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My research goals are to develop new probabilistic machine learning frameworks in computer vision and in medical imaging, particularly in the context of neurology and neurosurgery. This includes the development of probabilistic graphical models for pathology (lesion, tumour) detection and segmentation in large, multi-center patient images dataset, on automatically identifying imaging biomarkers that predict disease progression in patients as well as potential responders to treatment. I have worked extensively on developing fast and efficient multi-modal image registration techniques for clinical interventions, such as image-guided neurosurgery.
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arxiv(2024)
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arxiv(2024)
Journal of the Neurological Sciences (2023): 121043
MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, MICCAI 2023, PT III (2023): 189-198
Amar Kumar, Nima Fathi,Raghav Mehta,Brennan Nichyporuk,Jean-Pierre R. Falet,Sotirios Tsaftaris,Tal Arbel
CLINICAL IMAGE-BASED PROCEDURES, FAIRNESS OF AI IN MEDICAL IMAGING, AND ETHICAL AND PHILOSOPHICAL ISSUES IN MEDICAL IMAGING, CLIP 2023, FAIMI 2023, EPIMI 2023 (2023): 276-286
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