• Assistant Professor (Gen AI Developer- Healthcare Software) | Institute of Liver and Biliary Sciences (ILBS), Delhi (Dec 2025 – Present)
• Scientist – D and Senior Project Scientist | Indian Institute of Technology (IIT) Delhi (Nov 2020  – Sep 2025)
• Part-time Lecturer (Medical Imaging) | NIPER Hyderabad (Aug 2024 – Dec 2025)
• Lecturer (Computer Science & Engineering) | Meghnad Saha Institute of Technology, WBUT, Kolkata (Jul 2003 – Jun 2006)

• Ph.D. in Biomedical Image Processing | Indian Institute of Technology (IIT) Delhi, India (2020)
  • Thesis: Intravoxel Incoherent Motion (IVIM) and Multi-parametric MRI Analysis for Chemotherapy Response Evaluation in Bone Tumor
• M.Tech in Computer Science & Engineering | Jaypee Institute of Information Technology (JIIT), Noida, India (2014) — Vice Chancellor’s Gold Medalist
• B.Tech in Computer Science & Engineering | Netaji Subhash Engineering College, WB, India (2003)

• ISMRM Merit Award (Magna Cum Laude) | International Society for Magnetic Resonance in Medicine (2020)
• Research Associate Fellowship | Indian Council of Medical Research (ICMR) in Biomedical Informatics (2022)
• E. K. Zavoisky & ISMRM Educational Stipends | ISMRM Annual Meetings (2016–2019, 2021–2023, 2026)
• Vice Chancellor's Gold Medal | Rank 1 in M.Tech CSE, JIIT Noida (2014)
• International Travel Awards | SERB-DST, CSIR, ICMR, IIT Delhi and INSA

Membership:

• Life member of the International Society for Magnetic Resonance in Medicine – India Chapter from 2023.
• International Society for Magnetic Resonance in Medicine (ISMRM.org), 2015 – 2026.

• Applications of Artificial Intelligence in Health informatics, Medical Imaging, particularly Multi-parametric MRI and computed tomography (CT) features for diagnosis, grading, treatment monitoring, and development of Computer-Aided Diagnosis (CAD) systems.
• Computer Vision and Medical Image Processing
  • Segmentation and classification of tissues
  • Mitigation of noise and artifacts
• Simulation for clinical teaching and training, 3D modelling and printing of anatomy.
• Video and image processing and development of software as part of multi-disciplinary basic scientific research to solve a variety of real-life problems.

Thesis Guidance as Co-supervisor:

• Master of Dental Surgery (MDS in 2025): 2
• Doctorate of Medicine (DM in Hepatology, Anaesthesiology, in 2026): 2
• Mentored B.Tech and M.Tech Thesis & Projects: 20+

Reviewer of Journals:

Hepatology International | Proceedings of the Indian National Science Academy | Computers in Biology and Medicine | Acta Radiologica | NMR in Biomedicine | Scientific Reports | BMC Cancer | BMC Medical Imaging | Journal of Cancer Research and Clinical Oncology | BMC Pediatrics

Conference Workshop Conducted/Organized:

• 1. Organizing committee member of National Workshop on HPB Pathology Whole Slide Imaging: Analysis and AI-based Utility for Diagnosis and Research, 7-9 August 2026, Institute of Liver and Biliary Sciences New Delhi, India.
• 2. Conducted Workshop on Research Methodology, 17 – 18 May 2025, Apollo Simulation Centre, Apollo Chennai, India.
• 3. Conducted Workshop on Statistical Machine Learning for Digital Health in the Indo-French Workshop on Artificial Intelligence, Healthcare, and the Way Forward for India and France, 22-24 March 2025, Indian Institute of Technology (IIT) Delhi, New Delhi, India.
• 4. Conducted workshop on Artificial Intelligence and Machine Learning in Oral health at XX IAOMP National PG convention – 2023 under the Division of Oral Pathology and Microbiology, Centre for Dental Education & Research, AIIMS on 21 – 22 July at JLN Auditorium, AIIMS New Delhi.
• 5. Conducted hands-on Workshop Session on Basic Medical Image Processing in National Workshop on Computational Methods for Medical Image Analysis, 18^th – 20^th April 2019, at Jaypee Institute of Information Technology, Noida, India.

