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Search results (32)

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Automated detection of lacunes in brain MR images using SAM with robust prompts using self-distillation and anatomy-informed priors.

Deepika P. et al, (2025), Comput Biol Med, 196

Label-efficient sequential model-based weakly supervised intracranial hemorrhage segmentation in low-data non-contrast CT imaging.

Ramananda SH. and Sundaresan V., (2025), Med Phys, 52, 2123 - 2144

MedLesSynth-LD: Lesion synthesis using physics-based noise models for robust lesion segmentation in low-data medical imaging regimes.

Narayanan R. and Sundaresan V., (2025), Pattern Recognit Lett, 188, 155 - 163

Self-supervised segmentation and characterization of fiber bundles in anatomic tracing data.

Sundaresan V. et al, (2025)

Self-supervised segmentation and characterization of fiber bundles in anatomic tracing data.

Sundaresan V. et al, (2025), Imaging Neurosci (Camb), 3

Automated characterisation of cerebral microbleeds using their size and spatial distribution on brain MR images

Sundaresan V. et al, (2025)

Automated characterisation of cerebral microbleeds using their size and spatial distribution on brain MRI

Sundaresan V. et al, (2024), European radiology experimental

Automated quality assessment using appearance-based simulations and hippocampus segmentation on low-field paediatric brain MR images

Sundaresan V. and Dinsdale NK., (2024)

Class Activation Map-based Weakly supervised Hemorrhage Segmentation using Resnet-LSTM in Non-Contrast Computed Tomography images

Ramananda SH. and Sundaresan V., (2023)

Automated detection of cerebral microbleeds on MR images using knowledge distillation framework.

Sundaresan V. et al, (2023), Front Neuroinform, 17

Challenges for machine learning in clinical translation of big data imaging studies

Dinsdale NK. et al, (2022), Neuron, 110, 3866 - 3881

Constrained self-supervised method with temporal ensembling for fiber bundle detection on anatomic tracing data

Sundaresan V. et al, (2022)

Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge.

Campello VM. et al, (2021), IEEE Trans Med Imaging, 40, 3543 - 3554

Comparison of domain adaptation techniques for white matter hyperintensity segmentation in brain MR images.

Sundaresan V. et al, (2021), Med Image Anal, 74

Triplanar ensemble U-Net model for white matter hyperintensities segmentation on MR images.

Sundaresan V. et al, (2021), Med Image Anal, 73

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