4 papers
Does Vision-Language Pretraining Granularity Matter? A Controlled Evaluation of Vision-Language Objectives Across Chest X-Ray Interpretation Tasks
Denis Musinguzi, Andrew Katumba, Prasenjit Mitra
Vision-language pretraining objectives differ in the spatial granularity of their supervision, yet the implications of this distribution for chest X-ray interpretation remain under…
Enhancing Visual Reasoning in Chest X-Ray Report Generation Using Reinforcement Learning
Denis Musinguzi, Andrew Katumba, Prasenjit Mitra
Medical report generation has made significant progress with the rise of modern vision-language models and the growing availability of large-scale medical datasets. However, halluc…
Location-Aware Pretraining for Medical Difference Visual Question Answering
Denis Musinguzi, Caren Han, Prasenjit Mitra
Differential medical VQA models compare multiple images to identify clinically meaningful changes and rely on vision encoders to capture fine-grained visual differences that reflec…
Transfer Learning and Double U-Net Empowered Wave Propagation Model in Complex Indoor Environment
Ziheng Fu, Swagato Mukherjee, Michael T. Lanagan +3
A Machine Learning (ML) network based on transfer learning and transformer networks is applied to wave propagation models for complex indoor settings. This network is designed to p…