Invited Lectures/ Oral Presentations at National & International Conferences/Workshops:

• 1. Delivered a lecture on AI Applications and Clinical Translation in HPB, in the National Workshop on HPB Pathology Whole Slide Imaging, 7-9 August 2026, Institute of Liver and Biliary Sciences, New Delhi, India.
• 2. Delivered a lecture on Applications of AI and Machine Learning in liver disease: Case-based approach in the 7th Edition of Decision, Reasoning, Innovation & Learning in Liver Disease (DRILLS) organized by the Institute of Liver and Biliary Sciences, 13- 14 June 2026, New Delhi, India.
• 3. Delivered a lecture on Diffusion MRI: Radiomics and AI for Cancer Prognostication in the ISMRM India Chapter Annual Conference 2026, hosted by the Department of Imaging Science and Interventional Radiology, Shree Chitra Tirunal Institute of Medical Science and Technology, 27 February – 1 March 2026, Thiruvananthapuram, Kerala, India.
• 4. Delivered a lecture on Ethical Implications of Artificial Intelligence in LT, in the session Technological Revolution in LT, at 7^th AILBS International Conference, on “Balancing Donor Safety and Recipient Needs”, organized by the Advanced Institute of Liver & Biliary Sciences, 23 – 24 January 2026, The Imperial, Janpath, New Delhi, India.
• 5. Delivered a lecture on Application of ML models for Healthcare data using Texture features, classifiers, and clinical use cases, in the online Executive Program on AI in Healthcare, under CEP, IIT Delhi, on 7 December 2025.
• 6. Delivered a lecture on Texture analysis: Basics of texture analysis in medical imaging, texture feature computation, in the online Executive Program on AI in Healthcare, under CEP, IIT Delhi, on 6 December 2025.
• 7. Delivered a lecture on Medical Image Processing with AI for Oncology Prognosis in Bone Cancer and Liver Cancer in the AI in Healthcare Workshop by Centre for Biomedical Engineering, IIT Delhi, on 5 July 2025, at Institute of Liver and Biliary Sciences (ILBS), New Delhi, India.
• 8. Delivered a lecture on Lung Metastatic Nodule Detection – An AI Approach in the Indo-French Workshop on Artificial Intelligence, Healthcare, and the Way Forward for India and France, 22-24 March 2025, Indian Institute of Technology (IIT) Delhi, New Delhi, India.
• 9. Lead the lecture on Software for AI/ML, Tools & Solution for Beginners in the Workshop on AI in Healthcare, by AIIMS New Delhi and IIT Delhi on 28 February 2023 at AIIMS New Delhi.
• 10. Delivered lecture on Artificial Intelligence in Covid Diagnosis and Care in PRAKASHMAY (Pandemic Related Awareness Knowledge and Action Supported Health Management Amongst Youth) Training for Final year Medical students and Interns in October, 2023 in All India Institute of Medical Sciences (AIIMS) New Delhi.
• 11. Delivered lecture on Working with Deep Learning and Its Challenges in Medical Image Analysis in AICTE sponsored Short Term Training Programme on Trends and Challenges in Medical Image Analysis through Deep Learning Algorithms, Phase III, 23^rd -28^th August 2021 at Velagapudi Ramakrishna Siddhartha Engineering College, Vijayawada, Andhra Pradesh through online mode.
• 12. Delivered lecture on Basic MRI concept and Quantitative Diffusion MRI in National Workshop on Computational Methods for Medical Image Analysis, 18^th – 20^th April 2019, at Jaypee Institute of Information Technology, Noida, India.
• 13. Baidya Kayal E., Chhabra K., et al. ‘Automated Texture Feature Based Bone Tumor Segmentation and Image Analysis using Supervised Machine Learning’. International Conference on Computer, Electrical & Communication Engineering, 2 – 3 February 2024, Kolkata, India, pp. 1-5, doi: 10.1109/ICCECE58645.2024.10497197.
• 14. Baidya Kayal E., Alampally, J.T., et al. ‘Early chemotherapeutic response evaluation in Ewing Sarcoma using diffusion weighted MRI’. Joint Annual Meeting ISMRM-ESMRMB & ISMRT, 7 – 12 May 2022, London, United Kingdom. Proc. Intl. Soc. Mag. Reson. Med. 30 (2022) 0408.
• 15. Baidya Kayal E., Sharma, N., et al. ‘Tumor T1 for early chemotherapeutic response evaluation in patients with osteosarcoma with correlation to histological necrosis’. ISMRM & SMRT Annual Meeting & Exhibition – An Online Experience, 15 – 20 May 2021. Proc. Intl. Soc. Mag. Reson. Med. 29 (2021) 0848.
• 16. Baidya Kayal E., Sharma, N., et al. ‘Can Tumor T1 Serve as Early Response Imaging Biomarker for Neoadjuvant Chemotherapy in Osteosarcoma? A Preliminary Study’. ISMRM & SMRT Virtual Meeting & Exhibition, 8 – 14 August 2020. Proc. Intl. Soc. Mag. Reson. Med. 28 (2020) 0261.
• 17. Baidya Kayal E., Kandasamy D., et al. ‘IVIM Analysis in Response Evaluation of Osteosarcoma Treated with Neoadjuvant Chemotherapy: Correlation with Histopathological Necrosis’. ISMRM: Annual Meeting & Exhibition, 11-16 May 2019, Montréal, QC, Canada. Proc. Intl. Soc. Mag. Reson. Med. 27 (2019) 0870.
• 18. Baidya Kayal E., Kandasamy D., et al. ‘Quantitative estimation of IVIM parameters and Histogram analysis of Diffusion MRI in Ewing’s Sarcoma Family of Tumours’. CARS 2016—Computer Assisted Radiology and Surgery Proceedings of the 30th International Congress and Exhibition Heidelberg, Germany, 21–25 June 2016. Int J CARS 11 (Suppl 1), 1–286 (2016). https://doi.org/10.1007/s11548-016-1412-5
• 19. Baidya Kayal E., Goel S.; ‘LectureKhoj: Automatic tagging and semantic segmentation of online lecture videos’. International Conference in Contemporary Computing (IC3), IEEE Xplore Conference Proceedings 2014. ISBN 978-1-4799-5172-7. DOI 10.1109/IC3.2014.6897144.

