3 citations · 8 across the 7 of their papers we have counts for
7 papers
DIFR3CT: Latent Diffusion for Probabilistic 3D CT Reconstruction from Few Planar X-Rays
Yiran Sun, Hana Baroudi, Tucker Netherton +4
Computed Tomography (CT) scans are the standard-of-care for the visualization and diagnosis of many clinical ailments, and are needed for the treatment planning of external beam ra…
Fairness and Bias Mitigation in Computer Vision: A Survey
Sepehr Dehdashtian, Ruozhen He, Yi Li +4
Computer vision systems have witnessed rapid progress over the past two decades due to multiple advances in the field. As these systems are increasingly being deployed in high-stak…
DRAGON: Drone and Ground Gaussian Splatting for 3D Building Reconstruction
Yujin Ham, Mateusz Michalkiewicz, Guha Balakrishnan
3D building reconstruction from imaging data is an important task for many applications ranging from urban planning to reconnaissance. Modern Novel View synthesis (NVS) methods lik…
Benchmarking Algorithmic Bias in Face Recognition: An Experimental Approach Using Synthetic Faces and Human Evaluation
Hao Liang, Pietro Perona, Guha Balakrishnan
We propose an experimental method for measuring bias in face recognition systems. Existing methods to measure bias depend on benchmark datasets that are collected in the wild and a…
CT Reconstruction from Few Planar X-rays with Application towards Low-resource Radiotherapy
Yiran Sun, Tucker Netherton, Laurence Court +2
CT scans are the standard-of-care for many clinical ailments, and are needed for treatments like external beam radiotherapy. Unfortunately, CT scanners are rare in low and mid-reso…
X-ray Recognition: Patient identification from X-rays using a contrastive objective
Hao Liang, Kevin Ni, Guha Balakrishnan
Recent research demonstrates that deep learning models are capable of precisely extracting bio-information (e.g. race, gender and age) from patients' Chest X-Rays (CXRs). In this p…