11 citations · 18 across the 9 of their papers we have counts for
9 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…
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…
MHATC: Autism Spectrum Disorder identification utilizing multi-head attention encoder along with temporal consolidation modules
Ranjeet Ranjan Jha, Abhishek Bhardwaj, Devin Garg +2
Resting-state fMRI is commonly used for diagnosing Autism Spectrum Disorder (ASD) by using network-based functional connectivity. It has been shown that ASD is associated with brai…
UESegNet: Context Aware Unconstrained ROI Segmentation Networks for Ear Biometric
Aman Kamboj, Rajneesh Rani, Aditya Nigam +1
Biometric-based personal authentication systems have seen a strong demand mainly due to the increasing concern in various privacy and security applications. Although the use of eac…
SP-NET: One Shot Fingerprint Singular-Point Detector
Geetika Arora, Ranjeet Ranjan Jha, Akash Agrawal +2
Singular points of a fingerprint image are special locations having high curvature properties. They can play a pivotal role in fingerprint normalization and reliable feature extrac…
UBSegNet: Unified Biometric Region of Interest Segmentation Network
Ranjeet Ranjan Jha, Daksh Thapar, Shreyas Malakarjun Patil +1
Digital human identity management, can now be seen as a social necessity, as it is essentially required in almost every public sector such as, financial inclusions, security, banki…