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…
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…
MedSegDiffNCA: Diffusion Models With Neural Cellular Automata for Skin Lesion Segmentation
Avni Mittal, John Kalkhof, Anirban Mukhopadhyay +1
Denoising Diffusion Models (DDMs) are widely used for high-quality image generation and medical image segmentation but often rely on Unet-based architectures, leading to high compu…
Generating Visual Stimuli from EEG Recordings using Transformer-encoder based EEG encoder and GAN
Rahul Mishra, Arnav Bhavsar
In this study, we tackle a modern research challenge within the field of perceptual brain decoding, which revolves around synthesizing images from EEG signals using an adversarial…