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A zero-shot image inpainting technique based on the Denoising Diffusion Null-Space Model (DDNM+) for image reconstruction on occluded surgical images

Integrating segmentation models with optical flow for enhanced moving object detection and classification in ureteroscopy videos

Estimating radiation dose in fetal CT imaging using Monte Carlo simulations, with a focus on how dose distribution varies across tissue categories

Replicate DTCWT implementation (Barglazan and Brad) and extend it for multiple wavelet families assessing their efficacy for inpainting detection

Multimodal deep learning model leveraging image and time-series data from milling blade to accurately classify it's state

Optimizing the Cooley-Tukey FFT algorithm for GPU acceleration using CUDA for improved performance in signal processing applications

Comparative analysis between CNNs & Vision Transformers Fine-tuned using transfer learning & data augmentation for skin cancer detection

Simulation of balanced steady-state free precession (bSSFP) MRI sequence with stack-of-stars sampling for improved image quality

Analysis of solar supply and energy demand data in USA with focus on grid simulations to assess supply-demand gap in California

A web-based tracking and visualization application for Student Health Services at UCSD for better assessment of student engagement