research Publication : Sandeep Singh, Benoy Kumar Singh, Anuj Kumar, Magnetic Resonance Imaging Image-Based Segmentation of Brain Tumor Using the Modified Transfer Learning Method, Journal of Medical Physics, Medknow, 2022, https://doi.org/10.4103/jmp.jmp_52_22

Publisher : Medknow

Area of Expertise
  • Radiation Therapy Physics
  • IMRT
  • VMAT
  • SRS/SBRT
  • CyberKnife
  • Tomotherapy
  • HDR Brachytherapy
  • Machine Learning in Medical Physics
  • Quality Assurance
  • Radiation Safety
Qualifications
  • Ph.D. Physics (GLA University, 2025)
  • Dip. Radiological Physics (BARC, 2016)
  • M.Sc. Physics (GNDU, 2015)
  • B.Sc. Physics (GNDU, 2013)
FDP / Workshops

CyberKnife Physics Training (Remote); CyberKnife Treatment Planning Training; CyberKnife Physics Onsite Training; CyberKnife Go-Live Training

Membership

Association of Medical Physicist of India (Life Member)

Awards
  • CMPI Certification (2024)
  • RSO Qualification (2018)
Conferences Attended
  • ICMP 2023
  • ACFP 2022 & 2023
  • AROICON 2022
  • AMPICON 2017 & 2022
  • AAPM 2017 & 2019
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