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Hire Durgesh D.

India

USD 250 /hr

Medical Imaging & AI Expert with 11+ years of experience | Independent Consultant

Profile Summary

I am a seasoned biomedical imaging consultant with over 11 years of post-PhD experience in quantitative MRI, CT, and AI-powered radiogenomics, specializing in precision diagnostics for oncology and neurology. Skilled in medtech innovation and healthcare technology translation, I offer a unique blend of scientific depth, strategic insight, and technical savvy—proficient in presentations, demonstrations, and end-to-end solutions from planning to execution—to deliver high-impact imaging outcomes. My expertise encompasses advanced techniques such as multidimensional hybrid MRI, arterial spin labeling (ASL), diffusion tensor imaging (DTI), and magnetic resonance spectroscopy (MRS), integrated with deep learning and radiomics pipelines for predictive modeling and clinical decision support. I have led multi-million research programs, including a ₹27M for AI and advanced MRI funded by ICMR, and published in premier journals such as Radiology and Clinical Cancer Research. Collaborations include the University of Chicago, UT Southwestern, and the ISMRM Executive Committee. As a government expert for Uttar Pradesh, I advise on MRI and CT procurement. Passionate about collaborative innovation across healthcare, academia, and industry, my consulting services include: • Product development (CT & MRI) and tender processes • Scientific and Technical Consulting • AI protocol development • Clinical trial imaging strategy • Imaging-based medical device validation • Grant writing and research strategy • Scientific communication and training programs Whether building next-generation diagnostics or optimizing workflows, I provide actionable expertise and a global perspective to achieve measurable results.

Subject Matter Expertise

• ☆ Medical Imaging/Radiology
• ☆ Magnetic Resonance Imaging (MRI)
• ☆ Medical X-Ray
• ☆ Computed Tomography (CT)

Services

• Writing
• Research
• Consulting
• Product Development

Writing Medical Writing, Newswriting

Research Feasibility Study, Gap Analysis, Scientific and Technical Research

Consulting Scientific and Technical Consulting

Product Development Product Evaluation, Product Compliance

Work Experience

Additional Professor

King George's Medical University

2022 - Present

Associate Professor (Tenured)

King George's Medical University

August 2019 - 2022

Assistant Professor

King George's Medical University

August 2013 - August 2019

Education

Postdoctoral Fellowship (Radiology)

University of Texas Southwestern Medical Center

September 2016 - August 2019

Ph.D. (NMR & MRI)

All India Institute of Medical Sciences

2009 - 2014

M.Sc. (Nuclear Medicine)

All India Institute of Medical Sciences

2006 - 2008

Certifications

• Leadership Programme

  IIM Mumbai

  July 2025 - July 2025

Publications

JOURNAL ARTICLE

Shailendra K Chaudhary, Nitin Arun Dikshit, Neha Yadu, Anit Parihar, Neera Kohli, Durgesh Kumar Dwivedi, Durgesh Kumar Dwivedi (2024). Efficacy of ultrasonography and color-Doppler for early prediction of hemodialysis arteriovenous fistula unassisted maturation . The Journal of Vascular Access.

Bane O, Dwivedi DK, Francis ST, Karampinos D, Wu HH, Yokoo T (2024). Quantitative body magnetic resonance imaging: how to make it work . Magma (New York, N.Y.).

Aritrick Chatterjee, Dwivedi DK, Durgesh Kumar Dwivedi (2024). MRI-based virtual pathology of the prostate . Magma (New York, N.Y.).

Sonal Sachan and Swastika Suvirya and Krishna Yadav and Prashant Gupta and Abir Saraswat and Parul Verma and Usha Chandra and Balendra Pratap Singh and Shyam Chand Chaudhary and Durgesh Kumar Dwivedi and Ravindra Kumar Garg and Atin Singhai and Kiran Preet Malhotra and Anit Parihar and Saurabh Kumar(2022). Mucocutaneous manifestations of COVID-19-associated mucormycosis: A retrospective cross-sectional study . Indian Journal of Dermatology, Venereology and Leprology. 89. p. 510--523. Scientific Scholar

Emerging MR methods for improved diagnosis of prostate cancer by multiparametric MRI Dwivedi DK, Jagannathan NR. Emerging MR methods for improved diagnosis of prostate cancer by multiparametric MRI. MAGMA. 2022 Jul 22. doi: 10.1007/s10334-022-01031-5. Epub ahead of print. PMID: 35867236 . Magnetic Resonance Materials in Physics, Biology and Medicine.

Durgesh K. Dwivedi(2021). Editorial for "Voxel-level Classification of Prostate Cancer on MRI: Improving Accuracy Using Four-Compartment Restriction Spectrum Imaging" . Journal of Magnetic Resonance Imaging. 54. (3). p. 985--986. Wiley

(2021). Deciphering Intratumoral Molecular Heterogeneity in Clear Cell Renal Cell Carcinoma with a Radiogenomics Platform . Clinical Cancer Research : an official journal of the American Association for Cancer Research.

(2020). Impact of Bedside Combined Cardiopulmonary Ultrasound on Etiological Diagnosis and Treatment of Acute Respiratory Failure in Critically Ill Patients . Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine.

(2020). Magnetic Resonance Imaging Radiomics Analyses for Prediction of High-Grade Histology and Necrosis in Clear Cell Renal Cell Carcinoma: Preliminary Experience . Clinical genitourinary cancer.

(2020). Effect of Echo Times on Prostate Cancer Detection on T2-Weighted Images . Academic radiology.

(2019). The Association of Background Parenchymal Enhancement at Breast MRI with Breast Cancer: A Systematic Review and Meta-Analysis . Radiology.

