9 papers
Hybrid SEIR Temporal Fusion Transformer Framework with SHAP Analysis for Interpretable Pandemic Forecasting
Ashish Anton Abraham, Gopi Krishnan R, Aiswarya Anil Nair +2
Forecasting pandemic spread across heterogeneous regions demands models that are both accurate and interpretable for public health action. This paper proposes a hybrid forecasting…
Clinical Reasoning Under a Partially Observed Objective in Cone Beam CT Report Generation
Ajo Babu George, Govind Arun, Sidharth N Krishna +1
Maxillofacial report generation from cone beam computed tomography is scored here by a composite objective placing 80% of its weight on a large language model judgement of factual…
Occlusal Geometry in Closed Form for Orthodontic Report Generation
Ajo Babu George, Govind Arun, Sidharth N Krishna +1
Orthodontic report generation from intraoral data is normally cast as multimodal captioning, yet the released Bite2Text scan pairs are supplied already registered in occlusion, whi…
Rethinking LLM Verification: Evidence Structure, Uncertainty, and Selective Refinement
Uma Ranjan, Kunal Tilaganji, Aditya Koul +9
Large language models (LLMs) often rely on shortcuts rather than systematic reasoning, raising safety concerns in medical applications. Allowing models to abstain when uncertain im…
A Unified Multimodal Framework for Dataset Construction and Model-Based Diagnosis of Ameloblastoma
Ajo Babu George, Anna Mariam John, Athul Anoop +1
Artificial intelligence (AI)-enabled diagnostics in maxillofacial pathology require structured, high-quality multimodal datasets. However, existing resources provide limited amelob…
An Explainable Two Stage Deep Learning Framework for Pericoronitis Assessment in Panoramic Radiographs Using YOLOv8 and ResNet-50
Ajo Babu George, Pranav S, Kunal Agarwal
Objectives: To overcome challenges in diagnosing pericoronitis on panoramic radiographs, an AI-assisted assessment system integrating anatomical localization, pathological classifi…
MICCAI STSR 2025 Challenge: Semi-Supervised Teeth and Pulp Segmentation and CBCT-IOS Registration
Yaqi Wang, Zhi Li, Chengyu Wu +15
Cone-Beam Computed Tomography (CBCT) and Intraoral Scanning (IOS) are essential for digital dentistry, but annotated data scarcity limits automated solutions for pulp canal segment…
Multi-Modal Oral Cancer Detection Using Weighted Ensemble Convolutional Neural Networks
Ajo Babu George, Sreehari J R Ajo Babu George, Sreehari J R
Aims Late diagnosis of Oral Squamous Cell Carcinoma (OSCC) contributes significantly to its high global mortality rate, with over 50\% of cases detected at advanced stages and a 5-…
Deep Learning for Oral Health: Benchmarking ViT, DeiT, BEiT, ConvNeXt, and Swin Transformer
Ajo Babu George, Sadhvik Bathini, Niranjana S R
Objective: The aim of this study was to systematically evaluate and compare the performance of five state-of-the-art transformer-based architectures - Vision Transformer (ViT), Dat…