5 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…
Benchmarking Automatic Speech Recognition Models for African Languages
Alvin Nahabwe, Sulaiman Kagumire, Denis Musinguzi +5
Automatic speech recognition (ASR) for African languages remains constrained by limited labeled data and the lack of systematic guidance on model selection, data scaling, and decod…
PaliGemma-CXR: A Multi-task Multimodal Model for TB Chest X-ray Interpretation
Denis Musinguzi, Andrew Katumba, Sudi Murindanyi
Tuberculosis (TB) is a infectious global health challenge. Chest X-rays are a standard method for TB screening, yet many countries face a critical shortage of radiologists capable…