5 papers
MedNet and U-ViT: A Nested Vision Transformer Diffusion Framework for Diverse Medical Images Generation
Lakshmikar R. Polamreddy, Jialu Li, Youshan Zhang
The scarcity of diverse, high-quality medical images remains a significant bottleneck in advancing AI-driven medical diagnostics and treatment planning. Traditional datasets often…
Clinical Domain Classification from Medical Transcriptions
Sravani Pottipati, Lakshmikar R. Polamreddy
Clinical domain classification plays an important role in organizing and analyzing large volumes of unstructured medical text. However, medical transcription datasets are often hig…
Confident Pseudo-labeled Diffusion Augmentation for Canine Cardiomegaly Detection
Shiman Zhang, Lakshmikar Reddy Polamreddy, Youshan Zhang
Canine cardiomegaly, marked by an enlarged heart, poses serious health risks if undetected, requiring accurate diagnostic methods. Current detection models often rely on small, poo…
Leapfrog Latent Consistency Model (LLCM) for Medical Images Generation
Lakshmikar R. Polamreddy, Kalyan Roy, Sheng-Han Yueh +4
The scarcity of accessible medical image data poses a significant obstacle in effectively training deep learning models for medical diagnosis, as hospitals refrain from sharing the…
LaksNet: an end-to-end deep learning model for self-driving cars in Udacity simulator
Lakshmikar R. Polamreddy, Youshan Zhang
The majority of road accidents occur because of human errors, including distraction, recklessness, and drunken driving. One of the effective ways to overcome this dangerous situati…