Dwivedi, D.K., Kumar, R., Dwivedi, A.K., Bora, G.S., Thulkar, S., Sharma, S., Gupta, S.D., Jagannathan, N.R.(2018). Prebiopsy multiparametric MRI-based risk score for predicting prostate cancer in biopsy-naive men with prostate-specific antigen between 4–10 ng/mL . Journal of Magnetic Resonance Imaging. 47. (5). p. 1227-1236.

Dwivedi, D.K., Chatzinoff, Y., Zhang, Y., Yuan, Q., Fulkerson, M., Chopra, R., Brugarolas, J., Cadeddu, J.A., Kapur, P., Pedrosa, I.(2018). Development of a Patient-specific Tumor Mold Using Magnetic Resonance Imaging and 3-Dimensional Printing Technology for Targeted Tissue Procurement and Radiomics Analysis of Renal Masses . Urology. 112. p. 209-214.

Rathore R, Parihar A, Dwivedi DK, Dwivedi AK, Kohli N, Garg RK, Chandra A(2017). Predictive Models in Differentiating Vertebral Lesions Using Multiparametric MRI . AJNR. American journal of neuroradiology.

Dwivedi DK, Chatzinoff Y, Zhang Y, Yuan Q, Fulkerson M, Chopra R, Brugarolas J, Cadeddu JA, Kapur P, Pedrosa I(2017). Development of a Patient-specific Tumor Mold Using Magnetic Resonance Imaging and 3-Dimensional Printing Technology for Targeted Tissue Procurement and Radiomics Analysis of Renal Masses . Urology.

Durgesh Kumar Dwivedi, Rajeev Kumar, Alok Kumar Dwivedi, Girdhar S. Bora, Sanjay Thulkar, Sanjay Sharma, Siddhartha Datta Gupta, Naranamangalam R. Jagannathan(2017). Prebiopsy multiparametric MRI-based risk score for predicting prostate cancer in biopsy-naive men with prostate-specific antigen between 4-10 ng/mL . Journal of Magnetic Resonance Imaging. Wiley-Blackwell

Zhang Y, Udayakumar D, Cai L, Hu Z, Kapur P, Kho EY, Pavía-Jiménez A, Fulkerson M, de Leon AD, Yuan Q, et al.(2017). Addressing metabolic heterogeneity in clear cell renal cell carcinoma with quantitative Dixon MRI . JCI insight.

Rathore, R., Parihar, A., Dwivedi, D.K., Dwivedi, A.K., Kohli, N., Garg, R.K., Chandra, A.(2017). Predictive models in differentiating vertebral lesions using multiparametric mri . American Journal of Neuroradiology. 38. (12). p. 2391-2398.

Suvirya, S., Thakur, A., Pandey, S.S., Tripathi, S.K., Dwivedi, D.K.(2016). Altered Levels of Serum Zinc and Cadmium in Patients with Chronic Vesiculobullous Hand and Feet Dermatitis . Dermatology Research and Practice. 2016.

Dwivedi, D.K., Kumar, R., Bora, G.S., Thulkar, S., Sharma, S., Gupta, S.D., Jagannathan, N.R.(2016). Stratification of the aggressiveness of prostate cancer using pre-biopsy multiparametric MRI (mpMRI) . NMR in Biomedicine. 29. (3). p. 232-238.

Dwivedi, D.K., Kumar, R., Bora, G.S., Sharma, S., Thulkar, S., Gupta, S.D., Jagannathan, N.R.(2016). Multiparametric MR can identify high grade prostatic intraepithelial neoplasia (HGPIN) lesions and predict future detection of prostate cancer in men with a negative initial prostate biopsy . Magnetic Resonance Imaging. 34. (8). p. 1081-1086.

Kumar, V., Dwivedi, D.K., Jagannathan, N.R.(2014). High-resolution NMR spectroscopy of human body fluids and tissues in relation to prostate cancer . NMR in Biomedicine. 27. (1). p. 80-89.

Javali, T.D., Dwivedi, D.K., Kumar, R., Jagannathan, N.R., Thulkar, S., Dinda, A.K.(2014). Magnetic resonance spectroscopy imaging-directed transrectal ultrasound biopsy increases prostate cancer detection in men with prostate-specific antigen between 4-10ng/mL and normal digital rectal examination . International Journal of Urology. 21. (3). p. 257-262.

Health Vol. 4 No. 2 (2012) , Article ID: 17482 , 14 pages .

Dwivedi, D.K., Kumar, V., Javali, T., Dinda, A.K., Thulkar, S., Jagannathan, N.R., Kumar, R.(2012). A positive magnetic resonance spectroscopic imaging with negative initial biopsy may predict future detection of prostate cancer . Indian Journal of Urology. 28. (2). p. 243-245.

Dwivedi, D.K., Snehlata, Dwivedi, A.K., Lochab, S.P., Kumar, R., Naswa, N., Sharma, P., Malhotra, A., Bandopadhayaya, G.P., Bal, C., et al.(2011). Radiation exposure to nuclear medicine personnel handling positron emitters from Ge-68/Ga-68 generator . Indian Journal of Nuclear Medicine. 26. (2). p. 86-90.

BOOK CHAPTER

Dwivedi, Durgesh K. and Parihar, Anit and Kohli, Neera and Dandu, Himanshu R. and Saxena, Shailendra K.(2020). Radiological Perspective of the Novel Coronavirus Disease 2019 (COVID-19) . Diagnostic Strategies for COVID-19 and other Coronaviruses. p. 37--49. Springer Singapore