23 Journal Papers | 2 Book Chapters | 50+ Conference Papers & Abstracts |

Citations: 457+ | h-index: 12 | i10-index: 14 | Total Impact Factor: 76

Journal Publications

• 1. Mukkelli, V. G., Khanna, P., Mehndiratta, A., Rewari, V., Anand, R. K., Ray, B. R., Soneja, M., Ray, A., Jorwal, P., Nischal, N., Jamshed, N., Baidya Kayal, E., & Diwan, S. (2026). Development and validation of Machine Learning model to predict refractory septic shock. Shock. 2026;66(3):715-726. doi:10.1097/SHK.0000000000002835. Impact Factor: 2.9
• 2. Mendiratta S., Mukkelli V.G., Baidya Kayal E., Khanna P., Mehndiratta A. Early prognosis prediction in mechanically ventilated patients using machine learning for tertiary care hospital settings. Journal of Clinical Monitoring and Computing. (2025). DOI: 10.1007/s10877-025-01387-8. (Springer). Impact Factor: 2.4
• 3. Malagi A.V., Baidya Kayal E., Kandasamy D. Pushpam D., Khare K., Sharma R., Kumar R., Bakhshi S., Mehndiratta A . Lymphoma classification with multi-parametric texture analysis of DWI and PET imaging in Hodgkin and non-Hodgkin lymphoma: a pilot study. Magnetic Resonance Materials in Physics, Biology and Medicine, 39(2):289-304. (2025). Doi:10.1007/s10334-025-01306-7. (Springer). Impact Factor: 2.8
• 4. Mendiratta S., Mukkelli V.G., Baidya Kayal E., Khanna P., Mehndiratta A. Predicting mechanical ventilation duration in ICU patients: A data-driven machine learning approach for clinical decision-making. Digital Health . 2025;11. doi:10.1177/20552076251352988. (Sage Journals). Impact Factor: 4.2
• 5. Diwan, S., Gandhi, V., Baidya Kayal E., Khanna P., Mehndiratta A. Explainable machine learning models for mortality prediction in patients with sepsis in tertiary care hospital ICU in low- to middle-income countries. Intensive Care Medicine Experimental , 13, 56 (2025). https://doi.org/10.1186/s40635-025-00765-5 . (Springer Nature). Impact Factor: 3.1
• 6. Baidya Kayal, E., Ganguly, S., Sasi A., Dheeksha DS., Saini M., Sharma S., Gupta S., Sharma N., Rangarajan K., BakhshiS., Kandasamy D., Mehndiratt A. 3D segmentation of whole lung and metastatic lung nodules using adaptive region growing and shape-based morphology . Journal of Computer Assisted Tomography. 49(4), 611–624, (2025). doi: 10.1097/RCT.0000000000001719 (Wolters Kluwer). Impact Factor: 1.4
• 7. Baidya Kayal E., Ganguly S., Kandasamy D., Khare K., Sharma R., Bakhshi S., Mehndiratta, A. Reproducibility of Spatial Penalty-based Methodologies for Intravoxel Incoherent Motion Analysis with Diffusion MRI. Scientific Reports, 14, 22811 (2024). https://doi.org/10.1038/s41598-024-71173-0 . (Springer Nature ). Impact Factor: 4.8
• 8. Rikhari, H., Baidya Kayal, E., Ganguly, S. Sasi A., Sharma S., Antony A., Rangarajan K., Bakhshi S., Kandasamy D., Mehndiratta A. Improving lung nodule segmentation in thoracic CT Scans through the ensemble of 3D U-Net models. International Journal of Computer Assisted Radiology and Surgery (2024). doi: 10.1007/s11548-024-03222-y. (Springer). Impact Factor: 3.0
