Overview
Availability
- Dr Rajat Vashistha is:
- Available for supervision
Qualifications
- Doctor of Philosophy of Biomedical Engineering, The University of Queensland
Research interests
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Medical Image Analysis
Analysis of PET, CT, MRI and digital histology to identify image biomarkers for prognosis and survival analysis in Neurology and Oncology. Presently working on oesophagus adenocarcinoma, Melanoma, squamous cell carcinoma of lung and Epilepsy.
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PET image acquisition and reconstruction
Design short scanning protocols with low doses using state-of-the-art methods for fast acquisition. Application of AI for high quality PET reconstruction due to limitation in acquisitions. Interested in dynamic imaging, Time-of-flight scanner based reconstruction.
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Application of generative ML model
Generative machine learning models for clinical applications. Experience working with transformers, diffusion models and generative adversarial networks.
Works
Search Professor Rajat Vashistha’s works on UQ eSpace
2024
Journal Article
Modular GAN: positron emission tomography image reconstruction using two generative adversarial networks
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
2024
Journal Article
Evaluation of deep‐learning TSE images in clinical musculoskeletal imaging
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
2024
Conference Publication
Unsupervised clustering of PET/CT imaging features in stage III/IV melanoma
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.
2024
Other Outputs
Machine learning for positron emission tomography (PET) reconstruction and analysis
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
2024
Journal Article
Automated extraction of the arterial input function from brain images for parametric PET studies
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
2024
Journal Article
A short 18F-FDG imaging window triple injection neuroimaging protocol for parametric mapping in PET
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
2024
Journal Article
Message from the Organizing Secretaries
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
2024
Journal Article
ParaPET: non-invasive deep learning method for direct parametric brain PET reconstruction using histoimages
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
2023
Journal Article
Digging DEEP: Futuristic building blocks of omni-channel healthcare supply chains resiliency using machine learning approach
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
2023
Journal Article
Message from the Organizing Secretaries ICCMSO 2023
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
2021
Journal Article
Modeling and simulation of an open channel PEHF system for efficient PVDF energy harvesting
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
2019
Journal Article
Green energy generation through PEHF–a blueprint of alternate energy harvesting
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
2019
Journal Article
Quest for cardiovascular interventions: Precise modeling and 3D printing of heart valves
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) 12, 13. doi: 10.1186/s13036-018-0132-5
2018
Journal Article
Futuristic biosensors for cardiac health care: an artificial intelligence approach
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
2018
Journal Article
Integrated Artificial Intelligence Approaches for Disease Diagnostics
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
2018
Book Chapter
Artificial intelligence integration for neurodegenerative disorders
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
Supervision
Availability
- Dr Rajat Vashistha is:
- Available for supervision
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