6 papers
TrackletGPT: A Language-like GPT Framework for White Matter Tract Segmentation
Anoushkrit Goel, Simroop Singh, Ankita Joshi +4
White Matter Tract Segmentation is imperative for studying brain structural connectivity, neurological disorders and neurosurgery. This task remains complex, as tracts differ among…
TractRLFusion: A GPT-Based Multi-Critic Policy Fusion Framework for Fiber Tractography
Ankita Joshi, Ashutosh Sharma, Anoushkrit Goel +4
Tractography plays a pivotal role in the non-invasive reconstruction of white matter fiber pathways, providing vital information on brain connectivity and supporting precise neuros…
EAD: An EEG Adapter for Automated Classification
Pushapdeep Singh, Jyoti Nigam, Medicherla Vamsi Krishna +2
While electroencephalography (EEG) has been a popular modality for neural decoding, it often involves task specific acquisition of the EEG data. This poses challenges for the devel…
TractoGPT: A GPT architecture for White Matter Segmentation
Anoushkrit Goel, Simroop Singh, Ankita Joshi +4
White matter bundle segmentation is crucial for studying brain structural connectivity, neurosurgical planning, and neurological disorders. White Matter Segmentation remains challe…
Tract-RLFormer: A Tract-Specific RL policy based Decoder-only Transformer Network
Ankita Joshi, Ashutosh Sharma, Anoushkrit Goel +4
Fiber tractography is a cornerstone of neuroimaging, enabling the detailed mapping of the brain's white matter pathways through diffusion MRI. This is crucial for understanding bra…
TractoEmbed: Modular Multi-level Embedding framework for white matter tract segmentation
Anoushkrit Goel, Bipanjit Singh, Ankita Joshi +4
White matter tract segmentation is crucial for studying brain structural connectivity and neurosurgical planning. However, segmentation remains challenging due to issues like class…