1 citations · 1 across the 3 of their papers we have counts for
6 papers
VISTA: Visualization of Token Attribution via Efficient Analysis
Syed Ahmed, Bharathi Vokkaliga Ganesh, Jagadish Babu P +8
Understanding how Large Language Models (LLMs) process information from prompts remains a significant challenge. To shed light on this "black box," attention visualization techniqu…
Design Behaviour Codes (DBCs): A Taxonomy-Driven Layered Governance Benchmark for Large Language Models
G. Madan Mohan, Veena Kiran Nambiar, Kiranmayee Janardhan
We introduce the Dynamic Behavioral Constraint (DBC) benchmark, the first empirical framework for evaluating the efficacy of a structured, 150-control behavioral governance layer,…
Comparative Evaluation of Traditional Methods and Deep Learning for Brain Glioma Imaging. Review Paper
Kiranmayee Janardhan, Vinay Martin DSa Prabhu, T. Christy Bobby
Segmentation is crucial for brain gliomas as it delineates the glioma s extent and location, aiding in precise treatment planning and monitoring, thus improving patient outcomes. A…
Glioma Classification using Multi-sequence MRI and Novel Wavelets-based Feature Fusion
Kiranmayee Janardhan, Christy Bobby Thomas
Glioma, a prevalent and heterogeneous tumor originating from the glial cells, can be differentiated as Low Grade Glioma (LGG) and High Grade Glioma (HGG) according to World Health…
Deep Learning-Based Approach for Automatic 2D and 3D MRI Segmentation of Gliomas
Kiranmayee Janardhan, Christy Bobby T
Brain tumor diagnosis is a challenging task for clinicians in the modern world. Among the major reasons for cancer-related death is the brain tumor. Gliomas, a category of central…
Subclass Classification of Gliomas Using MRI Fusion Technique
Kiranmayee Janardhan, Christy Bobby Thomas
Glioma, the prevalent primary brain tumor, exhibits diverse aggressiveness levels and prognoses. Precise classification of glioma is paramount for treatment planning and predicting…