• 9. Baidya Kayal E., Kandasamy D., Yadav R., Khare K., Bakhshi S., Sharma R., Mehndiratta, A. Radiologists’ Rating for Comparative Qualitative Assessment of Intravoxel Incoherent Motion using Novel Analysis Methods. Journal of Computer Assisted Tomography . 3/4 2024;48(2): 263-272. doi: 10.1097/RCT.0000000000001540. (Wolters Kluwer). Impact Factor: 1.4
• 10. Rikhari, H., Baidya Kayal, E., Ganguly, S. Sharma S., Dheeksha DS., Saini M., Rangarajan K., Bakhshi S., Kandasamy D., Mehndiratta A. Fully automatic deep learning-based lung parenchyma segmentation and boundary correction in thoracic CT scans. International Journal of Computer Assisted Radiology and Surgery . 2024;19: 261–272. doi:10.1007/s11548-023-03010-0. (Springer). Impact Factor: 3.0
• 11. Baidya Kayal, E., Ganguly, S., Sasi A., Sharma S., Dheeksha DS., Saini M., Rangarajan K., Kandasamy D., BakhshiS., Mehndiratta A. A Proposed Methodology for Detecting Malignant Potential of Pulmonary Nodules in Sarcoma Using Computed Tomographic Imaging and Artificial Intelligence-Based Models. Frontiers in Oncology
  Thoracic Oncology. 2023 Aug 21; 13:1212526. doi: 10.3389/fonc.2023.1212526. (Frontiers). Impact Factor: 3.4
• 12. Baidya Kayal E., Alampally J.T., Sharma R., Bakhshi S., Mehndiratta A., Kumar R., Chandrashekhara S.H., Jana M., Seith Bhalla A., Sharma M.C., Mridha A.R., Vishnubhatla S., Kandasamy D. Chemotherapy response evaluation using diffusion weighted MRI in Ewing Sarcoma: A single center experience. Acta Radiologica (Stockholm, Sweden: 1987). 2023;64(4):1508-1517. (Sage Journals). Impact Factor: 1.3
• 13. Baidya Kayal, E., Bakhshi, S., Kandasamy, D., Sharma M.C., Khan S.A., Kumar V.S., Khare K., Sharma R., Mehndiratta A. Non-invasive intravoxel incoherent motion MRI in prediction of histopathological response to neoadjuvant chemotherapy and survival outcome in osteosarcoma at the time of diagnosis. Journal of Translational Medicine. 2022 Dec 27;20(1):625. doi: 10.1186/s12967-022-03838-1 . (BMC, Springer Nature). Impact Factor: 9.7
• 14. Baidya Kayal E., Sharma N., Sharma R., Bakhshi S., Kandasamy D., Mehndiratta, A. T1 mapping as a surrogate marker of chemotherapy response evaluation in patients with osteosarcoma. European Journal of Radiology. 2022; 148: 110170. doi: 10.1016/j.ejrad.2022.110170. (Elsevier) Impact Factor: 3.9
• 15. Kumar B., Lochab P., Baidya Kayal E., Ghai DP., Senthilkumaran P. & Khare K. Speckle in polarization structured light . Journal of Modern Optics . 2021;69(1): 47-54. doi: 10.1080/09500340.2021.1996646. (Taylor & Francis) Impact Factor: 0.9
• 16. Malagi AV., Netaji A., Kumar V., Baidya Kayal E., Khare K., Das CJ., Calamante F., Mehndiratta A. IVIM–DKI for differentiation between prostate cancer and benign prostatic hyperplasia: comparison of 1.5 T vs. 3 T MRI . Magnetic Resonance Materials in Physics, Biology and Medicine . 2021; 1-12. doi: 10.1007/s10334-021-00932-1. (Springer). Impact Factor: 2.8
