Dr Rajat Vashistha
Postdoctoral Research Fellow
Frazer Institute
Book Chapter
Vashistha, Rajat, Yadav, Dinesh, Chhabra, Deepak and Shukla, Pratyoosh (2018). Artificial intelligence integration for neurodegenerative disorders. Leveraging Biomedical and Healthcare Data: Semantics, Analytics and Knowledge. (pp. 77-89) Elsevier. doi: 10.1016/B978-0-12-809556-0.00005-8
Journal Articles
Vashistha, Rajat, Moradi, Hamed, Hammond, Amanda, O’Brien, Kieran, Rominger, Axel, Sari, Hasan, Shi, Kuangyu, Vegh, Viktor and Reutens, David (2025). Non-invasive arterial input function estimation using an MRA atlas and machine learning. EJNMMI Research, 15 (1) 58, 58-1. doi: 10.1186/s13550-025-01253-3
Vashistha, Rajat, Vegh, Viktor, Moradi, Hamed, Hammond, Amanda, O’Brien, Kieran and Reutens, David (2024). Modular GAN: positron emission tomography image reconstruction using two generative adversarial networks. Frontiers in Radiology, 4 1466498, 1-16. doi: 10.3389/fradi.2024.1466498
Vashistha, Rajat, Almuqbel, Mustafa M, Palmer, Nick J, Keenan, Ross J, Gilbert, Kevin, Wells, Scott, Lynch, Andrew, Li, Andrew, Kingston‐Smith, Stephen, Melzer, Tracy R, Koerzdoerfer, Gregor and O'Brien, Kieran (2024). Evaluation of deep‐learning TSE images in clinical musculoskeletal imaging. Journal of Medical Imaging and Radiation Oncology, 68 (5), 556-563. doi: 10.1111/1754-9485.13714
Moradi, Hamed, Vashistha, Rajat, Ghosh, Soumen, O’Brien, Kieran, Hammond, Amanda, Rominger, Axel, Sari, Hasan, Shi, Kuangyu, Vegh, Viktor and Reutens, David (2024). Automated extraction of the arterial input function from brain images for parametric PET studies. EJNMMI Research, 14 (1) 33, 1-18. doi: 10.1186/s13550-024-01100-x
Moradi, Hamed, Vashistha, Rajat, O’Brien, Kieran, Hammond, Amanda, Vegh, Viktor and Reutens, David (2024). A short 18F-FDG imaging window triple injection neuroimaging protocol for parametric mapping in PET. EJNMMI Research, 14 (1) 1, 1-14. doi: 10.1186/s13550-023-01061-7
Vashistha, Rajat, Moradi, Hamed, Hammond, Amanda, O’Brien, Kieran, Rominger, Axel, Sari, Hasan, Shi, Kuangyu, Vegh, Viktor and Reutens, David (2024). ParaPET: non-invasive deep learning method for direct parametric brain PET reconstruction using histoimages. EJNMMI Research, 14 (1) 10, 1-13. doi: 10.1186/s13550-024-01072-y
Vashistha, Rajat and Sahdev, Ravinder Kumar (2024). Message from the Organizing Secretaries. Proceedings - 2024 3rd International Conference on Computational Modelling, Simulation and Optimization, ICCMSO 2024. doi: 10.1109/ICCMSO61761.2024.00008
Kumar, Anil, Naz, Farheen, Luthra, Sunil, Vashistha, Rajat, Kumar, Vikas, Garza-Reyes, Jose Arturo and Chhabra, Deepak (2023). Digging DEEP: Futuristic building blocks of omni-channel healthcare supply chains resiliency using machine learning approach. Journal of Business Research, 162 113903, 1-14. doi: 10.1016/j.jbusres.2023.113903
Kumar, Manish, Vashistha, Rajat and Sahdev, Ravinder Kumar (2023). Message from the Organizing Secretaries ICCMSO 2023. Proceedings - 2023 2nd International Conference on Computational Modelling, Simulation and Optimization, ICCMSO 2023. doi: 10.1109/ICCMSO59960.2023.00008
Yadav, Dinesh, Yadav, Jyoti, Vashistha, Rajat, Goyal, Dharminder P. and Chhabra, Deepak (2021). Modeling and simulation of an open channel PEHF system for efficient PVDF energy harvesting. Mechanics of Advanced Materials and Structures, 28 (8), 812-826. doi: 10.1080/15376494.2019.1601307
Yadav, Jyoti, Yadav, Dinesh, Vashistha, Rajat, Goyal, D. P. and Chhabra, Deepak (2019). Green energy generation through PEHF–a blueprint of alternate energy harvesting. International Journal of Green Energy, 16 (3), 242-255. doi: 10.1080/15435075.2018.1562930
Vashistha, Rajat, Kumar, Prasoon, Dangi, Arun Kumar, Sharma, Naveen, Chhabra, Deepak and Shukla, Pratyoosh (2019). Quest for cardiovascular interventions: precise modeling and 3D printing of heart valves. Journal of Biological Engineering, 13 (1) 13, 1-12. doi: 10.1186/s13036-018-0132-5
Vashistha, Rajat, Dangi, Arun Kumar, Kumar, Ashwani, Chhabra, Deepak and Shukla, Pratyoosh (2018). Futuristic biosensors for cardiac health care: an artificial intelligence approach. 3 Biotech, 8 (8) 358. doi: 10.1007/s13205-018-1368-y
Vashistha, Rajat, Chhabra, Deepak and Shukla, Pratyoosh (2018). Integrated Artificial Intelligence Approaches for Disease Diagnostics. Indian Journal of Microbiology, 58 (2), 252-255. doi: 10.1007/s12088-018-0708-2
Conference Paper
Vashistha, Rajat, Moradi, Hamed, Brosda, Sandra, Aoude, Lauren, Vegh, Viktor and Barbour, Andrew (2024). Unsupervised clustering of PET/CT imaging features in stage III/IV melanoma. Annual Meeting of the Society of Nuclear Medicine and Molecular Imaging (SNMMI), Toronto, ON, Canada, 8-11 June 2024. Reston, VA, United States: Society of Nuclear Medicine.
Thesis
Vashistha, Rajat (2024). Machine learning for positron emission tomography (PET) reconstruction and analysis. PhD Thesis, Queensland Brain Institute, The University of Queensland. doi: 10.14264/ebb3c4a