collaborators

5 papers

cs.LG2026

Honest Lying: Understanding Memory Confabulation in Reflexive Agents

Prakhar Dixit, Sadia Kamal, Tim Oates

Reflexion-style agents rely on self-generated reflections as memory, implicitly assuming that agents can accurately diagnose their own failures. We show that this assumption can fa…

cs.CV2026

WildfireVLM: AI-powered Analysis for Early Wildfire Detection and Risk Assessment Using Satellite Imagery

Aydin Ayanzadeh, Prakhar Dixit, Sadia Kamal +1

Wildfires are a growing threat to ecosystems, human lives, and infrastructure, with their frequency and intensity rising due to climate change and human activities. Early detection…

cs.CV2025

Skin-SOAP: A Weakly Supervised Framework for Generating Structured SOAP Notes

Sadia Kamal, Tim Oates, Joy Wan

Skin carcinoma is the most prevalent form of cancer globally, accounting for over $8 billion in annual healthcare expenditures. Early diagnosis, accurate and timely treatment are c…

cs.CV2025

Towards Scalable SOAP Note Generation: A Weakly Supervised Multimodal Framework

Sadia Kamal, Tim Oates, Joy Wan

Skin carcinoma is the most prevalent form of cancer globally, accounting for over $8 billion in annual healthcare expenditures. In clinical settings, physicians document patient vi…

cs.CV2025

MedGrad E-CLIP: Enhancing Trust and Transparency in AI-Driven Skin Lesion Diagnosis

Sadia Kamal, Tim Oates

As deep learning models gain attraction in medical data, ensuring transparent and trustworthy decision-making is essential. In skin cancer diagnosis, while advancements in lesion d…