• 17. Baidya Kayal E., Kandasamy D., Khare K., Bakhshi S., Sharma R., Mehndiratta, A. Texture Analysis for Chemotherapy Response Evaluation in Osteosarcoma using MR Imaging. NMR in Biomedicine. 2021;34(2): e4426. doi: 10.1002/nbm.4426. (Wiley). Impact Factor: 2.8
• 18. Baidya Kayal E., Kandasamy D., Yadav R., Bakhshi S., Sharma R., Mehndiratta, A. Automatic segmentation and RECIST score evaluation in osteosarcoma using diffusion MRI: A computer aided system process. European Journal of Radiology. 2020;133: 109359. doi: 10.1016/j.ejrad.2020.109359. (Elsevier) Impact factor: 3.9
• 19. Baidya Kayal E., Kandasamy D., Sharma R., Bakhshi S., Mehndiratta, A. Segmentation of Osteosarcoma Tumor using Diffusion Weighted MRI: A Comparative Study using Nine Segmentation Algorithms. Signal, Image and Video Processing . 2019;14(4): 727-735. doi: 10.1007/s11760-019-01599-x. (Springer). Impact factor: 2.5
• 20. Baidya Kayal E., Kandasamy D., Sharma R., Sharma MC., Bakhshi S., Mehndiratta, A. SLIC-Supervoxels based Response Evaluation of Osteosarcoma treated with Neoadjuvant Chemotherapy using Multi-parametric MR Imaging. European Radiology. 2019;30(6): 3125-3136. doi: 10.1007/s00330-019-06647-1. (Springer). Impact factor: 5.7
• 21. Nayek A., Baidya Kayal E., Arya M., Culli J., Krishan S., Agarwal S., Mehndiratta A. Computer Aided Diagnosis of Cirrhosis and Hepatocellular Carcinoma using Multi-Phase Abdomen CT . International Journal of Computer Assisted Radiology and Surgery . 2019; 14(8): 1341-1352. doi: 10.1007/s11548-019-01991-5. (Springer). Impact Factor: 3.0
• 22. Baidya Kayal E., Kandasamy D., Khare K., Bakhshi S., Sharma R., Mehndiratta, A. Intravoxel Incoherent Motion (IVIM) for Response Assessment in Patients with Osteosarcoma undergoing Neoadjuvant Chemotherapy. European Journal of Radiology. 2019;119: 108635. doi: 10.1016/j.ejrad.2019.08.004. (Elsevier) Impact Factor: 3.9
• 23. Baidya Kayal E., Kandasamy D., Khare K., Alampally J.T., Bakhshi S., Sharma R., Mehndiratta, A. Quantitative Analysis of Intravoxel Incoherent Motion (IVIM) Diffusion MRI using Total Variation and Huber Penalty Function . Medical Physics . 2017;44(11): 5849-5858. doi: 10.1002/mp.12520. (Wiley). Impact Factor: 3.2

Book Chapter

• 1. Baidya Kayal E., Ravikumar RH. Artificial intelligence and informatics in the ICU. In: Baidya DK, Prabhakar H (Editors). Washington Manual of Critical Care Second South Asian Edition 2025; Wolters Kluwer India Pvt. Ltd.; Pages 1048-56. Print ISBN 978-93-48816-70-2. Online ISBN 978-93-48816-75-7.
• 2. Flechsig P., Baidya Kayal E., Mehndiratta A., Giesel F.L. (2018) Lung Nodule Detection Using PET/MRI . In: Iagaru A., Hope T., Veit-Haibach P. (eds) PET/MRI in Oncology. Springer, Cham. doi: https://doi.org/10.1007/978-3-319-68517-5_13. Print ISBN 978-3-319-68516-8. Online ISBN 978-3-319-68517-5.